Shizhe Hu (胡世哲)  

  PhD, Associate Research Fellow

    
  School of Computer and Artificial Intelligence
  Zhengzhou University, Zhengzhou China


  WeChat ID (微信号): hushizhe_zzu 


  E-mail: ieshizhehu@zzu.edu.cn 

 

  Links: [GoogleScholar][DBLP][Github]
picture
   

Biography

I am currently an associate research fellow in the School of Computer and Artificial Intelligence, Zhengzhou University. I received the PhD degree advised by Pro. Yang-Dong Ye from Zhengzhou university in 2021. I received the B.S. degree from Zhengzhou university, China, in 2015.


                                  More Information Can be Found at [here].


News

  • 2024.02.05 One paper is accepted by top journal IEEE TPAMI（CCF A）.

  • 2024.01.12 One paper is accepted by top journal IEEE TNNLS (CCF B)

  • 2023.07.17 One paper is accepted by top journal IEEE TIP (CCF A).

  • 2023.01.17 One paper is accepted by top journal IEEE TNNLS (CCF B).

  • 2022.09.08 I am awarded a grant from NSFC for Youth Fund starting from 2023.

  • 2022.06.30 One paper is accepted by top conference ACM MM (CCF A).

  • 2022.02.25 I am invited as Invited Speaker to attend PRAI 2022.[Link]

  • 2021.12.24 I am invited to be a member of "The BAAI Young Scientist Association"(Qingyuan Club).

  • 2021.11.04 One paper is accepted by top journal IEEE TIP (CCF A).

  • 2020.09.17 One paper is accepted by top journal IEEE TCYB (CCF B).

  • 2019.08.13 One paper is accepted by top journal IEEE TKDE (CCF A).

  • 2017.07.21 One paper is accepted by top conference IEEE CVPR (CCF A).


Research Interests

Information Bottleneck Theory, Computer Vision, Pattern Recognition, Machine Learning.    
   

Fundings

    [国家自然科学基金]

    信息瓶颈理论驱动的自监督多视角聚类方法研究 （62206254），国家自然科学青年基金项目，30万，2023-2025，主持.

    图传播IB方法的模型及传播机制研究（62176239）, 国家自然科学基金项目，58万，2022-2025，课题骨干.

    传播IB方法的研究（61772475），国家自然科学基金项目，62万，2018-2021，课题骨干.

      [国家重点研发计划“先进轨道交通”重点专项]

      高速铁路成网条件下铁路综合效能与服务水平提升技术（2018YFB1201403），国家重点研发计划专项，221万，2018-2020，参与者

    [河南省科技攻关计划项目]

    沉浸式智能电网巡检监控中定位与建图关键技术研究（172102210011），河南省科技攻关计划项目，10万，2016-2018，参与者


Publications (*means corresponding author)

[Journal]

  • Shizhe Hu, Zhengzheng Lou, Xiaoqiang Yan, and Yangdong Ye: A Survey on Information Bottleneck. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2024.[PDF]

  • Shizhe Hu, Chengkun Zhang, Guoliang Zou, Zhengzheng Lou, and Yangdong Ye: Deep Multi-view Clustering by Pseudo-label Guided Contrastive Learning and Dual Correlation Learning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Accepted, 2024. [PDF] [Code]

  • Chaoyang Zhang, Zhengzheng Lou, Qinglei Zhou and Shizhe Hu*: Multi-View Clustering via Triplex Information Maximization. IEEE Transactions on Image Processing (TIP). Accepted, 2023. [PDF]

  • Shizhe Hu, Guoliang Zou, Chaoyang Zhang, Zhengzheng Lou, Ruilin Geng and Yangdong Ye*: Joint Contrastive Triple-learning for Deep Multi-view Clustering. Information Processing and Management (IPM). Accepted, 2023.[PDF] [Code]

  • Shizhe Hu, Zenglin Shi, Xiaoqiang Yan, Zhengzheng Lou, and Yangdong Ye*: Multi-view Clustering with Propagating Information Bottleneck. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Accepted, 2023. [PDF]

  • Shizhe Hu, Zhengzheng Lou, and Yangdong Ye*: View-wise Versus Cluster-wise Weight: Which Is Better for Multi-view Clustering?. IEEE Transactions on Image Processing (TIP). 31: 58-71, 2022.[PDF]

  • Shizhe Hu, Ruobin Wang, and Yangdong Ye*: Interactive Information Bottleneck for High-dimensional Co-occurrence Data Clustering. Applied Soft Computing. 111: 107837, 2021.[PDF]

  • Shizhe Hu, Bo Wang, Zhengzheng Lou, Yangdong Ye*: Multi-view Content-Context Information Bottleneck for Image Clustering. Expert Systems With Applications. 183:115374, 2021.[PDF]

  • Shizhe Hu, Zenglin Shi, Yangdong Ye*: DMIB: Dual-correlated Multivariate Information Bottleneck for Multi-view Clustering. IEEE Transactions on Cybernetics (IEEE TCYB).52(6): 4260-4274, 2022. [PDF]

  • Shizhe Hu, Xiaoqiang Yan, Yangdong Ye*: Joint Specific and Correlated Information Exploration for Multi-view Action Clustering. Information Sciences. 524: 148-164, 2020. [PDF]

  • Shizhe Hu, Xiaoqiang Yan, Yangdong Ye*: Dynamic Auto-weighted Multi-view Co-clustering. Pattern Recognition (PR). (99) 2020. [PDF]

  • Shizhe Hu, Xiaoqiang Yan, Yangdong Ye*: Multi-task Image Clustering through Correlation Propagation. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE). 33(3): 1113-1127, 2021. [PDF]

  • Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye*, and Hui Yu*: Deep Multi-view Learning Methods: A Review. Neurocomputing. 2021, Accepted.[PDF]

  • Qiang Guo, Xin Zeng, Shizhe Hu, Sonephet Phoummixay and Yangdong Ye*: Learning a Deep Network with Cross-hierarchy Aggregation for Crowd Counting. Knowledge-Based Systems. (213) 2020.[PDF]

  • Mingming Zhang, Xiaoqiang Yan, Shizhe Hu, Yangdong Ye*: An Information Maximization Multi-task Clustering Method for Egocentric Temporal Segmentation. Applied Soft Computing. (94) 2020. [PDF]

  • Xiaoqiang Yan, Zhengzheng Lou, Shizhe Hu, Yangdong Ye*: Multi-task information bottleneck co-clustering for unsupervised cross-view human action categorization. ACM Transactions on Knowledge Discovery from Data (ACM TKDD). 2020, 14(2):1-23. [PDF]

  • Xin Zeng, Yunpeng Wu, Shizhe Hu, Ruobin Wang, Yangdong Ye*: DSPNet: Deep Scale Purifier Network for Dense Crowd Counting. Expert Systems With Applications. (141) 2020. [PDF]

[Conference]

  • Shizhe Hu, Ruilin Geng, Zhaoxu Cheng, Chaoyang Zhang, Guoliang Zou, Zhengzheng Lou, Yangdong Ye*: A Parameter-free Multi-view Information Bottleneck Clustering Method by Cross-view Weighting. ACM Inter. Conf. Multimedia (ACM MM), 2022, 3792-3800. [PDF]

  • Shizhe Hu, Zhenquan Hou, Zhengzheng Lou, Yangdong Ye*: Content VS Context: How about "Walking Hand-In-Hand" for Image Clustering. IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP). 2020, 3707-3711. [PDF]

  • Xin Zeng, Shizhe Hu, Huake Wang and Jinna Zhang: Joint Contextual Transformer and Multi-scale Information Shared Network for Crowd Counting. International Conference on Pattern Recognition and Artificial Intelligence (PRAI), 2022, Accepted.

  • Xiaoqiang Yan, Yiqiao Mao, Shizhe Hu, Yangdong Ye*: Heterogeneous Dual-Task Clustering with Visual-Textual Information. SIAM International Conference on Data Mining (SDM). 2020, 658-666. [PDF]

  • Xiaoqiang Yan, Shizhe Hu, Yangdong Ye*: Multi-task Clustering of Human Actions by Sharing Information. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR). 2017, 4049-4057. [PDF]

[Chinese Journal]

  • 胡世哲，娄铮铮，王若彬，闫小强，叶阳东*: 一种双重加权的多视角聚类方法. 计算机学报，2020，43(9), 1708-1720.[PDF]

  • 鲁博仁，胡世哲，娄铮铮*，叶阳东: 面向铁路文本分类的字符级特征提取方法. 计算机科学，2020，已录用.


Academic Activities

  • Invited Speaker: PRAI 2022.

  • Programme Committee in the Conference: CVPR'22/23, ACMMM'23/24, ICML'24, AAAI'21/22/23/24, IJCAI'22/23/24, ECCV'22/24, ICDM'22/23, CCDM'22, PRCV'22/23/24, PRAI'22/23.

  • Reviewer for Journals: IEEE TKDE, IEEE TIP, IEEE TNNLS, IEEE TMM, Acta Automatica Sinica, Information Processing & Management.

  • Member: CCF Member/IEEE Member/ACM Member/BAAI-青源会成员.


Awards and Honors

  • ACM Outstanding Ph.D. Dissertation Award, ACM Zhengzhou, 2021.

  • Second Prize of Natural Science Award of Henan Province for paper "Dynamic Auto-weighted Multi-view Co-clustering" (河南省自然科学学术二等奖), Henan Province, 2021. [Link]

  • Excellent Doctoral Dissertation (优秀博士学位论文), Zhengzhou University, 2021. [Link]

  • Excellent Graduate of Henan Province (河南省优秀应届毕业生), Department of Education of Henan Province, 2015、2021.

  • Best Paper Award in the 15th Forum of Postgraduates（第十五届研究生学术论坛“最佳论文奖”），Zhengzhou University, 2021.

  • Young Example Graduate Student（“郑青春·研途风采”青年榜样研究生）, Zhengzhou University, 2020.

  • Outstanding Achievement Award（研究生优秀成果奖）, Zhengzhou University, 2020.

  • National Scholarship for Ph.D. Candidates（博士生国家奖学金）, Ministry of Education of the People's Republic of China, 2020.

  • Outstanding Young Volunteer (优秀青年志愿者), School of Information Engineering of Zhengzhou University, 2016.

  • National Scholarship for Undergraduates（本科生国家奖学金）, Ministry of Education of the People's Republic of China, 2013.


Master Students

  • Chengkun Zhang (2022~2025), Co-supervision with Prof. Yangdong Ye.

  • Hang Xue (2022~2025), Co-supervision with Prof. Zhengzheng Lou.

  • Guoliang Zou (2020~2023), Co-supervision with Prof. Yangdong Ye.

  • Ruilin Geng (2020~2023), Co-supervision with Prof. Yangdong Ye.