Quasi-convex Optimization of Metrics in Biometric Score Fusion. - Yanmin Gong 001; Jiansheng Chen; Guangda Su (ICIG, 2011)

Optimal power and workload management for green data centers with thermal storage. - Yuanxiong Guo; Yanmin Gong 001; Yuguang Fang; Pramod P. Khargonekar; Xiaojun Geng (GLOBECOM, 2013)

A privacy-preserving task recommendation framework for mobile crowdsourcing. - Yanmin Gong 001; Yuanxiong Guo; Yuguang Fang (GLOBECOM, 2014)

Stochastic minimization of imbalance cost for a virtual power plant in electricity markets. - Yuanxiong Guo; Yanmin Gong 001; Yuguang Fang; Pramod P. Khargonekar (ISGT, 2014)

Energy and Network Aware Workload Management for Sustainable Data Centers with Thermal Storage. - Yuanxiong Guo; Yanmin Gong 001; Yuguang Fang; Pramod P. Khargonekar; Xiaojun Geng (IEEE Trans. Parallel Distributed Syst., 2014)

Privacy-Preserving Collaborative Learning for Mobile Health Monitoring. - Yanmin Gong 001; Yuguang Fang; Yuanxiong Guo (GLOBECOM, 2015)

Privacy-Preserving Genome-Aware Remote Health Monitoring. - Yanmin Gong 001; Chi Zhang 001; Yaodan Hu; Yuguang Fang (GLOBECOM, 2016)

A Firewall of Two Clouds: Preserving Outsourced Firewall Policy Confidentiality with Heterogeneity. - Lingbo Wei; Chi Zhang 001; Yanmin Gong 001; Yuguang Fang; Kefei Chen (GLOBECOM, 2016)

Optimal Task Recommendation for Mobile Crowdsourcing With Privacy Control. - Yanmin Gong 001; Lingbo Wei; Yuanxiong Guo; Chi Zhang 001; Yuguang Fang (IEEE Internet Things J., 2016)

Private Data Analytics on Biomedical Sensing Data via Distributed Computation. - Yanmin Gong 001; Yuguang Fang; Yuanxiong Guo (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid. - Yanmin Gong 001; Ying Cai; Yuanxiong Guo; Yuguang Fang (IEEE Trans. Smart Grid, 2016)

Differential location privacy for crowdsourced spectrum sensing. - Zonghao Huang; Yanmin Gong 001 (CNS, 2017)

Primary Users' Operational Privacy Preservation via Data-Driven Optimization. - Jingyi Wang 002; Yanmin Gong 001; Lijun Qian; Riku Jaentti; Miao Pan; Zhu Han 001 (GLOBECOM, 2017)

Practical Collaborative Learning for Crowdsensing in the Internet of Things with Differential Privacy. - Yuanxiong Guo; Yanmin Gong 001 (CNS, 2018)

Secret Dispersion: Secure Data Delivery in Cyber Physical System. - Rui Hu 005; Yanmin Gong 001 (CNS, 2018)

Mitigating Traffic Analysis Attack in Smartphones with Edge Network Assistance. - Yaodan Hu; Xuanheng Li; Jianqing Liu; Haichuan Ding; Yanmin Gong 001; Yuguang Fang (ICC, 2018)

Realistic Cover Traffic to Mitigate Website Fingerprinting Attacks. - Weiqi Cui; Jiangmin Yu; Yanmin Gong 001; Eric Chan-Tin (ICDCS, 2018)

A stochastic game approach to cyber-physical security with applications to smart grid. - Yuanxiong Guo; Yanmin Gong 001; Laurent L. Njilla; Charles A. Kamhoua (INFOCOM Workshops, 2018)

A Cloud-Based Secure and Privacy-Preserving Clustering Analysis of Infectious Disease. - Jianqing Liu; Yaodan Hu; Hao Yue 001; Yanmin Gong 001; Yuguang Fang (PAC, 2018)

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy. - Zonghao Huang; Rui Hu 005; Eric Chan-Tin; Yanmin Gong 001 (CoRR, 2018)

SAFE: Secure Appliance Scheduling for Flexible and Efficient Energy Consumption for Smart Home IoT. - Sai Mounika Errapotu; Jingyi Wang 002; Yanmin Gong 001; Jin-Hee Cho; Miao Pan; Zhu Han 001 (IEEE Internet Things J., 2018)

Data-Driven Optimization Based Primary Users' Operational Privacy Preservation. - Jingyi Wang 002; Sai Mounika Errapotu; Yanmin Gong 001; Lijun Qian; Riku Jäntti; Miao Pan; Zhu Han 001 (IEEE Trans. Cogn. Commun. Netw., 2018)

Protecting Location Privacy for Task Allocation in Ad Hoc Mobile Cloud Computing. - Yanmin Gong 001; Chi Zhang 001; Yuguang Fang; Jinyuan Sun (IEEE Trans. Emerg. Top. Comput., 2018)

Protecting Operation-Time Privacy of Primary Users in Downlink Cognitive Two-Tier Networks. - Xuewen Dong; Yanmin Gong 001; Jianfeng Ma 001; Yuanxiong Guo (IEEE Trans. Veh. Technol., 2018)

Targeted Poisoning Attacks on Social Recommender Systems. - Rui Hu 005; Yuanxiong Guo; Miao Pan; Yanmin Gong 001 (GLOBECOM, 2019)

Robust Truth Discovery against Data Poisoning in Mobile Crowdsensing. - Zonghao Huang; Miao Pan; Yanmin Gong 001 (GLOBECOM, 2019)

Dynamic Cache Placement, Node Association, and Power Allocation in Fog Aided Networks. - Ruoguang Li; Li Wang 039; Yanmin Gong 001; Mei Song; Miao Pan; Zhu Han 001 (GLOBECOM, 2019)

Stochastic ADMM Based Distributed Machine Learning with Differential Privacy. - Jiahao Ding; Sai Mounika Errapotu; Haijun Zhang 001; Yanmin Gong 001; Miao Pan; Zhu Han 001 (SecureComm (1), 2019)

Optimal Differentially Private ADMM for Distributed Machine Learning. - Jiahao Ding; Yanmin Gong 001; Miao Pan; Zhu Han 001 (CoRR, 2019)

Efficient, Effective, and Realistic Website Fingerprinting Mitigation. - Weiqi Cui; Jiangmin Yu; Yanmin Gong 001; Eric Chan-Tin (EAI Endorsed Trans. Security Safety, 2019)

Dynamic Multi-Tenant Coordination for Sustainable Colocation Data Centers. - Yuanxiong Guo; Miao Pan; Yanmin Gong 001; Yuguang Fang (IEEE Trans. Cloud Comput., 2019)

Geo-Indistinguishablility for Crowdsourced-Based Radio Environment Map Construction. - Shahira Amin; Liang Li; Yuanxiong Guo; Miao Pan; Yanmin Gong 001 (GLOBECOM, 2020)

COVID-19 Vulnerability Map Construction via Location Privacy Preserving Mobile Crowdsourcing. - Rui Chen 026; Liang Li; Jeffrey Jiarui Chen; Ronghui Hou; Yanmin Gong 001; Yuanxiong Guo; Miao Pan (GLOBECOM, 2020)

Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. - Zhidong Gao; Rui Hu 005; Yanmin Gong 001 (GLOBECOM, 2020)

Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. - Rui Hu 005; Yanmin Gong 001 (GLOBECOM, 2020)

Privacy-Preserving Personalized Federated Learning. - Rui Hu 005; Yuanxiong Guo; Hongning Li; Qingqi Pei; Yanmin Gong 001 (ICC, 2020)

Joint Alignment of Image Faces. - Gang Zhang 003; Lijia Pan; Jiansheng Chen; Yanmin Gong 001; Fuyuan Liu (IEEE Access, 2020)

Phased Groupwise Face Alignment. - Gang Zhang 003; Han Qin; Yuding Ke; Jiansheng Chen; Yanmin Gong 001 (IEEE Access, 2020)

Differentially Private Federated Learning for Resource-Constrained Internet of Things. - Rui Hu 005; Yuanxiong Guo; E. Paul Ratazzi; Yanmin Gong 001 (CoRR, 2020)

CPFed: Communication-Efficient and Privacy-Preserving Federated Learning. - Rui Hu 005; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2020)

Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation. - Zonghao Huang; Yanmin Gong 001 (CoRR, 2020)

Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning. - Rui Hu 005; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2020)

Personalized Federated Learning With Differential Privacy. - Rui Hu 005; Yuanxiong Guo; Hongning Li; Qingqi Pei; Yanmin Gong 001 (IEEE Internet Things J., 2020)

Joint Task Offloading and Resource Allocation in UAV-Enabled Mobile Edge Computing. - Zhe Yu; Yanmin Gong 001; Shimin Gong; Yuanxiong Guo (IEEE Internet Things J., 2020)

DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy. - Zonghao Huang; Rui Hu 005; Yuanxiong Guo; Eric Chan-Tin; Yanmin Gong 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Discounting Lives: Analyzing the causes of Hispanic Adversity raging in the Healthcare sector during Covid-19 using Cumulative Inequality Theory. - Paras Bhatt; Yuanxiong Guo; Yanmin Gong 001 (HICSS, 2021)

Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. - Rui Hu 005; Yanmin Gong 001; Yuanxiong Guo (IJCAI, 2021)

Concentrated Differentially Private Federated Learning With Performance Analysis. - Rui Hu 005; Yuanxiong Guo; Yanmin Gong 001 (IEEE Open J. Comput. Soc., 2021)

Aggregation-Based Colocation Datacenter Energy Management in Wholesale Markets. - Yuanxiong Guo; Miao Pan; Yanmin Gong 001 (IEEE Trans. Cloud Comput., 2021)

Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation. - Yuanxiong Guo; Rui Hu 005; Yanmin Gong 001 (CNS, 2022)

Towards a Model for Inclusive Healthcare Access post COVID-19. - Paras Bhatt; Oluwafemi Akanfe; Yuanxiong Guo; Yanmin Gong 001 (HICSS, 2022)

Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication. - Rui Hu 005; Yuanxiong Guo; Yanmin Gong 001 (ICC, 2022)

Hybrid Local SGD for Federated Learning with Heterogeneous Communications. - Yuanxiong Guo; Ying Sun; Rui Hu 005; Yanmin Gong 001 (ICLR, 2022)

Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability. - Rui Chen 026; Liang Li; Ying Ma; Yanmin Gong 001; Yuanxiong Guo; Tomoaki Ohtsuki; Miao Pan (IEEE Internet Things J., 2022)

DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions. - Huai-an Su; Pavana Prakash; Rui Chen 026; Yanmin Gong 001; Rong Yu 001; Xin Fu; Miao Pan (GLOBECOM, 2023)

Quantum Assisted Scheduling Algorithm for Federated Learning in Distributed Networks. - Xinliang Wei; Lei Fan 006; Yuanxiong Guo; Yanmin Gong 001; Zhu Han 001; Yu Wang 003 (ICCCN, 2023)

Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization. - Rui Chen 026; Qiyu Wan; Pavana Prakash; Lan Zhang 005; Xu Yuan 001; Yanmin Gong 001; Xin Fu; Miao Pan (ICCV, 2023)

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. - Shin-Ying Yeh; Yu-Guan Hsieh; Zhidong Gao; Bernard B. W. Yang; Giyeong Oh; Yanmin Gong 001 (CoRR, 2023)

PRAM: A Practical Sybil-Proof Auction Mechanism for Dynamic Spectrum Access With Untruthful Attackers. - Xuewen Dong; Yuanyu Zhang; Yuanxiong Guo; Yanmin Gong 001; Yulong Shen 001; Jianfeng Ma 001 (IEEE Trans. Mob. Comput., 2023)

Semi-Supervised Federated Learning for Assessing Building Damage from Satellite Imagery. - Yu Zhang 047; Yanmin Gong 001; Yuanxiong Guo (ICC, 2024)

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation. - Shih-Ying Yeh; Yu-Guan Hsieh; Zhidong Gao; Bernard B. W. Yang; Giyeong Oh; Yanmin Gong 001 (ICLR, 2024)

DP2-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization. - Zhenxiao Zhang; Yuanxiong Guo; Yanmin Gong 001 (CoRR, 2024)

Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning. - Zhidong Gao; Yu Zhang 047; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2024)

One Node Per User: Node-Level Federated Learning for Graph Neural Networks. - Zhidong Gao; Yuanxiong Guo; Yanmin Gong 001 (CoRR, 2024)

FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices. - Zhidong Gao; Yu Zhang 047; Zhenxiao Zhang; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2024)

Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning. - Zhidong Gao; Zhenxiao Zhang; Yu Zhang 047; Tongnian Wang; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2024)

Communication and Energy Efficient Wireless Federated Learning With Intrinsic Privacy. - Zhenxiao Zhang; Yuanxiong Guo; Yuguang Fang; Yanmin Gong 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Hybrid Quantum-Classical Benders' Decomposition for Federated Learning Scheduling in Distributed Networks. - Xinliang Wei; Lei Fan 006; Yuanxiong Guo; Yanmin Gong 001; Zhu Han 001; Yu Wang 003 (IEEE Trans. Netw. Sci. Eng., 2024)

Quantum-Assisted Joint Caching and Power Allocation for Integrated Satellite-Terrestrial Networks. - Yu Zhang 047; Yanmin Gong 001; Lei Fan 006; Yu Wang 003; Zhu Han 001; Yuanxiong Guo (IEEE Trans. Netw. Sci. Eng., 2024)

Scalable and Low-Latency Federated Learning With Cooperative Mobile Edge Networking. - Zhenxiao Zhang; Zhidong Gao; Yuanxiong Guo; Yanmin Gong 001 (IEEE Trans. Mob. Comput., 2024)

Federated and Online Dynamic Spectrum Access for Mobile Secondary Users. - Xuewen Dong; Zhichao You; Ximeng Liu; Yuanxiong Guo; Yulong Shen 001; Yanmin Gong 001 (IEEE Trans. Wirel. Commun., 2024)

Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare. - Tongnian Wang; Kai Zhang; Jiannan Cai; Yanmin Gong 001; Kim-Kwang Raymond Choo; Yuanxiong Guo (J. Heal. Informatics Res., 2024)

Federated Learning With Sparsified Model Perturbation: Improving Accuracy Under Client-Level Differential Privacy. - Rui Hu 005; Yuanxiong Guo; Yanmin Gong 001 (IEEE Trans. Mob. Comput., 2024)

Energy-Efficient Resource Management for Multi-UAV-Enabled Mobile Edge Computing. - Yu Zhang 047; Yanmin Gong 001; Yuanxiong Guo (IEEE Trans. Veh. Technol., 2024)

REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning Over Mobile Devices. - Yixuan Li; Xiaoqi Qin; Jiaxiang Geng; Rui Chen 026; Yanzhao Hou; Yanmin Gong 001; Miao Pan; Ping Zhang 003 (IEEE Trans. Mob. Comput., 2024)

Efficient Entanglement Routing for Satellite-Aerial-Terrestrial Quantum Networks. - Yu Zhang 047; Yanmin Gong 001; Lei Fan 006; Yu Wang 003; Zhu Han 001; Yuanxiong Guo (ICCCN, 2025)

Federated Adaptive Fine-Tuning of Large Language Models with Heterogeneous Quantization and LoRA. - Zhidong Gao; Zhenxiao Zhang; Yuanxiong Guo; Yanmin Gong 001 (INFOCOM, 2025)

Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks. - Yu Zhang 047; Yanmin Gong 001; Lei Fan 006; Yu Wang 003; Zhu Han 001; Yuanxiong Guo (IEEE Trans. Mob. Comput., 2025)

DAFL: Device-to-Device Transmissions for Delay-Efficient Federated Learning Over Mobile Devices. - Huai-An Su; Pavana Prakash; Rui Chen 026; Yanmin Gong 001; Rong Yu 001; Xin Fu; Miao Pan (IEEE Internet Things J., 2025)

Heterogeneity-Aware Cooperative Federated Edge Learning With Adaptive Computation and Communication Compression. - Zhenxiao Zhang; Zhidong Gao; Yuanxiong Guo; Yanmin Gong 001 (IEEE Trans. Mob. Comput., 2025)

Quantum-Assisted Online Task Offloading and Resource Allocation in MEC-Enabled Satellite-Aerial-Terrestrial Integrated Networks. - Yu Zhang 047; Yanmin Gong 001; Lei Fan 006; Yu Wang 003; Zhu Han 001; Yuanxiong Guo (IEEE Trans. Mob. Comput., 2025)