I am currently a third-year PhD student under the supervision of Prof. Yong Zhang and Prof. Chunxiao Xing at Department of Computer Science and Technology, Tsinghua University. Now, I also working closely with Prof. Xiangyu Zhao from School of Data Science, City University of Hong Kong. I am currently working at Huawei Cloud as a research intern with Dr. Chong Chen. In 2022, I have spent 6 months visiting Nanyang Technological University under the supervision of Prof. Cheng Long. I received my B.S in Software Engineering from Beihang University at 2020. My research interests focus on data imbalance problem in data mining applications, including recommender systems, urban computing and medical healthcare.

Education

• Tsinghua University. Beijing, China
  • Ph.D. in Computer Science and Technology
  • Period: Sep 2020 - Present
  • Thesis Topic: Data Equity based Information Retrieval Methods
  • Supervisor: Yong Zhang and Chunxiao Xing
• Nanyang Technological University. Singapore
  • Visiting Student
  • Period: Dec 2022 - Apr 2023
  • Supervisor: Cheng Long
• Beihang University. Beijing, China
  • B.Eng., major in Software Engineering
  • Period: Sep 2016 - Jun 2020
  • GPA: 3.87/4.00 Ranking: 2/159
  • Thesis: Application of Transfer Learning in Knowledge Graphs
• Beihang University. Beijing, China
  • B.E., minor in Economics
  • Period: Sep 2017 - Jun 2019

Internships

• Huawei. Beijing, China
  • Research Intern at Huawei Cloud.
  • Period: Jun 2023 - Present
  • Supervisor: Chong Chen
  • Project: Large Language Model for Recommendation.
• Tencent. Beijing, China
  • Research Intern at Tencent Jarvis Lab.
  • Period: Jun 2021 - Jun 2022
  • Supervisor: Xian Wu
  • Project: Cross Domain Recommendation and Medical Data Mining.
• Tsinghua University. Beijing, China
  • Research Assistant at Institute for Interdisciplinary Information Science.
  • Period: Mar 2019 - Aug 2019
  • Supervisor: Pingzhong Tang
  • Project: Time Series Prediction for Stock Prediction.
• Peking University. Beijing, China
  • Research Assistant at Language Computing and Machine Learning Group.
  • Period: Nov 2018 - Apr 2019
  • Supervisor: Xu Sun
  • Project: Multi-modal Text Generation.
• MEGVII. Beijing, China
  • Research Engineer Intern at Data++ Group.
  • Period: Nov 2018 - Apr 2019
  • Project: Video Data Processing Flow Design.

Publications

Conference & Journal Papers

• REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning
  Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu.
  Procceedings of the 32nd ACM International Conference on Information & Knowledge Management (CIKM'23)
• Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning
  Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing.
  Procceedings of the 32nd ACM International Conference on Information & Knowledge Management (CIKM'23)
• IMF: Interactive Multimodal Fusion Model for Link Prediction
  Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing.
  Proceedings of the ACM Web Conference 2023 (WWW’23)
• Conditional Cross-Platform User Engagement Prediction
  Xinhang Li, Zhaopeng Qiu, Jiacheng Jiang, Yong Zhang, Chunxiao Xing, Xian Wu.
  Proceedings of ACM Transactions on Information Systems (TOIS)
• Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation
  Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu.
  Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM’22)
• DCA: Diversified Co-Attention towards Informative Live Video Commenting
  Zhihan Zhang, Zhiyi Yin, Shuhuai Ren, Xinhang Li, Shicheng Li.
  Proceedings of the 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC’20)

Pre-print Papers

• OpenSiteRec: An Open Dataset for Site Recommendation
  Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing.
  arXiv preprint arXiv:2307.00856
• Rethinking Representation Learning in Collaborative Filtering: An Embedding-Free Approach
  Xinhang Li, Xiangyu Zhao, Yong Zhang, Chunxiao Xing.
  
• Contrastive Graph Pooling for Explainable Classification of Brain Networks
  Jiaxing Xu, Qingtian Bian, Xinhang Li, Aihu Zhang, Yiping Ke, Miao Qiao.
  
• Jointly Learning Knowledge Embedding and Neighborhood Consensus for Entity Alignment
  Xinhang Li, Yong Zhang, Chunxiao Xing.
  arXiv preprint arXiv:2201.11249

Selected Awards

• Friends of Tsinghua Scholarship, 2021, 2022
• Outstanding Graduate Award of BUAA (3%)
• China National Scholarship, 2018, 2019
• Friends of Beihang Scholarship, 2017

Reviewer

• CIKM, 2023
• AAAI, 2022, 2023, 2024
• EMNLP, 2021, 2022, 2023
• ACL, 2020