| 2026 | AAAI | BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation. | Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang |
| 2026 | WSDM | TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning. | Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu |
| 2025 | AAAI | Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. | Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen |
| 2025 | CIKM | TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models. | Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li |
| 2025 | IJCAI | Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. | Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li |
| 2025 | RecSys | Tag-augmented Dual-target Cross-domain Recommendation. | Mingfan Pan, Qingyang Mao, Xu An, Jianhui Ma, Gang Zhou, Mingyue Cheng, Enhong Chen |
| 2024 | DASFAA | Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. | Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng |
| 2024 | WWW | Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. | Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao |
| 2024 | SIGIR | Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. | Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang |