Yongchun Zhu's Homepage

Yongchun Zhu 朱勇椿

I am a 3rd-year PhD candidate under the supervision of Prof. Juan Cao and Prof. Fuzhen Zhuang at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). My research focuses on Machine Learning and Data Mining. In particular, I am working on Transfer Learning, Meta Learning, and their applications, including Recommender Systems, Fake News Detection, Image Classification.

Contact: zhuyc0204 [AT] gmail [dot] com

GitHub / Google Scholar / ResearchGate / DBLP / Zhihu Column

News

05/2023	Invited to serve as a PC Member for CIKM 2023.
02/2023	Invited to serve as a PC Member for ECML-PKDD 2023.
01/2023	Invited to serve as a PC Member for KDD 2023.
10/2022	Will give talks at Illinois Institute of Technology.
10/2022	Invited to serve as a PC Member for the WEB Conference (WWW) 2023.
08/2022	Invited to serve as a reviewer for IPM.
08/2022	One paper got accepted by COLING 2022.
08/2022	One paper got accepted by IPM.
08/2022	Invited to serve as a PC Member for AAAI 2023.
06/2022	Will give talks at Baidu and HUAWEI.
06/2022	One paper got accepted by TKDE.
06/2022	One paper got accepted by ECML-PKDD 2022.
05/2022	Invited to serve as a PC Member for CIKM 2022.
04/2022	One paper got accepted by IJCAI 2022.
04/2022	Three papers got accepted by SIGIR 2022.
02/2022	One paper got accepted by ACL 2022.
Full List

Publications

2023

[KDD 2023] Modeling Dual Period-Varying Preferences for Takeaway Recommendation
Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, ruidong han, Xiang Li, Wei Lin, Zhulin An and Yongjun Xu
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining
Paper /

[KDD 2023] Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie and Yiqiang Chen
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining
Paper /

[ACL 2023] Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, and Zhiwei Jin
Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics
Paper /

[SIGIR 2023] Attacking Pre-Trained Recommendation
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongchun Xu, Qing He
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance Rate:165/667=24.7%)
Preprint

[TIFS] Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting
Mengqi Zhan, Yang Li, Yongchun Zhu, Guangxi Yu, Yan Zhang, Bo Li and Weiping Wang
Transactions on Information Forensics & Security
Paper /

[WWW 2023] CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation
Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng
Proceedings of the 32th Web Conference (Acceptance rate: 365/1,900=19.2%)
Paper /

2022

[COLING 2022] Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
Proceedings of the 29th International Conference on Computational Linguistics (Acceptance Rate: 522/1,563=33.4%)
Preprint / Paper / Code / Chinese Blog 1 / 2

[IPM] Self-Supervised Learning for Conversational Recommendation
Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Xin Zhao, and Qing He
Information Processing and Management
Paper /

[TKDE] Memory-Guided Multi-View Multi-Domain Fake News Detection
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, and Fuzhen Zhuang
IEEE Transactions on Knowledge and Data Engineering
Preprint / Paper / Code / Chinese Blog 1 / 2 / 3

[ECML-PKDD 2022] Customized Conversational Recommender Systems
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, and Hui Xiong
Proceedings of the 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Acceptance Rate:242/932=26.0%)
Preprint / Paper

[IJCAI 2022] Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, and Xiangliang Zhang
Proceedings of the 31st International Joint Conference on Artificial Intelligence (Acceptance Rate: 679/4,535 = 14.9%)
Preprint / Code / Chinese Blog

[SIGIR 2022] User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, and Qing He
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance Rate:161/794=20.3%)
Preprint / Code / Chinese Blog 1 / 2 / 3

[SIGIR 2022] Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, and Fuzhen Zhuang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance Rate:165/667=24.7%)
Preprint / Code / Chinese Blog 1 / 2 / 3

[SIGIR 2022] Selective Fairness in Recommendation via Prompts
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance Rate:165/667=24.7%)
Preprint / Code / Chinese Blog 1 / 2

[ACL 2022] Zoom Out and Observe: News Environment Perception for Fake News Detection
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, and Yongchun Zhu
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Acceptance Rate: 701/3,378=20.75%)
Preprint / Code / Chinese Blog / English Blog

[DASFAA 2022] Multi-view Multi-behavior Contrastive Learning in Recommendation
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
Proceedings of the 27th International Conference on Database Systems for Advanced Applications (Acceptance Rate: 72/400=18.0%)
Preprint / Code / Chinese Blog 1 / 2

[WSDM 2022] Personalized Transfer of User Preferences for Cross-domain Recommendation
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, and Qing He
Proceedings of the 15th ACM International Conference on Web Search and Data Mining (Acceptance rate: 159/786=20.23%)
Preprint / Paper / Poster / Slides / Code / Chinese Blog 1 / 2 / 3 / 4

2021

[FCS] Combat Data Shift in Few-shot Learning with Knowledge Graph
Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Juan Cao, and Qing He
Frontiers of Computer Science
Preprint / Paper

[CIKM 2021] MDFEND: Multi-domain Fake News Detection
Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, and Jintao Li
Proceedings of the 30th ACM International Conference on Information and Knowledge Management (Acceptance rate: 177/626=28.3%)
Preprint / Paper / Poster / Slides / Code / Chinese Blog 1 / 2

[KDD 2021] Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin and Juan Cao
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (Acceptance rate: 138/705=19.57%)
Preprint / Paper / Poster / Slides / Code / Chinese Blog 1 / 2 / 3 / 4 / 5

[KDD 2021] Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang and Yu Chen
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (Acceptance rate: 138/705=19.57%)
Preprint / Paper / Code / Chinese Blog

[SIGIR 2021] Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin and Juan Cao
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance rate: 151/720=20.97%)
Preprint / Paper / Slides / Chinese Blog 1 / 2 / 3

[SIGIR 2021] Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin and Qing He
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance rate: 145/526=27.6%)
Preprint / Paper / Poster / Slides

[AAAI 2021] Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection
Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
Proceedings of the 35th AAAI Conference on Artificial Intelligence (Acceptance rate: 1692/7911=21.4%)
Preprint / Paper

2020

[TNNLS] Deep Subdomain Adaptation Network for Image Classification
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
IEEE Transactions on Neural Networks and Learning Systems
Preprint / Paper / Code / Chinese Blog

[Proc. IEEE] A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
Proceedings of the IEEE
Preprint / Paper

[SIGIR 2020] Neural Hierarchical Factorization Machines for User’s Event Sequence Analysis
Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Tao Chen, Xi Gu, Qing He
Proceedings of the 43rd international ACM SIGIR Conference on Research and Development in Information Retrieval (Acceptance rate: 153/507=30.2%)
Preprint / Paper

[WWW 2020] Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection
Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
Proceedings of the 29th Web Conference (Acceptance rate: 217/1,129=19.2%)
Preprint / Paper / Slides / Code / Chinese Blog

2019

[Neural Networks] Multi-Representation Adaptation Network for Cross-domain Image Classification
Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He
Neural Networks
Preprint / Paper / Code / Chinese Blog

[PAKDD 2019] Adaptively transfer category-classifier for handwritten Chinese character recognition
Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (Acceptance rate: 140/567=24.7%)
Paper / Slides

[AAAI 2019] Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (Acceptance rate: 1692/7,911=21.4%)
Preprint / Paper / Poster / Slides / Code / Chinese Blog

Talks

2022/10/21	I gave a talk on Securing the World with Reliable AI From a Distribution Perspective at Illinois Institute of Technology.
2022/7/21	I gave a talk on Transfer Learning and its Application at Baidu.
2022/7/20	I gave a talk on Transfer Learning and its Application at HUAWEI.
2021/12/1	I gave a talk on Recommender System at the big data course of Beihang University.
2021/11/17	I gave a talk on MetaHeac at AI TIME Live.

Academic Services

Conference PC Member & Reviewer	WWW 2023 KDD 2022, 2023 ECML-PKDD 2023 AAAI 2021, 2022, 2023 WSDM 2022 CIKM 2021, 2022 ECAI 2020
Journal Reviewer	IPM TOIS TKDE TNNLS FCS Social Network Analysis and Mining Multimedia Systems

Education

2020-	Ph.D in Computer Science and Technology (Candidate) University of Chinese Academy of Sciences (Cultivation Unit: Institute of Computing Technology, Chinese Academy of Sciences)
2018-2020	M. E. in Computer Science and Technology University of Chinese Academy of Sciences (Cultivation Unit: Institute of Computing Technology, Chinese Academy of Sciences)
2014-2018	B. S. in Computer Science and Technology School of Information Science and Technology, Beijing Normal University

Honors and Awards

2022: Baidu Scholarship(百度奖学金).
2022: Excellent Prize of the President Sholarship(所长优秀奖).
2021: National Scholarship(博士国家奖学金).
2021: Pacemaker to Merit Student of UCAS(中国科学院大学三好学生标兵).
2020: ByteDance Summer Camp Champion(字节跳动夏令营冠军).
2020: Merit Student of UCAS(中国科学院大学三好学生).
2019: 4Paradigm Scholarship(One of the top scholarships in ICT, CAS)(第四范式奖学金).
2019 & 2021 & 2022: First-class Scholarship of UCAS(中国科学院大学一等奖学金).
2018: Beijing Outstanding Graduate (北京市优秀毕业生).
2017: Merit Student of BNU(北师大三好学生).
2017: Honorable Mention in Mathematical Contest In Modeling(世界大学生数学建模大赛H奖).
2017: Excellent League Member of BNU(北师大优秀团员).
2016 & 2017: First-class Scholarship of BNU(北师大一等奖学金).
2016 & 2017: Competition First-class Scholarship of BNU(北师大竞赛一等奖学金).
2016: Third-class prize in Beijing Internet plus entrepreneurship competition(北京市互联网+创业大赛三等奖).
2016: Second-class prize in BNU Internet plus entrepreneurship competition(北师大互联网+创业大赛二等奖).
2016: National Scholarship(本科国家奖学金).
2016: Gold medal in Beijing Challenge Cup competition(北京市挑战杯创业大赛金奖).
2016: Volunteer Service Award of BNU(志愿服务奖).
2016: Third-class prize in Beijing physics competition(北京市物理竞赛三等奖).
2015: Outstanding Student Leaders of BNU(北师大优秀学生干部).