Yongchun Zhu

According to our database, Yongchun Zhu authored at least 38 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Memory-Guided Multi-View Multi-Domain Fake News Detection.

Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang

IEEE Trans. Knowl. Data Eng., July, 2023

Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting.

Mengqi Zhan, Yang Li, Yongchun Zhu, Guangxi Yu, Yan Zhang, Bo Li, Weiping Wang

IEEE Trans. Inf. Forensics Secur., 2023

Combat data shift in few-shot learning with knowledge graph.

Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He

Frontiers Comput. Sci., 2023

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting.

Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu

CoRR, 2023

CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation.

Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng

Proceedings of the ACM Web Conference 2023, 2023

Attacking Pre-trained Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Yongjun Xu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.

Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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, Zhiwei Jin

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

Self-Supervised learning for Conversational Recommendation.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He

Inf. Process. Manag., 2022

Personalized Prompts for Sequential Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He

CoRR, 2022

Personalized Transfer of User Preferences for Cross-domain Recommendation.

Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.

Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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 SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User-Centric Conversational Recommendation with Multi-Aspect User Modeling.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Customized Conversational Recommender Systems.

Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion.

Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 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 Database Systems for Advanced Applications, 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, 2022

Zoom Out and Observe: News Environment Perception for Fake News Detection.

Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Deep Subdomain Adaptation Network for Image Classification.

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He

IEEE Trans. Neural Networks Learn. Syst., 2021

A Comprehensive Survey on Transfer Learning.

Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He

Proc. IEEE, 2021

Combat Data Shift in Few-shot Learning with Knowledge Graph.

Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He

CoRR, 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, Juan Cao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Qing He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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, Juan Cao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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, Yu Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MDFEND: Multi-domain Fake News Detection.

Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 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 Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Investigation into Information Release of Chinese Government and Departments on COVID-19.

Quan Lu, Ting Liu, Chang Li, Jing Chen, Yongchun Zhu, Shengyi You, Siwei Yu

Data Inf. Manag., 2020

Graph Factorization Machines for Cross-Domain Recommendation.

Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He

CoRR, 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 WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Neural Hierarchical Factorization Machines for User's Event Sequence Analysis.

Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Multi-representation adaptation network for cross-domain image classification.

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He

Neural Networks, 2019

Transfer Learning Toolkit: Primers and Benchmarks.

Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He

CoRR, 2019

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition.

Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources.

Yongchun Zhu, Fuzhen Zhuang, Deqing Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2012

DMSS: A Dynamic Memory Scheduling System in Server Consolidation Environments.

Lanzheng Liu, Rui Chu, Yongchun Zhu, Pengfei Zhang, Liufeng Wang

Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012