| 2026 | ACL | Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS. | Yue Zhao, Hongyan Li, Yong Chen, Luo Ji |
| 2026 | PAKDD | EmoFSM: A Finite State Machine for Emotional Support Conversation. | Yue Zhao, Qingqing Gu, Xiaoyu Wang, Teng Chen, Hongyan Li, Luo Ji |
| 2025 | ACL | Convert Language Model into a Value-based Strategic Planner. | Xiaoyu Wang, Yue Zhao, Qingqing Gu, Zhonglin Jiang, Yong Chen, Luo Ji |
| 2025 | ECIR | Large Language Model Can Be a Foundation for Hidden Rationale-Based Retrieval. | Luo Ji, Feixiang Guo, Teng Chen, Qingqing Gu, Xiaoyu Wang, Ningyuan Xi, Yihong Wang, Peng Yu, Yue Zhao, Hongyang Lei, Zhonglin Jiang, Yong Chen |
| 2025 | EMNLP | Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling. | Yue Zhao, Xiaoyu Wang, Dan Wang, Zhonglin Jiang, Qingqing Gu, Teng Chen, Ningyuan Xi, Jinxian Qu, Yong Chen, Luo Ji |
| 2025 | ICML | M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture. | Hongyang Lei, Xiaolong Cheng, Qi Qin, Dan Wang, Huazhen Huang, Qingqing Gu, Yetao Wu, Luo Ji |
| 2025 | IJCNN | Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation. | Xiaoyu Wang, Ningyuan Xi, Qingqing Gu, Luo Ji |
| 2025 | IJCNN | MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning. | Ningyuan Xi, Xiaoyu Wang, Yetao Wu, Teng Chen, Qingqing Gu, Luo Ji |
| 2025 | PAKDD | A Practice of Post-training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio. | Ningyuan Xi, Yetao Wu, Kun Fan, Teng Chen, Qingqing Gu, Luo Ji |
| 2025 | PRICAI | Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models. | Qingqing Gu, Dan Wang, Yue Zhao, Xiaoyu Wang, Zhonglin Jiang, Yong Chen, Luo Ji |
| 2024 | ECIR | An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation. | Luo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang |
| 2022 | CIKM | Intra-session Context-aware Feed Recommendation in Live Systems. | Luo Ji, Gao Liu, Mingyang Yin, Hongxia Yang |
| 2022 | WWW | Deep Unified Representation for Heterogeneous Recommendation. | Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang |
| 2021 | CIKM | Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation. | Luo Ji, Qi Qin, Bingqing Han, Hongxia Yang |