Xuming He

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Associate Professor

School of Information Science and Technology (SIST)
ShanghaiTech University


Room 1A-221, SIST Building
393 Middle Huaxia Road
Pudong, Shanghai, 201210, China


Phone: +86 21 20685378
Email: hexm at shanghaitech dot edu dot cn


  • [07/2022] Two papers accepted in ECCV 2022.

  • [06/2022] Congratulations to Qiuyue Wang, Haozhe Wang for receiving Master's Degree.

  • [05/2022] One paper accepted in KDD 2022.

  • [05/2022] Congratulations to Songyang Zhang for successfully completing his Phd Degree.

  • [04/2022] One paper accepted in Findings of NAACL 2022.

  • [03/2022] Two papers accepted in CVPR 2022.

  • [02/2022] One paper accepted in ICRA 2022.

Research Interest

  • Weakly-supervised/Few-shot learning

  • Continual learning/Knowledge discovery

  • Semantic segmentation and 3D Scene parsing

  • Vision and language representations

  • Interpretable machine learning and reasoning

Prospective students

  • Prospective graduate students: please check admission website. 学科方向: 计算机科学与技术.

  • We also have multiple research projects (minimal 6 months) for undergrad students in SIST.

Selected Publications

  • Jialei Zhou, Songyang Zhang, Xuming He. Learning Implicit Temporal Alignment for Few-shot Video Classification, International Joint Conference on Artificial Intelligence (IJCAI), 2021

  • Shipeng Yan, Jiangwei Xie, Xuming He. DER: Dynamically Expandable Representation for Class Incremental Learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

  • Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He. Part-aware prototype Network for Few-shot Semantic Segmentation, European Conference of Computer Vision (ECCV), 2020

  • Haozhe Wang, Jiale Zhou, Xuming He. Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020

  • Yongfei Liu*, Bo Wan*, Xiaodan Zhu, Xuming He. Learning Cross-Modal Context Graph for Visual Grounding, AAAI Conference on Artificial Intelligence (AAAI), 2020

  • Bo Wan*, Desen Zhou*, Yongfei Liu, Rongjie Li, Xuming He. Pose-aware Multi-level Feature Network for Human Object Interaction Detection, International Conference on Computer Vision (ICCV), 2019

  • Songyang Zhang, Shipeng Yan, Xuming He. LatentGNN: Learning Efficient Non-local Relations for Visual Recognition, International Conference on Machine Learning (ICML),2019

  • Alexander Mathews, Lexing Xie, Xuming He. SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

  • Zeeshan Hayder, Xuming He, Mathieu Salzmann. Boundary-aware Instance Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

  • Buyu Liu, Xuming He. Multiclass Semantic Video Segmentation With Object-Level Active Inference, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

  • Xuming He, and Richard S. Zemel. Learning Hybrid Models for Image Annotation with Partially Labeled Data, Annual Conference on Neural Information Processing Systems (NIPS), 2008

  • Xuming He, Richard Zemel, and Miguel Carreira-Perpinan. Multiscale Conditional Random Fields for Image Labelling, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004