I am a postdoctoral researcher in the Department of Computer Science and Technology, Tsinghua Univerisity, collaborated with Prof. Jie Tang. Prior to that, I received my Ph.D. degree from Tsinghua Univerisity, and my bachelor degree from Nanjing Univerisity.

My research interests generally include data mining, knowledge graph, and social network, with an emphasis on data integration, name disambiguation, and social influence.

New: OAG-Challenge at KDD Cup 2024 has launched! Welcome to join the competition and address the key challenges in academic graph mining. The use of LLMs is encouraged and a free quota of GLM-4 API is provided.

Publications

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
arXiv:2402.15810
Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, and Jie Tang
[pdf] [data] [data challenge]

PST-Bench: Tracing and Benchmarking the Source of Publications
arXiv:2402.16009
Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang
[pdf] [code & data]

BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. Proceedings of the Web Conference (WWW) 2024
Yuqing Cheng, Bo Chen, Fanjin Zhang, and Jie Tang
[pdf] [code]

Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2023 Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, XiaoYan Li, Yuxiao Dong, and Jie Tang
[pdf] [code]

OAG: Linking Entities across Large-Scale Heterogeneous Knowledge Graphs
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022
Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, and Kuansan Wang
[pdf] [data]

Understanding WeChat User Preferences and “Wow” Diffusion
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021
Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, and Philip S. Yu.
[pdf] [code]

Self-supervised Learning: Generative or Contrastive
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021
Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, and Jie Tang
[pdf]

OAG_know: Self-supervised Learning for Linking Knowledge Graphs
IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021
Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, and Kuansan Wang
[pdf] [code]

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD Oral) 2019
Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, and Kuansan Wang
[pdf] [code] [data & website]

Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD Oral) 2018
Yutao Zhang, Fanjin Zhang, Peiran Yao, and Jie Tang
[pdf] [code]

Profiling Web Users Using Big Data
Social Network Analysis and Mining (SNAM) 2018
Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang, Fanjin Zhang, Debing Liu, Wendy Hall, and Xiao Fu
[pdf]

Education

2017.09 - 2023.06, Ph.D. in Computer Science and Technology, Tsinghua University

2013.09 - 2017.06, B.E. in Computer Science and Technology, Nanjing University

Experience

2023.07 - 2023.12, Algorithm Engineer, Zhipu AI, Beijing, China

2019.07 - 2020.11, Research Intern, Tencent, Beijing, China

2017.05 - 2017.09, Research Intern, Microsoft Research Asia, Beijing, China

Academic Service

PC Member:
2024: WSDM, AAAI, WWW, KDD
2023: WSDM, AAAI
2020: ECML-PKDD

Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Big Data (TBD), Social Network Analysis and Mining (SNAM), AI Open

Awards

Excellent Graduate Student from Department of Computer Science and Technology, Tsinghua University (2023)
Alumnus Scholarship of Tsinghua University (2021 & 2019)
Second Prize of the National Science and Technology Progress Award (2020)
CAAI Annual Outstanding Scientific and Technological Achievement Award (2020)
National Scholarship (2014)