Basic Information/基本信息

                

                Le Wang, Ph.D.

                           Professor

Institute of Artificial Intelligence and Robotics

           College of Artificial Intelligence

               Xi'an Jiaotong University

                        王乐，博士

                     教授，博导

                     陕西省杰青

  西安交通大学“青年拔尖人才计划”A类

                      所长助理

         人工智能与机器人研究所

                  人工智能学院

                  西安交通大学

Honors and Awards/荣誉奖励

  • 2022，陕西省杰出青年科学基金
  • 2022，西安交通大学“青年拔尖人才计划”A类
  • 2021，西安交通大学青年教师跟踪支持计划B类
  • 2021，CVPR 2021 HACS W-TAL Challenge Runner-up [report]
  • 2020，中国自动化学会科普奖
  • 2020，IEEE Senior Member
  • 2020，西安交通大学2019年度科技工作先进个人
  • 2019，指导学生获西安交通大学“信源通”高水平论文奖
  • 2018，中国科协青年人才托举工程
  • 2018，指导学生获西安交通大学优秀硕士学位论文
  • 2014，西安交通大学“信源通”优秀博士论文基金
  • 2012-2014，西安交通大学“信源通”高水平论文奖
  • 2012，ACCV Best Application Paper Award

Contact Information

  • Email: lewang at xjtu.edu.cn
  • Mail: Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi 710049, China
  • Office: Room 307, Science Building

站点计数器

Biography/个人简介

Le Wang is a Professor at Xi'an Jiaotong University. He received his Ph.D. degree in Control Science and Engineering and a B.E. degree in Automation both from Xi'an Jiaotong University in 2014 and 2008, respectively. From 2016 to 2017, he was a visiting scholar with Northwestern University, Evanston, IL, USA. From 2013 to 2014, he was a visiting Ph.D. student with Stevens Institute of Technology, Hoboken, NJ, USA. He joined Xi'an Jiaotong University in October 2014. He is a senior member of the IEEE, CCF, and CSIG, and a member of the CAA.

Work/工作经历

02/2022 - Present, Xi'an Jiaotong University, Xi'an, Shaanxi, China

      Professor, Institute of Artificial Intelligence and Robotics

07/2018 - 01/2022, Xi'an Jiaotong University, Xi'an, Shaanxi, China

      Associate Professor, Institute of Artificial Intelligence and Robotics

10/2014 - 06/2018, Xi'an Jiaotong University, Xi'an, Shaanxi, China

      Assistant Professor, Institute of Artificial Intelligence and Robotics

01/2016 - 01/2017, Northwestern University, Evanston, IL, USA

      Visiting Scholar, Electrical and Computer Engineering, supervised by Prof. Ying Wu

Education/教育背景

09/2008 - 09/2014, Xi'an Jiaotong University, Xi'an, Shaanxi, China

    Ph.D. in Control Science and Engineering

09/2013 - 03/2014, Stevens Institute of Technology, Hoboken, NJ, USA

   Visiting Ph.D. student in Computer Science, supervised by Prof. Gang Hua

09/2004 - 07/2008, Xi’an Jiaotong University, Xi'an, Shaanxi, China

   B.E. in Automation

Research Interests/研究兴趣

Computer Vision and Pattern Recognition/计算机视觉与模式识别

  • Image/Video Object Segmentation/图像/视频目标分割
  • Image/Video Analysis and Understanding/图像视频分析与理解
  • Video Action and Event Analysis and Understanding/视频行为/事件分析与理解
  • Fine-grained Object Analysis/细粒度目标分析
  • Person Re-Identification/行人重识别
  • Visual-Semantic Embedding/视觉-语义嵌入

Deep Learning/深度学习

Hybrid-augmented Intelligence/混合增强智能

Publications/论文

 
Notes:
  • Electronic papers shared on this website are for fast dissemination of research work. The copyrights of the papers belong to the corresponding publishers. Also, the technologies presented in some of the published papers are protected by China Patents or pending Patents.

Selected Journal Articles:

  1. Kun Xia, Le Wang*, Yichao Shen, Sanping Zhou, Gang Hua, Wei Tang, "Exploring Action Centers for Temporal Action Localization", IEEE Transactions on Multimedia (T-MM), 2023. (CCF B, IF: 8.182)
  2. Zixin Zhu, Le Wang*, Wei Tang, Nanning, Zheng, and Gang Hua, "ContextLoc++: A Unified Context Model for Temporal Action Localization", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023. (CCF A, IF: 24.314) 
  3. Le Wang, Junwen Tian, Sanping Zhou*, Haoyue Shi, Gang Hua, "Memory-Augmented Appearance-Motion Network for Video Anomaly Detection", Pattern Recognition (PR), Vol. 138, pp. 109335, 2023. (CCF B, IF: 8.518)
  4. Le Wang, Hongzhen Liu, Sanping Zhou*, Wei Tang, Gang Hua, "Instance Motion Tendency Learning for Video Panoptic Segmentation",  IEEE Transactions on Image Processing (T-IP), Vol. 32, pp. 764-778, 2023. (CCF A, IF: 11.041)
  5. Le Wang, Qing Li, Sanping Zhou*, Nanning Zheng, "Multi-Panda Tracking", IEEE Transactions on Multimedia (T-MM), Vol.25, pp. 706-720, 2023. (CCF B, IF: 8.182)
  6. Yuanhao Zhai, Le Wang*, Wei Tang, Qilin Zhang, Nanning Zheng, David Doermann, Junsong Yuan, Gang Hua, "Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022. (CCF A, IF: 24.314) 
  7. Ziyi Liu, Le Wang*, Qilin Zhang, Wei Tang, Nanning Zheng, and Gang Hua, "Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 44, Issue 9, pp. 5886-5902, 2022. (CCF A, IF: 24.314)
  8. Kun Xia, Le Wang*, Sanping Zhou, Gang Hua, Wei Tang, "Dual Relation Network for Temporal Action Localization", Pattern Recognition (PR), Vol. 129, pp. 108725, 2022. (CCF B, IF: 8.518)
  9. Yuanhao Zhai, Le Wang*, Wei Tang, Qilin Zhang, Nanning Zheng, and Gang Hua, "Action Coherence Network for Weakly-Supervised Temporal Action Localization", IEEE Transactions on Multimedia (T-MM), Vol. 24, pp. 1857-1870, 2022. (CCF B, IF: 8.182)
  10. Haoyue Shi, Le Wang*, Nanning Zheng, Gang Hua, and Wei Tang, "Loss Functions for Pose Guided Person Image Generation", Pattern Recognition (PR), Vol. 122, pp. 108351, 2022. [Code] (CCF B, IF: 8.518)
  11. Le Wang*, Mo Zhou, Zhenxing Niu, Qilin Zhang, Nanning Zheng, "Adaptive Ladder Loss for Learning Coherent Visual-Semantic Embedding", IEEE Transactions on Multimedia (T-MM), 2021. (CCF B, IF: 8.182)
  12. Le Wang, Rizhi Ding, Yuanhao Zhai, Qilin Zhang, Wei Tang, Nanning Zheng, and Gang Hua*, "Giant Panda Identification", IEEE Transactions on Image Processing (T-IP), Vol. 30, pp. 2837-2849, 2021. (CCF A, IF: 11.041)
  13. Le Wang, Xin Lv, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua*, "Object Cosegmentation in Noisy Videos with Multilevel Hypergraph", IEEE Transactions on Multimedia (T-MM), Vol. 23, pp. 1287-1300, 2021. (CCF B, IF: 8.182)
  14. Zhanning Gao, Le Wang*, Nebojsa Jojic, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Video Imprint", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 41, Issue 12, pp. 3086-3099, December, 2019. (CCF A, IF: 24.314)
  15. Ziyi Liu, Le Wang*, Gang Hua, Qilin Zhang, Zhenxing Niu, Ying Wu, and Nanning Zheng, "Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks", IEEE Transactions on Image Processing (T-IP), Vol. 27, Issue 12, pp. 5840-5853, December, 2018. (CCF A, IF: 11.041)
  16. Le Wang*, Gang Hua, Rahul Sukthankar, Jianru Xue, Zhenxing Niu, and Nanning Zheng, "Video Object Discovery and Co-Segmentation with Extremely Weak Supervision", IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 39, Issue 10, pp. 2074-2088, October, 2017. (CCF A, IF: 24.314)
  17. Le Wang*, Gang Hua, Jianru Xue, Zhanning Gao, and Nanning Zheng, "Joint Segmentation and Recognition of Categorized Objects from Noisy Web Image Collection", IEEE Transactions on Image Processing (T-IP), Vol. 23, Issue 9, pp. 4070-4086, September, 2014. (CCF A, IF: 11.041)
  18. Jianru Xue*, Le Wang, Nanning Zheng, and Gang Hua, "Automatic salient object extraction with contextual cue and its applications to recognition and alpha matting", Pattern Recognition (PR), Vol. 46, Issue 11, pp. 2874-2889, November, 2013. (Long version of the ICCV'2011 segmentation paper) (CCF B, IF: 8.518)

Selected Conference Papers:

  1. Zheng Qin, Sanping Zhou, Le Wang, Jinghai Duan, Gang Hua, Wei Tang, "MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2023), Vancouver, Canada, 18-22 June, 2023.  (CCF A)

  2. Bingxu Mu, Zhenxing Niu, Le Wang, xue wang, Qiguang Miao, Rong Jin, Gang Hua, "Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2023), Vancouver, Canada, 18-22 June, 2023.  (CCF A)

  3. Yuxuan Wu, Le Wang*, Sanping Zhou, Jinghai Duan, Gang Hua, Wei Tang, "Multi-stream Representation Learning for Pedestrian Trajectory Prediction", AAAI Conference on Artificial Intelligence (AAAI'2023), Washington, DC, USA, 7-14 February, 2023. (CCF A)

  4. Kun Xia, Le Wang*, Sanping Zhou, Nanning Zheng, and Wei Tang, "Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2022), pp. 13874-13883, New Orleans, Louisiana, 19-24 June, 2022.  (CCF A)

  5. Zixin Zhu, Le Wang*, Wei Tang, Ziyi Liu, Nanning Zheng, and Gang Hua, "Learning Disentangled Classification and Localization Representations for Temporal Action Localization", AAAI Conference on Artificial Intelligence (AAAI'2022), pp. 3644-3652, Vancouver, BC, Canada, 22 February - 1 March, 2022. (CCF A)

  6. Liushuai Shi, Le Wang*, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, and Gang Hua, "Social Interpretable Tree for Pedestrian Trajectory Prediction", AAAI Conference on Artificial Intelligence (AAAI'2022), pp. 2235-2243, Vancouver, BC, Canada, 22 February - 1 March, 2022. [Code] (CCF A)

  7. Jinghai Duan, Le Wang*, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, and Gang Hua, "Complementary Attention Gated Network for Pedestrian Trajectory Prediction", AAAI Conference on Artificial Intelligence (AAAI'2022), pp. 542-550, Vancouver, BC, Canada, 22 February - 1 March, 2022. [Code] (CCF A)

  8. Haoxuanye Ji, Le Wang*, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua, "Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification", IEEE/CVF International Conference on Computer Vision (ICCV'2021), pp. 3641-3650, Montreal, Canada, 11-17 October, 2021. [Code coming soon] (CCF A)
  9. Fang Zheng, Le Wang*, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua, "Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction", IEEE/CVF International Conference on Computer Vision (ICCV'2021), pp. 13148-13157, Montreal, Canada, 11-17 October, 2021. [Code coming soon] (CCF A)
  10. Mo Zhou, Le Wang*, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua, "Practical Relative Order Attack in Deep Ranking", IEEE/CVF International Conference on Computer Vision (ICCV'2021), pp. 16393-16402, Montreal, Canada, 11-17 October, 2021. [Code] (CCF A)
  11. Zixin Zhu, Wei Tang, Le Wang*, Nanning Zheng, Gang Hua, "Enriching Local and Global Contexts for Temporal Action Localization", IEEE/CVF International Conference on Computer Vision (ICCV'2021), pp. 13496-13505, Montreal, Canada, 11-17 October, 2021. [Code] (CCF A)
  12. Liushuai Shi, Le Wang*, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, and Gang Hua, "SGCN:Sparse Graph Convolution for Pedestrian Trajectory Prediction", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2021), pp. 8990-8999, Long Nashville, TN, 19-25 June, 2021. [Code] (CCF A)
  13. Ziyi Liu, Le Wang*, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, "ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization", AAAI Conference on Artificial Intelligence (AAAI'2021), pp. 2233-2241, Vancouver, BC, Canada, 2-9 February, 2021. (CCF A)
  14. Ziyi Liu, Le Wang*, Wei Tang, Junsong Yuan, Nanning Zheng, and Gang Hua, "Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context", AAAI Conference on Artificial Intelligence (AAAI'2021), pp. 2242-2250, Vancouver, BC, Canada, 2-9 February, 2021. (CCF A)
  15. Yuanhao Zhai, Le Wang*, Wei Tang, Qilin Zhang, Junsong Yuan, and Gang Hua, "Two-Stream Consensus Networks for Weakly-Supervised Temporal Action Localization", European Conference on Computer Vision (ECCV'2020), pp. 37-54, Glasgo, Scotland, UK, 23-28 August, 2020. (Spotlight Oral) (CCF B)
  16. Mo Zhou, Zhenxing Niu, Le Wang*, Qilin Zhang, and Gang Hua, "Adversarial Ranking Attack and Defense", European Conference on Computer Vision (ECCV'2020), pp. 781-799, Glasgo, Scotland, UK, 23-28 August, 2020. (CCF B)
  17. Mo Zhou, Zhenxing Niu, Le Wang*, Zhanning Gao, Qilin Zhang, and Gang Hua, "Ladder Loss for Coherent Visual-Semantic Embedding", AAAI Conference on Artificial Intelligence (AAAI'2020), pp. 13050-13057, New York, NY, USA, 7-12 February, 2020. (CCF A)
  18. Ziyi Liu, Le Wang*, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Weakly Supervised Temporal Action Localization through Contrast based Evaluation Networks", IEEE/CVF International Conference on Computer Vision (ICCV'2019), pp. 3899-3908, Seoul, Korea, 27 October-2 November, 2019. (CCF A)
  19. Zhanning Gao, Le Wang*, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos", AAAI Conference on Artificial Intelligence (AAAI'2019), pp. 8328-8335, Honolulu, Hawaii, USA, 27 January-1 February, 2019. (Oral Presentation) (CCF A)
  20. Le Wang*, Gang Hua, Rahul Sukthankar, Jianru Xue, and Nanning Zheng, "Video Object Discovery and Co-segmentation with Extremely Weak Supervision", European Conference on Computer Vision (ECCV'2014), pp. 640-655, Zurich, Switzerland, 6-12 September, 2014. [Spotlight] [Poster] (CCF B)
  21. Le Wang*, Jianru Xue, Nanning Zheng, and Gang Hua, "Automatic Salient Object Extraction with Contextual Cue", IEEE International Conference on Computer Vision (ICCV'2011), pp.105-112, Barcelona, Spain, 6-13 November, 2011. [Demo] [Poster] (CCF A)

Patents/专利

Issued Patents/授权专利：

  1. 王乐，季皓宣烨，周三平，陈仕韬，辛景民，郑南宁，“基于样本对关系蒸馏的行人重识别方法、系统、设备及介质”，申请号：ZL202110866987.5，申请时间：2021.07.29，授权时间：2022.12.24.
  2. 王乐，翟元浩，郑南宁，“一种基于双模态协同的弱监督时序动作定位方法及系统”，专利号：ZL202010614973.X，申请时间：2020.06.30，授权时间：2022.12.09.
  3. 王乐，刘信伶，“一种视频多目标关联与分割方法及系统”，专利号：ZL202010318375.8，申请时间：2020.04.21，授权时间：2022.12.09.
  4. 王乐，师皓玥，郑南宁，“一种姿态引导下的基于结构相似性的虚拟人体图像生成方法、系统及电子设备”，专利号：ZL202010745734.8，申请时间：2020.07.29，授权时间：2022.12.09.
  5. 王乐，周默，周三平，陈仕韬，辛景民，郑南宁，“一种实用相对顺序对抗攻击方法”，专利号：ZL202110998691.9，申请时间：2021.08.27，授权时间：2022.12.09.
  6. 王乐，翟长波，谭昊亮，“一种基于图神经网络的目标辅助的动作识别方法”，专利号：ZL201910817670.5，申请时间：2019.08.30，授权时间：2022.02.11.
  7. 王乐，翟长波，“一种基于图卷积网络的未剪辑视频动作时序定位方法”，专利号：ZL201910575041.6，申请时间：2019.06.28，授权时间：2021.11.19.
  8. 王乐，翟元浩，刘子熠，“一种基于动作连贯性的弱监督时序动作定位方法”，专利号：ZL201910575033.1，申请时间：2019.06.28，授权时间：2021.08.13.
  9. 王乐，丁日智，“一种基于块检测器及特征融合的卷积神经网络的细粒度图像识别方法及系统”，专利号：ZL201910575043.5，申请时间：2019.06.28，授权时间：2021.05.28.
  10. 王乐，刘子熠，郑南宁，“一种基于对比度的弱监督时序动作定位评价方法及系统”，专利号：ZL201910458525.2，申请时间：2019.05.29，授权时间：2021.02.19.
  11. 王乐，康子健，刘子熠，郑南宁，“一种基于非对称多流的动作检测方法”，专利号：ZL201910458481.3，申请时间：2019.05.29，授权时间：2021.01.19.
  12. 吕欣，王乐，郑南宁，“一种基于多层超图模型的多视频目标协同分割方法”，专利号：ZL201810998162.7，申请时间：2018.08.29，授权时间：2020.05.22.
  13. 薛建儒，王乐，高占宁，“一种网络图像自主收集与筛选方法”，专利号：ZL201210336284.2，申请时间：2012.09.12，授权时间：2015.08.05.

Grants/科研项目

代表性科研项目：

  1. 主持, 陕西省自然科学基金杰出青年科学基金项目, 2022/01 - 2024/12.
  2. 主持, 微软亚洲研究院合作研究项目, 2021/07 - 2022/06.
  3. 主持, 国家自然科学基金面上项目, 2020/01 - 2023/12.
  4. 主持, 便利蜂横向合作项目, 2020/01 - 2022/12.
  5. 子课题负责人, 国家重点研发计划项目(科技创新2030-“新一代人工智能”重大项目), 2019/12 - 2022/11.
  6. 子课题负责人, 国家重点研发计划项目(“变革性技术关键科学问题”重点专项), 2018/05 - 2022/04.
  7. 主持, 国家自然科学基金青年科学基金项目, 2016/01 - 2018/12.

Services/学术服务

Associate Editor/期刊编委： 

  • Pattern Recognition Letters
  • 《控制与信息技术》
  • 《智能科学与技术学报》“深度强化学习”专刊

学术组织任职：

  • 中国自动化学会青年工作委员会，副秘书长、委员
  • 中国自动化学会人工智能与机器人教育专业委员会，委员
  • 国家自然科学基金2021-2035中长期发展规划及“十四五”发展规划信息学部三处自动化与人工智能学科编写组，秘书
  • 国家自然科学基金面青地项目，通讯评审人
  • 教育部人工智能专业教学资源建设工作组，成员
  • 陕西省重点研发计划项目，通讯评审人
  • 西安交通大学人工智能学院学术委员会，秘书

Conference and Workshop Chairs:

  • Area Chair, CVPR, 2022
  • Area Chair, ICPR, 2022
  • Area Chair, ICME, 2022
  • Publicity Chair, YAC, 2020, 2021
  • Forum Chair, YAC, 2021
  • Local Arrangement Chair, ICCV, 2025
  • Forum Chair, CCHI, 2019

Senior Program Committee Member:

  • AAAI, 2022

Reviewer for International Journals:

  • 自动化学报, T-PAMI, IJCV, T-IP, T-NNLS, T-YCB, T-MM, T-CSVT, CVIU, IEEE Intelligent Systems, Robotica, CVMJ, IET Computer Vision, MVA, TVCJ, IEEE SPL, IEEE/CAA Journal of Automatica Sinica, Artificial Intelligence Review, etc.
Reviewer for International Conferences:
  • CVPR, ICCV, AAAI, ECCV, ICLR, IJCAI, WACV, ACCV, ICIP, ICPR, ICME, BMVC, PRCV, CCHI, etc.