A Power and Performance Management Framework for Virtualized Server Clusters. - Yongqiang Gao; Zhengwei Qi; Yubin Wu; Rui Wang; Liang Liu 010; Jitao Xu 002; Haibing Guan (GreenCom, 2011)

Code cache management based on working set in dynamic binary translator. - Ruhui Ma; Haibing Guan; Erzhou Zhu; Yongqiang Gao; Alei Liang (Comput. Sci. Inf. Syst., 2011)

LTD: Local Ternary Descriptor for image matching. - Yongqiang Gao; Yu Qiao 001; Zhifeng Li 001; Chunjing Xu (ICIA, 2013)

A multi-objective ant colony system algorithm for virtual machine placement in cloud computing. - Yongqiang Gao; Haibing Guan; Zhengwei Qi; Yang Hou; Liang Liu 010 (J. Comput. Syst. Sci., 2013)

Quality of service aware power management for virtualized data centers. - Yongqiang Gao; Haibing Guan; Zhengwei Qi; Bin Wang 062; Liang Liu 010 (J. Syst. Archit., 2013)

Service level agreement based energy-efficient resource management in cloud data centers. - Yongqiang Gao; Haibing Guan; Zhengwei Qi; Tao Song 003; Fei Huan; Liang Liu 010 (Comput. Electr. Eng., 2014)

Dynamic Web Service Composition Based on State Space Searching. - Yu Lei 007; Jiantao Zhou 002; Yongqiang Gao; Liu Jing; Xuebin Ma (ICPADS, 2015)

Web Service Composition Based on Reinforcement Learning. - Yu Lei 007; Jiantao Zhou 002; Fengqi Wei; Yongqiang Gao; Bo Yang (ICWS, 2015)

Local Multi-Grouped Binary Descriptor With Ring-Based Pooling Configuration and Optimization. - Yongqiang Gao; Weilin Huang; Yu Qiao 001 (IEEE Trans. Image Process., 2015)

Adaptive Part-Level Model Knowledge Transfer for Gender Classification. - Yongqiang Gao; Zhifeng Li 001; Yu Qiao 001 (IEEE Signal Process. Lett., 2016)

A Power and Performance Aware Routing Algorithm for Fat Tree Networks. - Yongqiang Gao; Lei Yu (BigDataSecurity/HPSC/IDS, 2017)

Energy-aware Load Balancing in Heterogeneous Cloud Data Centers. - Yongqiang Gao; Yu Lei 007 (ICMSS, 2017)

Profit-Aware Workload Management for Geo-Distributed Data Centers. - Yongqiang Gao; Hengchao Wei (PDCAT, 2017)

Leveraging Long and Short-term Information in Content-aware Movie Recommendation. - Wei Zhao 033; Benyou Wang; Jianbo Ye; Yongqiang Gao; Min Yang 007; Zhou Zhao 001; Xiaojun Chen 006 (CoRR, 2017)

Learning multiple local binary descriptors for image matching. - Yongqiang Gao; Weilin Huang; Yu Qiao 001 (Neurocomputing, 2017)

Background Subtraction via 3D Convolutional Neural Networks. - Yongqiang Gao; Huayue Cai; Xiang Zhang 008; Long Lan; Zhigang Luo (ICPR, 2018)

Energy-Efficient and Quality of Experience-Aware Resource Provisioning for Massively Multiplayer Online Games in the Cloud. - Yongqiang Gao; Lin Wang; Zhulong Xie; Wenhui Guo; Jiantao Zhou 002 (ICSOC, 2018)

PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. - Wei Zhao 033; Benyou Wang; Jianbo Ye; Yongqiang Gao; Min Yang 007; Xiaojun Chen 006 (IJCAI, 2018)

Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization. - Xiang Zhang 008; Yongqiang Gao; Long Lan; Xiaowei Guo; Xuhui Huang; Zhigang Luo (PRICAI (1), 2018)

Cost-Efficient and Quality of Experience-Aware Provisioning of Virtual Machines for Multiplayer Cloud Gaming in Geographically Distributed Data Centers. - Yongqiang Gao; Lin Wang; Jiantao Zhou 002 (IEEE Access, 2019)

A Hybrid Algorithm for Multi-Objective Scientific Workflow Scheduling in IaaS Cloud. - Yongqiang Gao; Shuyun Zhang; Jiantao Zhou 002 (IEEE Access, 2019)

Energy Efficient and Delay Aware Service Selection in Mobile Edge Computing. - Yongqiang Gao; Bing Liu (ICCT, 2020)

A Multi-objective Task Offloading Strategy for Workflow Applications in Mobile Edge-Cloud Computing. - Yongqiang Gao; Dandan Yan (PAAP, 2020)

Kinect-based human finger tracking method for natural haptic rendering. - Xiong Lu; Beibei Qi; Huang Qian; Yongqiang Gao; Junbin Sun; Jia Liu (Entertain. Comput., 2020)

Quality of Service Aware Cost Optimization for Online Gaming Services in IaaS Clouds. - Yongqiang Gao; Wenhui Guo; Chenyang Zhou 003 (CSCWD, 2021)

Energy-Efficient Scheduling of MapReduce Tasks Based on Load Balancing and Deadline Constraint in Heterogeneous Hadoop YARN Cluster. - Yongqiang Gao; Chong Huang (CSCWD, 2021)

Location Aware Workflow Migration Based on Deep Reinforcement Learning in Mobile Edge Computing. - Yongqiang Gao; Xiaolei Liu (ICA3PP (1), 2021)

Multiple Workflows Offloading Based on Deep Reinforcement Learning in Mobile Edge Computing. - Yongqiang Gao; Yanping Wang (ICA3PP (1), 2021)

A Deep Reinforcement Learning-Based Approach to the Scheduling of Multiple Workflows on Non-dedicated Edge Servers. - Yongqiang Gao; Ke Feng (PDCAT, 2021)

Load Balancing Aware Task Offloading in Mobile Edge Computing. - Yongqiang Gao; Zemin Li (CSCWD, 2022)

Multiple Workflows Offloading Based on Improved Deep Q-Network in Mobile Edge Computing. - Yongqiang Gao; Weili Liu (CSCWD, 2022)

Energy and Delay-Aware Task Offloading and Resource Allocation in Mobile Edge Computing. - Yongqiang Gao; Zhenkun Li (CSCWD, 2022)

Deadline-aware Preemptive Job Scheduling in Hadoop YARN Clusters. - Yongqiang Gao; Kaifeng Zhang (CSCWD, 2022)

A Distributed Cache Mechanism of HDFS to Improve Learning Performance for Deep Reinforcement Learning. - Yongqiang Gao; Shunyi Feng; Zhenkun Li (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Location-aware Task Offloading in Mobile Edge Computing. - Yongqiang Gao; Jixiao Li (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Task Migration Based on Deep Reinforcement Learning in Mobile Crowdsourcing. - Yongqiang Gao; Zhigang Wang; Zemin Li; Zhenkun Li (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Improving Gaming Experience with Dynamic Service Placement in Mobile Edge Computing. - Yongqiang Gao; Zheng Xu (WASA (3), 2022)

Cost-Efficient and Quality-of-Experience-Aware Player Request Scheduling and Rendering Server Allocation for Edge-Computing-Assisted Multiplayer Cloud Gaming. - Yongqiang Gao; Chaoyu Zhang; Zhulong Xie; Zhengwei Qi; Jiantao Zhou 002 (IEEE Internet Things J., 2022)

Deep Reinforcement Learning Based Rendering Service Placement for Cloud Gaming in Mobile Edge Computing Systems. - Yongqiang Gao; Zhihan Li (COMPSAC, 2023)

AG3: Automated Game GUI Text Glitch Detection Based on Computer Vision. - Xiaoyun Liang 006; Jiayi Qi; Yongqiang Gao; Chao Peng 002; Ping Yang (ESEC/SIGSOFT FSE, 2023)

Energy- and Quality of Experience-Aware Dynamic Resource Allocation for Massively Multiplayer Online Games in Heterogeneous Cloud Computing Systems. - Yongqiang Gao; Lin Wang; Zhulong Xie; Zhengwei Qi; Jiantao Zhou 002 (IEEE Trans. Serv. Comput., 2023)

OBMeta: a comprehensive web server to analyze and validate gut microbial features and biomarkers for obesity-associated metabolic diseases. - Cuifang Xu; Jiating Huang; Yongqiang Gao; Weixing Zhao; Yiqi Shen; Feihong Luo; Gang Yu; Feng Zhu 004; Yan Ni (Bioinform., 2023)

Deep Reinforcement Learning-Driven Adaptive Task Offloading and Resource Allocation for UAV-Assisted Mobile Edge Computing. - Yongqiang Gao; Chuangxin Li; Zhenkun Li (CSCWD, 2024)

Distributed Rendering for Cloud Gaming in Cloud-Edge-End Cooperation Networks. - Yipei He; Yongqiang Gao; Yunfei Song (CSCWD, 2024)

Joint Task Offloading and Resource Allocation for NOMA-Based Vehicular Networks. - Yunfei Song; Yongqiang Gao; Yipei He (CSCWD, 2024)

QoE optimization based on Adaptive Bitrate Control for Multi-party Interactive Live Streaming. - Jiajun Wang; Yongqiang Gao (CSCWD, 2024)

DST: Personalized Charging Station Recommendation for Electric Vehicles Based on Deep Reinforcement Learning and Spatio-Temporal Preference Analysis. - Xiaoying Fan; Yongqiang Gao; Fujun Zhang (ICWS, 2024)

Neat: Mobile App Layout Similarity Comparison Based on Graph Convolutional Networks. - Zhu Tao; Yongqiang Gao; Jiayi Qi; Chao Peng 002; Qinyun Wu; Xiang Chen; Ping Yang (SIGSOFT FSE Companion, 2024)

MolCFL: A personalized and privacy-preserving drug discovery framework based on generative clustered federated learning. - Yan Guo; Yongqiang Gao; Jiawei Song (J. Biomed. Informatics, 2024)

U2AD: A UAV-Assisted Autonomous Driving Framework for Enhancing Vehicle Risk Perception and Decision-Making Capabilities. - Chuangxin Li; Yongqiang Gao; Rao Fu; Jia Chen (ICASSP, 2025)

A Video Frame Interpolation Framework Based on Channel and Token Mixing. - Jianchao Wang; Yongqiang Gao (ICMR, 2025)

Federated learning for heterogeneous neural networks with layer similarity relations in Cloud-Edge-End scenarios. - Rao Fu; Yongqiang Gao; Zijian Qiao (Future Gener. Comput. Syst., 2025)

How does humble leadership stimulate employees' service improvisation in hospitality? A social information processing perspective. - Islam Ali Elhadidy; Yongqiang Gao (Kybernetes, 2025)