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2020 – today
- 2024
[j3]Chunlin Tian
, Li Li, Kahou Tam, Yebo Wu, Cheng-Zhong Xu:
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. IEEE Trans. Parallel Distributed Syst. 35(12): 2513-2526 (2024)- [c15]Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu:
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. ECAI 2024: 4361-4368 - [c14]Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu:
Ranking-based Client Imitation Selection for Efficient Federated Learning. ICML 2024 - [c13]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI 2024: 4760-4768 - [c12]Jialiang Ma, Chunlin Tian, Li Li, Chengzhong Xu:
FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control. IWQoS 2024: 1-10 - [c11]Chunlin Tian, Xinpeng Qin, Li Li:
GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning. IWQoS 2024: 1-2 - [c10]Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Chi Lin, Wang Cong, Cheng-Zhong Xu:
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. IWQoS 2024: 1-10 - [c9]Shichen Zhan, Yebo Wu, Chunlin Tian, Yan Zhao, Li Li:
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks. IWQoS 2024: 1-10 - [c8]Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li:
When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. ACM Multimedia 2024: 8-17 - [c7]Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Chunlin Tian, KaHou Tam, Li Li, Chengzhong Xu, Zhenning Li:
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. ACM Multimedia 2024: 11041-11050 - [c6]Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Cheng-Zhong Xu:
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. NeurIPS 2024 - [c5]Kahou Tam, Chunlin Tian, Li Li, Haikai Zhao, Chengzhong Xu:
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. SenSys 2024: 394-408 - [i13]Yebo Wu, Li Li, Chunlin Tian, Chengzhong Xu:
Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training. CoRR abs/2404.13349 (2024) - [i12]Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu:
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. CoRR abs/2404.19245 (2024) - [i11]Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu:
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning. CoRR abs/2405.04122 (2024) - [i10]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR abs/2405.06312 (2024) - [i9]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:
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. CoRR abs/2407.07020 (2024) - [i8]Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, KaHou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li:
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. CoRR abs/2407.16277 (2024) - [i7]Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li:
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. CoRR abs/2407.17757 (2024) - [i6]Yebo Wu, Li Li, Chunlin Tian, Chang Tao, Lin Chi, Wang Cong, Cheng-Zhong Xu:
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. CoRR abs/2408.09101 (2024) - [i5]Yebo Wu, Li Li, Chunlin Tian, Dubing Chen, Chengzhong Xu:
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training. CoRR abs/2408.10826 (2024) - [i4]Shichen Zhan, Yebo Wu, Chunlin Tian, Yan Zhao, Li Li:
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks. CoRR abs/2409.07202 (2024) - [i3]Chunlin Tian, Li Li, Kahou Tam, Yebo Wu, Chengzhong Xu:
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. CoRR abs/2410.11577 (2024) - 2023
- [c4]Chunlin Tian, Zhan Shi, Li Li:
Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning. Tiny Papers @ ICLR 2023 - [i2]Shitian Li, Chunlin Tian, Kahou Tam, Rui Ma, Li Li:
Breaking On-device Training Memory Wall: A Systematic Survey. CoRR abs/2306.10388 (2023) - 2022
- [c3]Chunlin Tian, Li Li, Zhan Shi, Jun Wang, Cheng-Zhong Xu:
HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System. MICRO 2022: 631-645
2010 – 2019
- 2018
- [j2]Yuan Yuan, Chunlin Tian, Xiaoqiang Lu:
Auxiliary Loss Multimodal GRU Model in Audio-Visual Speech Recognition. IEEE Access 6: 5573-5583 (2018) - [j1]Haiyan Hu, Jiandong Yang, Chunlin Tian:
Research on intelligent optimization of parameters of deurring process with fluid-impact to automobile master cylinder cross hole. J. Intell. Fuzzy Syst. 35(1): 315-323 (2018) - [c2]Yu Wen, Ke Yao, Chunlin Tian, Yao Wu, Zhongmin Zhang, Yaning Shi, Yin Tian, Jin Yang, Peiqi Wang:
Aggregated Multimodal Bidirectional Recurrent Model for Audiovisual Speech Recognition. ICCCS (6) 2018: 380-391 - 2017
- [c1]Chunlin Tian, Yuan Yuan, Xiaoqiang Lu:
Deep Temporal Architecture for Audiovisual Speech Recognition. CCCV (1) 2017: 650-661 - [i1]Chunlin Tian, Weijun Ji, Yuan Yuan:
Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading. CoRR abs/1701.04224 (2017)
Coauthor Index
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