Placement optimization of liquid-cooled servers for power minimization in data centers. - Li Li 064; Wenli Zheng; Xiaodong Wang 007; Xiaorui Wang (IGCC, 2014)

Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization. - Li Li 064; Wenli Zheng; Xiaodong Wang 007; Xiaorui Wang (ICAC, 2014)

Joint power optimization of data center network and servers with correlation analysis. - Kuangyu Zheng; Xiaodong Wang 007; Li Li 064; Xiaorui Wang (INFOCOM, 2014)

Data center power minimization with placement optimization of liquid-cooled servers and free air cooling. - Li Li 064; Wenli Zheng; Xiaodong Wang 007; Xiaorui Wang (Sustain. Comput. Informatics Syst., 2016)

Selective checkpointing for minimizing recovery energy and efforts of smartphone apps. - Li Li 064; Yunhao Bai; Xiaorui Wang; Mai Zheng; Feng Qin (IGSC, 2017)

eDelta: Pinpointing energy deviations in smartphone apps via comparative trace analysis. - Li Li 064; Bruce Beitman; Mai Zheng; Xiaorui Wang; Feng Qin (IGSC, 2017)

Selective Checkpointing for Minimizing Recovery Efforts of Smartphone Apps. - Li Li 064; Yunhao Bai; Xiaorui Wang; Mai Zheng; Feng Qin (ICAC, 2017)

SceneMan: Bridging mobile apps with system energy manager via scenario notification. - Li Li 064; Jun Wang 077; Xiaorui Wang; Handong Ye; Ziang Hu (ISLPED, 2017)

Why "Some" Like It Hot Too: Thermal Attack on Data Centers. - Xing Gao 001; Zhang Xu; Haining Wang 001; Li Li 064; Xiaorui Wang (SIGMETRICS (Abstracts), 2017)

PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization. - Kuangyu Zheng; Wenli Zheng; Li Li 064; Xiaorui Wang (IEEE Trans. Netw. Serv. Manag., 2017)

Reduced Cooling Redundancy: A New Security Vulnerability in a Hot Data Center. - Xing Gao 001; Zhang Xu; Haining Wang 001; Li Li 064; Xiaorui Wang (NDSS, 2018)

Exploring federated learning on battery-powered devices. - Zichen Xu 001; Li Li 064; Wenting Zou (ACM TUR-C, 2019)

FFD: A Federated Learning Based Method for Credit Card Fraud Detection. - Wensi Yang; Yuhang Zhang 010; Kejiang Ye; Li Li 064; Cheng-Zhong Xu 001 (BigData, 2019)

A Congestion Diffusion Model with Influence Maximization for Traffic Bottlenecks Identification in Metrocity Scales. - Baoxin Zhao; Chengzhong Xu 001; Siyuan Liu; Juanjuan Zhao; Li Li 064 (IEEE BigData, 2019)

Close the Gap between Deep Learning and Mobile Intelligence by Incorporating Training in the Loop. - Cong Wang 006; Yanru Xiao; Xing Gao 001; Li Li 064; Jun Wang 077 (ACM Multimedia, 2019)

SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System. - Li Li 064; Haoyi Xiong; Zhishan Guo; Jun Wang 001; Cheng-Zhong Xu 001 (RTSS, 2019)

HySync: Hybrid Federated Learning with Effective Synchronization. - Guomei Shi; Li Li 064; Jun Wang 001; Wenyan Chen 001; Kejiang Ye; Chengzhong Xu 001 (HPCC/DSS/SmartCity, 2020)

Multi-layer Coordination for High-Performance Energy-Efficient Federated Learning. - Li Li 064; Jun Wang 001; Xu Chen; Cheng-Zhong Xu 001 (IWQoS, 2020)

FLSim: An Extensible and Reusable Simulation Framework for Federated Learning. - Li Li 064; Jun Wang 001; Chengzhong Xu 001 (SimuTools (1), 2020)

FIFL: A Fair Incentive Mechanism for Federated Learning. - Liang Gao; Li Li 064; Yingwen Chen 001; Wenli Zheng; Chengzhong Xu 001; Ming Xu 002 (ICPP, 2021)

SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance. - Li Li 064; Xiaorui Wang; Wenli Zheng; Cheng-Zhong Xu 001 (INFOCOM, 2021)

Dynamic traffic bottlenecks identification based on congestion diffusion model by influence maximization in metro-city scales. - Baoxin Zhao; Cheng-Zhong Xu 001; Siyuan Liu; Juanjuan Zhao; Li Li 064 (Concurr. Comput. Pract. Exp., 2021)

DEAL: Decremental Energy-Aware Learning in a Federated System. - Wenting Zou; Li Li 064; Zichen Xu 001; Chengzhong Xu 001 (CoRR, 2021)

Federated Noisy Client Learning. - Li Li 064; Huazhu Fu; Bo Han 003; Cheng-Zhong Xu 001; Ling Shao 001 (CoRR, 2021)

FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction. - Meihan Wu; Li Li 064; Chang Tao; Eric Rigall; Xiaodong Wang 002; Cheng-Zhong Xu 001 (CIKM, 2022)

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. - Liang Gao; Huazhu Fu; Li Li 064; Yingwen Chen 001; Ming Xu 002; Cheng-Zhong Xu 001 (CVPR, 2022)

LoADPart: Load-Aware Dynamic Partition of Deep Neural Networks for Edge Offloading. - Hongzhou Liu; Wenli Zheng; Li Li 064; Minyi Guo (ICDCS, 2022)

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)

FedGosp: A Novel Framework of Gossip Federated Learning for Data Heterogeneity. - Guanghao Li; Yue Hu; Miao Zhang; Li Li 064; Tao Chang; Quanjun Yin (SMC, 2022)

Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. - Jiang Bian 003; Abdullah Al Arafat; Haoyi Xiong; Jing Li 025; Li Li 064; Hongyang Chen; Jun Wang 001; Dejing Dou; Zhishan Guo (IEEE Internet Things J., 2022)

FGFL: A blockchain-based fair incentive governor for Federated Learning. - Liang Gao; Li Li 064; Yingwen Chen 001; Cheng-Zhong Xu 001; Ming Xu 002 (J. Parallel Distributed Comput., 2022)

Performance optimization of autonomous driving control under end-to-end deadlines. - Yunhao Bai; Li Li 064; Zejiang Wang; Xiaorui Wang; Junmin Wang (Real Time Syst., 2022)

Investigating Security Vulnerabilities in a Hot Data Center with Reduced Cooling Redundancy. - Xing Gao 001; Guannan Liu; Zhang Xu; Haining Wang 001; Li Li 064; Xiaorui Wang (IEEE Trans. Dependable Secur. Comput., 2022)

FedCoop: Cooperative Federated Learning for Noisy Labels. - Kahou Tam; Li Li 064; Yan Zhao; Chengzhong Xu 001 (ECAI, 2023)

HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles. - Jialiang Ma; Li Li 064; Zejiang Wang; Jun Wang 001; Chengzhong Xu 001 (ICDCS, 2023)

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

FedHybrid: Hierarchical Hybrid Training for High-Performance Federated Learning. - Tao Chang; Li Li 064; Meihan Wu; Wei Yu; Xiaodong Wang 002 (SECON, 2023)

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

A Framework for Behavioral Biometric Authentication Using Deep Metric Learning on Mobile Devices. - Cong Wang 006; Yanru Xiao; Xing Gao 001; Li Li 064; Jun Wang 077 (IEEE Trans. Mob. Comput., 2023)

SmartDL: energy-aware decremental learning in a mobile-based federation for geo-spatial system. - Wenting Zou; Li Li 064; Zichen Xu 001; Dan Wu 010; Cheng-Zhong Xu 001; Yuhao Wang 001; Haoyang Zhu; Xiao Sun (Neural Comput. Appl., 2023)

PAGroup: Privacy-aware grouping framework for high-performance federated learning. - Tao Chang; Li Li 064; Meihan Wu; Wei Yu; Xiaodong Wang 002; ChengZhong Xu 001 (J. Parallel Distributed Comput., 2023)

GraphCS: Graph-based client selection for heterogeneity in federated learning. - Tao Chang; Li Li 064; Meihan Wu; Wei Yu; Xiaodong Wang 002; Cheng-Zhong Xu 001 (J. Parallel Distributed Comput., 2023)

AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving. - Jialiang Ma; Li Li 064; Cheng-Zhong Xu 001 (IEEE Trans. Parallel Distributed Syst., 2023)

A 28nm 314.6TLFOPS/W Reconfigurable Floating-Point Analog Compute-In-Memory Macro with Exponent Approximation and Two-Stage Sharing TD-ADC. - Pengyu He; Yuanzhe Zhao; Heng Xie; Yang Wang 089; Shouyi Yin; Li Li 064; Yan Zhu 001; Rui Paulo Martins; Chi-Hang Chan; Minglei Zhang (CICC, 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)

FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning. - Meihan Wu; Li Li 064; Tao Chang; Peng Qiao; Cui Miao; Jie Zhou 032; Jingnan Wang; Xiaodong Wang 002 (IWQoS, 2024)

PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity. - Meihan Wu; Li Li 064; Tao Chang; Jie Zhou 032; Eric Rigall; Cui Miao; Xiaodong Wang 002; Chengzhong Xu 001 (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)

Towards Federated Domain Unlearning: Verification Methodologies and Challenges. - Kahou Tam; Kewei Xu; Li Li 064; Huazhu Fu (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)

Breaking the Memory Wall for Heterogeneous Federated Learning via Progressive Training. - Yebo Wu; Li Li 064; Cheng-Zhong Xu 001 (KDD (1), 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)

AssyLLM: Efficient Federated Fine-tuning of LLMs via Assembling Pre-trained Blocks. - Shichen Zhan; Li Li 064; Chengzhong Xu 001 (USENIX ATC, 2025)

EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents. - Yuhui Yun; Huilong Ye; Xinru Li; Ruojia Li; Jingfeng Deng; Li Li 064; Haoyi Xiong (CoRR, 2025)

Federated Noisy Client Learning. - Kahou Tam; Li Li 064; Bo Han 003; Cheng-Zhong Xu 001; Huazhu Fu (IEEE Trans. Neural Networks Learn. Syst., 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)

Breaking the Boundaries of Long-Context LLM Inference: Adaptive KV Management on a Single Commodity GPU. - He Sun; Li Li 064; Mingjun Xiao; Chengzhong Xu 001 (CoRR, 2025)

Noise-Robust Federated Learning via Interclient Co-Distillation. - Liang Gao; Li Li 064; Yingwen Chen 001; Shaojing Fu; Dongsheng Wang 004; Siwei Wang 001; Cheng-Zhong Xu 001; Ming Xu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

m$^{2}$2LLM: A Multi-Dimensional Optimization Framework for LLM Inference on Mobile Devices. - Kaiyuan Liu; Xiaobo Zhou 002; Li Li 064 (IEEE Trans. Parallel Distributed Syst., 2025)