荣誉称号

2011年度获批国家杰出青年科学基金项目资助;

2013年入选国家百千万人才工程，授予“有突出贡献的中青年专家”。

2014年入选度国家级特聘教授；

2016年入选IAPR Fellow；

2018年入选国家级领军人才。

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

担任/曾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

自动化学报、电子学报、模式识别与人工智能

1. 国家自然科学基金联合基金重点项目, 面向无人驾驶的3D环境稳健感知与精准预测方法研究（项目编号：U24A20330, 研究期限：2025-01-01 至 2028-12-31）,项目负责人

2. 国家自然科学基金国际(地区)合作与交流项目, 动态开放环境下智能无人系统的场景感知与理解（项目编号：62361166670, 研究期限：2024-01-01 至 2026-12-31）,项目负责人

3. 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

4. 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

5. 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

6. 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

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20余篇，在IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Image Processing, Pattern Recognition等国际权威期刊上发表论文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50000次，单篇论文最高被引用逾5000次。近五年的部分论文列表如下：

已接收

1. Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang, Fine-Grained Visual Text Prompting, IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear
2. Jian Jin, Zhenyong Fu, Jian Yang, UniCanvas: Affordance-Aware Unified Real Image Editing via Customized Text-to-image Generation, International Journal of Computer Vision, to appear
3. Tong Zhang, Guangbu Liu, Zhen Cui, Wei Liu, Wenming Zheng, Jian Yang, Wasserstein Discriminant Dictionary Learning for Graph Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear

2025年度

4. Jiahui Fan, Fujun Luan, Jian Yang, Milos Hasan, Beibei Wang, RNG: Relightable Neural Gaussians, CVPR 2025.
5. Zhiqiang Yan, Zhengxue Wang, Kun Wang, Jun Li, Jian Yang, Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion, CVPR 2025.
6. Zhengxue Wang, Zhiqiang Yan, Jinshan Pan, Guangwei Gao, Kai Zhang, Jian Yang, DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution, CVPR 2025.
7. Jian Jin, Zhenbo Yu, Yang Shen, Zhenyong Fu, Jian Yang, LaTexBlend: Scaling Multi-concept Customized Generation with Latent Textual Blending, CVPR 2025.
8. Hang Shao, Lei Luo, Jianjun Qian, Mengkai Yan, Shuo Chen, Jian Yang, Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios, CVPR 2025.
9. Lei Wang, Senmao Li, Fei Yang, Jianye Wang, Ziheng Zhang, Yuhan Liu, Yaxing Wang, Jian Yang, Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability, CVPR 2025.
10. Ziyue Zhu, Shenlong Wang, Jin Xie, Jiang-Jiang Liu, Jingdong Wang, Jian Yang,VoxelSplat: Dynamic Gaussian Splatting as an Effective Loss for Occupancy and Flow Prediction, CVPR 2025.
11. Xiangzheng Zhou, Xiaobo Chen, Jian Yang, Diff-Refiner: Enhancing Multi-Agent Trajectory Prediction with a Plug-and-Play Diffusion Refiner, 2025 IEEE International Conference on Robotics and Automation (ICRA 2025).
12. Yuan Wu, Zhiqiang, Zhengxue Wang, Xiang Li, Le Hui, Jian Yang, Deep Height Decoupling for Precise Vision-based 3D Occupancy Prediction, 2025 IEEE International Conference on Robotics and Automation (ICRA 2025).
13. Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang, Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis, AAAI 2025.
14. Xiantao Hu, Ying Tai, Xu Zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang, Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking, AAAI 2025.
15. Hongliang Zhang, Shuo Chen, Lei Luo, Jian Yang, Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction, AAAI 2025.
16. Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li, Jian Yang, Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video, AAAI 2025.
17. Dai Yuqin, Wanlu Zhu, Ronghui Li, Zeping Ren, Xiangzheng Zhou, Jixuan Ying, Jun Li, Jian Yang, Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion, AAAI 2025.
18. Xiaoqi An, Lin Zhao, Chen Gong, Jun Li, jian Yang, Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation, AAAI 2025.

2024年度

19. Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li, LSKNet: A Foundation Lightweight Backbone for Remote Sensing, International Journal of Computer Vision, 2024, https://doi.org/10.1007/s11263-024-02247-9.
20. 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, 2024, Vol. 132, pages 410–427.
21. Yunan Liu, Chunpeng Wang, Shanshan Zhang, Jie Gui, Jian Yang, From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(8), 5449-5462
22. Hanyu Xuan, Zhiliang Wu, Jian Yang, Yan Yan, Robust Audio-Visual Contrastive Learning for Proposal-based Self-supervised Sound Source Localization in Videos, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46(7), 4896-4907.
23. Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang, DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain, NeurIPS 2024
24. Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang, SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection, NeurIPS 2024
25. Jiawei Xu, Jin Xie, Zexin Fan, Jian Yang, Grid4D: 4D Decomposed Hash Encoding for High-fidelity Dynamic Scene Rendering, NeurIPS 2024
26. Haijie Yang, Zhenyu Zhang, Hao Tang, Jianjun Qian, Jian Yang, ConsistentAvatar: Learning to Diffuse Fully Consistent Talking Head Avatar with Temporal Guidance, ACM Multimedia 2024.
27. Di Luo, Hanxiao Sun, Lei Ma, Jian Yang, Beibei Wang, Correlation-aware Encoder-Decoder with Adapters for SVBRDF Acquisition, SIGGRAPH Asia 2024.
28. Jian Jin, Yang Shen, Zhenyong Fu, Jian Yang, Customized Generation Reimagined: Fidelity and Editability Harmonized, ECCV 2024.
29. Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang, Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem, ECCV 2024.
30. Zhiqiang Yan, Yuankai Lin, Kun Wang, Yupeng Zheng, yufei Wang, Zhenyu Zhang, Jun Li, Jian Yang, Tri-Perspective View Decomposition for Geometry-Aware Depth Completion, CVPR 2024. (Oral)
31. Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang, Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance, CVPR 2024.
32. Zheng Li, Xiang Li, Xinyi Fu, Xin Zhang, Weiqiang Wang, Shuo Chen, Jian Yang, PromptKD: Unsupervised Prompt Distillation for Vision-Language Models, CVPR 2024.
33. Zhengxue Wang, Zhiqiang Yan, Jian Yang, SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution, AAAI 2024.
34. Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang, AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization, AAAI 2024.
35. Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang, SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation, AAAI 2024.

2023年度

36. 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.
37. 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, 2023, 45(3), 2835-2848.
38. Zhen Cui, Ling Zhou, Chaoqun Wang, Chunyan Xu, Jian Yang, Visual Micro-Pattern Propagation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(1), 1267-1286. DOI: 10.1109/TPAMI.2022.3147974.
39. Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui, Jian Yang, Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(12), 15883- 15895.
40. Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li*, Jian Yang*, DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion, AAAI 2023.
41. Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian*, Jun Li*, Jian Yang, Recurrent Structure Attention Guidance for Depth Super-Resolution, AAAI 2023.
42. Jiayi Yuan, Haobo Jiang, Xiang Li, Jianjun Qian, Jun Li*, Jian Yang*, Structure Flow-Guided Network for Real Depth Super-Resolution, AAAI 2023.
43. Chuanwei Zhou, Zhen Cui, Chunyan Xu, Cao Han, Jian Yang, Exploratory Inference Learning for Scribble Supervised Semantic Segmentation, AAAI 2023.
44. Zheng Li, Xiang Li*, Lingfeng Yang, Borui Zhao, Renjie Song, Lei Luo, Jun Li, Jian Yang*, Curriculum Temperature for Knowledge Distillation, AAAI 2023.
45. Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Mathieu Salzmann, Jian Yang, Robust Outlier Rejection for 3D Registration with Variational Bayes, CVPR 2023
46. Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, Jian Yang, Curricular Object Manipulation in LiDAR-based Object Detection, CVPR 2023.
47. Jiahui Fan, Beibei Wang, Jian Yang, Neural Biplane Representation for BTF Rendering and Acquisition, SIGGRAPH 2023 (Conference).
48. 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).
49. Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li, Large Selective Kernel Network for Remote Sensing Object Detection, ICCV2023.
50. Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang, Creative Birds: Self-Supervised Single-View 3D Style Transfer, ICCV2023.
51. Le Hui, Linghua Tang, Jin Xie, Jian Yang, Yuchao Dai, Efficient LiDAR Point Cloud Oversegmentation Network, ICCV2023.
52. Haobo Jiang, Mathieu Salzmann, Zheng Dang, Shuo Gu, Jin Xie, Jian Yang, Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation, ICCV2023.
53. 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.
54. Lingfeng Yang, Yueze Wang, Xiang Li, Jian Yang, Fine-Grained Visual Prompting, NeurIPS 2023.

2022年度

55. 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.
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. 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. 
58. 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, 2022, 44(12), 8927-8948.
59. 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, 2022, 130, 1440-1458.
60. Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang, RecursiveMix: Mixed Learning with History, NeurIPS 2022.
61. Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama, Learning Contrastive Embedding in Low-Dimensional Space, NeurIPS 2022.
62. Le Hui, Linghua Tang, Yaqi Shen, Jin Xie, Jian Yang, Learning Superpoint Graph Cut for 3D Instance Segmentation, NeurIPS 2022.
63. 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)
64. 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)
65. 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)
66. 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)
67. Jiahui Fan, Beibei Wang, Milos Hasan, Jian Yang, Ling-Qi Yan, Neural Layered BRDFs, SIGGRAPH 2022 (Conference).
68. 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
69. 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).
70. 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).
71. 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.
72. Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Jürgen Gall, Bernt Schiele, Keypoint Message Passing for Video-based Person Re-Identification, AAAI 2022.

2021年度

73. 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.
74. 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.
75. 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.
76. 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.
77.  
78. Le Hui, Lingpeng Wang, Mingmei Cheng, Jin Xie*, Jian Yang*, 3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds, NeurIPS 2021.
79. Haobo Jiang, Yaqi Shen, Jun Li, Jianjun Qian, Jin Xie*, Jian Yang*, Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration, ICCV2021.
80. Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie*, Xiaoya Zhang, Jian Yang*, Superpoint Network for Point Cloud Oversegmentation, ICCV2021.
81. Le Hui, Hang Yang, Mingmei Cheng, Jin Xie*, Jian Yang*, Pyramid Point Cloud Transformer for Large-Scale Place Recognition, ICCV2021.
82. 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.
83. 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
84. 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
85. 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).
86. 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
87. 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).
88. 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).
89. 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.
90. Haobo Jiang, Jin Xie*, Jian Yang*, Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks, AAAI 2021.

2020年度

91. 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.
92. 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.
93. 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.
94. 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).
95. Xi Cheng, Zhenyong Fu*, Jian Yang*, Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning, ECCV 2020.
96. Le Hui, Jin Xie, Jian Yang*, Progressive Point Cloud Deconvolution Generation Network, ECCV 2020.
97. 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
98. 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
99. 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
100. 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.
101. 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)
102. 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
103. 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.
104. 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
105. 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

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。

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

惠乐的博士论文“基于点云特征学习的三维场景理解算法研究”获2024年度中国图象图形学会优秀博士论文提名奖

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。