| 2026 | AAAI | Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation. | Yeqin Zhang, Yizheng Zhao, Chen Hu, Binxing Jiao, Daxin Jiang, Ruihang Miao, Cam-Tu Nguyen |
| 2025 | EMNLP | MLAlgo-Bench: Can Machines Implement Machine Learning Algorithms? | Yunfei Wang, Yeqin Zhang, Yuyang Wu, Liang Lu, Phi Le Nguyen, Xiaoliang Wang, Nguyen Cam-Tu |
| 2024 | AAAI | Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization. | Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen |
| 2024 | EMNLP | Retrospex: Language Agent Meets Offline Reinforcement Learning Critic. | Yufei Xiang, Yiqun Shen, Yeqin Zhang, Cam-Tu Nguyen |
| 2023 | ICASSP | Coarse-To-Fine Knowledge Selection for Document Grounded Dialogs. | Yeqin Zhang, Haomin Fu, Cheng Fu, Haiyang Yu, Yongbin Li, Cam-Tu Nguyen |
| 2023 | ICONIP | Long Short-Term Planning for Conversational Recommendation Systems. | Xian Li, Hongguang Shi, Yunfei Wang, Yeqin Zhang, Xubin Li, Cam-Tu Nguyen |
| 2022 | EMNLP | Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots. | Haomin Fu, Yeqin Zhang, Haiyang Yu, Jian Sun, Fei Huang, Luo Si, Yongbin Li, Cam-Tu Nguyen |
| 2015 | AAAI | TDS+: Improving Temperature Discovery Search. | Yeqin Zhang, Martin Mller |