张兆翔，博士，中国科学院自动化研究所智能感知与计算研究中心常务副主任，研究员、博士生导师，中国科学院大学岗位教授，中国科学院脑科学与智能技术卓越创新中心骨干，入选“教育部长江学者奖励计划”、“国家万人计划青年拔尖人才”和“教育部新世纪优秀人才支持计划”，曾获得北京市科学技术奖科技进步奖一等奖（排名第一）、中国人工智能学会吴文俊技术发明奖二等奖（排名第一）。张兆翔博士的研究兴趣包括：模式识别、计算机视觉与深度学习，具体研究方向包括：视觉认知计算、类脑学习和面向开放环境的视觉感知与理解，在本领域国际主流期刊与会议上发表论文200余篇，近五年来在IEEE T-PAMI、IJCV、JMLR、IEEE T-IP、IEEE T-NN等顶级期刊与CVPR、ICCV、ECCV、NIPS、AAAI、IJCAI等顶级会议发表论文100余篇，申请专利55项，已授权24项，承担了国家自然科学基金重点项目、重点国际(地区)合作研究项目、企业联合重点支持项目、国家重点研发项目课题、装备部重点项目、KJW重点项目、北京市新一代人工智能重点研发项目等多项国家级科研项目和企业合作项目。张兆翔博士是IEEE高级会员、VALSE常务AC、中国计算机学会杰出会员、中国人工智能学会杰出会员、中国人工智能学会副秘书长、中国人工智能学会理事、中国人工智能学会模式识别专委会秘书长、中国图象图形学学会会员发展与服务委员会副主任、中国科学院学部科技规范与伦理研究中心学术顾问委员会委员。张兆翔博士是或者曾经是IEEE T-CSVT、IEEE T-BIOM、Pattern Recognition、NeuroComputing 等知名期刊编委，担任CVPR、ICCV、AAAI、IJCAI、ACM MM、ICPR、ACCV等国际会议的领域主席（Area Chair）。

视觉认知计算、类脑学习和面向开放环境的视觉感知与理解

基于全脑神经观测的类脑神经网络计算建模与验证，国家自然科学基金国际（地区）合作交流项目
动态开放环境下的持续目标感知与学习，国家自然科学基金联合基金项目
类脑神经网络建模、学习与应用，国家自然科学基金重点项目

2023:
1. Wenjian Wang, Lijuan Duan, Yuxi Wang, Junsong Fan, Zhaoxiang Zhang*. MMT: Cross Domain Few-Shot Learning via Meta-Memory Transfer (IEEE TPAMI) [PDF]
2. Chunfeng Song, Wanli Ouyang, Zhaoxiang Zhang*. Weakly Supervised Semantic Segmentation via Box-driven Masking and Filling Rate Shifting (IEEE TPAMI) [PDF]
3. Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang*. Object Affinity Learning: Towards Annotation-Free Instance Segmentation (IEEE TPAMI) [PDF]
4. Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang*. GAIA-Universe: Everything is Super-Netify (IEEE TPAMI) [PDF][GitHub]
5. Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu. Extracting Semantic Knowledge From GANs With Unsupervised Learning (IEEE TPAMI) [PDF]
6. Junsong Fan, Zhaoxiang Zhang*. Toward Practical Weakly Supervised Semantic Segmentation via Point-Level Supervision (IJCV) [PDF]
7. Jing Li, Junsong Fan, Yuxi Wang, Yuran Yang, Zhaoxiang Zhang*. Coarse Mask Guided Interactive Object Segmentation (IEEE TIP) [PDF]
8. Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, Zhaoxiang Zhang*. SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models (NeurIPS) [PDF][Project][GitHub]
9. Haochen Wang, Junsong Fan, Yuxi Wang, Kaiyou Song, Tong Wang, Zhaoxiang Zhang*. DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions (NeurIPS) [PDF] [GitHub]
10. Yang Liu, Feng Wang, Naiyan Wang, Zhaoxiang Zhang*. Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion (NeurIPS) [PDF]
11. Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection (ICCV) [PDF][GitHub]
12. Yuxi Wang, Jian Liang, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang*. Informative Data Mining for One-shot Cross-Domain Semantic Segmentation (ICCV) [PDF][GitHub]
13. Jingtao Wang, Zengjie Song, Yuxi Wang, Jun Xiao, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang*. SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow (ICCV) [PDF]
14. Lin Zhang, Xin Li, Dongliang He, Fu Li, Errui Ding, Zhaoxiang Zhang*. LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution (ICCV) [PDF][GitHub]
15. Liyi Chen, Chenyang Lei, Ruihuang Li, Shuai Li, Zhaoxiang Zhang, Lei Zhang. FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation (ICCV) [PDF][GitHub]
16. Xiaojun Tang, Junsong Fan, Chuanchen Luo, Zhaoxiang Zhang, Man Zhang, Zongyuan Yang. DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization (ICCV) [PDF][GitHub]
17. Jiawei He, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. 3D Video Object Detection With Learnable Object-Centric Global Optimization (CVPR) [PDF][GitHub]
18. Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang. Sharpness-Aware Gradient Matching for Domain Generalization (CVPR) [PDF][GitHub]
19. Haochen Wang, Kaiyou Song, Junsong Fan, Yuxi Wang, Jin Xie, Zhaoxiang Zhang*. Hard Patches Mining for Masked Image Modeling (CVPR) [PDF][GitHub]
20. Qu Tang, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang*. Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models (CVPR) [PDF]
21. Chenyang Lei, Xuanchi Ren, Zhaoxiang Zhang*, Qifeng Chen. Blind Video Deflickering by Neural Filtering With a Flawed Atlas (CVPR) [PDF][GitHub][Project]
22. Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zhaoxiang Zhang, Zhen Lei. Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images (CVPR) [PDF]
23. Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang*. FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection. (CVPR) [PDF][GitHub]
24. Cong Pan, Yonghao He, Junran Peng, Qian Zhang, Wei Sui, Zhaoxiang Zhang*. BAEFormer: Bi-Directional and Early Interaction Transformers for Bird’s Eye View Semantic Segmentation (CVPR) [PDF]
25. Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai. BEVFormer V2: Adapting Modern Image Backbones to Bird’s-Eye-View Recognition via Perspective Supervision (CVPR) [PDF][GitHub]
26. Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang. Robust Feature Rectification of Pretrained Vision Models for Object Recognition (AAAI) [PDF]
2022:
1. Junsong Fan, Zhaoxiang Zhang*. Memory-Based Cross-Image Contexts for Weakly Supervised Semantic Segmentation (IEEE TPAMI) [PDF][GitHub]
2. Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang*. Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification (IEEE TPAMI) [PDF][GitHub]
3. Zhaoxiang Zhang, Cong Pan, Junran Peng. Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection (IJCV) [PDF]
4. Zhaoxiang Zhang, Chuanchen Luo, Haiping Wu, Yuntao Chen, Naiyan Wang, Chunfeng Song. From Individual to Whole: Reducing Intra-class Variance by Feature Aggregation (IJCV) [PDF]
5. Xiaolin Hu, Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang. Improving Image Segmentation with Boundary Patch Refinement (IJCV) [PDF]
6. Yuchun Fang, Sirui Cai, Yiting Cao, Zhengchen Li, Zhaoxiang Zhang. Adversarial Learning Guided Task Relatedness Refinement Multi-Task Deep Learning (IEEE TMM) [PDF]
7. Wangli Hao, He Guan, Zhaoxiang Zhang*. VAG: A Uniform Model for Cross-Modal Visual-Audio Mutual Generation (IEEE TNNLS) [PDF]
8. Zhaoxiang Zhang, Yuelei Xu, Qi Cui, Qing Zhou, Linhua Ma. Unsupervised SAR and optical image matching using Siamese domain adaptation (IEEE TGRS) [PDF]
9. He Guan, Chunfeng Song, Zhaoxiang Zhang*, Tieniu Tan. MonoPoly: A practical monocular 3D object detector (PR) [PDF]
10. Qianqian Shi, Junsong Fan, Zuoren Wang, Zhaoxiang Zhang. Multimodal channel-wise attention transformer inspired by multisensory integration mechanisms of the brain (PR) [PDF]
11. Wenkai Dong, Zhaoxiang Zhang*, Chunfeng Song, Tieniu Tan. Identifying the key frames: An attention-aware sampling method for action recognition (PR) [PDF]
12. Junran Peng, Haoquan Wang, Shaolong Yue, Zhaoxiang Zhang*. Context-aware co-supervision for accurate object detection (PR) [PDF]
13. Yuchun Fang, Shiwei Xiao, Menglu Zhou, Sirui Cai, Zhaoxiang Zhang. Enhanced task attention with adversarial learning for dynamic multi-task CNN (PR) [PDF]
14. Zhaoxiang Zhang, Bin Luo, Jin Tang, Shan Yu, Amir Hussain. Editorial for Special Issue on Brain-inspired Machine Learning (Machine Intelligence Research) [PDF]
15. Zhaoxiang Zhang, Chenghang Wang, Jianing Song, Yuelei Xu. Object Tracking based on satellite videos: A literature review (Remote Sensing) [PDF]
16. Junsong Fan, Yuxi Wang, He Guan, Chunfeng Song, Zhaoxiang Zhang*. Toward few-shot domain adaptation with perturbation-invariant representation and transferable prototypes (Frontiers of Computer Science) [PDF]
17. Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang*. 4D Unsupervised Object Discovery (NeurIPS) [PDF][GitHub]
18. Lue Fan, Feng Wang, Naiyan Wang, Zhaoxiang Zhang*. Fully Sparse 3D Object Detection (NeurIPS) [PDF][GitHub]
19. Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang, Zhaoxiang Zhang*. Rrsr: Reciprocal reference-based image super-resolution with progressive feature alignment and selection (ECCV) [PDF]
20. Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxiang Zhang*. Densely constrained depth estimator for monocular 3d object detection (ECCV) [PDF][GitHub]
21. Chenghao Zhang, Kun Tian, Bolin Ni, Gaofeng Meng, Bin Fan, Zhaoxiang Zhang, Chunhong Pan. Stereo Depth Estimation with Echoes (ECCV) [PDF]
22. Junsong Fan, Zhaoxiang Zhang*, Tieniu Tan. Pointly-supervised panoptic segmentation (ECCV) [PDF][GitHub]
23. Zengjie Song, Yuxi Wang, Junsong Fan, Tieniu Tan, Zhaoxiang Zhang*. Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes (CVPR) [PDF][GitHub]
24. Qing Chang, Junran Peng, Lingxi Xie, Jiajun Sun, Haoran Yin, Qi Tian, Zhaoxiang Zhang*. DATA: Domain-Aware and Task-Aware Self-Supervised Learning (CVPR) [PDF][GitHub]
25. Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Wenqiang Zhang, Qian Zhang, Chang Huang, Zhaoxiang Zhang, Wenyu Liu. Sparse Instance Activation for Real-Time Instance Segmentation (CVPR) [PDF][GitHub]
26. Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang*. Embracing Single Stride 3D Object Detector With Sparse Transformer (CVPR) [PDF][GitHub]
27. Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang Zhang, Zhen Lei. HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network (CVPR) [PDF]
28. Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang. Implicit Sample Extension for Unsupervised Person Re-Identification (CVPR) [PDF] [GitHub]
29. Wenjian Wang, Lijuan Duan, Yuxi Wang, Qing En, Junsong Fan, Zhaoxiang Zhang*. Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer (CVPR) [PDF]
30. Chenghao Zhang, Kun Tian, Bin Fan, Gaofeng Meng, Zhaoxiang Zhang, Chunhong Pan. Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture (CVPR) [PDF][GitHub]
31. Renjie Zou, Chunfeng Song, Zhaoxiang Zhang*. The Devil Is in the Details: Window-Based Attention for Image Compression (CVPR) [PDF][GitHub]
32. Jing Li, Junsong Fan, Zhaoxiang Zhang*. Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation (CVPR) [PDF]
33. Ruitong Gan, Junsong Fan, Yuxi Wang, Zhaoxiang Zhang*. Interact with Open Scenes: A Life-long Evolution Framework for Interactive Segmentation Models (ACM MM) [PDF]
34. Zongzhao Li, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang. Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction (AAAI) [PDF]
35. Dongdong Li, Zhigang Wang, Jian Wang, Xinyu Zhang, Errui Ding, Jingdong Wang, Zhaoxiang Zhang*. Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification (IJCAI) [PDF]
2021:
1. Qing En, Lijuan Duan, Zhaoxiang Zhang*. Joint Multisource Saliency and Exemplar Mechanism for Weakly Supervised Video Object Segmentation (IEEE TIP) [PDF]
2. Manyu Zhu, Dongliang He, Xin Li, Chao Li, Fu Li, Xiao Liu, Errui Ding, Zhaoxiang Zhang. Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness (IEEE TIP) [PDF]
3. Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong, Peng Zhang, Zhaoxiang Zhang. Alleviating modality bias training for infrared-visible person re-identification (IEEE TMM) [PDF]
4. Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong, Zhaoxiang Zhang. Unsupervised Domain Adaptation with Background Shift Mitigating for Person Re-Identification (IJCV) [PDF]
5. Qu Tang, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang*. Object dynamics distillation for scene decomposition and representation (ICLR) [PDF][GitHub]
6. Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang*. GAIA: A Transfer Learning System of Object Detection That Fits Your Needs (CVPR) [PDF][GitHub]
7. Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang*. Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking (CVPR) [PDF][GitHub]
8. Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu. Unsupervised Object Detection With LIDAR Clues (CVPR) [PDF]
9. Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu. Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation (CVPR) [PDF]
10. Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu. RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features (CVPR) [PDF]
11. Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang. Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy (CVPR) [PDF]
12. Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang. Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression (CVPR) [PDF][GitHub]
13. Yuxi Wang, Junran Peng, ZhaoXiang Zhang*. Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation (ICCV) [PDF]
14. Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, ZhaoXiang Zhang*. RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection (ICCV) [PDF][GitHub]
15. Yan Huang, Qiang Wu, JingSong Xu, Yi Zhong, ZhaoXiang Zhang*. Clothing Status Awareness for Long-Term Person Re-Identification (ICCV) [PDF]
16. Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang. Group-wise semantic mining for weakly supervised semantic segmentation (AAAI) [PDF][GitHub]
2020:
1. Yuxi Wang, Zhaoxiang Zhang*, Wangli Hao, Chunfeng Song. Multi-Domain Image-to-Image Translation via a Unified Circular Framework (IEEE TIP) [PDF]
2. Yuxi Wang, Zhaoxiang Zhang*, Wangli Hao, Chunfeng Song. Attention Guided Multiple Source and Target Domain Adaptation (IEEE TIP) [PDF]
3. Weilun Chen, Zhaoxiang Zhang*, Xiaolin Hu, Baoyuan Wu. Boosting decision-based black-box adversarial attacks with random sign flip (ECCV) [PDF]
4. Junsong Fan, Zhaoxiang Zhang*, Tieniu Tan. Employing multi-estimations for weakly-supervised semantic segmentation (ECCV) [PDF]
5. Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang*. Generalizing person re-identification by camera-aware invariance learning and cross-domain mixup (ECCV) [PDF]
6. Wenkai Dong, Zhaoxiang Zhang*, Chunfeng Song, Tieniu Tan. Instance Guided Proposal Network for Person Search. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) [pdf][bibtex]
7. Wenkai Dong, Zhaoxiang Zhang*, Chunfeng Song, Tieniu Tan. Bi-directional Interaction Network for Person Search. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) [pdf][bibtex]
8. Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang*, Tieniu Tan, Junjie Yan. Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels. IEEE Conference on Computer Vision and Pattern Recognition(CVPR) [pdf][bibtex]
9. Junsong Fan, Zhaoxiang Zhang*, Chunfeng Song, Tieniu Tan. Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) [pdf][bibtex]
10. Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li. Context-Aware Attention Network for Image-Text Retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) [pdf][bibtex]
11. Junsong Fan, Zhaoxiang Zhang*, Tieniu Tan, Chunfeng Song, Jun Xiao. CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) [pdf][bibtex]
12. Huanglin Yu, Ke Chen, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia. Cascading Convolutional Color Constancy. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) [pdf][bibtex]
2019:
1. Yan Huang, Jingsong Xu, Qiang Wu, Yi Zhong, Peng Zhang, Zhaoxiang Zhang. Beyond Scalar Neuron: Adopting Vector-Neuron Capsules for Long-Term Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) [pdf][bibtex]
2. Guibo Zhu, Zhaoxiang Zhang*, Jinqiao Wang, Yi Wu, Hanqing Lu. Dynamic Collaborative Tracking. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). [pdf][bibtex]
3. Yan Huang, Jingsong Xu, Qiang Wu, Zhedong Zheng, Zhaoxiang Zhang, Jian Zhang Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification. IEEE Transactions on Image Processing (TIP) [pdf][bibtex] .
4. Wangli Hao, Zhaoxiang Zhang*. Spatiotemporal distilled dense-connectivity network for video action recognition. Pattern Recognition (PR) [pdf][bibtex]
5. Wei Wang, Hao Wang, Zhaoxiang Zhang, Chen Zhang, Yang Gao. Semi-supervised domain adaptation via Fredholm integral based kernel methods. Pattern Recognition (PR) [pdf][bibtex]
6. Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang*. SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition. Journal of Machine Learning Research (JMLR). [pdf][code][bibtex]
7. Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. Scale-Aware Trident Networks for Object Detection. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
8. Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. Spectral Feature Transformation for Person Re-Identification. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
9. Junran Peng, Ming Sun, Zhaoxiang Zhang*, Tieniu Tan, Junjie Yan. POD: Practical Object Detection with Scale-Sensitive Network. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
10. Haiping Wu, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. Sequence Level Semantics Aggregation for Video Object Detection. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
11. Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu. Improving Pedestrian Attribute Recognition with Weakly-Supervised Multi-scale Attribute-Specific Localization. IEEE International Conference on Computer Vision (ICCV). [pdf][bibtex]
12. Junran Peng, Ming Sun, Zhaoxiang Zhang*, Tieniu Tan, Junjie Yan. Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection. Thirty-third Conference on Neural Information Processing Systems (NeurIPS). [pdf][bibtex]
13. Wenkai Dong, Zhaoxiang Zhang*, Tieniu Tan. Attention-aware Sampling via Deep Reinforcement Learning for Action Recognition. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
14. Qing En, Lijuan Duan, Zhaoxiang Zhang*, Xiang Bai, Yundong Zhang. Human-like Delicate Region Erasing Strategy for Weakly Supervised Detection. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
2018:
1. Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, Ling Shao. GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints. IEEE Transactions on Systems, Man, and Cybernetics (TCYB). [pdf][bibtex]
2. Chi Zhang, Guangqi Hou, Zhaoxiang Zhang, Zhenan Sun, Tieniu Tan. Efficient auto-refocusing for light field camera. Pattern Recognition (PR). [pdf][bibtex]
3. Song Bai, Shaoyan Sun, Xiang Bai, Zhaoxiang Zhang, Qi Tian. Improving context-sensitive similarity via smooth neighborhood for object retrieval. Pattern Recognition (PR). [pdf][bibtex]
4. Rui Yu, Zhiyong Dou, Song Bai, Zhaoxiang Zhang, Yongchao Xu, Xiang Bai. Hard-Aware Point-to-Set Deep Metric for Person Re-identification. European Conference on Computer Vision (ECCV). [pdf][bibtex]
5. Wangli Hao, Zhaoxiang Zhang*, He Guan. Integrating both Visual and Audio Cues for Enhanced Video Caption. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
6. Wangli Hao, Zhaoxiang Zhang*, He Guan. CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
7. Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang*. DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI). [pdf][bibtex]
8. Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu. Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
9. Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang. Deep Convolutional Neural Networks with Merge-and-Run Mappings. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
2017:
1. Ke Chen, Zhaoxiang Zhang*. Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment. IEEE Transactions on Big Data (TBD). [pdf][bibtex]
2. Ke Chen, Zhaoxiang Zhang*. Pedestrian Counting With Back-Propagated Information and Target Drift Remedy. IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC). [pdf][bibtex]
3. Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Qi Tian, Longin Jan Latecki. GIFT: Towards Scalable 3D Shape Retrieval. IEEE Transactions on Multimedia (TMM). [pdf][bibtex]
4. Ke Chen, Kui Jia, Zhaoxiang Zhang, Joni-Kristian Kämäräinen. Spectral attribute learning for visual regression. Pattern Recognition (PR). [pdf][bibtex]
5. Yuchun Fang, Zhengyan Ma, Zhaoxiang Zhang*, Xu-Yao Zhang, Xiang Bai. Dynamic Multi-Task Learning with Convolutional Neural Network. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
6. Guibo Zhu, Zhaoxiang Zhang*, Xu-Yao Zhang, Cheng-Lin Liu. Diverse Neuron Type Selection for Convolutional Neural Networks. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
7. Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang*. Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers. International Joint Conference on Artificial Intelligence (IJCAI). [pdf][bibtex]
2016:
1. Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, Ling Shao. Compressive Sequential Learning for Action Similarity Labeling. IEEE Transactions on Image Processing (TIP). [pdf][bibtex]
2. Song Bai, Shaoyan Sun, Xiang Bai, Zhaoxiang Zhang, Qi Tian. Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-Sensitive Similarity. The 14th European Conference on Computer Vision (ECCV). [pdf][bibtex]
3. Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki. GIFT: A Real-Time and Scalable 3D Shape Search Engine. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). [pdf][bibtex]

“The First Prize of Beijing Science and Technology Award”，北京市科学技术进步奖一等奖，2023
“CAAI Technical Innovation Award”, 中国人工智能学会技术发明奖（排名第一），2019
“CCF Distinguished Member”, 中国计算机学会杰出会员，2019
“CAAI Distinguished Contributions Award”, 中国人工智能学会杰出贡献奖，2019
“CAAI Distinguished Member”, 中国人工智能学会杰出会员，2019
“CAS Youth Model Award”, 中国科学院团委青年学习标兵，2019
“BICS’2016 Best Paper Award”, BICS’2016最佳论文奖，2016
“IEEE Senior Member”, IEEE高级会员，2015
“New Century Excellent Talents in University”, 教育部新世纪优秀人才支持计划，2013

1 谭铁牛、黄凯奇、张兆翔，一种基于在线学习的运动目标分类方法，申请号：200710121728.X，公开号：CN101389004，申请日期：2007.09.13，授权日期：2010.06.09
2 谭铁牛、黄凯奇、张兆翔、李敏，一种基于运动目标表象和运动信息的摄像机自标定方法，申请号：200810056258.8，公开号：CN101488222，申请日期：2008.01.16，授权日期：2011.02.09
3 谭铁牛、黄凯奇、李敏、张兆翔，一种基于统计特征的人群密度分析方法，申请号：200710179883.7，公开号：CN101464944，申请日期：2007.12.19，授权日期：2011.03.16
4 张兆翔、郝王丽、关赫，动态多模态视频描述生成方法，申请号：201711433810.6，公开号：CN108200483B，申请日期：2017.12.26，授权日期：2020.02.28
5 张兆翔、张驰、恩擎，基于视觉注意机制强化学习弱监督图像检测方法、系统，申请号：201910273048.2，公开号：110084245B， 申请日期：2019.04.04，授权日期：2020.12.25
6 张兆翔、谭铁牛、董文恺、张驰，基于强化学习的行为识别视频帧采样方法及系统，申请号：201910060129.4，公开号：109800717B，申请日期：2019.01.22，授权日期：2021.02.02
7 张兆翔、宋纯锋、许啸，基于视听多模态的舞蹈生成方法、系统、装置，申请号：202010595530.0，公开号：CN111711868B，申请日期：2020.06.24，授权日期：2021.07.20
8 张兆翔、谭铁牛、宋纯锋、董文恺，基于类别外部记忆的视频目标检测方法、系统、装置，申请号：202010536900.3，公开号：CN111723719B，申请日期：2020.06.12，授权日期：2021.08.13
9 张兆翔、谭铁牛、宋纯锋、樊峻菘，基于类内判别器的弱监督图像语义分割方法、系统、装置，申请号：202010506805.9，公开号：CN111723813B，申请日期：2020.06.05，授权日期：2021.07.06
10 张兆翔、张驰、杨振， 基于自标注训练样本的三维目标检测方法、系统及装置，申请号：202011146504.6，公开号：CN112257605B，申请日期：2020.10.23，授权日期：2021.07.23
11 张兆翔、宋纯锋、王玉玺，基于数据分布扩充的跨域自适应语义分割方法及系统，申请号：202110511220.0，公开号：CN113221902B，申请日期：2021.05.11，授权日期：2021.10.15
12 张兆翔、宋纯锋、王玉玺，跨域自适应语义分割方法及系统，申请号：202110511242.7，公开号：113221903B，申请日期：2021.05.11，授权日期：2021.10.15
13 张兆翔、张驰、陈文博，基于多自由度传感关联的三维实时全景监控方法，申请号：202110126538.7，公开号：CN112446905B，申请日期：2021.01.29，授权日期：2021.05.11
14 赫然、张兆翔、卢治合、胡坦浩，基于人脸解析的表情编辑方法及装置，申请号：201811593470.8，公开号：CN109829959B，申请日期：2018.12.25，授权日期：2021.01.08
15 张兆翔、潘聪，深度引导变形器的单目三维目标检测模型训练方法及装置，申请号：CN202210307546.6，公开号：CN114842287B，申请日期：2022.03.25，授权日期：2022.12.06
16 张兆翔、宋纯锋、邹仁杰，一种图像压缩方法及装置，申请号：CN202210118720.2，公开号：CN114663536B，申请日期：2022.02.08，授权日期：2022.12.06
17 张兆翔、王宇琪、陈韫韬，无监督的物体实例检测方法及装置，申请号：CN202210116791.9，公开号：CN114663347B，申请日期：2022.02.07，授权日期：2022.09.27
18 张兆翔、张驰、叶阳阳，车道线检测方法、系统、车载系统及车辆，申请号：CN201911391910.6，公开号：CN111126327B，申请日期：2019.12.30，授权日期：2023.09.15
19 张兆翔、谭铁牛、宋增杰，声源分离方法及装置，申请号：CN202210073239.6，公开号：CN114596876B，申请日期：2022.01.21，授权日期：2023.04.07
20 张兆翔、常清、彭君然，一种预训练模型抽选框架的构建方法及装置，申请号：CN202210225051.9，公开号：CN114743041B，申请日期：2022.03.09，授权日期：2023.01.03
21 张兆翔、宋纯锋、吴晗，基于多目标跟踪的行为识别轻量化方法、系统、设备，申请号：CN202110447553.1，公开号：CN113158909B，申请日期：2021.04.25，授权日期：2023.06.27
22 张兆翔、张驰、陈文博、裴仪瑶，目标检测方法、装置、电子设备及存储介质，申请号：CN202210122800.5，公开号：CN114663879B，申请日期：2022.02.09，授权日期：2023.02.21
23 张兆翔、李颖彦、陈韫韬、何嘉伟，基于关键点匹配的3D目标检测方法及装置，申请号：CN202210574052.4，公开号：CN115063789B，申请日期：2022.05.24，授权日期：2023.08.04