| HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System C Tian, L Li, Z Shi, J Wang, CZ Xu MICRO 2022, 2022 | 12 | 2022 |
| FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization Z Ning*, C Tian*, M Xiao, W Fan, P Wang, L Li, P Wang, Y Zhou IJCAI 2024, 2024 | 2 | 2024 |
| Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning C Tian, Z Shi, L Li ICLR 2023, Tiny Papers Track, 2023 | 2 | 2023 |
| Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning C Tian, Z Shi, X Qin, L Li, C Xu ICML 2024, 2024 | 1 | 2024 |
| Breaking the Memory Wall for Heterogeneous Federated Learning with Progressive Training Y Wu, L Li, C Tian, C Xu arXiv preprint arXiv:2404.13349, 2024 | 1 | 2024 |
| CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions H Liao, H Sun, H Shen, C Wang, K Tam, C Tian, L Li, C Xu, Z Li arXiv preprint arXiv:2407.17757, 2024 | | 2024 |
| When, Where, and What? An Novel Benchmark for Accident Anticipation and Localization with Large Language Models H Liao, Y Li, C Wang, Y Guan, KH Tam, C Tian, L Li, C Xu, Z Li arXiv preprint arXiv:2407.16277, 2024 | | 2024 |
| Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction H Liao, Y Li, Z Li, C Wang, C Tian, Y Huang, Z Bian, K Zhu, G Li, Z Pu, ... ECAI 2024, 2024 | | 2024 |
| HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning C Tian, Z Shi, Z Guo, L Li, C Xu arXiv preprint arXiv:2404.19245, 2024 | | 2024 |
| Breaking On-device Training Memory Wall: A Systematic Survey S Li, C Tian, K Tam, R Ma, L Li IJCAI 2023, Workshop, 2023 | | 2023 |
| When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models H Liao, Y Li, Z Li, C Wang, Y Guan, KH Tam, C Tian, L Li, C Xu ACM Multimedia 2024, 0 | | |
Li LiUniversity of Macau在 um.edu.mo 的电子邮件经过验证
