何旭明
副院长、副教授、研究员、博导
博士毕业院校: 加拿大多伦多大学
电话: 021-20685378
办公室: 信息学院1A-221
专业方向: 计算机科学与技术
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研究方向: 计算机视觉、机器学习
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何旭明,信息学院副教授,目前在学院担任助理院长、学位委员会主任。

何旭明博士1998年和2001年于上海交通大学电子工程系获得本科和硕士学位,并于2008年在加拿大多伦多大学计算机系获得博士学位。他从2008到2010在加州大学洛杉矶分校完成了博士后的研究工作。之后,他加入了澳洲国立信息技术研究院(NICTA)成为研究员(2010)并从2013年开始任高级研究员。同时,他还兼任澳洲国立大学的研究员和高级研究员并指导博士生工作。他于2016年12月成为副教授、研究员入职上海科大。他的研究方向包括机器学习,计算机视觉和生物医学信息学。现在的研究课题专注于语义分割,物体检测,三维场景理解,视觉运动分析,结构化模型的高效推理和学习。他已经发表了超过100篇期刊和会议文章,包括CVPR, ICCV, ECCV, AAAI, NIPS, IEEE TIP, IEEE TPAMI, Journal of Vision等。


  • 1. 张松阳*, Zhang, Songyang;, Zhang, Songyang;Li, Zeming;Yan, Shipeng;He, Xuming;Sun, Jian#, Distribution Alignment: A Unified Framework for Long-tail Visual Recognition, IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 2021, Sep 2021,
  • 2. 黄帅一*, Huang, Shuaiyi;He, Xuming;, Huang, Shuaiyi;Wang, Qiuyue;Zhang, Songyang;Yan, Shipeng;He, Xuming#, Dynamic Context Correspondence Network for Semantic Alignment, 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), Oct 2019, 2019-October:2010-2019
  • 3. 颜世鹏*, Yan, Shipeng;, Yan, Shipeng;Xie, Jiangwei;He, Xuming#, DER: Dynamically Expandable Representation for Class Incremental Learning, IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 2021, Sep 2021,
  • 4. 刘永飞*, Xuming He;, Liu YF(刘永飞);Zhang XY(张相宜);Zhang SY(张松阳);Xuming He#, Part-aware Prototype Network for Few-shot Semantic Segmentation, EUROPEAN COMPUTER VISION ASSOCIATION, Jul 2020,
  • 5. 刘永飞*, Liu, Yongfei;He, Xuming;, Liu, Yongfei;Wan, Bo;Zhu, Xiaodan;He, Xuming#, Learning Cross-Modal Context Graph for Visual Grounding, THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34:11645-11652
  • 6. 刘永飞*, Liu, Yongfei;, Liu, Yongfei;Wan, Bo;Ma, Lin;He, Xuming#, Relation-aware Instance Refinement for Weakly Supervised Visual Grounding, IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 2021, Sep 2021,
  • 7. 张松阳*, He XM(何旭明);, Zhang SY(张松阳);Zhou JL(周佳乐);He XM(何旭明)#, Learning Implicit Temporal Alignment for Few-shot Video Classification, THE 30TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, Aug 2021,
  • 8. 张松阳*, He, Xuming;, Zhang, Songyang;Yan, Shipeng;He, Xuming#, LatentGNN: Learning efficient non-local relations for visual recognition, 36TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2019, 2019, 2019-June:12767-12776
  • 9. 李帅霖*, He XM(何旭明);, Li SL(李帅霖);Gao ZT(郜之桐);He XM(何旭明)#, Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation, IN MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION SOCIETY 2021, Jun 2021,
  • 10. 刘永飞*, Xuming He;, Yongfei Liu;Bo Wan;Xiaodan Zhu;Xuming He#, Learning Cross-modal Context Graph for Visual Grounding, THE THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-20), 2020,
  • 11. 李荣颉*, Wan, Bo;, Li, Rongjie;Zhang, Songyang;Wan, Bo;He, Xuming#, Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation, IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION 2021, Sep 2021,
  • 12. 万博*, Wan, Bo;, Wan, Bo;Zhou, Desen;Liu, Yongfei;Li, Rongjie;He, Xuming#, Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection, 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), Oct 2019, 2019-October:9468-9477