Yiqing Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
9
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 |
| 2026 | WSDM | CAT-ID | Xiaoyu Liu, Fuwei Zhang, Yiqing Wu, Xinyu Jia, Zenghua Xia, Fuzhen Zhuang, Zhao Zhang, Fei Jiang, Wei Lin |
| 2025 | AAAI | One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation. | Huishi Luo, Yiwen Chen, Yiqing Wu, Fuzhen Zhuang, Deqing Wang |
| 2025 | CIKM | A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation. | Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin |
| 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 | COLING | Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding. | Zhanpeng Guan, Zhao Zhang, Yiqing Wu, Fuwei Zhang, Yongjun Xu |
| 2025 | KDD | Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. | Yi Wen, Yue Liu, Derong Xu, Huishi Luo, Pengyue Jia, Yiqing Wu, Siwei Wang, Ke Liang, Maolin Wang, Yiqi Wang, Fuzhen Zhuang, Xiangyu Zhao |
| 2025 | WWW | Whitening-based Adversarial Bi-Regressor for Cross-platform Insurance Claims Prediction. | Xiaoyu Liu, Yiqing Wu, Dingyuan Zhu, Yifan Wu, Daixin Wang, Xiaobo Qin, Fuzhen Zhuang |
| 2025 | SIGIR | CDC: Causal Domain Clustering for Multi-Domain Recommendation. | Huishi Luo, Yiqing Wu, Yiwen Chen, Fuzhen Zhuang, Deqing Wang |
| 2024 | KDD | Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. | Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu |
| 2024 | KDD | DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. | Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu |
| 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 |
| 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 | SIGIR | Attacking Pre-trained Recommendation. | Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He |
| 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 | SIGIR | Selective Fairness in Recommendation via Prompts. | Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He |
| 2020 | ICDM | Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. | Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He |