选择的论文

1. Wang, Qiexiang,Sun, Yazhou,Wang, Zhongfang,Wang, Longhui,Wang, Jian,Zhang, Xudong, Model-Based RF Fingerprint Extraction Approach for Robust IoT Device Identification, IEEE Internet of Things Journal,2025

2. Qiexiang Wang，Longhui Wang，Jian Wang，Xudong，Zhang，A Time-Varying and Time-Invariant RF Fingerprint Extraction Approach for IoT Device Identification，IEEE ICC'24

3. L Yu, Y Qiu, Q Yao, Y Shen, X Zhang, J Wang. Robust Communicative MultiAgent Reinforcement Learning with Active Defense，Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2024, 38(16): 17575-17582

4. Qiu Yb，Jin Yue， Yu Lebin，Jian Wang，Xudong Zhang，Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help，IEEE ICASSP 2023
   

5. Qiu, Yunbo; Jin, Yue; Yu, Lebin; Wang, Jian; Wang, Yu; Zhang, Xudong，Improving Sample Efficiency of Multi-Agent Reinforcement Learning with Non-expert Policy for Flocking Control，IEEE Internet of Things Journal,2023

6. Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu. Supervised Off-Policy Ranking. International Conference on Machine Learning (ICML), 2022

7. Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang. Learning to Advise and Learning from Advice in Cooperative Multiagent Reinforcement Learning. International Conference on Autonomous Agents and Multiagent Agent Systems (AAMAS), Auckland, New Zealand, 2022

8. Zihan Lin; Jincheng Yu; Lipu Zhou; Xudong Zhang; Jian Wang Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline，IEEE Robotics and Automation Letters，2022

9. Yunbo Qiu, Yuzhu Zhan, Yue Jin, Jian Wang, Xudong Zhang, “Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control”, IEEE Vehicular Technology Conference 2022 fall
   

10. Jin, Yue; Wei, Shuangqing; Yuan, Jian; Zhang, Xudong, Hierarchical and Stable Multi-agent Reinforcement Learning for Cooperative Navigation Control IEEE Transactions on Neural Networks and Learning Systems，2021

11. Jin, Yue, Yuan, Jian, Zhang, Xudong et al. Stabilizing Multi-Agent Deep Reinforcement Learning by Implicitly Estimating Other Agents' Behaviors, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020, Pages 3547-3551

12. Chao Wang, Jian Wang, Yuan Shen, Xudong Zhang,Autonomous Navigation of UAVs in Large-scale Complex Environments: A Deep Reinforcement Learning Approach, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY V. 68 Issue: 3 Pages: 2124-2136，MAR 2019.

13. Yue Jin, Yaodong Zhang, Jian Yuan, Xudong Zhang，EFFICIENT MULTI-AGENT COOPERATIVE NAVIGATION IN UNKNOWN ENVIRONMENTS WITH INTERLACED DEEP REINFORCEMENT LEARNING， ICASSP2019， UK

14. Chao Wang, Jian Wang, Jingjing Wang and Xudong Zhang，Deep Reinforcement Learning-based Autonomous UAV Navigation with Sparse Rewards，IEEE INTERNET OF THINGS JOURNAL, 2020, Volume 7, Issue 7, Pages 6180-6190

15. Xinyue Zhang, Xudong Zhang, TENSOR COMPRESSIVE HYPERSPECTRAL IMAGING BASED ON TOTAL VARIATION NORM MINIMIZATION, 2018 IEEE GlobalSIP, USA

16. Chao Wang, Jian Wang and Xudong Zhang, A Deep Reinforcement Learning Approach to Flocking and Navigation of UAVs In Large-Scale Complex Environments. IEEE GlobalSIP 2018,USA

17. Xinyue Zhang, Xudong Zhang, "Compressive Hyperspectral Imaging with Spatial and Spectral Priors," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing，Volume: 11 Issue: 11, 2018

18. Chao wang, Jian wang, Xudong Zhang, Autonomous Navigation of UAV in large scale unknown complex environment with deep reinforcement learning, GlobalSIP, 2017, Montreal Canada

19. Chao Wang, Jian Wang, Xudong Zhang, Automatic Radar Waveform Recognition Based on Time-Frequency Analysis and Convolutional Neural Network，ICASSP 2017

20. Zhirui Wang, Xianggen Xia, Jia Xu, Zuzhen Huang, Xudong Zhang, Ground Moving Target Imaging Based on 2-D Velocity Search in High Resolution SAR, IEEE International Radar Conference,2017

21. Zhirui Wang, Jia Xu, Zuzhen Huang, Xudong Zhang, et al, Road-aided Doppler ambiguity resolve for SAR ground moving target in the image domain, IEEE Geosci. Remote Sens. Lett., Vol.13 no.10, p1552-1556, Oct. 2016

22. Xinyue Zhang, Xudong Zhang, Bin Zhou, Fast Iterative Reweighted Least Squares Algorithm for Sparse Signals Recovery, DSP 2016

23. Wenkui Ding, Xiubo Geng and Xu-dong Zhang, Learning to Rank from Noisy Data, ACM Transactions on Intelligent Systems and Technology. Volume 7 Issue 1, Article 1, October 2015

24. Huichen Yan, Shibao Peng, Jia Xu and Xudong Zhang, et al, Wideband Underwater Sonar Imaging via Compressed Sensing with Scaling Effect Compensation，SCIENCE CHINA Information Sciences, Vol. 58 No. 2 February 2015

25. Hao Gao, Jian Wang, ChunXiao Jiang, Xudong Zhang, Equilibrium Between a Statistical MIMO Radar and a Jammer, 2015 IEEE International Radar Conference, Arlington, Virginia.

26. Huichen Yan, Xudong Zhang, et al, Compressed Sensing Radar Imaging of Off-Grid Sparse Targets, 2015 IEEE International Radar Conference, Arlington, Virginia

27. Huichen Yan，Xudong Zhang，et al. Sonar imaging of structured sparse scene using template compressed sensing, 2013 Compressed Sensing Radar Workshop

28. Wenkui Ding, Tao Qin, Xu-Dong Zhang，et. al, Multi-Armed Bandit with Budget Constraint and Variable Costs, AAAI 2013

29. Tao Qin, Tie-Yan Liu, Xudong Zhang，et al. Global Ranking Using Continuous Conditional Random Fields, NIPS 2008. [Oral Full Paper]

30. Chen Y, Feng J, Lo KT，Zhang XD，Content analysis based smart macroblock rearrangement for error resilience in wireless video transmission， JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION Volume: 19 Issue: 6 Pages: 343-354 ，AUG 2008 

31. Tao Qin, Tieyan Liu, Xudong Zhang, et al, Learning to Rank Relational objects and Its Application to Web Search, Proceeding of the 17th international conference on World Wide Web, WWW2008

32. Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, Tie-Yan Liu, and Hang Li, Query-Level Loss Functions for Information Retrieval, Information Processing and Management，Vol.44, No.2, March 2008,838-855

33. Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang, Wei-Ying Ma and Hong-Jiang Zhang, An Active Feedback Framework for Image Retrieval, Pattern Recognition Letters, Vol.29, No.5,2008, 637-646

34. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, et al. Topic Distillation via Subsite Retrieval, Information Processing and Management, 43(2007), 445-460

35. Tao Qin, Tie-Yan Liu, Wei Lai, Xu-Dong Zhang, De-Sheng Wang, Hang Li, Ranking with Multiple Hyperplanes, 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ( SIGIR2007), Amsterdam, Netherlands, 2007

36. Guang Feng, Tie-Yan Liu, Ying Wang, Ying Bao, Zhiming Ma, Xu-Dong Zhang, Wei-Ying Ma: AggregateRank: bringing order to web sites. SIGIR 2006: 75-82

37. Li Ruonan, Chen Yu, Zhang Xudong, Fast Robust Eigen-background Updating for foreground Detection, Proceeding of ICIP2006, 1833-1836, Atlanta,USA

38. Ruonan Li, Xudong Zhang, Hui Zhang, Guangshu Hu, Facial Recognition Using Enhanced Pixelized Image for Simulated Visual Prosthesis, Proceedings of the 27th IEEE EMBC, 2005

39. Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Zheng Chen, Wei-Ying Ma, A Study on Relevance Propagation for Web Search, 28th Annual International ACM，SIGIR Conference on Research and Development in Information Retrieval，H.3.3 ( SIGIR2005), Salvador, Brazil, 2005

40. Liu Tieyan, Zhang Xudong, Feng Jian and Lo Ku-tung, “Shot Reconstruction Degree: A Novel Criterion for the Evaluation of Key Frame Selection Algorithms”, Pattern Recognition Letter, 2004(25), p1451-1457

41. Tieyan Liu, Kwok-Tung Lo, Xudong Zhang, Jian Feng, “A New Cut Detection Algorithm with Constant False-Alarm Ratio for Video segmentation”, Journal of Visual Communication and Image Representation. R.15(2), June 2004, 132-144

42. Xu-Dong Zhang, Kwok-Tung Lo and Jian Feng, “A Robust Image Watermarking Using Tree-Based Spatial-Frequency Feature of Wavelet Transform,” Journal of Visual Communication and Image Representation, Dec. 2003, Vol.14(4), 474-491

43. Tieyan Liu, Jian Feng, Xudong Zhang, Kwok-Tung Lo, “Inertia-based Video Cut Detection and Its Integration with Video Coder”, IEE Proceeding of Visual, Image and Signal Processing, 150(3):189-192 June 2003.

44. Xudong Zhang, Tieyan Liu, Kwok-Tung Lo, Jian Feng, “Dynamic selection and Effective Compression of Key Frames for video abstraction”, Pattern Recognition Letter. Vol.24, 9-10, June, 2003, pp1533-1542

45. Tieyan Liu, Xudong Zhang, Linwei Shan and Yingning Peng “Constant False-alarm Ratio Processing for Video Cut Detection”, Proceeding of ICIP’2002

46. J. Feng, *T.Y. Liu, K.T. Lo and X.D. Zhang, ‘Adaptive motion tracking for fast block motion estimation,’ 2001 IEEE International Symposium on Circuits and Systems (ISCAS’01), May 2001, Sydney,Australia

47. Zhang Xu-dong, Lo Kwok-Tung, Feng Jian, and Wang Desheng, “A Robust image watermaking using spatial-frequency feature of wavelet transform”, Proceedings of ICSP’2000

48. K. T. Lo, X. D. Zhang, J. Feng, D. S. Wang  “A Universal Perceptual Weighted Zerotree Coding For Image and Video Compression”  IEE Proceeding of Image, Vision and Signal processing. vol.147, no.3, pp.261-265，June, 2000

49. 张旭东，王德生，彭应宁，基于三维子波变换和分级零树扫描的视频编码算法研究，电子学报，Vol.27 No.7, 1999, 35-37

50. 张旭东、王德生、彭应宁，“自适应分区DCT/DWT低码率视频编码算法”，电子学报,1998,26(4):7-11

出版著作

张旭东，机器学习，清华大学出版社，2024年第一版

张旭东，机器学习教程，清华大学出版社，2023年第一版

张旭东，机器学习导论，清华大学出版社，2022年第一版

张旭东，现代信号分析和处理，清华大学出版社，2018年第一版，2024年第二版

张旭东，崔晓伟，王希勤，数字信号分析和处理，清华大学出版社，2014年第一版，2021年第二版

张旭东，陆明泉，离散随机信号处理，清华大学出版社，2005年第一版

张旭东，卢国栋，冯健，图像编码基础和小波压缩技术，清华大学出版社，2003年第一版

先后承担国家863，国家专项，部委项目，国际合作等科研项目数十项。在多媒体信号处理，统计信号处理，机器学习及其在互联网中的应用等方面取得一系列成果。