Li Li - RankMe

87 papers A* 11A 7B 12Misc 1Journal 40Unranked 16

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
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	—	`conf`	AssyLLM: Efficient Federated Fine-tuning of LLMs via Assembling Pre-trained Blocks. USENIX ATC Shichen Zhan, Li Li, Chengzhong Xu
2025	J	`jnl`	AsymLoRA: Harmonizing Data Conflicts and Commonalities in MLLMs. CoRR Xuyang Wei, Chunlin Tian, Li Li
2025	J	`jnl`	Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU. CoRR He Sun, Li Li, Mingjun Xiao, Chengzhong Xu
2025	—	`conf`	Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training. KDD (1) Yebo Wu, Li Li, Cheng-Zhong Xu
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	B	`conf`	EICopilot: Search and Explore Enterprise Information Over Large-Scale Knowledge Graphs with LLM-Driven Agents. IEEE Big Data Yuhui Yun, Huilong Ye, Jingfeng Deng, Ruojia Li, Xinru Li, Li Li, Haoyi Xiong
2025	J	`jnl`	EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents. CoRR Yuhui Yun, Huilong Ye, Xinru Li, Ruojia Li, Jingfeng Deng, Li Li, Haoyi Xiong
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`	Federated Noisy Client Learning. IEEE Trans. Neural Networks Learn. Syst. Kahou Tam, Li Li, Bo Han, Cheng-Zhong Xu, Huazhu Fu
2025	A	`conf`	HCInfer: Hierarchical Coordination for Real-Time Collaborative Inference of LLM on the Edge. RTSS Kaiyuan Liu, Lizi Zhang, Chengzhong Xu, Li Li
2025	J	`jnl`	Noise-Robust Federated Learning via Interclient Co-Distillation. IEEE Trans. Neural Networks Learn. Syst. Liang Gao, Li Li, Yingwen Chen, Shaojing Fu, Dongsheng Wang, Siwei Wang, Cheng-Zhong Xu, Ming Xu
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
2025	J	`jnl`	m$^{2}$2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices. IEEE Trans. Parallel Distributed Syst. Kaiyuan Liu, Xiaobo Zhou, Li Li
2024	—	`conf`	A 28nm 314.6TLFOPS/W Reconfigurable Floating-Point Analog Compute-In-Memory Macro with Exponent Approximation and Two-Stage Sharing TD-ADC. CICC Pengyu He, Yuanzhe Zhao, Heng Xie, Yang Wang, Shouyi Yin, Li Li, Yan Zhu, Rui Paulo Martins, Chi-Hang Chan, Minglei Zhang
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	B	`conf`	FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning. IWQoS Meihan Wu, Li Li, Tao Chang, Peng Qiao, Cui Miao, Jie Zhou, Jingnan Wang, Xiaodong Wang
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	J	`jnl`	NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training. CoRR Yebo Wu, Li Li, Chunlin Tian, Dubing Chen, Chengzhong Xu
2024	B	`conf`	PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity. IWQoS Meihan Wu, Li Li, Tao Chang, Jie Zhou, Eric Rigall, Cui Miao, Xiaodong Wang, 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	J	`jnl`	Towards Federated Domain Unlearning: Verification Methodologies and Challenges. CoRR Kahou Tam, Kewei Xu, Li Li, Huazhu Fu
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`	A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices. IEEE Trans. Mob. Comput. Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang
2023	J	`jnl`	AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving. IEEE Trans. Parallel Distributed Syst. Jialiang Ma, Li Li, Cheng-Zhong Xu
2023	J	`jnl`	Breaking On-device Training Memory Wall: A Systematic Survey. CoRR Shitian Li, Chunlin Tian, Kahou Tam, Rui Ma, Li Li
2023	A	`conf`	FedCoop: Cooperative Federated Learning for Noisy Labels. ECAI Kahou Tam, Li Li, Yan Zhao, Chengzhong Xu
2023	B	`conf`	FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning. SECON Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang
2023	J	`jnl`	GraphCS: Graph-based client selection for heterogeneity in federated learning. J. Parallel Distributed Comput. Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, Cheng-Zhong Xu
2023	A	`conf`	HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles. ICDCS Jialiang Ma, Li Li, Zejiang Wang, Jun Wang, Chengzhong Xu
2023	—	`conf`	Learn to Select: Efficient Cross-device Federated Learning via Reinforcement Learning. Tiny Papers @ ICLR Chunlin Tian, Zhan Shi, Li Li
2023	J	`jnl`	PAGroup: Privacy-aware grouping framework for high-performance federated learning. J. Parallel Distributed Comput. Tao Chang, Li Li, Meihan Wu, Wei Yu, Xiaodong Wang, Chengzhong Xu
2023	J	`jnl`	SmartDL: energy-aware decremental learning in a mobile-based federation for geo-spatial system. Neural Comput. Appl. Wenting Zou, Li Li, Zichen Xu, Dan Wu, Cheng-Zhong Xu, Yuhao Wang, Haoyang Zhu, Xiao Sun
2022	J	`jnl`	FGFL: A blockchain-based fair incentive governor for Federated Learning. J. Parallel Distributed Comput. Liang Gao, Li Li, Yingwen Chen, Cheng-Zhong Xu, Ming Xu
2022	A	`conf`	FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction. CIKM Meihan Wu, Li Li, Chang Tao, Eric Rigall, Xiaodong Wang, Cheng-Zhong Xu
2022	A*	`conf`	FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. CVPR Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu
2022	J	`jnl`	FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. CoRR Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu
2022	B	`conf`	FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity. SMC Guanghao Li, Yue Hu, Miao Zhang, Li Li, Tao Chang, Quanjun Yin
2022	A*	`conf`	HARMONY: Heterogeneity-Aware Hierarchical Management for Federated Learning System. MICRO Chunlin Tian, Li Li, Zhan Shi, Jun Wang, Cheng-Zhong Xu
2022	J	`jnl`	Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy. IEEE Trans. Dependable Secur. Comput. Xing Gao, Guannan Liu, Zhang Xu, Haining Wang, Li Li, Xiaorui Wang
2022	A	`conf`	LoADPart: Load-Aware Dynamic Partition of Deep Neural Networks for Edge Offloading. ICDCS Hongzhou Liu, Wenli Zheng, Li Li, Minyi Guo
2022	J	`jnl`	Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet Things J. Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo
2022	J	`jnl`	Performance optimization of autonomous driving control under end-to-end deadlines. Real Time Syst. Yunhao Bai, Li Li, Zejiang Wang, Xiaorui Wang, Junmin Wang
2021	J	`jnl`	DEAL: Decremental Energy-Aware Learning in a Federated System. CoRR Wenting Zou, Li Li, Zichen Xu, Chengzhong Xu
2021	J	`jnl`	Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales. Concurr. Comput. Pract. Exp. Baoxin Zhao, Cheng-Zhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li
2021	B	`conf`	FIFL: A Fair Incentive Mechanism for Federated Learning. ICPP Liang Gao, Li Li, Yingwen Chen, Wenli Zheng, Chengzhong Xu, Ming Xu
2021	J	`jnl`	Federated Noisy Client Learning. CoRR Li Li, Huazhu Fu, Bo Han, Cheng-Zhong Xu, Ling Shao
2021	A*	`conf`	SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance. INFOCOM Li Li, Xiaorui Wang, Wenli Zheng, Cheng-Zhong Xu
2020	—	`conf`	FLSim: An Extensible and Reusable Simulation Framework for Federated Learning. SimuTools (1) Li Li, Jun Wang, Chengzhong Xu
2020	—	`conf`	HySync: Hybrid Federated Learning with Effective Synchronization. HPCC/DSS/SmartCity Guomei Shi, Li Li, Jun Wang, Wenyan Chen, Kejiang Ye, Chengzhong Xu
2020	B	`conf`	Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning. IWQoS Li Li, Jun Wang, Xu Chen, Cheng-Zhong Xu
2019	—	`conf`	A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales. IEEE BigData Baoxin Zhao, Chengzhong Xu, Siyuan Liu, Juanjuan Zhao, Li Li
2019	A*	`conf`	Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop. ACM Multimedia Cong Wang, Yanru Xiao, Xing Gao, Li Li, Jun Wang
2019	—	`conf`	Exploring federated learning on battery-powered devices. ACM TUR-C Zichen Xu, Li Li, Wenting Zou
2019	B	`conf`	FFD: A Federated Learning Based Method for Credit Card Fraud Detection. BigData Wensi Yang, Yuhang Zhang, Kejiang Ye, Li Li, Cheng-Zhong Xu
2019	A	`conf`	SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. RTSS Li Li, Haoyi Xiong, Zhishan Guo, Jun Wang, Cheng-Zhong Xu
2018	A*	`conf`	Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center. NDSS Xing Gao, Zhang Xu, Haining Wang, Li Li, Xiaorui Wang
2017	J	`jnl`	PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization. IEEE Trans. Netw. Serv. Manag. Kuangyu Zheng, Wenli Zheng, Li Li, Xiaorui Wang
2017	A	`conf`	SceneMan: Bridging mobile apps with system energy manager via scenario notification. ISLPED Li Li, Jun Wang, Xiaorui Wang, Handong Ye, Ziang Hu
2017	—	`conf`	Selective Checkpointing for Minimizing Recovery Efforts of Smartphone Apps. ICAC Li Li, Yunhao Bai, Xiaorui Wang, Mai Zheng, Feng Qin
2017	—	`conf`	Selective checkpointing for minimizing recovery energy and efforts of smartphone apps. IGSC Li Li, Yunhao Bai, Xiaorui Wang, Mai Zheng, Feng Qin
2017	—	`conf`	Why "Some" Like It Hot Too: Thermal Attack on Data Centers. SIGMETRICS (Abstracts) Xing Gao, Zhang Xu, Haining Wang, Li Li, Xiaorui Wang
2017	—	`conf`	eDelta: Pinpointing energy deviations in smartphone apps via comparative trace analysis. IGSC Li Li, Bruce Beitman, Mai Zheng, Xiaorui Wang, Feng Qin
2016	J	`jnl`	Data center power minimization with placement optimization of liquid-cooled servers and free air cooling. Sustain. Comput. Informatics Syst. Li Li, Wenli Zheng, Xiaodong Wang, Xiaorui Wang
2014	—	`conf`	Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization. ICAC Li Li, Wenli Zheng, Xiaodong Wang, Xiaorui Wang
2014	A*	`conf`	Joint power optimization of data center network and servers with correlation analysis. INFOCOM Kuangyu Zheng, Xiaodong Wang, Li Li, Xiaorui Wang
2014	—	`conf`	Placement optimization of liquid-cooled servers for power minimization in data centers. IGCC Li Li, Wenli Zheng, Xiaodong Wang, Xiaorui Wang