Xiangbo Shu

Xiangbo Shu

I am currently a Professor in Intelligent Media Analysis Group (IMAG), at School of Computer Science and Engineering, Nanjing University of Science and Technology, China. I received the Ph.D. degree from School of Computer Science and Engineering, Nanjing University of Science and Technology, China, under the supervisor Prof. Jinhui Tang, a leader professor of Intelligent Media Analysis Group (IMAG). Previously, I am also an visiting scholar supervised by Prof. Shuicheng Yan in Learning and Vision Research Group at the Department of Electrical and Computer Engineering, National University of Singapore. I am and the CCF Senior Member, and ACM Member, and IEEE Senior Member.

Researh Interests

Video understanding, Action analysis, and related human-centric problems in Computer Vision and Multimedia.


*Positions for Interns/Master/PhD's Programme*
We are looking for students, who are self-motivated and have a solid foundation in mathematics and programming. Please feel free to drop me an email (shuxb@njust.edu.cn) if you are interested.

Selected Publications

Xiangbo Shu, Binqian Xu, Liyan Zhang, Jinhui Tang. Multi-Granularity Anchor-Contrastive Representation Learning for Semi-supervised Skeleton-based Action Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. (ESI Highly Cited Paper) [PDF-Link] [Code-Link]

Jinhui Tang, Xiangbo Shu*, Rui Yan, and Liyan Zhang. Coherence Constrained Graph LSTM for Group Activity Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (ESI Highly Cited Paper), (ESI Hot Paper) [PDF-Link]

Xiangbo Shu, Liyan Zhang*, Guo-Jun Qi, Wei Liu, and Jinhui Tang. Spatiotemporal co-attention recurrent neural networks for human-skeleton motion prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (ESI Highly Cited Paper) [PDF-Link]

Xiangbo Shu, Liyan Zhang, Yunlian Sun, and Jinhui Tang. Host-Parasite: Graph LSTM-In-LSTM for Group Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021. (ESI Highly Cited Paper) [PDF-Link]

Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, and Jian Yang. Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition. IEEE Transacti on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (ESI Highly Cited Paper), (ESI Hot Paper) [PDF-Link]

Jinhui Tang, Xiangbo Shu, Zechao Li, Yu-Gang Jiang, Qi Tian. Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging. IEEE Transactions on Pattern Analysis and Machine Intelligenc (TPAMI), 2019. [PDF-Link]

Xiangbo Shu, Jinhui Tang, Zechao Li, Hanjiang Lai, Liyan Zhang, and Shuicheng Yan. Personalized Age Progression with Bi-level Aging Dictionary Learning. IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), 2018. [PDF-Link]

Xiangbo Shu, Liyan Zhang, Jinhui Tang, Guo-Sen Xie, Shuicheng Yan. Computational Face Reader. MultiMedia Modeling (MMM), 2016. (Best Student Paper) [PDF-Link]

Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, Jingdong Wang. Weekly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation. ACM Multimedia (MM), 2015. (Best Paper Candidate) [PDF-Link]

Xiangbo Shu, Jinhui Tang, Hanjiang Lai, Luoqi Liu, Shuicheng Yan. Personalized Age Progression with Aging Dictionary. IEEE International Conference on Computer Vision (ICCV), 2015. [PDF-Link]

For more papers, please kindly refer to my Google Scholar page.

Honors and Awards

  • 2022 Distinguished Reviewer of IEEE TMI
  • 2022 Outstanding Reviewer of IEEE TNNLS
  • 2022 National Science Fund for Excellent Young Scholars by NSFC (国家优秀青年基金)
  • 2021 Jiangsu Province Science Fund for Outstanding Young Scholars (江苏省杰出青年科学基金)
  • 2017 CCF-Tencent Open Fund
  • 2017 Excellent Doctoral Dissertation of CAAI (中国人工智能学会优博)
  • 2017 Excellent Doctoral Dissertation of Jiangsu Province, China
  • 2017 Excellent Doctoral Dissertation of Jiangsu Computer Society, China
  • 2017 Excellent Doctoral Dissertation of Nanjing University of Science and Technology, China
  • 2016 Best Student Paper in MMM 2016
  • 2015 Best Paper Runner-up in ACM Multimedia 2015
  • 2015 China National Scholarship
  • 2015 ACM MM 2015 Travel Grant

Teaching

  • 2019-now, Fundamentals of Multimedia Computing, for Postgraduate.
  • 2016-now, Technology of Multimedia Computing, for Undergraduate.
  • 2019-now, Introduction to Computers, for Undergraduate.

Team

  • Current Member:
    • Ph.D. Candidates (2020-now): Peng Huang
    • Ph.D. Candidates (2021-now): Binqian Xu
    • Ph.D. Candidates (2022-now): Guangzhao Dai
    • Ph.D. Candidates (2023-now): Pengpeng Li, Meiqi Cao
    • M.S. Candidates (2021-now): Keke Chen, Zhewei Tu
    • M.S. Candidates (2022-now): Hailiang Gao, Wei Liu, Yunguo Ma
    • M.S. Candidates (2023-now): Jinjin Gong, Luying Peng, Hongyu Qu, Yumeng Su
  • Alumni:
    • Ph.D. Candidates (2013-2020): Mengyin Wang
    • Ph.D. Candidates (2017-2022): Rui Yan
    • M.S. Candidates (2018-2021): Chenglong Shi, Ruipeng Zhang
    • M.S. Candidates (2019-2022): Jing Ding, Boning Li, Qian Jiang, Xiangyu Zhao
    • M.S. Candidates (2021-2023): Jiawen Yang, Yafei Cui

Academic Service

  • Associate Editors:
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • Information Sciences
    • Visual Computer
  • (Senior) Program Committee Member:
    • Computer Vision and Pattern Recognition (CVPR)
    • International Conference on Computer Vision (ICCV)
    • ACM International Conference on Multimedia (ACM MM)
    • Neural Information Processing Systems (NeurIPS)
    • AAAI Conference on Artificial Intelligence (AAAI)
    • International Joint Conference on Artificial Intelligence (IJCAI)
    • International Conference on Multimedia and Expo (ICME)
  • Reviewer for Journals:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • International Journal of Computer Vision (IJCV)
    • IEEE Transactions on Image Processing (TIP)
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • ACM Transactions on Knowledge Discovery from Data (TKDD)
    • IEEE Transactions on Knowledge and Data Engineering (TKDE)
    • IEEE Transactions on Multimedia (TMM)
    • IEEE Transactions on Medical Imaging (TMI)
    • IEEE Transactions on Information Forensics and Security (TIFS)
    • IEEE Transactions on Big Data (TBD)
    • ACM Transactions on Intelligent Systems and Technology (TIST)
    • ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
    • IEEE Transactions on Visualization and Computer Graphics (TVCG)
    • Pattern Recognition
    • Neural Networks
    • Information Sciences
    • Pattern Analysis and Applications
    • Multimedia Tools and Applications
    • Pattern Recognition Letters
    • Multimedia Systems