Xuming He
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Associate Professor
PLUS Lab
School of Information Science and Technology (SIST)
ShanghaiTech University
Address
Room 1A-221, SIST Building
393 Middle Huaxia Road
Pudong, Shanghai, 201210, China
Contact
Phone: +86 21 20685378
Email: hexm at shanghaitech dot edu dot cn or xmhe dot pluslab at google mail
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Prospective students
We are looking for prospective graduate students for 2025. You must contact me via email if you are interested in joining in my lab. 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.
We are looking for a long-term research assistant (科研助理). Contact us via email if interested.
News
[12/2024] One paper on open-vocabulary scene graph generation accepted in AAAI 2025.
[11/2024] One paper on object grasping accepted in 3DV 2025.
[09/2024] One paper on OOD semantic segmentation accepted in NeurIPS 2024.
[07/2024] One paper on novel class discovery accepted in ECCV 2024.
Research Interest
Open-world scene understanding
Multi-modal learning and reasoning
Continual learning and knowledge discovery
Explainable artificial intelligence
Selected Recent Publications
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts, [Arxiv]
Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
Advances in Neural Information Processing Systems (NeurIPS), 2024
Machine Learning on Microstructure–Property Relationship of Lithium-Ion Conducting Oxide Solid Electrolytes, [ACS Web]
Yue Zhang, Xiaoyu Lin, Wenbo Zhai, Yanran Shen, Shaojie Chen, Yining Zhang, Yi Yu, Xuming He, Wei Liu
Nano Lett., 2024, 24, 17, 5292–5300
From Pixels to Graphs: Open-Vocabulary Scene Graph Generation with Vision-Language Models, [Arxiv]
Rongjie Li*, Songyang Zhang*, Dahua Lin, Kai Chen, Xuming He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning, [Arxiv]
Rongjie Li*, Yu Wu*, Xuming He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
SGTR+: End-to-end Scene Graph Generation with Transformer, [Arxiv]
Rongjie Li, Songyang Zhang, Xuming He
IEEE Transactions on Pattern Analysis and Machine Intelligence, Preprint, 2023
Class-relation Knowledge Distillation for Novel Class Discovery, [Arxiv]
Peiyan Gu, Chuyu Zhang, Ruiji Xu, Xuming He
International Conference on Computer Vision (ICCV), 2023
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts, [Arxiv]
Zhitong Gao, Yucong Chen, Chuyu Zhang, Xuming He
International Conference on Learning Representation (ICLR), 2023
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning, [Arxiv]
Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He
International Conference on Learning Representation (ICLR), 2023
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition, [Arxiv]
Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
DER: Dynamically Expandable Representation for Class Incremental Learning, [Arxiv]
Shipeng Yan, Jiangwei Xie, Xuming He
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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