Chunlin Tian

According to our database, Chunlin Tian authored at least 31 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RAP: Runtime-Adaptive Pruning for LLM Inference.

Huanrong Liu, Chunlin Tian, Xuyang Wei, Jiaheng Dai, Qin Liu, Tianqi Wei, Qingbiao Li, Li Li

CoRR, May, 2025

A Survey on Federated Fine-tuning of Large Language Models.

Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Li Li, Chengzhong Xu

CoRR, March, 2025

AsymLoRA: Harmonizing Data Conflicts and Commonalities in MLLMs.

Xuyang Wei, Chunlin Tian, Li Li

CoRR, February, 2025

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

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

A One-Shot Floating-Point Compute-in-Memory Macro Featuring PVT Robustness and Mismatch Tolerance for Edge LLMs.

Yuanzhe Zhao, Heng Xie, Zijian Wang, Chunlin Tian, Li Li, Yan Zhu, R. P. Martins, Chi-Hang Chan, Minglei Zhang

Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

2024

Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting.

Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Cheng-Zhong Xu

IEEE Trans. Parallel Distributed Syst., December, 2024

NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training.

Yebo Wu, Li Li, Chunlin Tian, Dubing Chen, Chengzhong Xu

CoRR, 2024

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing.

Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Lin Chi, Wang Cong, Cheng-Zhong Xu

CoRR, 2024

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.

Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, KaHou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li

CoRR, 2024

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.

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

CoRR, 2024

Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning.

Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu

CoRR, 2024

Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training.

Yebo Wu, Li Li, Chunlin Tian, Chengzhong Xu

CoRR, 2024

FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management.

Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Chengzhong Xu

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.

Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Cheng-Zhong Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.

Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Chunlin Tian, KaHou Tam, Li Li, Chengzhong Xu, Zhenning Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.

Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks.

Shichen Zhan, Yebo Wu, Chunlin Tian, Yan Zhao, Li Li

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

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

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning.

Chunlin Tian, Xinpeng Qin, Li Li

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control.

Jialiang Ma, Chunlin Tian, Li Li, Chengzhong Xu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Ranking-based Client Imitation Selection for Efficient Federated Learning.

Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Breaking On-device Training Memory Wall: A Systematic Survey.

Shitian Li, Chunlin Tian, Kahou Tam, Rui Ma, Li Li

CoRR, 2023

Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning.

Chunlin Tian, Zhan Shi, Li Li

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System.

Chunlin Tian, Li Li, Zhan Shi, Jun Wang, Cheng-Zhong Xu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

2018

Research on intelligent optimization of parameters of deurring process with fluid-impact to automobile master cylinder cross hole.

Haiyan Hu, Jiandong Yang, Chunlin Tian

J. Intell. Fuzzy Syst., 2018

Auxiliary Loss Multimodal GRU Model in Audio-Visual Speech Recognition.

Yuan Yuan, Chunlin Tian, Xiaoqiang Lu

IEEE Access, 2018

Aggregated Multimodal Bidirectional Recurrent Model for Audiovisual Speech Recognition.

Yu Wen, Ke Yao, Chunlin Tian, Yao Wu, Zhongmin Zhang, Yaning Shi, Yin Tian, Jin Yang, Peiqi Wang

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017

Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading.

Chunlin Tian, Weijun Ji, Yuan Yuan

CoRR, 2017

Deep Temporal Architecture for Audiovisual Speech Recognition.

Chunlin Tian, Yuan Yuan, Xiaoqiang Lu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017