Deep Temporal Architecture for Audiovisual Speech Recognition. - Chunlin Tian; Yuan Yuan 001; Xiaoqiang Lu (CCCV (1), 2017)

Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading. - Chunlin Tian; Weijun Ji; Yuan Yuan (CoRR, 2017)

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 002 (ICCCS (6), 2018)

Auxiliary Loss Multimodal GRU Model in Audio-Visual Speech Recognition. - Yuan Yuan 001; Chunlin Tian; Xiaoqiang Lu (IEEE Access, 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)

HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System. - Chunlin Tian; Li Li 064; Zhan Shi; Jun Wang 001; Cheng-Zhong Xu 001 (MICRO, 2022)

Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning. - Chunlin Tian; Zhan Shi; Li Li 064 (Tiny Papers @ ICLR, 2023)

Breaking On-device Training Memory Wall: A Systematic Survey. - Shitian Li; Chunlin Tian; Kahou Tam; Rui Ma; Li Li 064 (CoRR, 2023)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Guofa Li; Chunlin Tian; Zilin Bian; Kaiqun Zhu; Zhiyong Cui; Jia Hu 003 (ECAI, 2024)

Ranking-based Client Imitation Selection for Efficient Federated Learning. - Chunlin Tian; Zhan Shi; Xinpeng Qin; Li Li 064; Chengzhong Xu 001 (ICML, 2024)

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. - Zhiyuan Ning; Chunlin Tian; Meng Xiao 001; Wei Fan 010; Pengyang Wang; Li Li 064; Pengfei Wang 008; Yuanchun Zhou (IJCAI, 2024)

FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control. - Jialiang Ma; Chunlin Tian; Li Li 064; Chengzhong Xu 001 (IWQoS, 2024)

GreenLLM: Towards Efficient Large Language Model via Energy-aware Pruning. - Chunlin Tian; Xinpeng Qin; Li Li 064 (IWQoS, 2024)

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. - Yebo Wu; Li Li 064; Chunlin Tian; Chang Tao; Chi Lin; Wang Cong; Cheng-Zhong Xu 001 (IWQoS, 2024)

Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks. - Shichen Zhan; Yebo Wu; Chunlin Tian; Yan Zhao; Li Li 064 (IWQoS, 2024)

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; Kahou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li (ACM Multimedia, 2024)

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. - Haicheng Liao; Haoyu Sun; Huanming Shen; Chengyue Wang 001; Chunlin Tian; KaHou Tam; Li Li 064; Chengzhong Xu 001; Zhenning Li (ACM Multimedia, 2024)

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning. - Chunlin Tian; Zhan Shi; Zhijiang Guo; Li Li 064; Cheng-Zhong Xu 001 (NeurIPS, 2024)

FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management. - Kahou Tam; Chunlin Tian; Li Li 064; Haikai Zhao; Chengzhong Xu 001 (SenSys, 2024)

Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training. - Yebo Wu; Li Li 064; Chunlin Tian; Chengzhong Xu 001 (CoRR, 2024)

Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning. - Chunlin Tian; Zhan Shi; Xinpeng Qin; Li Li 064; Chengzhong Xu 001 (CoRR, 2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Chunlin Tian; Yuming Huang; Zilin Bian; Kaiqun Zhu; Guofa Li; Ziyuan Pu; Jia Hu 003; Zhiyong Cui; et al. (CoRR, 2024)

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; KaHou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li (CoRR, 2024)

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing. - Yebo Wu; Li Li 064; Chunlin Tian; Chang Tao; Lin Chi; Wang Cong; Cheng-Zhong Xu 001 (CoRR, 2024)

NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training. - Yebo Wu; Li Li 064; Chunlin Tian; Dubing Chen; Chengzhong Xu 001 (CoRR, 2024)

Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting. - Chunlin Tian; Li Li 064; Kahou Tam; Yebo Wu; Cheng-Zhong Xu 001 (IEEE Trans. Parallel Distributed Syst., 2024)

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 064; Yan Zhu 001; R. P. Martins; Chi-Hang Chan; Minglei Zhang (CICC, 2025)

CLONE: Customizing LLMs for Efficient Latency-Aware Inference at the Edge. - Chunlin Tian; Xinpeng Qin; Kahou Tam; Li Li 064; Zijian Wang; Yuanzhe Zhao; Minglei Zhang; Chengzhong Xu 001 (USENIX ATC, 2025)

AsymLoRA: Harmonizing Data Conflicts and Commonalities in MLLMs. - Xuyang Wei; Chunlin Tian; Li Li 064 (CoRR, 2025)

A Survey on Federated Fine-tuning of Large Language Models. - Yebo Wu; Chunlin Tian; Jingguang Li; He Sun; Kahou Tam; Li Li 064; Chengzhong Xu 001 (CoRR, 2025)

RAP: Runtime-Adaptive Pruning for LLM Inference. - Huanrong Liu; Chunlin Tian; Xuyang Wei; Jiaheng Dai; Qin Liu; Tianqi Wei; Qingbiao Li; Li Li 064 (CoRR, 2025)