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硕士报考志愿采集    更新日期：2023年10月13日
姓 名 杨健 性 别 男
出生年月 1973年6月 籍贯 徐州
民 族 汉族 政治面貌 九三学社社员
最后学历 博士研究生 最后学位 工学博士
技术职称 教授 导师类别 博士生导师
导师类型 校内 兼职导师 否
行政职务 Email csjyang@njust.edu.cn
工作单位 南京理工大学计算机学院 邮政编码 210094
通讯地址 南京市玄武区孝陵卫200号
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学科专业(主) 081104|模式识别与智能系统 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

研究领域：模式识别、计算机视觉、机器学习（包括深度学习）、类脑（类人）计算等。

应用领域：视频监控（以人为中心的感知）、无人驾驶汽车、智能机器人等。

做学问，需“三分知识，七分悟性；十分投入，百分热情”。 对模式识别而言，三分知识即“一分数学、一分语言、一分专业”（专业知识只需在入学后掌握）。 “七分悟性，十分投入，百分热情”是对所有学科均适用的准则。 热忱欢迎认同或理解以上准则的有志者报考本人的博士、硕士研究生！

本年度本课题组还要少量的直博指标，双一流高校已获得推免资格的本科生，若愿意直博，请与我联系！
学科专业（辅） 081203|计算机应用技术 招生类别 博、硕士 所在学院 计算机科学与工程学院
研究方向

智能科学技术及应用：自主驾驶（包括行车环境感知等）、智能机器人等

 
工作经历

国家

单位

职务

起始时间

结束时间       

西班牙

萨拉戈萨大学

博士后

2003.1

2013.12

中国

香港理工大学

博士后

2004.4

2006.11

美国

新泽西理工学院

博士后

2006.12

2007.9

美国

加州理工学院

访问学者

2011.4

2011.9
 

 

教育经历

院校

专业

学历/学位

起始时间

结束时间

徐州师范大学

数学

学士

1991.9

1995.7

长沙铁道学院

数学

硕士

1995.9

1998.6

南京理工大学

模式识别与智能系统

博士

1999.9

2002.7
 

 

获奖、荣誉称号

荣誉称号

2011年度获批国家杰出青年科学基金项目资助;

2014年入选度国家级特聘教授；

2016年入选IAPR Fellow。

 

获奖情况

2021年度江苏省科学技术（基础类）一等奖，项目名称：“图像复原与稳健表示的理论与方法”，第一完成人

2017年度高等学校科学研究优秀成果奖自然科学一等奖，项目名称：“视觉信息的表示学习理论与方法”，第一完成人

2017年度江苏省科学技术（基础类）一等奖，项目名称：“图像结构表征和识别的理论与方法”，第一完成人

2014年黑龙江省科学技术（自然科学类）二等奖，项目名称：“生物特征识别中的特征抽取和特征表达方法”，第二完成人

2009年度国家自然科学奖二等奖，项目名称：“特征抽取理论与算法研究”，第二完成人

2008年教育部科技进步（推广类）二等奖，项目名称：“面向金融安全的智能信息处理技术及应用”，第二完成人

2007年江苏省科技进步一等奖，项目名称：“特征抽取理论、算法与应用研究”，第二完成人

2009年获第十一届中国青年科技奖

 

社会、学会及学术兼职

担任人工智能学会模式识别专委会副主任、江苏省人工智能学会模式识别专委会主任；

担任/曾担任以下国际SCI源学术期刊的Associate Editor：

Pattern Recognition, IEEE Trans. on Neural Networks and Learning Systems,

Pattern Recognition Letters, Neurocomputing

 

 

 

科研项目

1.    广州省重点领域研发项目（新一代人工智能专项），新一代智能网联汽车视觉与环境感知处理系统 （项目编号：2018B010108003，研究期限：2018年7月 -- 2021年5月，项目牵头单位：惠州市德赛西威汽车电子股份有限公司）参与单位负责人

 

2. 国家自然科学基金联合基金重点项目，服务机器人的主动环境认知与目标行为识别方法 (项目批准号：U1713208; 研究期限：2018年1月 -- 2021年12月)，项目负责人

3. 国家自然科学基金重大研究计划重点支持项目，生物认知机制和特性启发的视觉计算模型与方法研究 (项目批准号：91420201; 研究期限：2015年1月 -- 2017年12月) , 项目负责人

4. 国家杰出青年科学基金，模式识别与智能系统 (项目批准号：61125305; 研究期限：2012年1月 -- 2015年12月), 项目负责人

5. 国家973项目，基于DPS的感知灵敏度拓展理论与关键技术（项目编号：2014CB349300）, 第三课题：基于DPS的感知信息特征模型与实时反馈（课题编号：2014CB349303，研究期限：2014年1月 -- 2018年12月），课题负责人

发表论文

   在模式识别和机器智能领域的顶级国际期刊 IEEE Trans. on PAMI上发表论文10余篇，在IEEE Trans. on Neural Networks, IEEE Trans. on Image Processing, and IEEE Trans. Cybernetics, Pattern Recognition等国际SCI源期刊上发表论文200余篇；在CVPR, ICCV, ECCV, NIPS, AAAI, IJCAI, ICRA等CCF A、B类会议上发表论文100余篇；Google Scholar被引用已逾39000次，单篇论文最高被引用逾4700次。

Selected International Conference Papers

2023年度

  1. Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li*, Jian Yang*, DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion, AAAI 2023.
  2. Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian*, Jun Li*, Jian Yang, Recurrent Structure Attention Guidance for Depth Super-Resolution, AAAI 2023.
  3. Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li*, Jian Yang*, Structure Flow-Guided Network for Real Depth Super-Resolution, AAAI 2023.
  4. Chuanwei Zhou, Zhen Cui, Chunyan Xu, Cao Han, Jian Yang, Exploratory Inference Learning for Scribble Supervised Semantic Segmentation, AAAI 2023.
  5. Zheng Li, Xiang Li*, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang*, Curriculum Temperature for Knowledge Distillation, AAAI 2023.
  6. Yaqi Shen, Le Hui, Jin Xie, Jian Yang, Self-Supervised 3D Scene Flow Estimation Guided by Superpoint, CVPR 2023.
  7. Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Mathieu Salzmann, Jian Yang, Robust Outlier Rejection for 3D Registration with Variational Bayes, CVPR 2023
  8. Kangkan Wang, Guofeng Zhang, Suxu Cong, Jian Yang, Clothed Human Performance Capture with a Double-layer Neural Radiance Fields, CVPR 2023.
  9. Senmao Li, Joost van de Weijer, Yaxing Wang, Fahad Khan, Meiqin Liu, Jian Yang, 3D-aware Multi-class Image-to-image Translation with NeRFs, CVPR 2023.
  10. Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, Jian Yang, Curricular Object Manipulation in LiDAR-based Object Detection, CVPR 2023.
  11. Yaqing Ding, jian Yang, Viktor Larsson, Carl Olsson, Kalle Astroem, Revisiting the p3p problem, CVPR 2023.
  12. Jiahui Fan, Beibei Wang, Jian Yang, Neural Biplane Representation for BTF Rendering and Acquisition, SIGGRAPH 2023 (Conference).
  13. Yuang Cui, Gaole Pan, Beibei Wang*, Jian Yang, Lei Zhang, Ling-Qi Yan, Multiple-bounce Smith Microfacet BRDFs using the Invariance Principle, SIGGRAPH Asia 2023.
  14. Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang, Distortion and Uncertainty Aware Loss for Panoramic Depth Completion, Fortieth International Conference on Machine Learning (ICML2023).
  15. Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li, Large Selective Kernel Network for Remote Sensing Object Detection, ICCV2023.
  16. Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang, Creative Birds: Self-Supervised Single-View 3D Style Transfer, ICCV2023.
  17. Ziqi Gu, Chunyan Xu, Zhen Cui, Jian Yang, Few-shot Continual Infomax Learning, ICCV2023.
  18. Le Hui, Linghua Tang, Jin Xie, Jian Yang, Yuchao Dai, Efficient LiDAR Point Cloud Oversegmentation Network, ICCV2023.
  19. Haobo Jiang, Mathieu Salzmann, Zheng Dang, Shuo Gu, Jin Xie, Jian Yang, Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation, ICCV2023.
  20. Jie Xu, Shanshan Zhang, Jian Yang, Adaptive Decoupled Pose Knowledge Distillation, ACM Multimedia 2023.
  21. Haibo Chen, Lei Zhao, Jun Li, Jian Yang, TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer, ACM Multimedia 2023.
  22. Haobo Jiang, Mathieu Salzmann, Zheng Dang, Jin Xie, Jian Yang, SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation, NeurIPS 2023.
  23. Lingfeng Yang, Yueze Wang, Xiang Li, Jian Yang, Fine-Grained Visual Prompting, NeurIPS 2023.

 

2022年度

  1. Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang, RecursiveMix: Mixed Learning with History, NeurIPS 2022.
  2. Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama, Learning Contrastive Embedding in Low-Dimensional Space, NeurIPS 2022.
  3. Le Hui, Linghua Tang, Yaqi Shen, Jin Xie, Jian Yang, Learning Superpoint Graph Cut for 3D Instance Segmentation, NeurIPS 2022.
  4. Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang, RigNet: Repetitive Image Guided Network for Depth Completion, European Conference on Computer Vision 2022 (ECCV 2022)
  5. Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang, Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion, European Conference on Computer Vision 2022 (ECCV 2022)
  6. Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang, RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation, European Conference on Computer Vision 2022 (ECCV 2022)
  7. Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang, 3D Siamese Transformer Network for Single Object Tracking on Point Clouds, European Conference on Computer Vision 2022 (ECCV 2022)
  8. Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele, Class-Agnostic Object Counting Robust to Intraclass Diversity, European Conference on Computer Vision 2022 (ECCV 2022)
  9. Yang Shen, Xu Hao Sun, Xiu-Shen Wei, Qing-Yuan Jiang, Jian Yang, SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval, European Conference on Computer Vision 2022 (ECCV 2022)
  10. Yanling Tian, Di Chen, Yunan Liu, Shanshan Zhang, Jian Yang, Grouped Adaptive Loss Weighting for Person Search, ACM Multimedia 2022.
  11. Hanyu Xuan, Yihong Xu, Shuo Chen, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda, Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination, the 31st International Joint Conference on Artificial Intelligence (IJCAI-2022) Short presentation
  12. Yu-Yan Xu, Xiu-Shen Wei, Yang Shen, Jian Yang, Webly-Supervised Fine-Grained Recognition with Partial Label Learning, the 31st International Joint Conference on Artificial Intelligence (IJCAI-2022). Short presentation
  13. Beibei Wang, Wenhua Jin, Jiahui Fan, Nicolas Holzschuch, Jian Yang, Ling-Qi Yan, Position-free Multiple-bounce Computations for Smith Microfacet BSDFs, SIGGRAPH 2022 (Journal).
  14. Jiahui Fan, Beibei Wang, Milos Hasan, Jian Yang, Ling-Qi Yan, Neural Layered BRDFs, SIGGRAPH 2022 (Conference).
  15. Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang, Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022). Oral
  16. Hanyu Xuan, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda, A Proposal-based Paradigm for Self-supervised Sound Source Localization in Videos, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).
  17. Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele, Bi-level Alignment for Cross-Domain Crowd Counting, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).
  18. Yaqing Ding, Daniel Barath, Jian Yang, Zuzana Kukelova, Relative Pose from a Calibrated and an Uncalibrated Smartphone Image, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).
  19. Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang, Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).
  20. Ziqiang Xu, Chunyan Xu, Zhen Cui, Xiangwei Zheng, Jian Yang, CVNet: Contour Vibration Network for Building Extraction, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022).
  21. Qianliang Wu, Yaqing Ding, Xinlei Qi, Jin Xie, Jian Yang, Globally Optimal Relative Pose Estimation for Multi-Camera Systems with Known Gravity Direction, ICRA 2022, May 23-27, Philadelphia (PA), USA.
  22. Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Jürgen Gall, Bernt Schiele, Keypoint Message Passing for Video-based Person Re-Identification, AAAI 2022.
  23. Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang, Reliable Inlier Evaluation for Unsupervised Point Cloud Registration, AAAI 2022.

 

2021年度

  1. Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie*, Jian Yang*, 3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds, NeurIPS 2021.
  2. Zhuo Huang, Chao Xue, Bo Han, Jian Yang, Chen Gong, Universal Semi-Supervised Learning, NeurIPS 2021.
  3. Yunan Liu, Shanshan Zhang, Yang Li, Jian Yang, Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation, NeurIPS 2021.
  4. Xiu-Shen Wei, Yang Shen, Xuhao Sun, Han-Jia Ye, Jian Yang*, A-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval, NeurIPS 2021 (short presentation)
  5. Haobo Jiang, Yaqi Shen, Jun Li, Jianjun Qian, Jin Xie*, Jian Yang*, Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration, ICCV2021.
  6. Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie*, Xiaoya Zhang, Jian Yang*, Superpoint Network for Point Cloud Oversegmentation, ICCV2021.
  7. Le Hui, Hang Yang, Mingmei Cheng, Jin Xie*, Jian Yang*, Pyramid Point Cloud Transformer for Large-Scale Place Recognition, ICCV2021.
  8. Kun Wang, Zhiqiang Yan, Xiang Li, Zhenyu Zhang, Jun Li*, Baobei Xu, Jian Yang*, Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark, ICCV2021.
  9. Yun Wang, Tong Zhang, Xueya Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang, Wasserstein Coupled Graph Learning for Cross-Modal Retrieval, ICCV2021.
  10. Jingshan Xu, Chuanwei Zhou, Zhen Cui, Chunyan Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang, Scribble-Supervised Semantic Segmentation Inference, ICCV2021.
  11. Mengyuan Ding, Shanshan Zhang, Jian Yang, Improving Pedestrian Detection from a Long-tailed Domain Perspective, The 29th ACM International Conference on Multimedia (ACM Multimedia 2021).
  12. Xiaoya Zhang, Ling Zhou, Yong Li, Zhen Cui, Jin Xie, Jian Yang, Transform Vision Patterns for Multi-Task Pixel Learning, The 29th ACM International Conference on Multimedia (ACM Multimedia 2021).
  13. Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama, Large-Margin Contrastive Learning with Distance Polarization Regularizer, International Conference on Machine Learning 2021 (ICML 2021). Short presentation
  14. Haobo Jiang, Jianjun Qian*, Jin Xie, Jian Yang*, Point Cloud Registration by Planning with a Learned Latent Dynamic Model, The 30th International Joint Conference on Artificial Intelligence (IJCAI-21). Short presentation
  15. Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang, Graph Deformer Network, The 30th International Joint Conference on Artificial Intelligence (IJCAI-21).
  16. Yang Yang, Chubing Zhang, Yi-Chu Xu, Dianhai Yu, De-Chuan Zhan, Jian Yang, Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective, The 30th International Joint Conference on Artificial Intelligence (IJCAI-21).
  17. Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang, Learning Normal Dynamics in Videos with Meta Prototype Network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).
  18. Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova, Globally Optimal Relative Pose Estimation with Gravity Prior, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).
  19. Zhenyu Zhang, Yanhao Ge, Renwang Chen, Ying Tai, Yan Yan, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang, Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). Oral
  20. Zongyan Han, Zhenyong Fu*, Shuo Chen, Jian Yang*, Contrastive Embedding for Generalized Zero-Shot Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).
  21. Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang*, Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021).
  22. Shuo Gu, Jian Yang, Hui Kong, A Cascaded LiDAR-Camera Fusion Network for Road Detection, IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China.
  23. Yaqing Ding, Yingna Su, Cheng-Zhong Xu, Jian Yang, Hui Kong, A general elimination strategy for camera motion estimation, IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China.
  24. Tong Zhang, Yun Wang, Zhen Cui, Chunawei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang, Deep Wasserstein Graph Discriminant Learning for Graph Classification, AAAI 2021.
  25. Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang, Graph Game Embedding, AAAI 2021.
  26. Qizhou Wang, Bo Han, Chen Gong, Tongliang Liu, Gang Niu, Jian Yang, Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model, AAAI 2021.
  27. Sheng Wan, Shirui Pan, Jian Yang, Chen Gong, Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning, AAAI 2021.
  28. Haobo Jiang, Jin Xie*, Jian Yang*, Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks, AAAI 2021.
  29. Mingmei Cheng, Le Hui, Jin Xie, Jian Yang, SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network, AAAI 2021.
  30. Yunan Liu, Shanshan Zhang, Jian Yang, PongChi Yuen, Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised Human Parsing, AAAI 2021.

 

2020年度

  1. Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang*, Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, Neural Information Processing Systems 2020 (NeurIPS2020).
  2. Xi Cheng, Zhenyong Fu*, Jian Yang*, Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning, ECCV 2020.
  3. Le Hui, Jin Xie, Jian Yang*, Progressive Point Cloud Deconvolution Generation Network, ECCV 2020.
  4. Yao Yao, Chen Gong*, Jiehui Deng, Jian Yang*, Network Cooperation with Progressive Disambiguation for Partial Label Learning, ECML-PKDD 2020.
  5. Zongyan Han, Zhenyong Fu*, Jian Yang*, Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  6. Di Chen, Shanshan Zhang*, Jian Yang*, Bernt Schiele, Norm-Aware Embedding for Efficient Person Search, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  7. Zhenyu Zhang, Yan Yan, Stéphane Lathuilière, Elisa Ricci, Jian Yang*, Nicu Sebe, Online Depth Learning against Forgetting in Monocular Videos, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  8. Xiang Li, Shuo Chen, Jian Yang*, Understanding the Disharmony between Weight Normalization Family and Weight Decay, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA.
  9. Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang*, Bernt Schiele, Hierarchical Online Instance Matching for Person Search, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA (Oral)
  10. Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang*, Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA
  11. Ying Hu, Hanyu Xuan, Jian Yang, Yan Yan, Channel Attention based Generative Network for Robust Visual Tracking, the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain.
  12. Chao Zhao, Zhenyu Zhang, Jian Yang, Yan Yan, Local-global Feature for Video-based One-shot Person Re-Identification, the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain.
  13. Yaqing Ding, Jian Yang, Hui Kong, An efficient solution to the relative pose estimation with a common direction, the 2020 International Conference on Robotics and Automation (ICRA 2020), May 31 - June 4, 2020, Paris, France.
  14. Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong, Minimal solutions to relative pose estimation from two views sharing a common direction with unknown focal length, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  15. Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan, Cross-Modality Attention Network for Temporal Inconsistent Audio-Visual Event Localization, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA
  16. Yunan Liu, Liang Zhao, Shanshan Zhang, Jian Yang. Hybrid Resolution Network Using Edge Guided Region Mutual Information Loss for Human Parsing, ACM Multimedia 2020.
  17. Gang Li, Jian Li, Shanshan Zhang, Jian Yang. Learning Hierarchical Graph for Occluded Pedestrian Detection, ACM Multimedia 2020.
  18. Zezhou Sun, Banghe Wu, Cheng-Zhong Xu, Sanjay E. Sarma, Jian Yang, Yu Zhang, Hui Kong, Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020).
  19. Ying Wang, Zezhou Sun, Cheng-Zhong Xu, Yu Zhang, Jian Yang, Hui Kong, LiDAR Iris for Loop-Closure Detection, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020).
  20. Mingmei Cheng, Le Hui, Jin Xie*, Hui Kong, Jian Yang, Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020).
  21. Xueya Zhang, Zhen Cui, Chunyan Xu, Tong Zhang, Jian Yang, Graph Wasserstein Correlation Analysis for Movie Retrieval, ECCV 2020.
  22. Tong Zhang, Baoliang Cui, Zhen Cui, Haikuan Huang, Jian Yang, Hongbo Deng, Bo Zheng，Cross-Graph Convolution Learning for Large-Scale Text-Picture Shopping Guide in E-Commerce Search, IEEE 36th International Conference on Data Engineering (ICDE 2020), Dallas, TX, USA, USA, CCF A
  23. Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang, Online Positive and Unlabeled Learning. IJCAI 2020.
  24. Kangkan Wang, Jin Xie, Lei Liu, Guofeng Zhang, Jian Yang, Sequential 3D Human Pose and Shape Estimation from Point Clouds, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  25. Ling Zhou, Zhen Cui, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, Jian Yang, Pattern-Structure Diffusion for Multi-Task Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  26. Chaoqun Wang, Chunyan Xu*, Zhen Cui*, Ling Zhou, Tong Zhang, Xiaoya Zhang, Jian Yang, Cross-Modal Pattern-Propagation for RGB-T Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, Seattle, USA
  27. Chunyan Xu, Zhen Cui, Xiaobin Hong, Tong Zhang, Jian Yang, Wei Liu. Graph Inference Learning for Semi-Superivsed Classification. International Conference on Learning Representations (ICLR), 2020. 
  28. Tong Zhang, Zhen Cui, Chunyan Xu, Wenming Zheng, Jian Yang, Variational Pathway Reasoning for EEG Emotion Recognition, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA (Oral)
  29. Jinshan Pan, Deqing Sun, Yang Liu, Jimmy Ren, Ming-Ming Cheng, Jian Yang, Jinhui Tang, Image Formation Model Guided Deep Image Super-Resolution, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA

2019年度

  1. Shuo Chen, Lei Luo, Jian Yang*, Chen Gong, Jun Li, Heng Huang, Curvilinear Distance Metric Learning, Neural Information Processing Systems 2019 (NeurIPS 2019), Vancouver, Canada.
  2. Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong, An efficient solution to the homography-based relative pose problem with a common reference direction, ICCV 2019, Korea.
  3. Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry Davis, Jun Li, Jian Yang, Ser-Nam Lim, Cross-X Learning for Fine-Grained Visual Categorization, ICCV 2019, Korea.
  4. Xi Chen, Zhenyong Fu, Jian Yang, Multi-scale Dynamic Feature Encoding Network for Image Demoireing, Advances in Image Manipulation workshop and challenges at ICCV 2019, Korea. (Second Place Winner of Task 1)
  5. Wenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang, Jian Yang, Hashing Graph Convolution for Node Classification, The 28th ACM International Conference on Information and Knowledge Management (CIKM), November, 2019, Beijing.
  6. Shuo Gu, Yigong Zhang, Jose Alvarez, Jian Yang, Hui Kong, Two-View Fusion based Convolutional Neural Network for Urban Road Detection, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov. 4-8, 2019, Macau.
  7. Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong, Positive and Unlabeled Learning with Label Disambiguation, IJCAI 2019.
  8. Xiang Li, Xiaolin Hu, Wenhai Wang, Jian Yang*, Selective Kernel Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).
  9. Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang*, Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).
  10. Zhenyu Zhang, Zhen Cui, Chunyan Xu, Yan Yan, Nicu Sebe, Jian Yang*, Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).
  11. Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian*, Jian Yang*, Chengjie Wang, Jilin Li, Feiyue Huang, DSFD: Dual Shot Face Detector, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).
  12. Chengzheng Li, Chunyan Xu, Zhen Cui, Dan Wang, Zequn Jie, Tong Zhang, Jian Yang; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 20-27 (First Place Winner of Task 2 and Second Place Winner of Task 1).
  13. Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, Hui Kong, Road Detection through CRF based LiDAR-Camera Fusion, 2019 International Conference on Robotics and Automation (ICRA 2019, Oral).
  14. Yigong Zhang, Yicheng Gao, Shuo Gu, Yubin Guo, Minghao Liu, Zezhou Sun, Zhixing Hou, Hang Yang, Ying Wang, Jean Ponce, Jian Yang, Hui Kong, DIY your own hybrid thermal/EO camera for autonomous vehicle, 2019 International Conference on Robotics and Automation (ICRA 2019, Oral).
  15. Shuo Chen, Chen Gong, Jian Yang*, Ying Tai, Le Hui, Jun Li, Data-Adaptive Metric Learning with Scale Alignment, AAAI 2019.
  16. Le Hui, Xiang Li, Chen Gong, Jian Yang*, Inter-Class Angular Loss for Convolutional Neural Networks, AAAI 2019.
  17. Jiatao Jiang, Zhen Cui, Chunyan Xu, Jian Yang, Gaussian-Induced Convolution for Graphs, AAAI 2019.

 

2018年度及之前

  1. Zhen Cui, Chunyan Xu, Wenming Zheng, and Jian Yang, Context-Dependent Diffusion Network for Visual Relationship Detection. In 2018 ACM International Conference on Multimedia (MM’ 18), October 22-26, 2018, Seoul, Republic of Korea.
  2. Zhenyu Zhang, Zhen Cui, Zequn Jie, Xiang Li, Chunyan Xu, Jian Yang*, Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation, European Conference on Computer Vision (ECCV), September 2018, Munich, Germany.
  3. Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang*, Ying Tai, Model Person Search via A Mask-guided Two-stream CNN, European Conference on Computer Vision (ECCV), September 2018, Munich, Germany.
  4. WenHai Wang, Xiang Li, Tong Lu, Jian Yang, Mixed Link Networks: A Bridge between ResNet and DenseNet, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  5. Shuo Chen, Chen Gong, Jian Yang*, Adversarial Metric Learning, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  6. Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang, Teaching Semi-Supervised Classifier via Generalized Distillation, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018.
  7. Hong Shi, Shaojun Pan, Jian Yang, Chen Gong, Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation, the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden July 13-19, 2018. (Oral)
  8. Shanshan Zhang, Jian Yang, Bernt Schiele, Occluded Pedestrian Detection through Guided Attention in CNNs, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2018).
  9. Jifeng Wang#, Xiang Li#, Jian Yang*, Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2018).
  10. Yu Chen, Ying Tai, Xiaoming Liu, Chunhua Shen, Jian Yang*, FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2018). (Spotlight)
  11. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang, Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition, AAAI 2018.
  12. Yigong Zhang, Jian Yang, Jean Ponce, Hui Kong, Dijkstra model for stereo-vision based road detection: A non-parametric method, 2018 IEEE International Conference on Robotics and Automation (ICRA 2018), Australia. (CCF B, Oral)
  13. Chen Gong, Hengmin Zhang, Jian Yang, and Dacheng Tao, Learning with Inadequate and Incorrect Supervision, International Conference on Data Mining (ICDM 2017), (CCF B)
  14. Ying Tai, Jian Yang* and Xiaoming Liu, Memnet: A persistent memory network for image restoration, International Conference on Computer Vision (ICCV 2017). (Spotlight)
  15. Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang*, Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation, International Conference on Computer Vision (ICCV 2017).
  16. Bike Chen, Chen Gong, Jian Yang*, Importance-Aware Semantic Segmentation for Autonomous Driving System, the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, August 2017. (Oral)
  17. Ying Tai, Jian Yang and Xiaoming Liu, Image Super-Resolution via Deep Recursive Residual Network, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2017).
  18. Liang Chen, Jian Yang, Hui Kong, Lidar-histogram for fast road and obstacle detection, IEEE International Conference on Robotics and Automation (ICRA 2017), May 29 - June 3, 2017, Marina Bay Sands Convention Centre, Singapore. (CCF B, Oral)       
  19. Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu. LightRNN: Memory and Computation-efficient Recurrent Neural Networks, Neural Information Processing Systems 2016 (NIPS 2016), December 5-10, 2016, Barcelona, Spain.
  20. Ying Tai, Jian Yang, Fanlong Zhang, Yigong Zhang, Lei Luo, Jianjun Qian, Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment. SIAM International Conference on Data Mining (SDM 2016): 693-701. (CCF B, Oral)

 

Selected International Journal Papers

  1. Xiaobo Chen, Huanjia Zhang, Fuwen Deng, Jun Liang, Jian Yang, Stochastic Non-Autoregressive Transformer-based Multi-modal Pedestrian Trajectory Prediction for Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, to appear
  2. Chaoyu Zhao, Jianjun Qian, Shumin Zhu, Jin Xie, Jian Yang, Learning Robust Facial Representation From the View of Diversity and Closeness, International Journal of Computer Vision, to appear
  3. Shuo Chen, Chen Gong, Xiang Li, Jian Yang, Gang Niu, Masashi Sugiyama, Boundary-restricted metric learning, Machine Learning, 2023.
  4. Shenjian Gong, Shanshan Zhang, Jian Yang, Adaptive Teaching for Cross-Domain Crowd Counting, IEEE Transactions on Multimedia, to appear
  5. Haobo Jiang, Le Hui, Guangyu Li, Jin Xie, Shangbing Gao, Jian Yang, Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking, IEEE Transactions on Neural Networks and Learning Systems, to appear
  6. Hang Shao, Lei Luo, Jianjun Qian, Shuo Chen, Jian Yang, TransPhys: Spatiotemporal Masked Transformer Steered Remote Photoplethysmography Estimation, IEEE Transactions on Circuits and Systems for Video Technology, to appear
  7. Hengmin Zhang, Bob Zhang, Chen Gong, Jianjun Qian, Jian Yang, Unified Framework for Faster Clustering via Joint Schatten p-norm Factorization with Optimal Mean, IEEE Transactions on Neural Networks and Learning Systems, minor revision
  8. Shuo Chen, Gang Niu, Chen Gong, Xiang Li, Jian Yang, Masashi Sugiyama, Boundary-Restricted Metric Learning, Machine Learning, to appear
  9. Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Jian Yang and Joost van de Weijer, MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains, International Journal of Computer Vision, to appear
  10. Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong, Boosting Graph Contrastive Learning via Adaptive Sampling, IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2023.3291358.
  11. Zhuo Huang, Jian Yang, Chen Gong, They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning, IEEE Transactions on Multimedia, 2023, 25: 1844-1857
  12. Shuo Gu, Jiacheng Lu, Jian Yang, Cheng-Zhong Xu, Hui Kong, Dense Top-View Semantic Completion with Sparse Guidance and Online Distillation, IEEE Transactions on Intelligent Vehicles, to appear
  13. Xiaoya Zhang, Shumin Zhang, Zhen Cui, Zechao Li, Jin Xie, Jian Yang, Tube-embedded Transformer for Pixel Prediction, IEEE Transactions on Multimedia, 2023, Vol.5, 2503-2514.
  14. Guoan Xu, Juncheng Li, Guangwei Gao, Huimin Lu, Jian Yang, Dong Yue, Lightweight Real-Time Semantic Segmentation Network With Efficient Transformer and CNN, IEEE Transactions on Intelligent Transportation Systems, to appear
  15. Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao, Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution, IEEE Transactions on Neural Networks and Learning Systems, to appear
  16. Sheng Wan, Yibing Zhan, Shuo Chen, Jian Yang, Dacheng Tao, Chen Gong, Boosting Graph Contrastive Learning via Adaptive Sampling, IEEE Transactions on Neural Networks and Learning Systems, to appear
  17. Yimian Dai, Xiang Li, Fei Zhou, Yulei Qian, Yaohong Chen, Jian Yang. One-Stage Cascade Refinement Networks for Infrared Small Target Detection, IEEE Transactions on Geoscience and Remote Sensing, 2023, DOI: 10.1109/TGRS.2023.3243062.
  18. Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu, Jian Yang, Xuelong Li, Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss, IEEE Transactions on Image Processing, to appear
  19. Guangwei Gao, Lei Tang, Fei Wu, Huimin Lu, Jian Yang, JDSR-GAN: Constructing An Efficient Joint Learning Network for Masked Face Super-Resolution, IEEE Transactions on Multimedia, 2023, 25, 1505-1512.
  20. Jianjun Qian, Shumin Zhu, Calvin Wong*, OTFace: Hard Samples Guided Optimal Transport Loss for Deep Face Representation, IEEE Transactions on Multimedia, 2023, 25, 1427-1438
  21. Wentao Yu, Chen Gong, Jian Yang, Hyperspectral Image Classification With Contrastive Graph Convolutional Network, IEEE Transactions on Geoscience and Remote Sensing, to appear
  22. Mengkai Yan, Jianjun Qian, Renke Wang, Shangbing Gao, Jian Yang, Dynamic Group Difference Coding based on Thermal Infrared Face Image for Fever Screening, IEEE Transactions on Instrumentation and Measurement, to appear
  23. Chuanwei Zhou, Zhen Cui, Chunyan Xu, Jian Yang, Quality-aware Pattern Diffusion for Video Object Segmentation, Neurocomputing, to appear
  24. Hengmin Zhang, Junbin Gao, Jianjun Qian, Jian Yang, Chunyan Xu, Bob Zhang, Linear Regression Problem Relaxations Solved by Nonconvex ADMM with Convergence Analysis, IEEE Transactions on Circuits and Systems for Video Technology, to appear
  25. Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Guangyu Li, Jun Li, Jian Yang, Learning Complementary Correlations for Depth Super-Resolution with Incomplete Data in Real World, IEEE Transactions on Neural Networks and Learning Systems, to appear
  26. Haobo Jiang, Guangyu Li, Jin Xie, Jian Yang, Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action Tasks, IEEE Transactions on Neural Networks and Learning Systems, to appear
  27. Jiaxin Chen, Jun Li, Jian Yang, CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection, IEEE Transactions on Intelligent Transportation Systems, to appear
  28. Xuran Xu, Tong Zhang, Chunyan Xu, Zhen Cui, Jian Yang, Spatial-Temporal Tensor Graph Convolutional Network for Traffic Speed Prediction, IEEE Transactions on Intelligent Transportation Systems, to appear
  29. Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yi Zhang, Feature Aggregation and Propagation Network for Camouflaged Object Detection, IEEE Transactions on Image Processing, to appear 
  30. Kangkan Wang, Guofeng Zhang, Sida Peng, Jian Yang, Xiaowei Zhou, NerfCap: Human Performance Capture with Dynamic Neural Radiance Fields, IEEE Transactions on Visualization and Computer Graphics, to appear
  31. Guangwei Gao, Yi Yu, Huimin Lu, Jian Yang, Dong Yue, Context-Patch Representation Learning with Adaptive Neighbor Embedding For Robust Face Image Super-Resolution, IEEE Transactions on Multimedia, 2023, 25: 1879-1889.
  32. Kai Zhao, Zhenyong Fu, Jian Yang, Continual Learning via Region-Aware Memory, Applied Intelligence, to appear
  33. Hengmin Zhang, Feng Qian, Peng Shi, Wenli Du, Yang Tang, Jianjun Qian, Chen Gong, Jian Yang, Generalized Nonconvex Nonsmooth Low-rank Matrix Recovery Framework with Feasible Algorithm Designs and Convergence Analysis, IEEE Transactions on Neural Networks and Learning Systems, to appear
  34. Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane J. You, Dacheng Tao, Masashi Sugiyama, Class-Wise Denoising for Robust Learning under Label Noise, IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear
  35. Zhuo Huang, Jian Yang, Chen Gong, They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning, IEEE Transactions on Multimedia, to appear
  36. Hengmin Zhang, Feng Qian, Bob Zhang, Wenli Du, Jianjun Qian, Jian Yang, Incorporating Linear Regression Problems Into An Adaptive Framework with Feasible Optimizations, IEEE Transactions on Multimedia, to appear
  37. Xiaobo Chen, Huanjia Zhang, Feng Zhao, Chenkai Tan, Yu Hu, and Jian Yang, Intention-aware Vehicle Trajectory Prediction based on Spatial-temporal Dynamic Attention Network for Internet of Vehicles, IEEE Trans. on Intelligent Transportation Systems, to appear
  38. Chao Huang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, David Zhang, Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection, IEEE Transactions on Neural Networks and Learning Systems, to appear
  39. Guangwei Gao, Guoan Xu, Juncheng Li, Yi Yu, Huimin Lu, Jian Yang, FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation, IEEE Transactions on Multimedia, to appear
  40. Zhen Cui, Ling Zhou, Chaoqun Wang, Chunyan Xu, Jian Yang, Visual Micro-Pattern Propagation, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2022.3147974.
  41. Jinshan Pan, Deqing Sun, Jiawei Zhang, Jinhui Tang, Jian Yang, Yu-Wing Tai, Ming-Hsuan Yang, Dual Convolutional Neural Networks for Low-Level Vision, International Journal of Computer Vision, to appear
  42. Hong Deng, Yang Liu, Beibei Wang*, Jian Yang, Lei Ma, Nicolas Holzschuch, Ling-Qi Yan, Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition, ACM Transactions on Graphics, to appear
  43. Chao Huang, Zehua Yang, Jie Wen, Yong Xu, Qiuping Jiang, Jian Yang, Yaowei Wang, Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection, IEEE Transactions on Cybernetics, to appear
  44. Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge Belongie, Fine-Grained Image Analysis with Deep Learning: A Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear
  45. Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu, Yong Xu, Jian Yang, Ling Shao, DONet: Dual-Octave Network for Fast MR Image Reconstruction, IEEE Trans. Neural Networks and Learning Systems, to appear
  46. Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang, Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning, IEEE Transactions on Cybernetics, to appear
  47. Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang, Cost-Effective Incremental Deep Model: Matching Model Capacity with the Least Sampling, IEEE Transactions on Knowledge and Data Engineering, to appear
  48. Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang, Learning Adaptive Embedding Considering Incremental Class, IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2021.3109131.
  49. Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiao-Ru Gao, Hui Xiong, Jian Yang, Corporate Relative Valuation using Heterogeneous Multi-Modal Graph Neural Network, IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE. 2021.3080293
  50. Xiang Li, Chengqi Lv, Wenhai Wang, Gang Li, Lingfeng Yang, Jian Yang, Generalized Focal Loss: Towards Efficient Representation Learning for Dense Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(3), 3139-3153. DOI: 10.1109/TPAMI.2022.3180392.
  51. Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang, Graph Jigsaw Learning for Cartoon Face Recognition, IEEE Transactions on Image Processing, 2022, Vol.31, 3961 – 3972.
  52. Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong, Multi-Level Graph Learning Network for Hyperspectral Image Classification, Pattern Recognition, 2022, Vol. 129, 108705.
  53. Yang Yang, Hongchen Wei, Zhen-Qiang Sun, Guang-Yu Li, Yuanchun Zhou, Hui Xiong, Jian Yang, S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification, ACM Transactions on Knowledge Discovery from Data, 2022, 16(2), 1-27.
  54. Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang and Chen Gong, Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2022, Vol.60, 1-14.
  55. Shuai Wu, Yong Xu. Bob Zhang, Jian Yang, David Zhang, Deformable Template Network (DTN) for Object Detection, IEEE Transactions on Multimedia, 2022, 24, 2058-2068.
  56. Chen Gong, Qizhou Wang, Tongliang Liu, Jane You*, Jian Yang*, Dacheng Tao, Instance-Dependent Positive and Unlabeled Learning with Labeling Bias Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(8), 4163-4177. DOI:10.1109/TPAMI.2021. 3061456. 
  57. Jingchen Ke, Chen Gong, Tongliang Liu, Lin Zhao, Jian Yang, Dacheng Tao, Laplacian Welsch Regularization for Robust Semi-Supervised Learning, IEEE Transactions on Cybernetics, 2022, 52(1), 164-177.
  58. Chen Gong, Jian Yang*, Jane You*, Masashi Sugiyama, Centroid Estimation with Guaranteed Efficiency: A General Framework for Weakly Supervised Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(6), 2841-2855. DOI:10.1109/TPAMI.2020.3044997. 
  59. Guangwei Gao, Yi Yu, Jian Yang, Meng Yang, Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(5), 2550-2560.

 

  1. Wei Zheng, Shuo Chen, Zhenyong Fu*, Fa Zhu, Hui Yan, Jian Yang*, Feature Selection Boosted by Unselected Features, IEEE Trans. Neural Networks and Learning Systems, 2022, 33(9), 4562-4574.
  2. Jiahui Fan#, Beibei Wang#, Melos Hassan, Jian Yang* and Ling-Qi Yan, Efficient Specular Glints Rendering with Differentiable Regularization, IEEE Transactions on Visualization and Computer Graphics, 2022, 130, 1440–1458.
  3. Zongyan Han, Zhenyong Fu*, Shuo Chen, Jian Yang, Semantic Contrastive Embedding for Generalized Zero-Shot Learning, International Journal of Computer Vision, 2022, Vol. 130, 2606–2622.
  4. Xi Cheng, Jun Li, Qiang Dai, Zhenyong Fu, Jian Yang, Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution, IEEE Transactions on Instrumentation and Measurement, 2022, 71, 1-11.
  5. Le Hui, Mingmei Cheng, Jin Xie*, Mingming Cheng, Jian Yang*, Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition, IEEE Transactions on Image Processing, 2022, Vol.31, 1258-1270.
  6. Yigong Zhang, Jin Xie, Jose M. Alvarez, Cheng-Zhong Xu, Jian Yang*, Hui Kong, Capitalizing on RGB-FIR Hybrid Imaging for Road Detection, IEEE Trans. on Intelligent Transportation Systems, 2022, 23(8),13819-13834.
  7. Yesong Xu, Shuo Chen, Jun Li*, Zongyan Han, Jian Yang*, Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering, IEEE Transactions on Cybernetics, 2022, 52(5), 5408–5418.
  8. Chuanwei Zhou, Chunyan Xu*, Zhen Cui, Tong Zhang, Jian Yang*, Self-Teaching Video Object Segmentation, IEEE Trans. Neural Networks and Learning Systems, 2022, 33(4),1623-1637.
  9. Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong, Homography-Based Minimal-Case Relative Pose Estimation with Known Gravity Direction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(1), 196-210.
  10. Hengmin Zhang, Feng Qian*, Fanhua Shang, Wenli Du, Jianjun Qian, Jian Yang, Global Convergence Guarantees of (A)GIST for a Family of Noncovex Sparse Learning Problems, IEEE Transactions on Cybernetics, 2022, 52(5), 3276 – 3288.
  11. Jianjun Qian, Calvin Wong*, Hengmin Zhang, Jin Xie, Jian Yang*, Joint Optimal Transport with Convex Regularization for Robust Image Classification, IEEE Transactions on Cybernetics, 2022, 52(3), 1553-1564.
  12. Hao Wang, Qilong Wang, Hongzhi Zhang, Jian Yang, Wangmeng Zuo, Constrained Online Cut-Paste for Object Detection, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(10), 4071-4083.
  13. Yesong Xu, Shuo Chen, Jun Li*, Jian Yang*, Learnable Low-Rank Latent Dictionary for Subspace Clustering, Pattern Recognition, 2021, Vol. 120, 108142.
  14. Xi Cheng, Zhenyong Fu*, Jian Yang*, Improved Multi-scale Dynamic Feature Encoding Network for Image Demoireing, Pattern Recognition, 2021, 116, 107970.
  15. Hanyu Xuan, Zhenyu Zhang, Shuo Chen, Jian Yang, Yan Yan, Discriminative Cross-Modality Attention Network for Temporal Inconsistent Audio-Visual Event Localization, IEEE Transactions on Image Processing, 2021, 30(9), 7878-7888.
  16. Di Chen, Shanshan Zhang, Jian Yang*, Bernt Schiele, Norm-Aware Embedding for Efficient Person Search and Tracking, International Journal of Computer Vision, 2021,129(11): 3154-3168.
  17. Shuo Chen, Jian Yang*, Yang Wei, Lei Luo, Chen Gong, Delta-norm based Robust Regression with Applications to Image Analysis, IEEE Transactions on Cybernetics, 2021, 51(6), 3371-3383.
  18. Kangkan Wang, Guofeng Zhang, Huayu Zheng, Jian Yang, Learning Dense Correspondences for Non-Rigid Point Clouds With Two-Stage Regression, IEEE Transactions on Image Processing, 2021, 30: 8468-8482.
  19. Hui Lv, Chuanwei Zhou, Chunyan Xu, Zhen Cui*, Jian Yang, Localizing anomalies from weakly-labeled videos, IEEE Transactions Image Processing, 2021, 30: 4505-4515.
  20. Lin Zhao, Nannan Wang, Chen Gong, Jian Yang, and Xinbo Gao, Estimating Human Pose Efficiently by Parallel Pyramid Networks, IEEE Transactions on Image Processing, 2021, 30(7), 6785-6800.
  21. Chunyan Xu, Tong Zhang, Zhen Cui, Jian Yang, Dual-Stream Structured Graph Convolution Network for Skeleton-based Action Recognition, ACM Transactions on Multimedia Computing Communications and Applications, 2021, 17(4), 1-22.
  22. Weiheng Lin, Beibei Wang, Jian Yang, Lu Wang, Ling-Qi Yan, Path-based Monte Carlo Denoising Using a Three-Scale Neural Network. Computer Graphics Forum, 2021, 40(1): 369-381.
  23. Chunyan Xu, Li Wei, Zhen Cui, Tong Zhang, Jian Yang, Meta-VOS: Learning to Adapt Online Target-Specific Segmentation, IEEE Transactions on Image Processing, 2021, 30: 4760-4772.
  24. Jianjun Qian, Shumin Zhu, Wai Keung Wong, Hengmin Zhang, Zhihui Lai, Jian Yang, Dual Robust Regression for Pattern Classification, Information Sciences, 2021, 546: 1014-1029.
  25. Xiuhua Chen, Chen Gong, Jian Yang, Cost-sensitive positive and unlabeled learning. Information Sciences, 2021, 558: 229-245.
  26. Shanshan Zhang, Di Chen, Jian Yang*, Bernt Schiele. Guided Attention in CNNs for Occluded Pedestrian Detection and Re-identification. International Journal of Computer Vision, 2021,129(6), 1875–1892.
  27. Hui Lv, Chao Liu, Xiaowei Zhao, Chunyan Xu, Zhen Cui, Jian Yang, Lane Marking Regression from Confidence Area Detection to Field Inference, IEEE Transactions on Intelligent Vehicles, 2021, 6(1), 47-56.
  28. Guangwei Gao, Yi Yu, Jin Xie, Jian Yang, Meng Yang, Jian Zhang, Constructing Multilayer Locality-Constrained Matrix Regression Framework for Noise Robust Face Super-Resolution, Pattern Recognition, 2021,Vol.110.
  29. Tao Wang, Zexuan Ji, Jian Yang, Quansen Sun, Xiaobo Shen, Zhenwen Ren, Qi Ge, Label group diffusion for image and image pair segmentation, Pattern Recognition, 2021, Vol.112.
  30. Lin Zhao, Jie Xu, Chen Gong, Jian Yang, Wangmeng Zuo, Xinbo Gao, Learning to acquire the quality of human pose estimation, IEEE Transactions on Circuits and Systems for Video Technology, 2021, 31(4): 1555-1568.
  31. Tao Wang, Shengzhe Qi, Jian Yang, Zexuan Ji, Quansen Sun, Qi Ge, Interactive Image Segmentation based on Label Pair Diffusion, IEEE Transactions on Industrial Informatics, 2021, 17(1), 135-146.
  32. Sheng Wan, Chen Gong, Guangyu Li, Jian Yang, Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network, IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(1): 597-612.
  33. Xiangbo Shu, Jinhui Tang, Guojun Qi, Wei Liu, Jian Yang, Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43(3), 1110-1118.
  34. Chen Gong, Hong Shi, Tongliang Liu, Chuang Zhang, Jian Yang, Dacheng Tao, Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43(3), 918-932.
  35. Yunan Liu, Shanshan Zhang, Jie Xu, Jian Yang, Yu-Wing Tai, An Accurate and Lightweight Method for Human Body Image Super-Resolution, IEEE Trans. Image Processing, 2021, 30(2): 2888-2897.
  36. Yunan Liu, Shanshan Zhang, Jian Yang, Color image watermark decoder by modeling quaternion polar harmonic transform with BKF distribution. Signal Processing and Image Communication, 88: 115946 (2020).
  37. Jiatao Jiang#, Chunyan Xu# Zhen Cui, Wenming Zheng, Jian Yang, Walk-Steered Convolution for Graph Classification, IEEE Trans. Neural Networks and Learning Systems, 2020, 31(11), 4553-4566.
  38. Tong Zhang, Wenming Zheng, Zhen Cui, Yuan Zong, Chaolong Li, Xiaoyan Zhou, Jian Yang, Deep Manifold-to-Manifold Transforming Network for Skeleton-based Action Recognition, IEEE Transactions on Multimedia, 2020, 22(11), 2926-2937.
  39. Lin Zhao, Jie Xu, Shanshan Zhang, Chen Gong, Jian Yang, Xinbo Gao, Perceiving heavily occluded human poses by assigning unbiased score, Information Sciences, 2020, 537: 284-301.
  40. Zechao Li, Jinhui Tang, Liyan Zhang, Jian Yang, Weakly-supervised Semantic Guided Hashing for Social Image Retrieval, International Journal of Computer Vision, 2020, 128(8): 2265-2278.
  41. Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang, Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification, IEEE Trans. Geoscience and Remote Sensing, 2020, 58(5): 3162-3177.
  42. Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao, Harnessing Side Information for Classification under Label Noise, IEEE Trans. Neural Networks and Learning Systems, 2020, 31(9), 3178-3192.
  43. Chen Gong, Jie Yang, Jian Yang, Multi-Manifold Positive and Unlabeled Learning for Visual Analysis, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(5): 1396-1409.
  44. Na Han, Jigang Wu, Xiaozhao Fang, Wai Keung Wong, Yong Xu, Jian Yang, Xuelong Li, Double Relaxed Regression for Image Classification, IEEE Transactions on Circuits and Systems for Video Technology, 2020, 30(2): 307-319.
  45. Chunyan Xu, Chengzheng Li, Zhen Cui, Tong Zhang, Jian Yang. Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2020, 58(6), 4353-4364.
  46. Jianjun Qian, Jian Yang, Yong Xu, Jin Xie, Zhihui Lai, Bob Zhang, Image Decomposition based Matrix Regression with Applications to Robust Face Recognition, Pattern Recognition, 2020, Vol. 102.
  47. Jie Xu, Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang, Multi-Task Learning for Object Keypoints Detection and Classification, Pattern Recognition Letters, 2020, vol. 130, 182-188.
  48. Di Chen, Shanshan Zhang, Wanli Ouyang, Jian Yang*, Ying Tai, Person Search by Separated Modeling and A Mask-Guided Two-Stream CNN Model, IEEE Trans. Image Processing, 2020, 29(2): 4669-4682.
  49. Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei, Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization with Convergence Guarantees, IEEE Trans. Image Processing, 2020, 29: 3132-3142.
  50. Zhenyu Zhang, Zhen Cui, Chunyan Xu, Zequn Jie, Xiang Li, Jian Yang, Joint Task-Recursive Learning for RGB-D Scene Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(10),2608-2623.
  51. Yu Chen, Chunhua Shen, Xiu-Shen Wei, Lingqiao Liu, Jian Yang, Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(7), 1654-1669.
  52. Xiang Li, Jun Li, Xiaolin Hu, and Jian Yang, Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit, IEEE Trans. on Intelligent Transportation Systems, 2020, 21(1), 248-258.
  53. Yao Tang, Lin Zhao, Shanshan Zhang, Chen Gong, Guangyu Li, Jian Yang, Integrating prediction and reconstruction for anomaly detection, Pattern Recognition Letters, 2020, Vol. 129, 123-130.
  54. Lei Zhang, Shanshan Wang, Guangbin Huang, Wangmeng Zuo, Jian Yang, David Zhang, Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation, IEEE Trans. Neural Networks and Learning Systems,2019, 30(12), 3759-3773
  55. Chen Gong, Jian Yang, Dacheng Tao, Multi-modal Curriculum Learning over Graphs,  ACM Transactions on Intelligent Systems and Technology, 2019, 10(4), 1-25.
  56. Chen Gong, Tongliang Liu, Jian Yang, Dacheng Tao, Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning, IEEE Trans. Neural Networks and Learning Systems, 2019, 30(11), 3471-3483.
  57. Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, Jose Alvarez, Hui Kong, Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model, IEEE Transactions on Vehicular Technology, 2019, 68(12), 11635-11645.
  58. Hengmin Zhang, Chen Gong, Jianjun Qian, Bob Zhang, Chunyan Xu, Jian Yang, Efficient Recovery of Low Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization, IEEE Trans. Neural Networks and Learning Systems, 2019, 30(10), 2916-2925.
  59. Hengmin Zhang, Jianjun Qian, Junbin Gao, Jian Yang, Chunyan Xu, Scalable Proximal Jacobian Iteration Method with Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations, IEEE Trans. Neural Networks and Learning Systems, 2019, 30(9), 2825-2839.
  60. Lei Luo, Jian Yang, Yigong Zhang, Yong Xu, Nesting-structured Nuclear Norm Minimization for Spatially Correlated Matrix Variate, Pattern Recognition, 2019,Volume 91, pp. 147-161.
  61. Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang, LRR for Subspace Segmentation via Tractable Schatten-p Norm Minimization and Factorization, IEEE Transactions on Cybernetics, 2019, 49(5), 1722-1734.
  62. Bike Chen, Chen Gong, Jian Yang, Importance-Aware Semantic Segmentation for Autonomous Vehicles, IEEE Trans. on Intelligent Transportation Systems, 2019, 20(1), 137-148.
  63. Shuo Gu, Yigong Zhang, Xia Yuan, Jian Yang, Tao Wu, and Hui Kong, Histograms of the Normalized Inverse Depth and Line Scanning for Urban Road Detection, IEEE Transactions on Intelligent Transportation Systems, 2019, 20(8), 3070-3080.
  64. Tao Wang, Jian Yang, Zexuan Ji, and Quansen Sun, Probabilistic Diffusion for Interactive Image Segmentation, IEEE Trans. Image Processing, 2019, 28(1), 330-342.
  65. Niange Yu, Jianwei Zhang, Xiaolin Hu, Jian Yang, Jianwei Zhang, Topic-Oriented Image Captioning Based on Order-Embedding, IEEE Trans. Image Processing, 2019, 28(6), 2743-2754.
  66. Xiaolin Luo, Yong Xu, Jian Yang, Multi-resolution Dictionary Learning for Face Recognition, Pattern Recognition, 2019, 93(9), 283-292.
  67. Yingna Su, Yicheng Gao, Yigong Zhang, Jose Alvarez, Jian Yang, Hui Kong, An illumination-invariant nonparametric model for urban road detection, IEEE Transactions on Intelligent Vehicles, 2019, 4(1), 14-23.
  68. Qing Liu, Davoine Franck, Jian Yang, Ying Cui, Zhong Jin, Fei Han, A Fast and Accurate Matrix Completion Method based on QR Decomposition and L(2,1) Norm Minimization, IEEE Trans. Neural Networks and Learning Systems, 2019, 30(3), 803-817.
  69. Xiaozhao Fang, Na Han, Yong Xu, Jian Yang, David Zhang, Xuelong Li, Approximate Low-Rank Projection Learning for Feature Extraction, IEEE Trans. Neural Networks and Learning Systems, 2019, 29(11), 5228-5241.
  70. Zhen Cui, Youyi Cai, Wenming Zheng, Chunyan Xu, Jian Yang, Spectral filter tracking, IEEE Trans. Image Processing, 2019, 28(5), 2479-2489.
  71. Chen Gong, Dacheng Tao, Xiaojun Chang, and Jian Yang, Ensemble Teaching For Hybrid Label Propagation, IEEE Transactions on Cybernetics, 2019, 49(2), 388-402.
  72. Kaihua Zhang, Jiaqing Fan, Qingshan Liu, Jian Yang, Wei Lian, Parallel Attentive Correlation Tracking, IEEE Trans. Image Processing, 2019, 28(1), 479-491.
  73. Lei Luo, Jian Yang, Bob Zhang, Jielin Zhang, Heng Huang, Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification, IEEE Trans. Neural Networks and Learning Systems, 2018, 29(11), 5330-5344.
  74. Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao, On Selecting Effective Patterns for Fast Support Vector Regression Training, IEEE Trans. Neural Networks and Learning Systems, 2018, 29(8), 3610-3622.
  75. Zhenyu Zhang, Chunyan Xu, Jian Yang, Ying Tai, Liang Chen, Deep Hierarchical Guidance and Regularization Learning for End-to-end Depth Estimation, Pattern Recognition, 2018, 83, 430-442.
  76. Zhenyu Zhang, Chunyan Xu, Jian Yang, Junbin Gao, Zhen Cui, Progressive Hard-mining Network for Monocular Depth Estimation, IEEE Trans. Image Processing, 2018, 27(8), 3691-3702.
  77. Yigong Zhang, Yingna Su, Jian Yang, Jean Ponce and Hui Kong, When Dijkstra meets vanishing point: a stereo vision approach for road detection, IEEE Trans. Image Processing, 2018, 27(5), 2176–2188.
  78. Jinhui Tang, Jie Lin, Zechao Li, Jian Yang, Discriminative Deep Quantization Hashing for Face Image Retrieval, IEEE Trans. Neural Networks and Learning Systems, 2018, 28 (5)，2479-2489.
  79. Yingna Su, Yigong Zhang, Tao Lu, Jian Yang, Hui Kong, Vanishing Point Constrained Lane Detection With a Stereo Camera, IEEE Transactions on Intelligent Transportation Systems, 2018, 19(8), 2739-2744.
  80. Shuo Gu, Tao Lu, Yigong Zhang; Jose Alvarez, Jian Yang, Hui Kong, 3D LiDAR + Monocular Camera: an Inverse-Depth Induced Fusion Framework for Urban Road Detection, IEEE Transactions on Intelligent Vehicles, 2018, 3(3), 351-360.
  81. Zheng Zhang, Yong Xu, Ling Shao, Jian Yang, Discriminative Block-Diagonal Representation Learning for Image Recognition, IEEE Trans. Neural Networks and Learning Systems, 2018, 29(7), 3111-3125.
  82. Zheng Zhang, Yong Xu, Ling Shao, Jian Yang, Marginal Representation Learning With Graph Structure Self-Adaptation, IEEE Trans. Neural Networks and Learning Systems, 2018, 29(10), 4645-4659.
  83. Wei Luo, Jun Li, Jian Yang, and Wei Xu, Convolutional Sparse Autoencoders for Image Classification, IEEE Trans. Neural Networks and Learning Systems, 2018, 29(7), 3289-3294.
  84. Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Dacheng Tao, Jie Yang, A Regularization Approach for Instance-based Superset Label Learning, IEEE Transactions on Cybernetics, 2018, 48(3), 967-978.
  85. Tao Wang, Jian Yang, Quansen Sun, Zexuan Ji, Peng Fu, Qi Ge, Global graph diffusion for interactive object extraction, Information Sciences, 2018, Vol. 460–461, Pages 103-114.
  86. Guojun Lin, Meng Yang, Jian Yang, Linlin Shen, Weicheng Xie, Robust, Discriminative and Comprehensive Dictionary Learning for Face Recognition, Pattern Recognition, 2018, Vol. 81, 341-356.
  87. Jie Wen, Bob Zhang, Yong Xu Jian Yang, Na Han, Adaptive weighted nonnegative low-rank representation, Pattern Recognition, 2018, Vol. 81, 326-340.
  88. Kaihua Zhang, Qingshan Liu, Jian Yang, Ming-Hsuan Yang, Visual Tracking via Boolean Map Representations, Pattern Recognition, 2018, Vol. 81, 147-160.
  89. Qiaolin Ye, Jian Yang, Fan Liu, Chunxia Zhao, Ning Ye, Tongming Yin, L1-norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm, IEEE Transactions on Circuits and Systems for Video Technology, 2018,28(1): 114-129.
  90. Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang, Action-Attending Graphic Neural Network, IEEE Trans. Image Processing, 2018, 27(7), Pages: 3657-3670.
  91. Jun Li, Heyou Chang, Jian Yang, Wei Luo, Yun Fu, Visual Representation and Classification by Learning Group Sparse Deep Stacking Network, IEEE Trans. Image Processing, 2018, 27(1), Pages: 464-476.
  92. Cunlai Pu, Wei Cui, Jiexin Wu, Jian Yang, Bufferless Transmission in Complex Networks, IEEE Transactions on Circuits and Systems II: Express Briefs, 2018, 65(7), 893-897.
  93. Bo Huang, MengChu Zhou, PeiYun Zhang, Jian Yang, Speedup Techniques for Multiobjective Integer Programs in Designing Optimal and Structurally Simple Supervisors of AMS, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018,48(1),77-88.
  94. Lei Xu, Arumugam Nallanathan, Jian Yang, Wenhe Liao, Power and Bandwidth Allocation for Cognitive Heterogeneous Multi-Homing Networks, IEEE Transactions on Communications, 2018, 66(1): 394-403.
  95. Lei Zhang, Jian Yang, and David Zhang, Domain Class Consistency based Transfer Learning for Image Classification Across Domains, Information Sciences, 2017, 418–419 (12), Pages 242-257
  96. Hui Kong, Jian Yang, and Zhihua Chen, Accurate and Efficient Inspection of Speckle and Scratch Defects on Surfaces of Planar Products, IEEE Transactions on Industrial Informatics, 2017, 13(4), Pages: 1855-1865.
  97. Guangwei Gao, Jian Yang, Xiao-Yuan Jing, Fumin Shen, Wankou Yang, Dong Yue, Learning Robust and Discriminative Low-rank Representations for Face Recognition with Occlusion, Pattern Recognition, 66(6) 2017, Pages 129-143
  98. Yong Xu, Zuofeng Zhong, Jian Yang, Jia You, David Zhang, A New Discriminative Sparse Representation Method for Robust Face Recognition via L2 Regularization, IEEE Trans. Neural Networks and Learning Systems, 2017,28 (10), 2233-2242.
  99. Zhihui Lai, Yong Xu, Jian Yang, Linlin Shen, David Zhang, Rotational invariant dimensionality reduction algorithms, IEEE Trans. Cybernetics, 2017, 47(11), 3733 - 3746
  100. Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu, Convolutional neural networks with two pathways for image style recognition, IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4102-4113, 2017.
  101. Cairong Zhao, X Wang, WK Wong, W Zheng, Jian Yang, D Miao, Multiple metric learning based on bar-shape descriptor for person re-identification, Pattern Recognition, 71, 218-234, 2017
  102. Zhengming Li, Zhihui Lai, Yong Xu, Jian Yang, David Zhang, A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification, IEEE Trans. Neural Networks and Learning Systems, 2017, 28(2), 278 - 293
  103. Shuo Chen, Jian Yang, Lei Luo, Yang Wei, Kaihua Zhang, Ying Tai, Low-Rank Latent Pattern Approximation with Applications to Robust Image Classification, IEEE Trans. Image Processing, 2017, 26(11): 5519-5530.
  104. Hengmin Zhang, Jian Yang, Jianchun Xie, Jianjun Qian, Bob Zhang, Weighted Sparse Coding Regularized Nonconvex Matrix Regression for Robust Face Recognition, Information Sciences, 2017, Vol. 394–395(7), Pages 1-17.
  105. Jun Li, Tong Zhang, Wei Luo, Jian Yang, Xiaotong Yuan, Jian Zhang, Sparseness Analysis in the Pretraining of Deep Neural Networks, IEEE Trans. Neural Networks and Learning Systems, 2017, 28 (6), Pages: 1425-1438.
  106. Lei Luo, Jian Yang, Jianjun Qian, and Ying Tai, Gui-Fu Lu, Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise, IEEE Trans. Neural Networks and Learning Systems, 2017, 28 (9), 2168-2182.
  107. Jianchun Xie, Jian Yang, Jianjun Qian, Ying Tai, and Hengmin Zhang, Robust Nuclear Norm-based Matrix Regression with Applications to Robust Face Recognition, IEEE Trans. on Image Processing, 2017, 26(5), 2286-2295.
  108. Lingzheng Dai, Jian Yang, Liang Chen, Junxia Li, Category-specific Object Segmentation via Unsupervised Discriminant Shape, Pattern Recognition, 2017, 64: 202-214.
  109. Jian Yang #, Lei Luo #, Jianjun Qian #, Ying Tai, Fanlong Zhang, Yong Xu, Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(1): 156-171. [# co-first author]
  110. Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Extended Nearest Neighbor Chain Induced Instance-Weights for SVMs, Pattern Recognition, 2016, 60: 863-874.
  111. Lei Luo, Liang Chen, Jian Yang, Jianjun Qian, and Bob Zhang, Tree-Structured Nuclear Norm Approximation with Applications to Robust Face Recognition, IEEE Trans. on Image Processing, 2016, 25(12), 5757-5767.
  112. Yu Chen, Jian Yang, Lei Luo, Hengmin Zhang, Jianjun Qian, Ying Tai, Jian Zhang, Adaptive Noise Dictionary Construction via IRRPCA for Face Recognition, Pattern Recognition, 2016, 59: 26-41.
出版专著和教材

David Zhang, Xiaoyuan Jing, Jian Yang, Biometric Image Discrimination Technologies, Idea Group Publishing, Hershey, USA, 2006

杨健; 崔振; 许春燕等编著，人工智能：模式识别，2020年8月出版，电子工业出版社。

 

指导学生情况

博士研究生陈亮入选“2019福布斯中国30岁以下精英”

罗雷的博士论文“矩阵回归模型与方法及其在稳健图像分类中的应用”获2018年度中国人工智能学会优秀博士论文、江苏省优秀博士论文

邰颖的博士论文“基于表示学习及回归模型的稳健人脸识别方法研究”获2019年度中国图象图形学会优秀博士论文提名奖

陈宇的博士论文“基于深度学习的特征点定位算法研究” 获2020年度中国图象图形学会优秀博士论文

张恒敏的博士论文“非凸低秩矩阵恢复模型与算法研究” 获2020年度中国电子学会优秀博士论文、江苏省优秀博士论文

陈硕的博士论文“稳健回归与度量学习方法研究”获2021年度中国人工智能学会优秀博士论文提名奖、江苏省优秀博士论文；2022年度中国电子学会优秀博士论文

张振宇的博士论文“基于深度学习的单目场景深度估计方法研究”获2021年度中国计算机学会优秀博士论文提名

李翔的博士论文“基于深度学习的单目场景深度估计方法研究”获2022年度中国计算机学会优秀博士论文提名奖

我的团队

领衔的“视觉计算与环境感知”团队入选江苏省第十六批“六大人才高峰”创新人才团队、

“模式分析与智能感知”团队入选2019年度江苏省高校优秀科技创新团队。