Liang Li

50 papers A* 2B 7Journal 35Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Federated Edge Learning via Wireless and Heterogeneity Aware Subnetwork Scheduling.
IEEE Trans. Netw.
Liang Li, Jiaxiang Geng, Huai-an Su, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan
2026 J jnl
V-FedMM: Dynamic sample selection for efficient multimodal federated learning over vehicular networks.
Comput. Networks
Haoyu Tu, Wen Wu, Liang Li, Yongguang Lu, Lin Chen, Xu Chen
2026 J jnl
Wider Eyes in the Sky: Scene-Adaptive Video Analytics in Low-Altitude Surveillance Networks.
IEEE Trans. Cogn. Commun. Netw.
Liang Li, Wen Wu, Shanxiang Fang, Sihua Wang, Changchuan Yin
2025 J jnl
Budget-Adaptive Adapter Tuning in Orthogonal Subspaces for Continual Learning in LLMs.
CoRR
Zhiyi Wan, Wanrou Du, Liang Li, Miao Pan, Xiaoqi Qin
2025 J jnl
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks.
IEEE Netw. Lett.
Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang
2025 J jnl
Fed MobiLLM: Efficient Federated LLM Fine-Tuning over Heterogeneous Mobile Devices via Server Assisted Side-Tuning.
CoRR
Xingke Yang, Liang Li, Sicong Li, Liwei Guan, Hao Wang, Xiaoqi Qi, Jiang Liu, Xin Fu, Miao Pan
2025 J jnl
FedEx: Expediting Federated Learning Over Heterogeneous Mobile Devices by Overlapping and Participant Selection.
IEEE Trans. Mob. Comput.
Jiaxiang Geng, Boyu Li, Xiaoqi Qin, Yixuan Li, Liang Li, Yanzhao Hou, Miao Pan
2025 J jnl
LLM-Empowered IoT for 6G Networks: Architecture, Challenges, and Solutions.
CoRR
Xiaopei Chen, Wen Wu, Zuguang Li, Liang Li, Fei Ji
2025 J jnl
LLM-Empowered IoT for 6G Networks: Architecture, Challenges, and Solutions.
IEEE Internet Things Mag.
Xiaopei Chen, Wen Wu, Liang Li, Fei Ji
2025 — conf
Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices.
INFOCOM WKSHPS
Xiaopei Chen, Liang Li, Fei Ji, Wen Wu
2025 J jnl
Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices.
CoRR
Xiaopei Chen, Liang Li, Fei Ji, Wen Wu
2025 J jnl
MobiLLM: Enabling LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning.
CoRR
Liang Li, Xingke Yang, Wen Wu, Hao Wang, Tomoaki Ohtsuki, Xin Fu, Miao Pan, Xuemin Shen
2025 J jnl
MobiLLM: Enabling On-Device Fine-Tuning of Billion-Sized LLMs via Server-Assisted Side-Tuning.
IEEE J. Sel. Top. Signal Process.
Liang Li, Xingke Yang, Wen Wu, Hao Wang, Tomoaki Ohtsuki, Xin Fu, Miao Pan, Xuemin Shen
2025 J jnl
PAE MobiLLM: Privacy-Aware and Efficient LLM Fine-Tuning on the Mobile Device via Additive Side-Tuning.
CoRR
Xingke Yang, Liang Li, Zhiyi Wan, Sicong Li, Hao Wang, Xiaoqi Qin, Jiang Liu, Tomoaki Ohtsuki, Xin Fu, Miao Pan
2025 J jnl
Privacy-Aware Split Federated Learning for LLM Fine-Tuning Over Internet of Things.
IEEE Internet Things J.
Xiaopei Chen, Wen Wu, Fei Ji, Yongguang Lu, Liang Li
2025 — conf
RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing.
ICC
Liang Li, Xiaopei Chen, Wen Wu
2025 J jnl
RingAda: Pipelining Large Model Fine-Tuning on Edge Devices with Scheduled Layer Unfreezing.
CoRR
Liang Li, Xiaopei Chen, Wen Wu
2025 A* conf
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling.
AAAI
Huai-an Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan
2024 B conf
Emergency Caching: Coded Caching-Based Reliable Map Transmission in Emergency Networks.
WCNC
Zeyu Tian, Lianming Xu, Liang Li, Li Wang, Aiguo Fei
2024 J jnl
Emergency Caching: Coded Caching-based Reliable Map Transmission in Emergency Networks.
CoRR
Zeyu Tian, Lianming Xu, Liang Li, Li Wang, Aiguo Fei
2024 J jnl
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation.
IEEE Trans. Wirel. Commun.
Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan
2024 J jnl
Failure-Resilient Distributed Inference With Model Compression Over Heterogeneous Edge Devices.
IEEE Trans. Mob. Comput.
Li Wang, Liang Li, Lianming Xu, Xian Peng, Aiguo Fei
2024 J jnl
Failure-Resilient Distributed Inference with Model Compression over Heterogeneous Edge Devices.
CoRR
Li Wang, Liang Li, Lianming Xu, Xian Peng, Aiguo Fei
2024 J jnl
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection.
CoRR
Jiaxiang Geng, Boyu Li, Xiaoqi Qin, Yixuan Li, Liang Li, Yanzhao Hou, Miao Pan
2024 — conf
Hierarchical Charging and Computation Scheduling for Connected Electric Vehicles via Safe Reinforcement Learning.
INFOCOM (Workshops)
Liang Li, Lianming Xu, Xiaohu Liu, Li Wang, Aiguo Fei
2024 J jnl
UAV-Assisted Wireless Cooperative Communication and Coded Caching: A Multiagent Two-Timescale DRL Approach.
IEEE Trans. Mob. Comput.
Bingxin Tian, Li Wang, Lianming Xu, Wen Pan, Huaqing Wu, Liang Li, Zhu Han
2024 J jnl
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling.
CoRR
Huai-an Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Xin Fu, Miao Pan
2023 J jnl
Collaborative Computation Offloading for Photovoltaic Power Prediction in Energy Internet: A Similarity-Aware Stable Matching Approach.
IEEE Internet Things J.
Bingxin Tian, Li Wang, Liang Li, Lianming Xu, Luyang Hou, Aiguo Fei
2023 J jnl
Energy Efficient Federated Learning Over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission.
IEEE Trans. Mob. Comput.
Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Miao Pan, Yuguang Fang
2023 B conf
GA-MADDPG: A Demand-Aware UAV Network Adaptation Method for Joint Communication and Positioning in Emergency Scenarios.
WCNC
Ke Zhuang, Lianming Xu, Liang Li, Li Wang, Aiguo Fei
2023 B conf
Joint Energy Trading and Computation Scheduling for Geo-Distributed Data Centers in Emergency Demand Response.
GLOBECOM
Lianming Xu, Shiwen Zou, Liang Li, Li Wang, Aiguo Fei
2023 — conf
Joint Power Control and Bandwidth Allocation for UAV-Assisted Integrated Communication and Localization Networks.
INFOCOM Workshops
Xiaoman Li, Li Wang, Liang Li, Lianming Xu, Aiguo Fei
2022 J jnl
Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability.
IEEE Internet Things J.
Rui Chen, Liang Li, Ying Ma, Yanmin Gong, Yuanxiong Guo, Tomoaki Ohtsuki, Miao Pan
2022 J jnl
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation.
CoRR
Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan
2022 J jnl
Make Smart Decisions Faster: Deciding D2D Resource Allocation via Stackelberg Game Guided Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Mob. Comput.
Dian Shi, Liang Li, Tomoaki Ohtsuki, Miao Pan, Zhu Han, H. Vincent Poor
2022 J jnl
Privacy Preserving Participant Recruitment for Coverage Maximization in Location Aware Mobile Crowdsensing.
IEEE Trans. Mob. Comput.
Liang Li, Dian Shi, Xinyue Zhang, Ronghui Hou, Hao Yue, Hui Li, Miao Pan
2022 J jnl
To Talk or to Work: Dynamic Batch Sizes Assisted Time Efficient Federated Learning Over Future Mobile Edge Devices.
IEEE Trans. Wirel. Commun.
Dian Shi, Liang Li, Maoqiang Wu, Minglei Shu, Rong Yu, Miao Pan, Zhu Han
2022 J jnl
Toward Energy-Efficient Federated Learning Over 5G+ Mobile Devices.
IEEE Wirel. Commun.
Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang
2021 J jnl
Data-Driven Optimization for Cooperative Edge Service Provisioning With Demand Uncertainty.
IEEE Internet Things J.
Liang Li, Dian Shi, Ronghui Hou, Xuanheng Li, Jie Wang, Hui Li, Miao Pan
2021 — conf
Matching Theory Aided Federated Learning Method for Load Forecasting of Virtual Power Plant.
MSN
Min Yan, Li Wang, Xuanyuan Wang, Liang Li, Lianming Xu, Aiguo Fei
2021 A* conf
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices.
INFOCOM
Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han
2021 J jnl
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices.
CoRR
Dian Shi, Liang Li, Rui Chen, Pavana Prakash, Miao Pan, Yuguang Fang
2020 B conf
COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing.
GLOBECOM
Rui Chen, Liang Li, Jeffrey Jiarui Chen, Ronghui Hou, Yanmin Gong, Yuanxiong Guo, Miao Pan
2020 — conf
Data-Driven Optimization for Resource Provision in Non-Cooperative Edge Computing Market.
ICC
Rui Chen, Liang Li, Ronghui Hou, Tingting Yang, Li Wang, Miao Pan
2020 J jnl
Energy-Efficient Proactive Caching for Adaptive Video Streaming via Data-Driven Optimization.
IEEE Internet Things J.
Liang Li, Dian Shi, Ronghui Hou, Rui Chen, Bin Lin, Miao Pan
2020 B conf
Geo-Indistinguishablility for Crowdsourced-Based Radio Environment Map Construction.
GLOBECOM
Shahira Amin, Liang Li, Yuanxiong Guo, Miao Pan, Yanmin Gong
2020 J jnl
To Talk or to Work: Energy Efficient Federated Learning over Mobile Devices via the Weight Quantization and 5G Transmission Co-Design.
CoRR
Rui Chen, Liang Li, Kaiping Xue, Chi Zhang, Lingjia Liu, Miao Pan
2020 J jnl
To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices.
CoRR
Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, Zhu Han
2019 B conf
Delay-Aware Adaptive Wireless Video Streaming in Edge Computing Assisted Ultra-Dense Networks.
GLOBECOM
Liang Li, Ronghui Hou, Ruoguang Li, Hui Li, Miao Pan, Zhu Han
2019 B conf
Participant Recruitment for Coverage-Aware Mobile Crowdsensing with Location Differential Privacy.
GLOBECOM
Liang Li, Xinyue Zhang, Ronghui Hou, Hao Yue, Hui Li, Miao Pan