2018 - Present, Xi'an Jiaotong University, Xi'an, Shaanxi, China

      Associate Professor, Institute of Artificial Intelligence and Robotics

2014 - 2018, Xi'an Jiaotong University, Xi'an, Shaanxi, China

      Assistant Professor, Institute of Artificial Intelligence and Robotics

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

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

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

• Notes 1: 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.
• Notes 2: "*" indicates the corresponding author.
• Notes 3: IEEE T-PAMI is considerred to be the top one computer vision journal and has very high journal impact factor that a ranked among Top 3 in all Computer Science Journals (nearly 100).
• Notes 4: ICCV, CVPR, and ECCV are considered to be the top three major computer vision conferences with highly competitive overall acceptance rate ~25% and <5% acceptance for oral presentation.
• Notes 5: AAAI is considered to be one of the top Artificial Intelligence conferences with highly competitive overall acceptance rate ~25% and <5% acceptance for oral presentation.

Selected Journal Articles:

1. 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), 2021. (Accept)
2. Sanping Zhou, Jinjun Wang, Jun Shu, Deyu Meng, Le Wang, and Nanning Zheng, "Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification", IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2021. (In press)
3. 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.
4. Le Wang*, Changbo Zhai, Qilin Zhang, Wei Tang, Nanning Zheng, and Gang Hua, "Graph-based Temporal Action Co-Localization from an Untrimmed Video", Neurocomputing, Vol. 434, pp. 211-223, 2021.
5. Sanping Zhou, Jinjun Wang, Le Wang, Jimuyang Zhang, Fei Wang, Dong Huang, and Nanning Zheng, "Hierarchical and Interactive Refinement Network for Edge-Preserving Salient Object Detection", IEEE Transactions on Image Processing (T-IP), Vol. 30, pp. 1-14, 2021.
6. 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), 2020. (In press)
7. Sanping Zhou, Jinjun Wang, Jimuyang Zhang, Le Wang, Dong Huang, Shaoyi Du, and Nanning Zheng, "Hierarchical U-shape Attention Network for Salient Object Detection", IEEE Transactions on Image Processing (T-IP), Vol. 29, pp. 8417-8428, 2020.
8. Chi Zhang, Yu Liu, Le Wang, Yuehu Liu, Li Li, and Nanning Zheng, "Joint Intelligence Ranking by Federated Multiplicative Update", IEEE Intelligent Systems, Vol. 35, Issue 4, pp. 15-24, July/August, 2020.
9. 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.
10. 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.
11. Zhenxing Niu, Gang Hua, Le Wang, and Xinbo Gao, "Knowledge Based Topic Model for Unsupervised Object Discovery and Localization", IEEE Transactions on Image Processing (T-IP), Vol. 27, Issue 1, pp. 50-63, January, 2018.
12. 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.
13. 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.
14. 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)

Conference Papers:

1. Liushuai Shi, Le Wang*, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, and Gang Hua, "SGCN: Sparse Graph Convolution for Pedestrian Trajectory Prediction", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'2021), Long Nashville, TN, 19-25 June, 2021. (Accept)
2. 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), Van Couver, Canada, 2-9 February, 2021. (Accept)
3. 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), Van Couver, Canada, 2-9 February, 2021. (Accept)
4. Benyi Hu, Chi Zhang, Le Wang, Qilin Zhang, and Yuehu Liu, "Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion", Asian Conference on Computer Vision (ACCV'2020), Kyoto, Japan, 30 November-4 December, 2020.
5. Biyao Shang, Chi Zhang, Yuehu Liu, Le Wang, and Li Li, "Predicting the Post-hoc Association between Bi-level Attributes and Black-boxed Visual Perception", The 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC'2020), Zhanjiang, China, 16-18 October, 2020.
6. Haoyue Shi, Le Wang*, Wei Tang, Nanning Zheng, and Gang Hua, "Loss Functions for Person Image Generation", British Machine Vision Conference (BMVC'2020), Manchester, UK, 7-11 September, 2020.
7. Zhiming Zou, Kenkun Liu, Le Wang, and Wei Tang, "High-order Graph Convolutional Networks for 3D Human Pose Estimation", British Machine Vision Conference (BMVC'2020), Manchester, UK, 7-11 September, 2020.
8. 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)
9. 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.
10. Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, and Wei Tang, "A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation", European Conference on Computer Vision (ECCV'2020), pp. 318-334, Glasgo, Scotland, UK, 23-28 August, 2020.
11. Jixin Wang, Sanping Zhou, Chaowei Fang, Le Wang, and Jinjun Wang, "Meta Corrupted Pixels Mining for Medical Image Segmentation", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'2020), pp. 335-345, Lima, Peru, 4-8 October, 2020.
12. Chuan Wu, Yaochen Li, Ling Li, Le Wang, and Yuehu Liu, "Caption Generation from Road Images for Traffic Scene Construction", IEEE Intelligent Vehicles Symposium (IV'2020), Las Vegas, NV, USA, 23-26 June, 2020.
13. Liheng Xu, Chi Zhang, Yuehu Liu, Le Wang, and Li Li, "Worst Perception Scenario Search for Autonomous Driving", IEEE Intelligent Vehicles Symposium (IV'2020), Las Vegas, NV, USA, 23-26 June, 2020.
14. Xinling Liu, Le Wang*, Qilin Zhang, Nanning Zheng, and Gang Hua, "Joint Multi-Object Detection and Segmentation from an Untrimmed Video",  IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI'2020), pp. 317-329, Halkidiki, Greece, 5-7 June, 2020. (Oral Presentation)
15. Rizhi Ding, Le Wang*, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Fine-grained Giant Panda Identification", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'2020), pp. 2108-2112, Barcelona, Spain, 4-8 May, 2020.
16. 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.
17. Changbo Zhai, Le Wang*, Qilin Zhang, Zhanning Gao, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Action Co-Localization in an Untrimmed Video by Graph Neural Networks", International Conference on Multimedia Modeling (MMM'2020), pp. 555-567, Daejeon, Korea, 5-8 January, 2020.
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", International Conference on Computer Vision (ICCV'2019), pp. 3899-3908, Seoul, Korea, 27 October-2 November, 2019.
19. Yuanhao Zhai, Le Wang*, Ziyi Liu, Qilin Zhang, Gang Hua, and Nanning Zheng, "Action Coherence Network for Weakly Supervised Temporal Action Localization", IEEE International Conference on Image Processing (ICIP'2019), pp. 918-922, Taipei, Taiwan, 22-25 September, 2019. (Oral Presentation)
20. Haoliang Tan, Le Wang*, Qilin Zhang, Zhanning Gao, Nanning Zheng, and Gang Hua, "Object Affordances Graph Network for Action Recognition", British Machine Vision Conference (BMVC'2019), Cardiff, UK, 9-12 September, 2019. (Spotlight Presentation)
21. Yu Liu, Chi Zhang, Yuehu Liu, Le Wang, Li Li, and Nanning Zheng, "Joint Intelligence Ranking by Federated Gradient Descent", The 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML'2019) in conjunction with International Joint Conference on Artificial Intelligence (IJCAI'2019), Macau, China, 12 Auguast, 2019.
22. Jin Li, Xuguang Lan, Yang Liu, Le Wang, and Nanning Zheng, "Compressing Unknown Classes with Product Quantizer for Efficient Zero-Shot Classification", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'2019), pp. 5463-5472, Long Beach, CA, 16-20 June, 2019.
23. Xiao Wu, Yaochen Li, Yuehu Liu, Shanmin Pang, Le Wang, Chuan Wu, and Huihui Huo, "Jointly Detecting and Retrieving Vehicles from Road Image Sequences based on CNN", IEEE Intelligent Vehicles Symposium (IV'2019), pp. 2530-2535, Paris, France, 9-12 June, 2019.
24. Zijian Kang, Le Wang*, Ziyi Liu, Qilin Zhang, and Nanning Zheng, "Extracting Action Sensitive Features to Facilitate Weakly-supervised Action Localization", IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI'2019), pp. 188-201, Crete, Greece, 24-26 May, 2019. (Oral Presentation)
25. 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)
26. Xin Lv, Le Wang*, Qilin Zhang, Nanning Zheng, and Gang Hua, "Video Object Co-segmentation from Noisy Videos by a Multi-level Hypergraph Model", IEEE International Conference on Image Processing (ICIP'2018), pp. 2207 - 2211, Athens, Greece, 7-10 October, 2018.
27. Xuhuan Duan, Le Wang*, Changbo Zhai, Qilin Zhang, Zhenxing Niu, Nanning Zheng, and Gang Hua, "Joint Spatio-temporal Action Localization in Untrimmed Videos with Per-frame Segmentation", IEEE International Conference on Image Processing (ICIP'2018), pp. 918-922, Athens, Greece, 7-10 October, 2018. (Oral Presentation)
28. Jinliang Zang, Le Wang*, Ziyi Liu, Qilin Zhang, Gang Hua, and Nanning Zheng, "Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition", IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI'2018), pp. 97-108, Rhodes, Greece, 25-27 May, 2018. (Oral Presentation)
29. Ziyi Liu, Le Wang*, and Nanning Zheng, "Content-Aware Attention Network for Action Recognition", IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI'2018), pp. 109-120, Rhodes, Greece, 25-27 May, 2018. (Oral Presentation)
30. Chi Zhang, Yuehu Liu, Qilin Zhang, and Le Wang, "A Graded Offline Evaluation Framework for Intelligent Vehicle's Cognitive Ability", IEEE Intelligent Vehicles Symposium (IV'2018), pp. 320-325, Changshu, China, 26-29 June, 2018. (Oral Presentation)
31. Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, and Gang Hua, "Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding",  International Conference on Computer Vision (ICCV'2017), pp. 1899-1907, Venice, Italy, 22-29 October, 2017.
32. Zhanning Gao, Gang Hua, Dongqing Zhang, Nebojsa Jojic, Le Wang, Jianru Xue, and Nanning Zheng, "ER3: A Unified Framework for Event Retrieval, Recognition and Recounting", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'2017), pp. 2107-2116, Honolulu, Hawaii, 21-26 July, 2017.
33. Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, and Gang Hua, "Ordinal Regression with Multiple Output CNN for Age Estimation", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'2016), pp. 4920-4928, Las Vegas, NV, 26 June-1 July, 2016.
34. 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]
35. Le Wang, Jianru Xue, Nanning Zheng, and Gang Hua, "Concurrent Segmentation of Categorized Objects from an Image Collection", IAPR International Conference on Pattern Recognition (ICPR'2012), pp. 3309-3312, Tsukuba, Japan, 11-15 November, 2012. (Oral Presentation)
36. 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]
37. Shanmin Pang, Jianru Xue, Le Wang, and Nanning Zheng, "Large-Scale Bundle Adjustment by Parameter Vector Partition", Asian Conference on Computer Vision (ACCV'2012), pp. 26-39, Daejeon, Korea, 5-9 November, 2012. (Best Application Paper Award, Oral Presentation)
38. Ce Li, Jianru Xue, Xuguang Lan, Miao Hui, Le Wang, and Nanning Zheng, "Multi-regions in the Scalable Video Coding Method", International Congress on Image and Signal Processing (CISP'2010), Yantai, China, 16-18 October, 2010.

Issued Patents/授权专利：

1. 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.
2. 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.
3. 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.
4. 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.

Patents Pending/申请专利：

1. 王乐，石刘帅，郑南宁，“一种基于趋势引导与稀疏交互的行人轨迹预测方法及系统”，申请号：202011092613.4，申请时间：2020.10.13.
2. 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”，申请号：202010745734.8，申请时间：2020.07.29.
3. 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”，申请号：202010614973.X，申请时间：2020.06.30.
4. 王乐，刘信伶，“一种视频多目标关联与分割方法及系统”，申请号：202010318375.8，申请时间：2020.04.21.
5. 王乐，师皓玥，臧津樑，“一种用于行为识别的虚拟视频数据生成方法”，申请号：201910945140.9，申请时间：2019.09.30.
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”，申请号：201910817670.5，申请时间：2019.08.30.
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”，申请号：201910575041.6，申请时间：2019.06.28.
8. 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”，申请号：201910575043.5，申请时间：2019.06.28.
9. 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”，申请号：201910575033.1，申请时间：2019.06.28.
10. 王乐，刘子熠，郑南宁，“一种基于耦合动态马尔科夫网络的视频目标发现与分割方法”，申请号：201810865881.1，申请时间：2018.08.01.