乐心怡

职称:教授

邮箱:lexinyi@sjtu.edu.cn

地址:电信群楼2号楼

Research Interests


     Xinyi Le, Ph.D., Forbes 30 under 30, Shanghai Science & Technology 35 under 35

     Starting from brain-inspired neural networks, Dr. Le has built a series of methods and tools for demand understanding, model reuse, and software automation based on embodied AI, promoting the efficiency and safety of manufacturing industry.



Education and Working Experience

2016.6~now         Shanghai Jiao Tong University

  • Professor and Ph.D. Supervisor, School of Mechanical Engineering/ School of Electronic Information and Electrical Engineering
  • Served as a PI from 26 years old, supervised 12 graduate students

2012.8~2016.5      The Chinese University of Hong Kong

  • Ph.D., Computational Intelligence Laboratory
  • Supervisor: Professor Jun Wang (International Neural Network Pioneer Award, foreign member of Academia Europaea, IEEE life fellow, IAPR fellow, HK Engineering fellow)

  2011.7~2011.9      The Chinese University of Hong Kong

  •  Junor Research Assistant, Robotics and AI lab
  •  Supervisor: Yangsheng Xu (Academician of the Chinese Academy of Engineering, the President of the Chinese University of Hong Kong, Shenzhen)

2008.8~2012.7      Tsinghua University

  • B.E., Mirco-electrical-mechanical Systems
  • B.S., Mathematics and Applied Mathematics

Awards and Honors

2017 Shanghai Pujiang Talent

2019 Forbes China 30 under 30

2020 Shanghai Rising Star Talent

2022 Young Chief Scientist for National Key R&D Program

2024 Recipient of Excellent Young Scientists Fund

2024 Shanghai Science & Technology 35 under 35

Papers

As the first /corresponding author, Dr. Le has published more than 60 academic papers, with more than 3,600 Google citations and an h-index of 27. Some representative works (# Corresponding Author) are as follows:

[1] J. Wang, Z. Ma, Y. Li, S. Zhang, C. Chen, K. Chen, X. Le#, GTA: A Benchmark for General Tool Agents, NeurIPS 2024.

[2] D. Pang, X. Le#, X. Guan, J. Wang, LFT: Neural ordinary differential equations with learnable final-time, IEEE Transactions on Neural Networks and Learning Systems, vol.35, no.5, pp.6918-6927, 2024.

[3] Z. You, L. Cui, Y. Shen, K. Yang, X. Lu, Y. Zheng, X. Le#, A unified model for multi-class anomaly detection, NeurIPS 2022 spotlight. (Citations: 368)

[4] Y. Wang, H. Wang, Y. Shen, J. Fei, W. Li, G. Jin, L. Wu, R. Zhao, X. Le#, Semi-supervised semantic segmentation using unreliable pseudo-labels, CVPR 2022. (Citations: 582)

[5] Z. Huang, Y. Yu, J. Xu, F. Ni, X. Le#, PF-net: Point fractal network for 3D point cloud completion, CVPR 2020. (Citations: 586)

Services

Associate Editor: IEEE Transactions on Systems, Man, and Cybernetics: Systems

Young Editorial Board Member: IEEE/CAA Journal of Automatica Sinica

Program Chair:  The 18th International Symposium on Neural Networks (ISNN 2024)

Publication Chair:  International Conference on Neural Information Processing (ICONIP 2018, 2020)


Chinese version:https://sais.sjtu.edu.cn/faculty/yuexinyi.html



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