My name is Zhihan Zhang (张智涵). I am an incoming Ph.D. candidate in Computer Science and Engineering at the University of Notre Dame, advised by Dr. Meng Jiang. I am currently a member of Dr. Jiang's Data Mining towards Decision Making (DM2) Lab. Before that, I received my Bachelor degree in Computer Science and Technology at Peking University in July 2020.

My research interests fall primarily in the area of natural language processing and data mining, with a particular passion in using techniques from NLP and deep learning to solve real-world problems. My past research projects span across the fields of natural language generation, machine reading comprehension, multi-modal learning of language and vision, biomedical text mining, etc. For more details about my past experience, please kindly refer to my CV.


  • Jan 2021: One first-authored paper on procedural text understanding was accepted by TheWebConf 2021, with an acceptance rate of 20.6%.
  • Oct 2020: One co-authored paper on meta-embedding learning was accepted by Information Sciences.
  • Aug 2020: Co-authored paper "Learning Attribute-Structure Co-Evolutions in Dynamic Graphs" won the best paper award of KDD-DLG 2020. Congratulations to Daheng and all co-authors!
  • Jul 2020: One first-authored paper on automatic video commenting was accepted by NLPCC 2020, with an acceptance rate of 22.0%.
  • Jul 2020: One co-authored paper on evolutional graph representation learning was accepted by KDD-DLG 2020.
  • Apr 2020: I am offered admission to the PhD program in Computer Science and Engineering at the University of Notre Dame. My advisor will be Dr. Meng Jiang.


University of Notre Dame, From Jan 2021
Notre Dame, Indiana, United States
  • Doctor of Philosophy
  • Department of Computer Science and Engineering
  • Major: Computer Science and Engineering
  • Advisor: Dr. Meng Jiang
Peking University, Sept 2016 - Jul 2020
Beijing, China
  • Bachelor of Science
  • School of Electronic Engineering and Computer Science
  • Major: Computer Science and Technology
  • Advisor: Dr. Xu Sun, Dr. Yunfang Wu


Microsoft Search Technology Center Asia, Nov 2019 - Sept 2020
Beijing, China
  • Full-time Research Intern
  • Natural Language Processing Group
  • Advisor: Dr. Xiubo Geng
  • Research: knowledge-enhanced reading comprehension & dialogue
University of Notre Dame, Jul 2019 - Aug 2019
Notre Dame, Indiana, United States
  • Full-time Research Assistant
  • International Summer Undergraduate Research Experience (iSURE) program (What is iSURE?)
  • Advisor: Dr. Meng Jiang
  • Research: biomedical text retrieval
Peking University, Jul 2018 - Jun 2019
Beijing, China
  • Research Assistant
  • Ministry of Education Key Laboratory of Computational Linguistics
  • Advisor: Dr. Xu Sun
  • Research: multi-modal language generation


( * means equal contribution)

  • [6] Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu and Daxin Jiang. Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. In Proceedings of The Web Conference (WWW), 2021. [paper]
  • [5] Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang and Heyan Huang. Domain-Specific Meta-Embedding with Latent Semantic Structures. In Information Sciences, 2020. [paper]
  • [4] Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li and Shicheng Li. DCA: Diversified Co-Attention towards Informative Live Video Commenting. In CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2020. [paper]
  • [3] Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla and Meng Jiang. Learning Attribute-Structure Co-Evolutions in Dynamic Graphs. In KDD Workshop on Deep Learning on Graphs: Methods and Applications (KDD-DLG), 2020. (Best Paper Award) [paper]
  • [2] Tianwen Jiang*, Zhihan Zhang*, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla and Meng Jiang. CTGA: Graph-based Biomedical Literature Search. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. [paper]
  • [1] Pengcheng Yang*, Zhihan Zhang*, Fuli Luo, Lei Li, Chengyang Huang and Xu Sun. Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019. [paper] [video] [code]