Yongchun Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
12
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters. | Hongwei Zheng, Weiqi Wu, Zhengjia Wang, Guanyu Jiang, Haoming Li, Tianyu Wu, Yongchun Zhu, Jingwu Chen, Feng Zhang |
| 2026 | SIGIR | Cross-Domain Preference Transfer for Promoting Engagement with Built-in Chatbots. | Tianyu Wu, Guanyu Jiang, Hongwei Zheng, Haoming Li, Yongchun Zhu, Jingwu Chen, Feng Zhang |
| 2026 | SIGIR | Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling. | Yiqing Wu, Haoming Li, Guanyu Jiang, Jiahao Liang, Yongchun Zhu, Jingwu Chen, Feng Zhang |
| 2025 | CIKM | ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. | Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong |
| 2025 | CIKM | Asymmetric Diffusion Recommendation Model. | Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Xiao Yang, Zuotao Liu |
| 2025 | DASFAA | AdaF | Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu |
| 2025 | WWW | Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System. | Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Qi Wu, Zuotao Liu |
| 2024 | DASFAA | SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. | Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Ying Sun, Weiqiang Wang, Deqing Wang |
| 2024 | KDD | Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. | Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu |
| 2024 | SIGIR | Interest Clock: Time Perception in Real-Time Streaming Recommendation System. | Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu |
| 2023 | ACL | 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 |
| 2023 | KDD | 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 |
| 2023 | KDD | 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 |
| 2023 | WWW | CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. | Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng |
| 2023 | SIGIR | Attacking Pre-trained Recommendation. | Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He |
| 2022 | ACL | Zoom Out and Observe: News Environment Perception for Fake News Detection. | Qiang Sheng, Juan Cao, Xueyao Zhang, Rundong Li, Danding Wang, Yongchun Zhu |
| 2022 | COLING | 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 |
| 2022 | DASFAA | 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 |
| 2022 | IJCAI | 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 |
| 2022 | SIGIR | User-Centric Conversational Recommendation with Multi-Aspect User Modeling. | Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He |
| 2022 | SIGIR | Selective Fairness in Recommendation via Prompts. | Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He |
| 2022 | SIGIR | Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. | Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang |
| 2022 | WSDM | 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 |
| 2021 | AAAI | 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 |
| 2021 | CIKM | MDFEND: Multi-domain Fake News Detection. | Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li |
| 2021 | KDD | 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 |
| 2021 | KDD | 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 |
| 2021 | SIGIR | 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 |
| 2021 | SIGIR | 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 |
| 2020 | WWW | 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 |
| 2020 | SIGIR | 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 |
| 2019 | AAAI | Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. | Yongchun Zhu, Fuzhen Zhuang, Deqing Wang |
| 2019 | PAKDD | Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. | Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He |
| 2012 | ISORC | DMSS: A Dynamic Memory Scheduling System in Server Consolidation Environments. | Lanzheng Liu, Rui Chu, Yongchun Zhu, Pengfei Zhang, Liufeng Wang |