Yongchun Zhu - RankMe

80 papers A* 18A 4B 1Journal 48Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AdaF DASFAA (6) Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu
2025	J	`jnl`	AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System. CoRR Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Xiao Yang, Zuotao Liu
2025	A	`conf`	Asymmetric Diffusion Recommendation Model. CIKM Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Xiao Yang, Zuotao Liu
2025	J	`jnl`	Asymmetric Diffusion Recommendation Model. CoRR Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Xiao Yang, Zuotao Liu
2025	J	`jnl`	Exploiting user comments for early detection of fake news prior to users' commenting. Frontiers Comput. Sci. Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li
2025	—	`conf`	Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System. WWW (Companion Volume) Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Qi Wu, Zuotao Liu
2025	J	`jnl`	Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System. CoRR Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Xiao Yang, Zuotao Liu
2025	A	`conf`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CIKM Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2025	J	`jnl`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CoRR Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2024	A*	`conf`	Interest Clock: Time Perception in Real-Time Streaming Recommendation System. SIGIR Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu
2024	J	`jnl`	Interest Clock: Time Perception in Real-Time Streaming Recommendation System. CoRR Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu
2024	J	`jnl`	Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
2024	—	`conf`	SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. DASFAA (4) Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang
2024	J	`jnl`	Triple Dual Learning for Opinion-based Explainable Recommendation. ACM Trans. Inf. Syst. Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu
2024	A*	`conf`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024	J	`jnl`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2023	A*	`conf`	Attacking Pre-trained Recommendation. SIGIR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	Attacking Pre-trained Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	A*	`conf`	CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng
2023	J	`jnl`	Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He
2023	J	`jnl`	Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting. CoRR Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu
2023	A*	`conf`	Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. KDD Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023	J	`jnl`	Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. CoRR Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023	—	`conf`	Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. ACL (industry) Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
2023	J	`jnl`	Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. CoRR Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
2023	J	`jnl`	Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2023	A*	`conf`	Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023	J	`jnl`	Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023	J	`jnl`	Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting. IEEE Trans. Inf. Forensics Secur. Mengqi Zhan, Yang Li, Yongchun Zhu, Guangxi Yu, Yan Zhang, Bo Li, Weiping Wang
2022	J	`jnl`	Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources. CoRR Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
2022	—	`conf`	Customized Conversational Recommender Systems. ECML/PKDD (2) Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	J	`jnl`	Customized Conversational Recommender Systems. CoRR Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	A*	`conf`	Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
2022	J	`jnl`	Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
2022	B	`conf`	Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. COLING Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
2022	J	`jnl`	Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. CoRR Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
2022	J	`jnl`	MDFEND: Multi-domain Fake News Detection. CoRR Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li
2022	J	`jnl`	Memory-Guided Multi-View Multi-Domain Fake News Detection. CoRR Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
2022	J	`jnl`	Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
2022	J	`jnl`	Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He
2022	—	`conf`	Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Personalized Prompts for Sequential Recommendation. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
2022	A	`conf`	Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2022	A*	`conf`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	J	`jnl`	Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
2022	A*	`conf`	Selective Fairness in Recommendation via Prompts. SIGIR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Selective Fairness in Recommendation via Prompts. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He
2022	A*	`conf`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022	J	`jnl`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022	—	`conf`	Zoom Out and Observe: News Environment Perception for Fake News Detection. ACL (1) Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
2022	J	`jnl`	Zoom Out and Observe: News Environment Perception for Fake News Detection. CoRR Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
2021	J	`jnl`	A Comprehensive Survey on Transfer Learning. Proc. IEEE Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2021	J	`jnl`	Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He
2021	J	`jnl`	Deep Subdomain Adaptation Network for Image Classification. CoRR Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021	J	`jnl`	Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021	A*	`conf`	Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. KDD Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
2021	J	`jnl`	Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. CoRR Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
2021	A*	`conf`	Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
2021	J	`jnl`	Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. CoRR Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
2021	A	`conf`	MDFEND: Multi-domain Fake News Detection. CIKM Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li
2021	A*	`conf`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2021	A*	`conf`	Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. KDD Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
2021	J	`jnl`	Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. CoRR Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
2021	J	`jnl`	Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
2021	J	`jnl`	Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2021	A*	`conf`	Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
2021	J	`jnl`	Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
2020	J	`jnl`	Graph Factorization Machines for Cross-Domain Recommendation. CoRR Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He
2020	J	`jnl`	Investigation into Information Release of Chinese Government and Departments on COVID-19. Data Inf. Manag. Quan Lu, Ting Liu, Chang Li, Jing Chen, Yongchun Zhu, Shengyi You, Siwei Yu
2020	A*	`conf`	Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
2020	J	`jnl`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2020	A*	`conf`	Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
2019	J	`jnl`	A Comprehensive Survey on Transfer Learning. CoRR Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2019	—	`conf`	Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He
2019	A*	`conf`	Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. AAAI Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
2019	J	`jnl`	Multi-representation adaptation network for cross-domain image classification. Neural Networks Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He
2019	J	`jnl`	Transfer Learning Toolkit: Primers and Benchmarks. CoRR Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He
2012	—	`conf`	DMSS: A Dynamic Memory Scheduling System in Server Consolidation Environments. ISORC Workshops Lanzheng Liu, Rui Chu, Yongchun Zhu, Pengfei Zhang, Liufeng Wang