Multi-channel train visual simulation system based on PC cluster. - Bing Tang; Hu Su; Zhigeng Pan; Meiyu Zhou (VRCAI, 2004)

Simulating Reactive Motions for Motion Capture Animation. - Bing Tang; Zhigeng Pan; Le Zheng; Mingmin Zhang (Computer Graphics International, 2006)

PHI: Physics Application Programming Interface. - Bing Tang; Zhigeng Pan; ZuoYan Lin; Le Zheng (ICEC, 2006)

Interactive generation of falling motions. - Bing Tang; Zhigeng Pan; Le Zheng; Mingmin Zhang (Comput. Animat. Virtual Worlds, 2006)

Market-Driven Based Resource Scheduling Algorithm in Computational Grid. - Bing Tang; Zude Zhou; Quan Liu 001; Fangmin Li (CSSE (3), 2008)

A Trust Model Based on Subjective Logic for Multi-Domains in Grids. - Quan Liu; Yeqing Liao; Bing Tang; Lei Yu (PACIIA (2), 2008)

BLAST Application with Data-Aware Desktop Grid Middleware. - Haiwu He; Gilles Fedak; Bing Tang; Franck Cappello (CCGRID, 2009)

Fragment-based responsive character motion for interactive games. - Xi Cheng; Gengdai Liu; Zhigeng Pan; Bing Tang (Vis. Comput., 2009)

Real time falling animation with active and protective responses. - Zhigeng Pan; Xi Cheng; Wenzhi Chen; Gengdai Liu; Bing Tang (Vis. Comput., 2009)

Towards MapReduce for Desktop Grid Computing. - Bing Tang; Mircea Moca; Stéphane Chevalier; Haiwu He; Gilles Fedak (3PGCIC, 2010)

Analysis of Data Reliability Tradeoffs in Hybrid Distributed Storage Systems. - Bing Tang; Gilles Fedak (IPDPS Workshops, 2012)

Scheduling Data on Data-Driven Master/Worker Platform. - Mohamed Labidi; Bing Tang; Gilles Fedak; Maher Khemakhem; Mohamed Jemni (PDCAT, 2012)

Grid resource scheduling algorithm based on dynamic price-adjusting strategy. - Bing Tang (Int. J. Inf. Commun. Technol., 2012)

Scalable data management for map-reduce-based data-intensive applications: a view for cloud and hybrid infrastructures. - Gabriel Antoniu; Alexandru Costan; Julien Bigot; Frédéric Desprez; Gilles Fedak; Sylvain Gault; Christian Pérez; Anthony Simonet; Bing Tang; Christophe Blanchet; Raphael Terreux; Luc Bougé; et al. (Int. J. Cloud Comput., 2013)

Parallel Data Processing in Dynamic Hybrid Computing Environment Using MapReduce. - Bing Tang; Haiwu He; Gilles Fedak (ICA3PP (2), 2014)

Bayesian Model-Based Prediction of Service Level Agreement Violations for Cloud Services. - Bing Tang; Mingdong Tang (TASE, 2014)

Availability and Network-Aware MapReduce Task Scheduling over the Internet. - Bing Tang; Qi Xie; Haiwu He; Gilles Fedak (ICA3PP (1), 2015)

QoS Prediction in Dynamic Web Services with Asymmetric Correlation. - Qi Xie; Bing Tang; Zibin Zheng; Mengtian Cui (ICA3PP (1), 2015)

D3-MapReduce: Towards MapReduce for Distributed and Dynamic Data Sets. - Haiwu He; Anthony Simonet; Julio Anjos Jose-Francisco Saray; Gilles Fedak; Bing Tang; Lu Lu 006; Xuanhua Shi; Hai Jin 001; Mircea Moca; Gheorghe Cosmin Silaghi; Asma Ben Cheikh; Heithem Abbes (SmartCity, 2015)

HybridMR: a new approach for hybrid MapReduce combining desktop grid and cloud infrastructures. - Bing Tang; Haiwu He; Gilles Fedak (Concurr. Comput. Pract. Exp., 2015)

基于树型结构的MapReduce并行模型 (MapReduce Parallel Model Based on Tree Structure). - Bing Tang; Haiwu He (计算机科学, 2015)

Sparse Non-negative Matrix Factorization with Generalized Kullback-Leibler Divergence. - Jingwei Chen; Yong Feng; Yang Liu 247; Bing Tang; Wenyuan Wu (IDEAL, 2016)

A Cost-Effective Cloud Storage Caching Strategy Utilizing Local Desktop-Based Storage. - Li Zhang 096; Bing Tang (SpaCCS Workshops, 2016)

Quantum signature of discrete breathers in a nonlinear Klein-Gordon lattice with nearest and next-nearest neighbor interactions. - Bing Tang; De-jun Li (Commun. Nonlinear Sci. Numer. Simul., 2016)

Study on image retrieval based on image texture and color statistical projection. - Xiaofei Zheng; Bing Tang; Zhe Gao; Enping Liu; Wei Luo (Neurocomputing, 2016)

A scalable frequent user association mining algorithm using MapReduce. - Li Zhang 096; Bing Tang (ICNC-FSKD, 2017)

A Grasp Strategy for Polygonal Objects Using a Honeycomb Pneumatic Network Soft Gripper. - Bing Tang; Rongyun Cao; Haoyu Zhao; Xiaoping Chen (RiTA, 2017)

Quantum breathers and two-breathers in the β-Fermi-Pasta-Ulam chain with the second-neighbor coupling. - Bing Tang (Commun. Nonlinear Sci. Numer. Simul., 2017)

Availability/Network-aware MapReduce over the Internet. - Bing Tang; Mingdong Tang; Gilles Fedak; Haiwu He (Inf. Sci., 2017)

基于MPI和OpenMP混合编程的非负矩阵分解并行算法 (Parallel Algorithm of Nonnegative Matrix Factorization Based on Hybrid MPI and OpenMP Programming Model). - Bing Tang; Laurent Bobelin; Haiwu He (计算机科学, 2017)

GPU-accelerated Large-Scale Non-negative Matrix Factorization Using Spark. - Bing Tang; Linyao Kang; Yanmin Xia; Li Zhang 096 (CollaborateCom, 2018)

Fault Diagnosis and Identification for Discrete-Time Linear Time-Varying Systems Based on Fault Observer and RLSKF. - Zihan Wang; Chenglin Wen; Bing Tang; Yi Ren (ICCAIS, 2018)

Modulational instability and discrete breathers in a nonlinear helicoidal lattice model. - Jinmin Ding; Tianle Wu; Xia Chang; Bing Tang (Commun. Nonlinear Sci. Numer. Simul., 2018)

Mobility-Aware and Data Caching-Based Task Scheduling Strategy in Mobile Edge Computing. - Linyao Kang; Bing Tang; Li Zhang 096; Lujie Tang (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Mining Collaboration Patterns Between APIs for Mashup Creation in Web of Things. - Mingdong Tang; Yanmin Xia; Bing Tang; Yongmei Zhou; Buqing Cao; Rong Hu (IEEE Access, 2019)

A Novel Task Caching and Migration Strategy in Multi-Access Edge Computing Based on the Genetic Algorithm. - Lujie Tang; Bing Tang; Linyao Kang; Li Zhang 096 (Future Internet, 2019)

基于GPU加速和非负矩阵分解的并行协同过滤推荐算法 (GPU-accelerated Non-negative Matrix Factorization-based Parallel Collaborative Filtering Recommendation Algorithm). - Linyao Kang; Bing Tang; Yanmin Xia; Li Zhang 096 (计算机科学, 2019)

Mobile Edge Server Placement Based on Bionic Swarm Intelligent Optimization Algorithm. - Feiyan Guo; Bing Tang; Linyao Kang; Li Zhang 096 (CollaborateCom (2), 2020)

Reliable Mobile Edge Service Offloading Based on P2P Distributed Networks. - Lujie Tang; Bing Tang; Luyu Tang; Feiyan Guo; Jiaming Zhang (Symmetry, 2020)

Microservice Selection in Edge-Cloud Collaborative Environment: A Deep Reinforcement Learning Approach. - Feiyan Guo; Bing Tang; Mingdong Tang; Hui Zhao 002; Wei Liang 005 (CSCloud/EdgeCom, 2021)

Priority and Dependency-Based DAG Tasks Offloading in Fog/Edge Collaborative Environment. - Xing Fu; Bing Tang; Feiyan Guo; Linyao Kang (CSCWD, 2021)

Unsupervised Anomaly Detection with Variational Auto-Encoder and Local Outliers Factor for KPIs. - Shili Yan; Bing Tang; Jincheng Luo; Xing Fu; Xiaoyuan Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Composition pattern-aware web service recommendation based on depth factorisation machine. - Bing Tang; Mingdong Tang; Yanmin Xia; Meng-Yen Hsieh (Connect. Sci., 2021)

Joint optimization of network selection and task offloading for vehicular edge computing. - Lujie Tang; Bing Tang; Li Zhang 096; Feiyan Guo; Haiwu He (J. Cloud Comput., 2021)

Efficient task offloading using particle swarm optimization algorithm in edge computing for industrial internet of things. - Qian You; Bing Tang (J. Cloud Comput., 2021)

Mobile edge server placement based on meta-heuristic algorithm. - Feiyan Guo; Bing Tang; Jiaming Zhang (J. Intell. Fuzzy Syst., 2021)

Collaborative Filtering Recommendation Using Nonnegative Matrix Factorization in GPU-Accelerated Spark Platform. - Bing Tang; Linyao Kang; Li Zhang 096; Feiyan Guo; Haiwu He (Sci. Program., 2021)

A Negative Sampling-Based Service Recommendation Method. - Ziming Xie; Buqing Cao; Xinwen Liyan; Bing Tang; Yueying Qing; Xiang Xie; Siyuan Wang (CollaborateCom (1), 2022)

Availability-Constrained Application Deployment in Hybrid Cloud-Edge Collaborative Environment. - Wei Xu; Bing Tang; Feiyan Guo; Xiaoyuan Zhang (CollaborateCom (1), 2022)

Application Deployment in Mobile Edge Computing Environment Based on Microservice Chain. - Haiyan Li; Bing Tang; Wei Xu; Feiyan Guo; Xiaoyuan Zhang (CSCWD, 2022)

Container Scheduling in Hybrid Cloud-Edge Collaborative System. - Jincheng Luo; Bing Tang; Jiaming Zhang (GLOBECOM, 2022)

Operator Placement for IoT Data Streaming Applications in Edge Computing Environment. - Sixin Chen; Bing Tang; Qing Yang; Yuanyuan Liu (ICA3PP, 2022)

Robust and Unsupervised KPI Anomaly Detection Based on Highly Sensitive Conditional Variational Auto-Encoders. - Shili Yan; Bing Tang; Qing Yang; Yijia He; Xiaoyuan Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Blockchain-based Distributed Storage System for Task Offloading in Vehicular Edge Computing. - Yutian Zhang; Bing Tang; Qing Yang; Xiaoyuan Zhang; Jincheng Luo (ISPA/BDCloud/SocialCom/SustainCom, 2022)

EICache: A learning-based intelligent caching strategy in mobile edge computing. - Bing Tang; Linyao Kang (Peer-to-Peer Netw. Appl., 2022)

WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems. - Bing Tang; Gilles Fedak (IEEE Trans. Big Data, 2022)

Joint optimization of delay and cost for microservice composition in mobile edge computing. - Feiyan Guo; Bing Tang; Mingdong Tang (World Wide Web, 2022)

Multi-User Semantic Communication on Hybrid NOMA. - Zian Meng; Likun Huang; Qiang Li 009; Wensheng Zhang 004; Bing Tang; Chen Wang 011; Xiaohu Ge (APCC, 2023)

Cost-Optimized Microservice Deployment for IoT Application in Cloud-Edge Collaborative Environment. - Xiaoyuan Zhang; Bing Tang; Qing Yang; Wei Xu; Feiyan Guo (CSCWD, 2023)

Semantic Communication on Multi-Hop Concatenated Relay Networks. - Yiran Yin; Likun Huang; Qiang Li 009; Bing Tang; Ashish Pandharipande; Xiaohu Ge (ICCC, 2023)

Automatic Generation of Robot Facial Expressions with Preferences. - Bing Tang; Rongyun Cao; Rongya Chen; Xiaoping Chen; Bei Hua; Feng Wu (ICRA, 2023)

Microservice Auto-Scaling Algorithm Based on Workload Prediction in Cloud-Edge Collaboration Environment. - Zijun Peng; Bing Tang; Wei Xu; Qing Yang; Ehsanullah Hussaini; Yuqiang Xiao; Haiyan Li (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

UniFaRN: Unified Transformer for Facial Reaction Generation. - Cong Liang 002; Jiahe Wang; Haofan Zhang; Bing Tang; Junshan Huang; Shangfei Wang; Xiaoping Chen (ACM Multimedia, 2023)

Text Semantic Communication Systems with Sentence-Level Semantic Fidelity. - Bing Tang; Qiang Li 009; Likun Huang; Yiran Yin (WCNC, 2023)

Web Service Recommendation via Integrating Heterogeneous Graph Attention Network Representation and FiBiNET Score Prediction. - Buqing Cao; Mi Peng; Lulu Zhang 004; Yueying Qing; Bing Tang; Guosheng Kang; Jianxun Liu 001 (IEEE Trans. Serv. Comput., 2023)

Deep reinforcement learning-based microservice selection in mobile edge computing. - Feiyan Guo; Bing Tang; Mingdong Tang; Wei Liang 005 (Clust. Comput., 2023)

Cost-Aware Deployment of Microservices for IoT Applications in Mobile Edge Computing Environment. - Bing Tang; Feiyan Guo; Buqing Cao; Mingdong Tang; Kuan-Ching Li (IEEE Trans. Netw. Serv. Manag., 2023)

Joint optimization of energy and delay for computation offloading in vehicular edge computing. - Bing Tang; Shaifeng Zheng; Qing Yang (Peer Peer Netw. Appl., 2023)

Container-based task scheduling in cloud-edge collaborative environment using priority-aware greedy strategy. - Bing Tang; Jincheng Luo; Mohammad S. Obaidat; Pandi Vijayakumar (Clust. Comput., 2023)

An edge server deployment method based on optimal benefit and genetic algorithm. - Hongfan Ye; Buqing Cao; Jianxun Liu 001; Pei Li; Bing Tang; Zhenlian Peng (J. Cloud Comput., 2023)

Cooperative Semantic Communication With On-Demand Semantic Forwarding. - Bing Tang; Likun Huang; Qiang Li 009; Ashish Pandharipande; Xiaohu Ge (IEEE Open J. Commun. Soc., 2024)

Container-based data-intensive application scheduling in hybrid cloud-edge collaborative environment. - Bing Tang; Jincheng Luo; Jiaming Zhang (Softw. Pract. Exp., 2024)

Operator placement for data stream processing based on publisher/subscriber in hybrid cloud-fog-edge infrastructure. - Bing Tang; Huiyuan Han; Qing Yang; Wei Xu (Clust. Comput., 2024)

AFL-HCS: asynchronous federated learning based on heterogeneous edge client selection. - Bing Tang; Yuqiang Xiao; Li Zhang 096; Buqing Cao; Mingdong Tang; Qing Yang (Clust. Comput., 2024)

SMART: Cost-Aware Service Migration Path Selection Based on Deep Reinforcement Learning. - Buqing Cao; Hongfan Ye; Jianxun Liu 001; Bing Tang; Zhi Tao; Shuiguang Deng (IEEE Trans. Intell. Transp. Syst., 2024)

Vehicle edge server deployment based on reinforcement learning in cloud-edge collaborative environment. - Feiyan Guo; Bing Tang; Ying Wang; Xiaoqing Luo (Clust. Comput., 2024)

Energy-Latency Tradeoffs for Service Placement Based on Reinforcement Learning in Edge Computing. - Bing Tang; Haiyan Li; Wei Xu; Buqing Cao; Qing Yang (Concurr. Comput. Pract. Exp., 2025)

An accelerated double-step derivative-free projection method based algorithm using Picard-Mann iterative process for solving convex constrained nonlinear equations. - Jinkui Liu; Bing Tang; T. Liu; Z. T. Yang; S. Liang (J. Comput. Appl. Math., 2025)

Cost-optimized Internet of Things application deployment in edge computing environment. - Bing Tang; Xiaoyuan Zhang; Qing Yang; Xin Qi; Fayez Alqahtani 001; Amr Tolba (Int. J. Commun. Syst., 2025)

TP-MDU: A Two-Phase Microservice Deployment Based on Minimal Deployment Unit in Edge Computing Environment. - Bing Tang; Zhikang Wu; Wei Xu; Buqing Cao; Mingdong Tang; Qing Yang (IEEE Trans. Netw. Serv. Manag., 2025)

A deep Q-network-based edge service offloading in cloud-edge-terminal environment. - Buqing Cao; Yating Yi; Zilong Zeng; Hongfan Ye; Bing Tang (J. Supercomput., 2025)

Efficient Layer Sharing for Application Deployment in Edge Computing Environment. - Bing Tang; Yahui Ma; Yu Liu; Qing Yang; Buqing Cao; Mingdong Tang (IEEE Trans. Consumer Electron., 2025)

Joint Optimization of Dynamic Service Selection and Request Routing in Cloud-Edge Collaborative Environments. - Bing Tang; Wei Xu; Li Zhang 096; Buqing Cao; Qing Yang; Kuanching Li (IEEE Internet Things J., 2025)

An inertia projection method for nonlinear pseudo-monotone equations with convex constraints. - Jinkui Liu; Ning Zhang; Bing Tang (Numer. Algorithms, 2025)