Le Wang, Ph.D.
Professor
Institute of Artificial Intelligence and Robotics
College of Artificial Intelligence
王乐,博士
教授,博导
国家级青年人才计划入选者
陕西省杰青
Le Wang, Ph.D.
Professor
Institute of Artificial Intelligence and Robotics
College of Artificial Intelligence
王乐,博士
教授,博导
国家级青年人才计划入选者
陕西省杰青
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.
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
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
Computer Vision and Pattern Recognition/计算机视觉与模式识别
Deep Learning/深度学习
Hybrid-augmented Intelligence/混合增强智能
Selected Journal Articles:
Selected Conference Papers:
Yabing Wang, Zhuotao Tian, Qingpei Guo, Zheng Qin, Sanping Zhou, Ming Yang, Le Wang*, "Referencing Where to Focus: Improving Visual Grounding with Referential Query", Annual Conference on Neural Information Processing Systems (NeurIPS'2024), Vancouver, Canada, 9-15 December, 2024. (CCF A)
Yabing Wang, Le Wang*, Qiang Zhou, Zhibin Wang, Hao Li, Gang Hua, Wei Tang, "Multimodal LLM Enhanced Cross-lingual Cross-modal Retrieval", ACM International Conference on Multimedia (ACM MM'2024), Melbourne, Australia, 28 October-1 November, 2024. (CCF A)
Haoyue Shi, Le Wang*, Sanping Zhou, Gang Hua, Wei Tang, "Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection", European Conference on Computer Vision (ECCV'2024), Milano, Italy, 29 September-4 October, 2024. (CCF B)
Mengnan Liu, Le Wang*, Sanping Zhou, Kun Xia, Qi Wu, Qilin Zhang, Gang Hua, "Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization", European Conference on Computer Vision (ECCV'2024), Milano, Italy, 29 September-4 October, 2024. (CCF B)
Zheng Qin, Le Wang*, Sanping Zhou, Panpan Fu, Gang Hua, Wei Tang, "Towards Generalizable Multi-Object Tracking", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2024), pp. 18995-19004, Seatel WA, USA, 17-21 June, 2024. (CCF A)
Pengfei Wu, Le Wang*, Sanping Zhou, Gang Hua, Changyin Sun, "Temporal Correlation Vision Transformer for Video Person Re-Identification", AAAI Conference on Artificial Intelligence (AAAI'2024), Vancouver, Canada, 20-27 February, 2024. (CCF A)
Liushuai Shi, Le Wang*, Sanping Zhou, Gang Hua, “Trajectory Unified Transformer for Pedestrian Trajectory Prediction”, IEEE/CVF International Conference on Computer Vision (ICCV'2023), pp. 9675-9684, Paris, France, 2-6 October, 2023. (CCF A)
Yonghao Dong, Le Wang*, Sanping Zhou, Gang Hua, “Sparse Instance Conditioned Multimodal Trajectory Prediction”, IEEE/CVF International Conference on Computer Vision (ICCV'2023), pp. 9763-9772, Paris, France, 2-6 October, 2023. (CCF A)
Kun Xia, Le Wang*, Sanping Zhou, Gang Hua, Wei Tang, “Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization”, IEEE/CVF International Conference on Computer Vision (ICCV'2023), pp. 10160-10169, Paris, France, 2-6 October, 2023. (CCF A)
Xingyu Liu, Sanping Zhou, Le Wang, Gang Hua, “Parallel Attention Interaction Network for Few-Shot Skeleton-based Action Recognition”, IEEE/CVF International Conference on Computer Vision (ICCV'2023), pp. 1379-1388, Paris, France, 2-6 October, 2023. (CCF A)
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), pp. 17939-17948, Vancouver, Canada, 18-22 June, 2023. (CCF A)
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), pp. 20495-20503, Vancouver, Canada, 18-22 June, 2023. (CCF A)
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), pp. 2875-2882, Washington, DC, USA, 7-14 February, 2023. (CCF A)
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)
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)
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)
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)
Issued Patents/授权专利:
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Conference and Workshop Chairs:
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Reviewer for International Journals: