Yongchun Zhu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 69

Top Topics

Transfer Learning

Fraud Detection

Handwritten Chinese Character Recognition

Top Venues

Publications

Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR (2024)
Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu
Interest Clock: Time Perception in Real-Time Streaming Recommendation System. CoRR (2024)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu
Interest Clock: Time Perception in Real-Time Streaming Recommendation System. SIGIR (2024)
Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu
Triple Dual Learning for Opinion-based Explainable Recommendation. ACM Trans. Inf. Syst. 42 (3) (2024)
Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD (2024)
Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He
Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. 17 (1) (2023)
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. CoRR (2023)
Mengqi Zhan, Yang Li, Yongchun Zhu, Guangxi Yu, Yan Zhang, Bo Li, Weiping Wang
Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. SIGIR (2023)
Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD (2023)
Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning. KDD (2023)
Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR (2023)
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. ACL (industry) (2023)
Qiong Nan, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Guang Yang, Jintao Li, Kai Shu
Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting. CoRR (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. CoRR (2023)
Beizhe Hu, Qiang Sheng, Juan Cao, Yongchun Zhu, Danding Wang, Zhengjia Wang, Zhiwei Jin
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection. CoRR (2023)
Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW (2023)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. ECML/PKDD (2) (2022)
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. CoRR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompts for Sequential Recommendation. CoRR (2022)
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
Zoom Out and Observe: News Environment Perception for Fake News Detection. CoRR (2022)
Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) (2022)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. CoRR (2022)
Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR (2022)
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. CoRR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59 (6) (2022)
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources. CoRR (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR (2022)
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He
Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR (2022)
Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. SIGIR (2022)
Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang
Memory-Guided Multi-View Multi-Domain Fake News Detection. CoRR (2022)
Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu
Zoom Out and Observe: News Environment Perception for Fake News Detection. ACL (1) (2022)
Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li
Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer. COLING (2022)
Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li
MDFEND: Multi-domain Fake News Detection. CoRR (2022)
Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li
MDFEND: Multi-domain Fake News Detection. CIKM (2021)
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR (2021)
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. KDD (2021)
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. CoRR (2021)
Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. CoRR (2021)
Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. KDD (2021)
Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR (2021)
Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR (2021)
Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR (2021)
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
A Comprehensive Survey on Transfer Learning. Proc. IEEE 109 (1) (2021)
Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He
Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR (2021)
Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI (2021)
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR (2021)
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
Deep Subdomain Adaptation Network for Image Classification. CoRR (2021)
Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. CoRR (2021)
Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW (2020)
Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR (2020)
Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR (2020)
Quan Lu, Ting Liu, Chang Li, Jing Chen, Yongchun Zhu, Shengyi You, Siwei Yu
Investigation into Information Release of Chinese Government and Departments on COVID-19. Data Inf. Manag. 4 (3) (2020)
Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He
Graph Factorization Machines for Cross-Domain Recommendation. CoRR (2020)
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. AAAI (2019)
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He
Multi-representation adaptation network for cross-domain image classification. Neural Networks 119 (2019)
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
A Comprehensive Survey on Transfer Learning. CoRR (2019)
Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) (2019)
Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He
Transfer Learning Toolkit: Primers and Benchmarks. CoRR (2019)
Lanzheng Liu, Rui Chu, Yongchun Zhu, Pengfei Zhang, Liufeng Wang
DMSS: A Dynamic Memory Scheduling System in Server Consolidation Environments. ISORC Workshops (2012)