Chunlin Tian - RankMe

43 papers A* 6A 1B 4Misc 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Federated Fine-Tuning of Large Language Models. Trans. Mach. Learn. Res. Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-Zhong Xu
2026	J	`jnl`	Floe: Federated Specialization for Real-Time LLM-SLM Inference. CoRR Chunlin Tian, Kahou Tam, Yebo Wu, Shuaihang Zhong, Li Li, Nicholas D. Lane, Cheng-Zhong Xu
2026	J	`jnl`	SutureAgent: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Space. CoRR Huanrong Liu, Chunlin Tian, Tongyu Jia, Tailai Zhou, Qin Liu, Yu Gao, Yutong Ban, Yun Gu, Guy Rosman, Xin Ma, Qingbiao Li
2025	—	`conf`	A One-Shot Floating-Point Compute-in-Memory Macro Featuring PVT Robustness and Mismatch Tolerance for Edge LLMs. CICC Yuanzhe Zhao, Heng Xie, Zijian Wang, Chunlin Tian, Li Li, Yan Zhu, Rui Paulo Martins, Chi-Hang Chan, Minglei Zhang
2025	J	`jnl`	A Survey on Federated Fine-tuning of Large Language Models. CoRR Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Li Li, Chengzhong Xu
2025	J	`jnl`	AsymLoRA: Harmonizing Data Conflicts and Commonalities in MLLMs. CoRR Xuyang Wei, Chunlin Tian, Li Li
2025	—	`conf`	CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge. USENIX ATC Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu
2025	J	`jnl`	CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge. CoRR Chunlin Tian, Xinpeng Qin, Kahou Tam, Li Li, Zijian Wang, Yuanzhe Zhao, Minglei Zhang, Chengzhong Xu
2025	J	`jnl`	FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. CoRR Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Cheng-Zhong Xu
2025	J	`jnl`	Less is More: Resource-Efficient Low-Rank Adaptation. CoRR Chunlin Tian, Xuyang Wei, Huanrong Liu, Zhijiang Guo, Li Li
2025	J	`jnl`	Memory-Efficient Federated Fine-Tuning of Large Language Models via Layer Pruning. CoRR Yebo Wu, Jingguang Li, Chunlin Tian, Zhijiang Guo, Li Li
2025	J	`jnl`	RAP: Runtime-Adaptive Pruning for LLM Inference. CoRR Huanrong Liu, Chunlin Tian, Xuyang Wei, Jiaheng Dai, Qin Liu, Tianqi Wei, Qingbiao Li, Li Li
2024	J	`jnl`	Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. CoRR Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Chengzhong Xu
2024	J	`jnl`	Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. IEEE Trans. Parallel Distributed Syst. Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Cheng-Zhong Xu
2024	J	`jnl`	Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training. CoRR Yebo Wu, Li Li, Chunlin Tian, Chengzhong Xu
2024	A*	`conf`	CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. ACM Multimedia Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Chunlin Tian, Kahou Tam, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. CoRR Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	A*	`conf`	FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
2024	J	`jnl`	FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
2024	Misc	`conf`	FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. SenSys Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Chengzhong Xu
2024	B	`conf`	FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control. IWQoS Jialiang Ma, Chunlin Tian, Li Li, Chengzhong Xu
2024	B	`conf`	GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning. IWQoS Chunlin Tian, Xinpeng Qin, Li Li
2024	B	`conf`	Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks. IWQoS Shichen Zhan, Yebo Wu, Chunlin Tian, Yan Zhao, Li Li
2024	J	`jnl`	Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks. CoRR Shichen Zhan, Yebo Wu, Chunlin Tian, Yan Zhao, Li Li
2024	B	`conf`	Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. IWQoS Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Chi Lin, Wang Cong, Cheng-Zhong Xu
2024	J	`jnl`	Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. CoRR Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Lin Chi, Wang Cong, Cheng-Zhong Xu
2024	A*	`conf`	HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. NeurIPS Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Cheng-Zhong Xu
2024	J	`jnl`	HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. CoRR Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu
2024	A	`conf`	Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. ECAI Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu
2024	J	`jnl`	Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. CoRR Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Chunlin Tian, Yuming Huang, Zilin Bian, Kaiqun Zhu, Guofa Li, Ziyuan Pu, Jia Hu, Zhiyong Cui, Chengzhong Xu
2024	J	`jnl`	NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training. CoRR Yebo Wu, Li Li, Chunlin Tian, Dubing Chen, Chengzhong Xu
2024	A*	`conf`	Ranking-based Client Imitation Selection for Efficient Federated Learning. ICML Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu
2024	J	`jnl`	Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning. CoRR Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu
2024	A*	`conf`	When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. ACM Multimedia Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2024	J	`jnl`	When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. CoRR Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
2023	J	`jnl`	Breaking On-device Training Memory Wall: A Systematic Survey. CoRR Shitian Li, Chunlin Tian, Kahou Tam, Rui Ma, Li Li
2023	—	`conf`	Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning. Tiny Papers @ ICLR Chunlin Tian, Zhan Shi, Li Li
2022	A*	`conf`	HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System. MICRO Chunlin Tian, Li Li, Zhan Shi, Jun Wang, Cheng-Zhong Xu
2018	—	`conf`	Aggregated Multimodal Bidirectional Recurrent Model for Audiovisual Speech Recognition. ICCCS (6) Yu Wen, Ke Yao, Chunlin Tian, Yao Wu, Zhongmin Zhang, Yaning Shi, Yin Tian, Jin Yang, Peiqi Wang
2018	J	`jnl`	Auxiliary Loss Multimodal GRU Model in Audio-Visual Speech Recognition. IEEE Access Yuan Yuan, Chunlin Tian, Xiaoqiang Lu
2018	J	`jnl`	Research on intelligent optimization of parameters of deurring process with fluid-impact to automobile master cylinder cross hole. J. Intell. Fuzzy Syst. Haiyan Hu, Jiandong Yang, Chunlin Tian
2017	J	`jnl`	Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading. CoRR Chunlin Tian, Weijun Ji, Yuan Yuan
2017	—	`conf`	Deep Temporal Architecture for Audiovisual Speech Recognition. CCCV (1) Chunlin Tian, Yuan Yuan, Xiaoqiang Lu