| 2026 | ACL | DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward. | Xiaobo Liang, Wanfu Wang, Qipeng Huang, Yuyang Ding, Zecheng Tang, Yixin Ji, Qianben Chen, Zhe Zhao, Kehai Chen, Juntao Li, Min Zhang |
| 2026 | ACL | When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning. | Yang Xiang, Yixin Ji, Ruotao Xu, Dan Qiao, Zheming Yang, Juntao Li, Min Zhang |
| 2026 | ACL | When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning. | Ruotao Xu, Yixin Ji, Yu Luo, Jinpeng Li, Dong Li, Peifeng Li, Juntao Li, Min Zhang |
| 2026 | EACL | GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection. | Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao |
| 2025 | ACL | GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. | Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang |
| 2025 | ICASSP | Adaptive-Similarity-Based Brain Dynamic Functional Connectivity with Spatial-Temporal Attention and Domain Adaptation for Schizophrenia Diagnosis. | Yixin Ji, Vince D. Calhoun, Rongtao Jiang, Daoqiang Zhang, Shile Qi |
| 2025 | ICLR | Beware of Calibration Data for Pruning Large Language Models. | Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang |
| 2025 | INLG | Taming the Titans: A Survey of Efficient LLM Inference Serving. | Ranran Zhen, Juntao Li, Yixin Ji, Zhenlin Yang, Tong Liu, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai, Min Zhang |
| 2025 | NAACL | CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. | Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo |
| 2024 | ACL | Demonstration Augmentation for Zero-shot In-context Learning. | Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Yan Bowen, Min Zhang |
| 2024 | CIKM | Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning. | Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu |
| 2024 | COLING | Exploring and Mitigating Shortcut Learning for Generative Large Language Models. | Zechen Sun, Yisheng Xiao, Juntao Li, Yixin Ji, Wenliang Chen, Min Zhang |
| 2024 | EMNLP | IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing. | Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen |
| 2024 | EMNLP | Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. | Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Jia Xu, Min Zhang |
| 2024 | EMNLP | Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. | Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang |
| 2024 | SIGIR | LLMGR: Large Language Model-based Generative Retrieval in Alipay Search. | Wei Chen, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu |
| 2023 | ACL | Early Exit with Disentangled Representation and Equiangular Tight Frame. | Yixin Ji, Jikai Wang, Juntao Li, Qiang Chen, Wenliang Chen, Min Zhang |
| 2023 | EMNLP | Isotropy-Enhanced Conditional Masked Language Models. | Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang |
| 2023 | EMNLP | Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models. | Yixin Ji, Jikai Wang, Juntao Li, Hai Ye, Min Zhang |
| 2023 | EMNLP | Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering. | Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang |
| 2020 | CVPR | Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN. | Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song |
| 2019 | CVPR | Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More. | Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song |
| 2019 | IJCAI | Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers. | Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song |
| 2018 | IJCAI | Semantic Locality-Aware Deformable Network for Clothing Segmentation. | Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui |