| 2026 | ISCAS | A Wavelet-Enhanced Neural Network with Knowledge Distillation for MCU-Based Fingerprint Liveness Detection. | Zhengwu Li, Kaixiang Lin, Xiaojin Zhao, Wenbin Ye |
| 2025 | EMNLP | Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs. | Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika, Kaixiang Lin, Mingyi Hong, Mahdi Namazifar |
| 2025 | ICLR | Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. | Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin |
| 2025 | ICML | Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents. | Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li |
| 2024 | ACL | Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk. | Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Lijia Sun, Xibin Gao, Yi Zhang |
| 2024 | EMNLP | Socratic Human Feedback (SoHF): Expert Steering Strategies for LLM Code Generation. | Subramanian Chidambaram, Li Erran Li, Min Bai, Xiaopeng Li, Kaixiang Lin, Xiong Zhou, Alex C. Williams |
| 2023 | EMNLP | Automated Few-Shot Classification with Instruction-Finetuned Language Models. | Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson |
| 2022 | AAAI | Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. | Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou |
| 2022 | IROS | Learning to Act with Affordance-Aware Multimodal Neural SLAM. | Zhiwei Jia, Kaixiang Lin, Yizhou Zhao, Qiaozi Gao, Govind Thattai, Gaurav S. Sukhatme |
| 2021 | IJCAI | RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. | Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou |
| 2020 | ICLR | Ranking Policy Gradient. | Kaixiang Lin, Jiayu Zhou |
| 2018 | KDD | Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. | Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou |
| 2017 | KDD | Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. | Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou |
| 2016 | ICDM | Interactive Multi-task Relationship Learning. | Kaixiang Lin, Jiayu Zhou |
| 2016 | KDD | Multi-Task Feature Interaction Learning. | Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou |
| 2016 | SDM | Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. | Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou |