| 2026 | ACL | Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge. | Yebo Wu, Jingguang Li, Chunlin Tian, KaHou Tam, Zhijiang Guo, Li Li |
| 2025 | USENIX | CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge. | Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu |
| 2024 | ECAI | Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. | Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu |
| 2024 | ICML | Ranking-based Client Imitation Selection for Efficient Federated Learning. | Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu |
| 2024 | IJCAI | FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. | Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou |
| 2024 | IWQoS | FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control. | Jialiang Ma, Chunlin Tian, Li Li, Chengzhong Xu |
| 2024 | IWQoS | GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning. | Chunlin Tian, Xinpeng Qin, Li Li |
| 2024 | IWQoS | Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. | Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Chi Lin, Wang Cong, Cheng-Zhong Xu |
| 2024 | IWQoS | Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks. | Shichen Zhan, Yebo Wu, Chunlin Tian, Yan Zhao, Li Li |
| 2024 | SENSYS | FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. | Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Chengzhong Xu |
| 2023 | ICLR | Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning. | Chunlin Tian, Zhan Shi, Li Li |
| 2022 | MICRO | HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System. | Chunlin Tian, Li Li, Zhan Shi, Jun Wang, Cheng-Zhong Xu |