DMSS: A Dynamic Memory Scheduling System in Server Consolidation Environments. - Lanzheng Liu; Rui Chu; Yongchun Zhu; Pengfei Zhang 006; Liufeng Wang (ISORC Workshops, 2012)

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. - Yongchun Zhu; Fuzhen Zhuang; Deqing Wang (AAAI, 2019)

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. - Yongchun Zhu; Fuzhen Zhuang; Jingyuan Yang 001; Xi Yang; Qing He 003 (PAKDD (1), 2019)

Transfer Learning Toolkit: Primers and Benchmarks. - Fuzhen Zhuang; Keyu Duan; Tongjia Guo; Yongchun Zhu; Dongbo Xi; Zhiyuan Qi; Qing He 003 (CoRR, 2019)

Multi-representation adaptation network for cross-domain image classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Jingwu Chen; Zhiping Shi 002; Wenjuan Wu; Qing He 003 (Neural Networks, 2019)

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 003 (SIGIR, 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 003 (WWW, 2020)

Graph Factorization Machines for Cross-Domain Recommendation. - Dongbo Xi; Fuzhen Zhuang; Yongchun Zhu; Pengpeng Zhao 001; Xiangliang Zhang 001; Qing He 003 (CoRR, 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)

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 001; Qing He 003 (AAAI, 2021)

MDFEND: Multi-domain Fake News Detection. - Qiong Nan; Juan Cao 001; Yongchun Zhu; Yanyan Wang; Jintao Li 001 (CIKM, 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 (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 028; Leyu Lin; Juan Cao 001 (KDD, 2021)

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. - Yongchun Zhu; Kaikai Ge; Fuzhen Zhuang; Ruobing Xie; Dongbo Xi; Xu Zhang 028; Leyu Lin; Qing He 003 (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 006; Xu Zhang 028; Leyu Lin; Juan Cao 001 (SIGIR, 2021)

Combat Data Shift in Few-shot Learning with Knowledge Graph. - Yongchun Zhu; Fuzhen Zhuang; Xiangliang Zhang 001; Zhiyuan Qi; Zhiping Shi 002; Qing He 003 (CoRR, 2021)

A Comprehensive Survey on Transfer Learning. - Fuzhen Zhuang; Zhiyuan Qi; Keyu Duan; Dongbo Xi; Yongchun Zhu; Hengshu Zhu; Hui Xiong 001; Qing He 003 (Proc. IEEE, 2021)

Deep Subdomain Adaptation Network for Image Classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Guolin Ke; Jingwu Chen; Jiang Bian 002; Hui Xiong 001; Qing He 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Zoom Out and Observe: News Environment Perception for Fake News Detection. - Qiang Sheng 001; Juan Cao 001; Xueyao Zhang; Rundong Li; Danding Wang; Yongchun Zhu (ACL (1), 2022)

Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. - Qiong Nan; Danding Wang; Yongchun Zhu; Qiang Sheng 001; Yuhui Shi 002; Juan Cao 001; Jintao Li 001 (COLING, 2022)

Multi-view Multi-behavior Contrastive Learning in Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Xin Chen 091; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Qing He 003 (DASFAA (2), 2022)

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. - Zhenwei Tang; Shichao Pei; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Robert Hoehndorf; Xiangliang Zhang 001 (IJCAI, 2022)

Customized Conversational Recommender Systems. - Shuokai Li; Yongchun Zhu; Ruobing Xie; Zhenwei Tang; Zhao Zhang 011; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ECML/PKDD (2), 2022)

User-Centric Conversational Recommendation with Multi-Aspect User Modeling. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Fuzhen Zhuang; Qing He 003 (SIGIR, 2022)

Selective Fairness in Recommendation via Prompts. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xiang Ao 001; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2022)

Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. - Yongchun Zhu; Qiang Sheng 001; Juan Cao 001; Shuokai Li; Danding Wang; Fuzhen Zhuang (SIGIR, 2022)

Personalized Transfer of User Preferences for Cross-domain Recommendation. - Yongchun Zhu; Zhenwei Tang; Yudan Liu; Fuzhen Zhuang; Ruobing Xie; Xu Zhang 028; Leyu Lin; Qing He 003 (WSDM, 2022)

Personalized Prompts for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (CoRR, 2022)

Self-Supervised learning for Conversational Recommendation. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Zhenwei Tang; Wayne Xin Zhao; Qing He 003 (Inf. Process. Manag., 2022)

Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. - Beizhe Hu; Qiang Sheng 001; Juan Cao 001; Yongchun Zhu; Danding Wang; Zhengjia Wang 001; Zhiwei Jin (ACL (industry), 2023)

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. - Xin Qin; Jindong Wang 001; Shuo Ma 001; Wang Lu; Yongchun Zhu; Xing Xie 001; Yiqiang Chen 001 (KDD, 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 022; Zhulin An; Yongjun Xu 001 (KDD, 2023)

Attacking Pre-trained Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Jie Zhou 016; Yongjun Xu 001; Qing He 003 (SIGIR, 2023)

CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. - Yuxin Ying; Fuzhen Zhuang; Yongchun Zhu; Deqing Wang; Hongwei Zheng 007 (WWW, 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 016; Zhulin An; Yongjun Xu 001 (CoRR, 2023)

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting. - Qiong Nan; Qiang Sheng 001; Juan Cao 001; Yongchun Zhu; Danding Wang; Guang Yang 031; Jintao Li 001; Kai Shu (CoRR, 2023)

Combat data shift in few-shot learning with knowledge graph. - Yongchun Zhu; Fuzhen Zhuang; Xiangliang Zhang 001; Zhiyuan Qi; Zhi-Ping Shi 002; Juan Cao 001; Qing He 003 (Frontiers Comput. Sci., 2023)

Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting. - Mengqi Zhan; Yang Li 192; Yongchun Zhu; Guangxi Yu; Yan Zhang 014; Bo Li 063; Weiping Wang 005 (IEEE Trans. Inf. Forensics Secur., 2023)

Memory-Guided Multi-View Multi-Domain Fake News Detection. - Yongchun Zhu; Qiang Sheng 001; Juan Cao 001; Qiong Nan; Kai Shu; Minghui Wu 001; Jindong Wang 001; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2023)

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. - Guanyu Jiang; Fuzhen Zhuang; Bowen Song; Yongchun Zhu; Ying Sun 006; Weiqiang Wang; Deqing Wang (DASFAA (4), 2024)

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. - Yuting Zhang; Yiqing Wu; Ruidong Han; Ying Sun 006; Yongchun Zhu; Xiang Li 067; Wei Lin 022; Fuzhen Zhuang; Zhulin An; Yongjun Xu 001 (KDD, 2024)

Interest Clock: Time Perception in Real-Time Streaming Recommendation System. - Yongchun Zhu; Jingwu Chen; Ling Chen; Yitan Li; Feng Zhang 047; Zuotao Liu (SIGIR, 2024)

Interest Clock: Time Perception in Real-Time Streaming Recommendation System. - Yongchun Zhu; Jingwu Chen; Ling Chen; Yitan Li; Feng Zhang; Zuotao Liu (CoRR, 2024)

Triple Dual Learning for Opinion-based Explainable Recommendation. - Yuting Zhang; Ying Sun 006; Fuzhen Zhuang; Yongchun Zhu; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2024)

Personalized Prompt for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2024)

Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System. - Yongchun Zhu; Guanyu Jiang; Jingwu Chen; Feng Zhang 047; Qi Wu 017; Zuotao Liu (WWW (Companion Volume), 2025)

AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System. - Yongchun Zhu; Jingwu Chen; Ling Chen; Yitan Li; Feng Zhang; Xiao Yang; Zuotao Liu (CoRR, 2025)

Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System. - Yongchun Zhu; Guanyu Jiang; Jingwu Chen; Feng Zhang; Xiao Yang; Zuotao Liu (CoRR, 2025)

Asymmetric Diffusion Recommendation Model. - Yongchun Zhu; Guanyu Jiang; Jingwu Chen; Feng Zhang; Xiao Yang; Zuotao Liu (CoRR, 2025)

Exploiting user comments for early detection of fake news prior to users' commenting. - Qiong Nan; Qiang Sheng 001; Juan Cao 001; Yongchun Zhu; Danding Wang; Guang Yang 031; Jintao Li 001 (Frontiers Comput. Sci., 2025)