I currently work as an assistant professor with Beijing University of Posts and Telecommunications. Before that, I was a postdoc research fellow with Department of Computer Science and Technology, Tsinghua University from 2021 to 2023. I received the PhD degree at Beijing Institute of Technology in 2021, and received the bachelor degree at Beijing Information Science & Technology University, in 2016.

My research interests include AIGC-powered datamining, graph representation learning, recommendation systems, etc. For my full (and timely) publication list, please refer to my Google scholar .

🔥 News

• 2024.10 :   Congratulations to Haoran, the paper Text2NKG been accepted by NeurIPS’24!
• 2024.10 :   We appreciate Zhipu AI and the Chinese Information Processing Society of China for their funding support to our research through the SMP-Zhipu AI Large Model Interdisciplinary Fund.
• 2024.09 :   Congratulations to Dan! The study of MCAP model has been accepted by ACM TOIS!
• 2024.08 :   I have been elected as an executive member of CCF Expert Committee on Big Data.

📚 Publications

2024

• NeurIPS 2024 Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu. Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction. In Advances in Neural Information Processing Systems (NeurIPS’24), 2024. Paper Code

• ACM TOIS Dan Zhang, Shaojie Zhen, Yifan Zhu, Huihui Yuan, Jibing Gong, Jie Tang. MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations. ACM Transactions on Information Systems, 2024. Paper(to be released) Data

• MM 2024 Yu Feng, Zhen Tian, Yifan Zhu, Zongfu Han, Haoran Luo, Guangwei Zhang, Meina Song. CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning. In ACM Multimedia, 2024. Paper Code

• ACM TOIS Weibin Liao, Yifan Zhu, Yanyan Li, Zhonghong Ou, Xuesong Li. RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. ACM Transactions on Information Systems, 2024, 43(1):168. Paper Data

• KDD 2024 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, Jie Tang. OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. In 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’24), 2024. Paper Data

• ACL 2024 Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan. ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. In Fingdings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL’24), 2024. Paper Code

• IEEE TCSS Gen Shi, Yuxiang Yao, Yifan Zhu, Xinyue Lin, Lanxin Li, Wenjin Liu, Xuesong Li, Contrastive Hierarchical Augmentation Learning for Modeling Cognitive and Multimodal Brain Network. IEEE Transactions on Computational Social Systems, 2024. Paper Code

2023

• KDD 2023 Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, and Jie Tang. WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. In 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’23), 2023. Paper Code

• IEEE TKDE Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, and Zhendong Niu, Recommending Learning Objects through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(4):4178-4189. Paper Poster

• IEEE TNNLS Gen Shi, Yifan Zhu, Jian K. Liu, Xuesong Li. HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-level Representation, IEEE Transactions on Neural Networks and Learning Systems. 2023. Paper

• WWW 2023 Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang. ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. In Proceedings of the Web Conference 2023 (WWW’23), 759–769. Paper Code

• ECML-PKDD 2023 Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong and Jie Tang. Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD), 2023. Paper (Best student paper award)

• ICDM 2023 Zongzhi Han, Zhonghong Ou, Yifan Zhu, Xiaodong Li, and Meina Song. FM-IGNN: Interaction Graph Neural Network with Fine-grained Matching for Session-based Recommendation. In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2023. Paper

2022

• BIBM 2022 Gen Shi, Yifan Zhu, Fuquan Zhang, Wenjin Liu, Yuxiang Yao, Xuesong Li. Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder. In proceedings of the International Conference on Bioinformatics and Biomedicine (BIBM’2022), 2467-2473. Paper

• IEEE TITS Hao Lu, Yifan Zhu, Qika Lin, Tan Wang, Zhendong Niu, Enrique Herrera-Viedma. Heterogeneous knowledge learning of predictive academic intelligence in transportation. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(4):3737-3755. Paper

• IEEE TCDS Gen Shi, Yifan Zhu, Zhensen Chen, Jinyan Liu, Xuesong Li, Are Non-image Data Really Necessary for Disease Prediction with Graph Convolutional Networks?. IEEE Transactions on Cognitive and Developmental Systems, 2022, 15(1):252-260. Paper

• SIGIR 2022 Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang and Tianzhe Zhao. Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. In 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’22), 893-903. Paper

• CIKM 2022 Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang. AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query. In 31st ACM International Conference on Information & Knowledge Management (CIKM’22), 4039-4043. Paper

• IEEE TCSS Tan Wang, Yifan Zhu, Peijun Ye, Weichao Gong, Hao Lu, Hong Mo, Fei-Yue Wang, A New Perspective for Computational Systems: Fuzzy Modeling and Reasoning for Social Computing in CPSS. IEEE Transactions on Computational Social Systems, 2022. Paper

• IEEE TCSS Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu, Application of Social Sensors in Natural Disasters Emergency Management: A Review. IEEE Transactions on Computational Social Systems, 2022. Paper

• IEEE TCSS Donglei Liu, Yong Yuan, Rui Qin, Yifan Zhu, Chunxia Zhang, Zhendong Niu, A Local Self-Attention Sentence Model for Answer Selection Task in CQA Systems. IEEE Transactions on Computational Social Systems, 2022. Paper

2021

• MIA Yifan Zhu, Xuesong Li, Yufei Qiao, Ruihong Shang, Gen Shi, Yingying Shang, and Hua Guo, Widespread Plasticity of Cognition-Related Brain Networks in Single-Sided Deafness Revealed by Randomized Window-Based Dynamic Functional Connectivity. Medical Image Analysis, 2021, 73(474):102163. Paper

• KBS Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, and Zhendong Niu, Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. Knowledge-Based Systems, 2021, 215: 106744. Paper

• IEEE TCDS Yifan Zhu, Xuesong Li , Yang Sun, Haixu Wang, Hua Guo, and Jie Sui, Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-based Dynamic Functional Connectivity: A Machine Learning Approach. IEEE Transactions on Cognitive and Developmental Systems, 2022, 14(2):761-771. Paper

• FGCS Qika Lin, Yifan Zhu, Hao Lu, Kaize Shi, and Zhendong Niu, Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Generation Computer Systems, 2021, 117:181-192. Paper

• NeuroImage Gen Shi, Xuesong Li, Yifan Zhu, Ruihong Shang, Yang Sun, Hua Guo, Jie Sui, The divided brain: Functional brain asymmetry underlying self-construal. NeuroImage, 2021, 240:118382. Paper

• IP&M Kaize Shi, Yuseng Wang, Hao Lu, Yifan Zhu, Zhendong Niu, EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings. Information Processing & Management, 2021, 58(4):102564. Paper

• TCSS Hao Lu, Yifan Zhu, Yong Yuan, Weichao Gong, Juanuan Li, Kaize Shi, Yisheng Lv, Zhendong Niu, Fei-Yue Wang, Social Signal-Driven Knowledge Automation: A Focus on Social Transportation. IEEE Transactions on Computational Social Systems, 2021, 8(3): 737-753. Paper

• Yu Mao, Yifan Zhu, Yiping Liu, Qika Lin, Hao Lu, Fuquan Zhang, Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media. Enterprise Information Systems, 2021, 16(8-9): 1856420. Paper

2020

• Yifan Zhu, Hao Lu, Ping Qiu, Kaize Shi, James Chambua, Zhendong Niu, Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization. Neurocomputing 415, 84-95. Paper

• Yifan Zhu, Sifan Zhang, Yinan Li, Hao Lu, Kaize Shi, Zhendong Niu, Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace. Geoscience Data Journal, 2020, 7(1): 61-79. Paper

• KBS Kaize Shi, Hao Lu, Yifan Zhu, Zhendong Niu, Automatic generation of meteorological briefing by event knowledge guided summarization model. Knowledge-Based Systems, 2020, 192: 105379. Paper

2019

• ISPA 2019 Yu Mao, Yifan Zhu, Sifan Zhang, Dexiu Zhang, Fuquan Zhang, Xiaozhong Fan, Detecting interest-factor influenced abnormal evaluation of teaching via multimodal embedding and priori knowledge based neural network. In IEEE-ISPA 2019, 1201-1209. Paper

• ISPA 2019 Yinan Li, Fuquan Zhang, Y. Zhu, S. Zhang, Y. Mao, Z. Niu, Chinese Lexical Based Sentiment Analysis Framework in Meteorology, IEEE-ISPA 2019, 1652-1658. Paper

• Yifan Zhu, James Chambua, Hao Lu, Kaize Shi, Zhendong Niu, An opinion based cross‐regional meteorological event detection model. Weather, 2019, 74(2): 51-55. Paper

• FGCS Kaize Shi, Changjin Gong, Hao Lu, Yifan Zhu, Zhendong Niu. Wide-grained capsule network with sentence-level feature to detect meteorological event in social network. Future Generation Computer Systems, 2020, 102:323-332. Paper

• ESWA James Chambua, Zhendong Niu, Yifan Zhu, User preferences prediction approach based on embedded deep summaries. Expert Systems with Applications, 2019, 132: 87-98. Paper

• Yubing Nie, Yifan Zhu, Qika Lin, Sifan Zhang, Pengfei Shi, Zhendong Niu, Academic rising star prediction via scholar’s evaluation model and machine learning techniques. Scientometrics, 2019, 120(2): 461-476. Paper

• Qika Lin, Yifan Zhu, Sifan Zhang, Pengfei Shi, Qing Guo, Zhendong Niu, Lexical based automated teaching evaluation via students’ short reviews. Computer Applications in Engineering Education, 2019, 27(1): 194-205. Paper

🎖 Honors and Awards

• 2023.10 Runner-up best paper award (ADS Track), ECML-PKDD 2023.

🔍 Educations & Work Experiences

• 2023.09 - (now), Assistant professor at School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China.
• 2021.10 - 2023.09, Postdoc research fellow at Department of Computer Science and Technology, Tsinghua University, Beijing, China. (Supervisor: Prof. Jie Tang )
• 2016.09 - 2021.06, Ph.D. at School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China. (Supervisor: Prof. Zhendong Niu)
• 2012.09 - 2016.06, B.E. at Computer School, Beijing Information Science & Technology University, Beijing, China.

🎤 Lecture, Talk, and Services

Lectures

• 2024.06, 推荐系统基础

Invited Talks

• 2023.10, 基础模型时代下隐私保护与可信数据要素流通, 第一届中国（成都）数智金融高峰论坛 Slides

Editor Service

• 2023.12 - present, Editorial Board Member of Information Fusion
• 2023.10 - 2024.06, Guest Editor of Electronics
• 2022.03 - 2022.12, Guest Editor of Wireless Communications and Mobile Computing
• 2021.10 - 2022.02, Guest Editor of International Journal of Distributed Sensor Networks

Social Service

• Executive member of CCF Expert Committee on Big Data
• Executive member of CCF Data Governance Development Committee

Program Committee & Reviewer Service

• Program committee member of WWW’24, MM’24, NeurIPS’24, AAAI’22-25, IJCAI’23-24, ECML-PKDD’22, ICWSM’24-25
• Reviewer of IEEE TOIS, IEEE TMC, IEEE TITS, ACM TKDD, IEEE TNNLS, ACM ToMM, Human Brain Mapping, IEEE TBD, IEEE TCSS, IEEE TNSE, IEEE TCDS, IEEE TALLIP, IEEE TLT, ACM TALLIP, IEEE TETCI, Expert System with Applications, Computational Intelligence, Scientometics, Neurocomputing, Network: Computation in Neural Systems, Frontiers of Computer Science.

Students

Messages for applying students

• I am looking for self-motivated and team-worked students to work on the following topics:
  • LoRA and Mixture of Experts
  • Graph-based recommendation and data mining
  • Graph-based social network analysis
  • Graph-based brain activity analysis for medical use
• However, I received a lot of applications, and I am sorry that I cannot reply to all of them. Thus, I will set a priority queue to whom really cares aboout his/her application. To be specific, the applicant who place the nuber $709394 ahead of the application email title will be given the priority of consideration.
• （中文翻译）本团队长期欢迎对图神经网络、推荐系统、社交网络分析、脑科学等领域感兴趣的同学加入，希望同学们能以自驱和团队协作的精神，共同开展科研工作。遗憾的是，我们每次会收到大量的申请，无法一一回复。因此，为了照顾真正想来而非刷楼的申请，我们将优先考虑在申请邮件标题前面添加了字符$709394的同学（例如：$709394-研究生申请-张三-xxxx大学）。

Class of 2024

• Master students: Qingzhi Yu, Huiqiang Rong, Guanting Chen
• Undergraduate students: Yihao Wang (visiting student from BISTU), Xinyu Mu (visiting student from BISTU)

Class before 2023

• PhD students: Yu Feng (Co-advised with Prof. Meina Song), Weibin Liao (Co-advised with Prof. Xuesong Li), Gen Shi (Co-advised with Prof. Xuesong Li)