新奥新智数字技术研究院

主要研究和项目

新奥新智数字技术研究院（数研院）致力于产业互联网数据智能研究，推动企业数智化转型。近年来，数研院聚焦行业人工智能和联合学习核心技术，研发成果丰硕，累计申请四百余项发明专利， 发表十余篇高质量论文并在国际会议获奖，参与多项技术标准制定。

带领约50人的研发团队，聚焦工业互联网、人工智能、联合学习、隐私计算等前沿技术研究和数据智能平台开发。推动研发成果在能源分销运营，供应链优化、能源安全管理、综合能源优化、智城智家、健康生活等新奥核心业务场景落地应用。参与集团技术发展战略制定和推动产学研合作，利用新奥的场景和数据优势，建立联合学习研发合作生态，树立工业应用标杆案例，参与多个产业联盟和多项技术标准制定。

行业人工智能技术研究
 从新奥集团核心业务场景智能需求出发，研究基于多模态的数据智能算法，包括基于时序数据的预测算法，基于物联数据的异常检测和故障诊断算法，基于图像、视频和特种设备成像的计算机视觉算法，基于贝叶斯网络和知识图谱的认知智能算法，基于运筹学、仿生学和强化学习等决策优化算法。同时致力于人工智能前沿技术研究，包括产业基础模型预训练、迁移学习和自适应学习，自监督学习，模型压缩和边云协同部署，以及模型可解释性和可信人工智能等。
联合学习技术研究
 在保护数据主权和隐私安全的前提下，共同挖掘数据背后价值，共建产业智能生态。支持多种机器学习和深度学习的联合学习算法和自适应的模型聚合策略。利用知识蒸馏、迁移学习、自监督学习、难样本选择、相似数据聚类等先进人工智能技术降低联合学习通信开销，提高边云协同效率，支持生态伙伴使用异构的数据、系统和模型，高效共创优质AI模型。采用安全多方计算、同态加密、可信执行环境和差分隐私等隐私保护技术，保障安全等级的同时降低计算和通信开销。通过分配激励机制衡量参与方对智能模型的贡献，鼓励贡献高价值数据，激励产业生态互信合作、公平竞争和可持续发展。
依托新奥集团在能源等领域的行业优势，建立产学研生态合作体系， 搭建智能算法开发部署平台和跨企业的联合学习试验平台 。阶段性研发成果在新奥能源领域核心应用场景中得到实验验证和落地应用。
产业互联网应用场景

燃气负荷预测: 利用纵向联合学习安全使用客户生产计划和行业知识，横向联合学习合规打通多家城燃公司的海量客户数据，多变量时序数据对比自监督学习等技术，共创负荷预测产业智能模型，提升客户气量需求预测精度和聚集效率，优化燃气分销运营和供应链管理。

智城智家社区智能安全场景: 利用联合学习技术安全合规打通物业公司、燃气公司、供热公司、政府部门等多方数据， 支持联合隐私计算和联合产业建模，为生态合作提供数据和算法基础。例如掌握住户生活习惯和精准画像支持更加高效安全管理，利用多方图片和视频数据训练智能模型识别户内、公共区域、工商户等安全隐患。

设备运维异常和故障诊断场景:机理分析算法和人工智能算法相结合构建统一设备运维智能管理系统，提出云边协同的异构模型联合学习框架，吸引具有不同数据和算力资源的工厂、设备厂商、传感器厂商、高校实验室， 共建开放包容的合作生态，解决设备故障数据稀缺和智能应用冷启动难等问题，提升产业整体智能水平。

主要期刊论文

Google Scholar | dblp (* 代表同等贡献 )
[TBD] WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection
Chengyi Yang, Jia Liu, Hao Sun, Tongzhi Li and Zengxiang Li
IEEE Transactions on Big Data, IF 4.271, 2022 Accepted
[pdf]
[TBD] Augmented Multi-Party Computation for Secure Federated Learning
Chi Zhang, Sotthiwat Ekant, Liangli Zhen,Zengxiang Li
IEEE Transactions on Big Data,IF 4.271, 2022 Accepted
[pdf]
[ARRAY] CE-Fed: Communication Efficient Multi-party Computation Enabled Federated Learning
Renuga Kanagavelu,Qingsong Wei, Zengxiang Li ,Haibin Zhang,Juniarto Samsudin,Yechao Yang,Rick Siow Mong Goh,Shangguang Wang
ARRAY 2020 Open Access
[pdf]
[TII] R2Fed: Resilient Reinforcement Federated Learning for Industrial Applications
Weishan Zhang,Fa Yu, Xiao Wang,Xingjie Zeng, Hongwei Zhao, Zenglin Tian, Fei-Yue Wang, Hongwei Qi, Zengxiang Li
IEEE Transactions on Industrial Informatics, IF 10.215, 2022 Accepted
[pdf]

主要会议论文

[FL-AAAI ] WT-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection
Chengyi Yang, Jia Liu, Hao Sun, Tongzhi Li and Zengxiang Li
International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 Best Application Award
[pdf]
[FL-AAAI ] Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Sheng Guo, Zengxiang Li Hui Liu, Shubao Zhao and Cheng Hao Jin
International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022
[Arxiv]
[FL-AAAI ] LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Lianlian Jiang, YuexuanWang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo
International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022
[arxiv]
[FL-IJCAI ] Cluster-driven Personalized Federated Learning for Natural Gas Load Forecasting
Shubao Zhao, Jia Liu, Guoliang Ma, Jie Yang, Di Liu and Zengxiang Li
FL-IJCAI 2022 : International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2022 (FL-IJCAI'22) Innovation Award
[pdf]
[IAAI] Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Yuanyuan Chen, Zichen Chen, Yansong Zhao, Zelei Liu, Pengcheng Wu, Sheng Guo, Chengyi Yang, Zengxiang Li and Han Yu
The 35th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-23) AI deployment award
[ICPADS ] CluFL: Cluster-driven Weighted FL Model Aggregation Strategy
Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li
The 28th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2022) Accepted

新加坡科研局高性能计算研究所

主要研究和项目

带领约15人的研发团队，负责（PI）和联合负责（Co-PI）多个有影响力的研究和工业项目，在并行和分布式系统，大数据分析，城市计算，区块链和可信计算等方向深入研究。 通过与大学院所、政府部门、跨国企业的合作，推动研究成果在城市交通、智能制造、智能精准医疗、数据中心等领域应用。

新加坡科研局SERC战略研究基金（2020年1月到2020年12月）
联合主管“可信数据要素流通”项目，研究和融合区块链、安全多方计算、联邦学习等前沿技术，支持跨组织安全数据共享和隐私保护联合学习，探索在医疗、交通、保险、海运、制造业等领域的应用。
主要合作伙伴:资讯通信研究所, 生物医学研究理事会, 计算资源中心
新加坡和德国学术和工业（2+2）国家合作研究计划（2020年1月到2021年12月)
主管“基于区块链的可信供应链”项目，研发融合区块链和隐私保护计算技术的供应链监管框架， 支持透明、高效和可信的个人消费品跨组织供应链。
主要合作伙伴: 金佰利公司，德国弗劳恩霍夫协会， 德国技术监督协会。
工业合作项目： “透明高性能计算” 角色： 核心人员 （2020年3月到2022年2月）
利用大数据分析和机器学习算法，优化数据中心自适应计算资源调度，支持大规模高性能计算任务，包括精准医疗基因计算和流体力学仿真等。
主要合作伙伴:新加坡科研局计算资源中心, 富士通
新加坡基因研究所合作项目（2019年10月到2021年10月）
联合负责“面向国家精准医疗的可扩展高性能计算和机器学习分析系统”项目，研发云原生数据分析平台支持大规模基因计算和医疗数据分析。
主要合作伙伴:新加坡科研局基因研究所, 新加坡保健集团
新加坡科研局工业物联网创新平台（2018年10月到2021年10月）
主管“安全互通平台和互信合作机制”项目，负责多种商用工业物联网平台的互联互通性研究与应用，建立基于区块链技术的跨组织和上下游供应链互信合作机制。
主要合作伙伴:劳斯莱斯、亚马逊
智能制造联合实验室（2018年2月到2020年12月）
联合主管“工业物联网和共享服务”项目，负责边缘、本地和云计算相融合的物联网平台和解决方案，机器学习算法和云原生微服务在制造业的应用。
主要合作伙伴:劳斯莱斯
新加坡城市计算与工程卓越中心 （2015年6月到2018年5月）
主管“大规模数据处理”项目，负责高速并行的大规模城市级别时空数据处理和分析工具，以及研究基于图论的城市计算， 探索城市医疗等资源规划、多模态交通连接性、需求和到达时间预测、电召车和出租车行为分析、校车和救护车调度等方面的应用。
主要合作伙伴: 富士通和新加坡陆交局。
新加坡科研局未来数据中心技术研究计划 （2012年8月到2015年1月）
联合主管“多用户数据中心自适应综合资源调度”项目，负责虚拟计算资源的自适应调度，支持高效率并行分布式应用和节能数据中心 。
主要合作伙伴: 新加坡科研局数据存储研究所，新加坡国立大学

主要期刊论文

[LDH] Retinal Photograph-Based Deep Learning Algorithms for Myopia and a Blockchain Platform to Facilitate Artificial Intelligence Medical Research: A Retrospective Multi-Cohort Study
Tien-En Tan, Ayesha Anees, Cheng Chen, Shaohua Li, Xinxing Xu, Zengxiang Li , Tien Yin Wong, Yong Liu, Daniel Shu Wei Ting, et, al
The Lancet Digital Health, Mar, 2021 Editor’s Pick
[ACS] A Survey of Smart Contract Formal Specification and Verification
Palina Tolmach, Yi Li, Shang-Wei Lin, Yang Liu, Zengxiang Li
ACM Computing Surveys, Mar, 2021
[pdf]
[TBD] Augmented Multi-Party Computation for Secure Federated Learning
Chi Zhang Sotthiwat Ekanut; Liangli Zhen; Joey Tianyi Zhou; Zengxiang Li
IEEE Transactions on Big Data Accepted
[Internet of Things] Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li , Lingjuan Lyu, and Yingbo Liu
IEEE Internet of Things Journal, 2020
[pdf]
[TCSS] Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-grained Transportation Insurance
Zhe Xiao, Zengxiang Li , Yechao Yang, Yauheni Pyrloh, Ekanut Sotthiwat and Rick Siow Mong Goh
Transactions on Computational Social System, 2020
[pdf]
[ITS] Reinforcement Learning enabled Genetic Algorithm for Vehicle Fleet Scheduling
Eda Koksal Ahmed, Zengxiang Li, Bharadwaj Veeravalli and Shen Ren
Journal of Intelligent Transportation Systems, 2020
[pdf]
[Springer-Verlag] Federated Learning for Advanced Manufacturing Based on Industrial IoT Data Analytics
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Shaista Hussain, Yang Yechao, Yang Feng, Goh Siow Mong, Rick, Mervyn Cheah
Book chapter of “The Model Factory as the key enabler for the Future of Manufacturing”. Part of Book Series “Intelligent Systems Reference Library”, Springer-Verlag, 2020
[Book]
[Elsevier] An Effective Blockchain-based Decentralized Application for Smart Building System Management
Quanqing Xu, Zhaozheng He, Zengxiang Li, Mingzhong Xiao, Rick Siow Mong Goh, Yongjun Li
Book chapter of “Real-Time Data Analytics for Large-Scale Sensor Data", Elsevier 2019
[Book]
[Transportation Science] Phase Transition in Taxi Dynamics and Impact of Ridesharing
Bo Yang, Shen Ren, Erika Legara, Zengxiang Li, Edward Ong, Louis Lin and Christophe Monterola
Transportation Science, 2019
[pdf]
[Transport Dynamics] Equality of Public Transit Connectivity: The Influence of MRT Services on Individual Buildings for Singapore
Zengxiang Li, Shen Ren, Nan Hu, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Liwen Hou, Bharadwaj Veeravalli
Transportmetrica B: Transport Dynamics, 2018
[pdf]
[TMCS] Efficient Parallel Simulation over Large-scale Social Contact Networks
Yulin Wu, Wentong Cai, Zengxiang Li, Xiangting Hou, Wen Jun Tan
ACM Trans. on Modeling and Computer Simulation, 2018
[pdf]
[SMPT] Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations
Zengxiang Li, Wentong Cai, Stephen John Turner, Zheng Qin, Rick Siow Mong Goh
Simulation Modelling Practice and Theory
[Book]
[TOMACS] Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations
Zengxiang Li, Wentong Cai, Stephen John Turner, Xiaorong Li, Ta Nguyen Binh Duong, Rick Siow Mong Goh
ACM Transactions on Modeling and Computer Simulation (TOMACS)
[Book]
[SMPT] Un-identical federate replication structure for improving performance of HLA-based simulations
Zengxiang Li, Wentong Cai, Stephen John Turner
Simulation Modelling Practice and Theory(SMPT)
[Book]

主要会议论文

[CCGrid ] Partially Encrypted Multi-Party Computation for Federated Learning”, NEAC workshop IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang
NEAC workshop IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021)
[pdf]
[FL-AAAI ] Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
Huafei Zhu, Zengxiang Li, Mervyn Cheah, Rick Siow Mong Goh,
[arxiv]
[TrustCom] Practical Secure Two-Party EdDSA Signature Generation with Key Protection and Applications in Cryptocurrency
Qi Feng, Debiao He, Zengxiang Li, Li Li, Kim-Kwang Raymond Choo,
IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2020)
[pdf]
[ICDCS ] An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound
Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue
IEEE International Conference on Distributed Computing Systems (ICDCS 2020)
[pdf]
[CCGrid] Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning
Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul and Shangguang Wang
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020)
[pdf]
[ICPADS] Efficient Multi-Party Computation Algorithm Design For Real-World Applications
Zengxiang Li, Chutima Kitcharoenpaisan, Phond Phunchongharnb, Yechao Yang, Rick Siow Mong Goh, and Yusen Li
International Workshop on Emerging Topic in Computer Science (ETCS 2019)
[pdf]
[ICPADS] Blockchain and IoT Data Analytics for Fine-grained Transportation Insurance
Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh and Xueping Liang
International Workshop on Blockchain Technologies and Systems (BCTS’18) 2018 Best Paper Runner Up
[pdf]
[ICPADS] EMRShare: A Cross-organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain
Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn and Rick Siow Mong Goh
International Workshop on Blockchain Technologies and Systems (BCTS’18)
[pdf]
[ICPADS] Building an Ethereum-based Decentralized Smart Home System
Quanqing Xu, Zhaozheng He, Zengxiang Li and Mingzhong Xiao
International Workshop on Blockchain Technologies and Systems (BCTS’18)
[pdf]
[BigSpatial] Traffic Speed Prediction with Convolutional Neural Network Adapted for Non-linear Spatio-temporal Dynamics
Shen Ren, Bo Yang, Liye Zhang and Zengxiang Li
ACM SIGSPATIAL International Workshop on analytics for Big Geospatial Data (BigSpatial 2018)
[pdf]
[ISC2] A Scalable Approach to Inferring Travel Time in Singapore’s Metro Network using Smart Card Data
Xi Lin, Xiaokui Xiao,Zengxiang Li
IEEE International Smart Cities Conference (ISC2 2018)
[pdf]
[CIKM] Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network
Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li and Sourav S. Bhowmick
ACM International Conference on Information and Knowledge Management (CIKM’19)
[pdf]
[ICPADS] Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-based Systems
Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li and Rick Siow Mong Goh,
IEEE International Conference on Parallel and Distributed Systems (ICPADS’18)
[pdf]
[ICPADS] Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs
Zengxiang Li, Shen Ren, Sifei Lu, Jiachun Guo, Wentong Cai, Zheng Qin and Rick Siow Mong Goh
IEEE International Conference on Parallel and Distributed Systems (ICPADS’18) 2018
[pdf]
[ICPADS] Optimize the FP-tree based Graph Edge Weight Computation on Multi-core MapReduce Clusters
Yuhong Feng, Meihong Guo, Kezhong Lu and Zhong Ming (Shenzhen University, China); Haoming Zhong (Webank, China); Wentong Cai (NTU, Singapore); Zengxiang Li (IHPC, Singapore)
IEEE International Conference on Parallel and Distributed Systems (ICPADS’17) 2017
[pdf]
[IEEM] Spatial-temporal Traffic Speed Bands Data Analysis and Prediction
Shen Ren, Lin Han, Zengxiang Li , Bharadwaj Veeravalli
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM’17) 2017 Honorable Mention Award
[pdf]
[IEEM] A Hybrid Regression Technique for House Prices Prediction
Sifei Lu,Zengxiang Li , Zhen Qin, Xulei Yang, Rick Siow Mong GOH
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM’17)
[pdf]
[CCGrid] Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs
Zengxiang Li , Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy
International Symposium on Cluster, Cloud and Grid Computing (CCGrid’17)
[pdf]
[PADS] Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution
Yulin Wu, Xiangting Hou, Wen Jun Tan, Zengxiang Li, Wentong Cai
ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS’17) 2017 Best Paper Award
[pdf]
[VLDB] HubPPR: Effective Indexing for Approximate Personalized PageRank
Sibo Wang, Youze Tang, Xiaokui Xiao, Yin Yang, Zengxiang Li
International Conference on Very Large Data Bases (VLDB’17)
[pdf]
[DS-RT)] Ra2: Predicting simulation execution time for cloud-based design space explorations
Ta Nguyen Binh Duong, Jinghui Zhong, Wentong Cai,Zengxiang Li, Suiping Zhou
2016 IEEE/ACM 20th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
[pdf]
[ICCCRI] Performance and monetary cost of large-scale distributed graph processing on amazon clouds
Zengxiang Li, Thai Nguyen Hung, Sifei Lu, Rick Siow Mong Goh
2016 International Conference on Cloud Computing Research and Innovations (ICCCRI)
[pdf]
[DS-RT)] Integrated QoS-aware resource provisioning for parallel and distributed applications
Zengxiang Li, Long Wang, Yu Zhang, Tram Truong-Huu, En Sheng Lim, Purnima Murali Mohan, Shibin Chen, Shuqin Ren, Mohan Gurusamy, Zheng Qin, Rick Siow Mong Goh
2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
[pdf]
[ICIEA] HiPerData: An autonomous large-scale model building and management platform for big data analytics
Rubing Duan, Rick Siow Mong Goh, Feng Yang, Richard Di Shang, Yong Liu, Zengxiang Li, Long Wang, Sifei Lu, Xulei Yang, Zheng Qin
2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)
[pdf]
[CCTS] Hierarchical parallelization and runtime scheduling for pregel-like graph processing systems
Zengxiang Li, Rubing Duan, Long Wang, Sifei Lu, Zheng Qin, Rick Siow Mong Goh
2014 IEEE 6th International Conference on Cloud Computing Technology and Science(CCTS)
[pdf]
[CCTS] Two-level storage QoS to manage performance for multiple tenants with multiple workloads
Shu Qin Ren, Shibin Cheng, Yu Zhang, En Sheng Lim, Khai Leong Yong, Zengxiang Li
2014 IEEE 6th International Conference on Cloud Computing Technology and Science(CCTS)
[pdf]
[PADS] Hierarchical resource management for enhancing performance of large-scale simulations on data centers
Zengxiang Li, Xiaorong Li, Long Wang, Wentong Cai
Proceedings of the 2nd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation(PADS)
[pdf]

新加坡南洋理工大学博士和助理研究员

新加坡南洋理工大学博士论文

Efficient and Fault Tolerant HLA based Simulation

摘要: 大规模分布式仿真可能涉及大量的计算密集的参与方，因此会耗费大量的时间和资源。而且，每个参与方可能会出现紧急停机和拜占庭式故障，整体分布式仿真故障的风险随着其规模的扩大而增加。在这篇博士毕业论文中，我们提出和实现了解耦的仿真系统结构，并充分利用其优势设计和实践支持基于HLA分布式仿真的高效计算和容错机制。
•基于解耦的仿真系统结构，动态迁移参与方仿真程序。
•通过参与方仿真程序冗余，显著提升整体分布式仿真性能
•基于检查点和仿真程序冗余，设计紧急停机和拜占庭式故障容错机制

主要期刊论文

[Simulation] Compensatory dead-reckoning-based update scheduling for distributed virtual environments
Zengxiang Li,Xueyan Tang, Wentong Cai, Xiaorong Li
Simulation
[pdf]
[Simulation] Loss-aware DR-based update scheduling for improving consistency in DVEs
Zengxiang Li,Wentong Cai, Xueyan Tang, Suiping Zhou
Journal of Simulation
[pdf]
[TOMACS] A dynamic sort-based DDM matching algorithm for HLA applications
Ke Pan, Stephen John Turner, Wentong CaiZengxiang Li
ACM Transactions on Modeling and Computer Simulation
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[PADS] A replication structure for efficient and fault-tolerant parallel and distributed simulations
Zengxiang Li,Wentong Cai, Stephen John Turner, Ke Pan
Proceedings of the 2010 Spring Simulation Multiconference
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[Simulation] A hybrid HLA time management algorithm based on both conditional and unconditional information
Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
Simulation
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主要会议论文

[PADS] Accelerating optimistic HLA-based simulations in virtual execution environments
Zengxiang Li,Xiaorong Li, TA Nguyen Binh Duong, Wentong Cai, Stephen John Turner
Proceedings of the 1st ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
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[Digest APMRC] Optimized sort partition: A file assignment strategy to achieve minimized response time for parallel storage systems
Y. Yu; Y. Zhu; W. Ng; J. Samsudin; Zengxiang Li
2012 Digest APMRC
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[PADS] Fair and efficient dead reckoning-based update dissemination for distributed virtual environments
Zengxiang Li,Xueyan Tang, Wentong Cai, Stephen John Turner
2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation
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[PADS] Dead reckoning-based update scheduling against message loss for improving consistency in dves
Zengxiang Li,Wentong Cai, Xueyan Tang, Suiping Zhou
2011 IEEE Workshop on Principles of Advanced and Distributed Simulation
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[DS-RT] A Three-Phases Byzantine Fault Tolerance Mechanism for HLA-Based Simulation
Zengxiang Li,Wentong Cai, Stephen John Turner, Ke Pan
2010 IEEE/ACM 14th International Symposium on Distributed Simulation and Real Time Applications
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[PADS] Federate fault tolerance in HLA-based simulation
Zengxiang Li,Wentong Cai, Stephen John Turner, Ke Pan
2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
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[WSC] Implementation of data distribution management services in a service oriented HLA RTI
Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
Proceedings of the 2009 Winter Simulation Conference (WSC)
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[DS-RT] Multi-user gaming on the grid using a service oriented HLA RTI
Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
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[WSC] Improving performance by replicating simulations with alternative synchronization approaches
Zengxiang Li,Wentong Cai, Stephen John Turner, Ke Pan
2008 Winter Simulation Conference
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[PADS] A hybrid HLA time management algorithm based on both conditional and unconditional information
Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2008 22nd Workshop on Principles of Advanced and Distributed Simulation
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[DS-RT'07] Federate migration in a service oriented hla rti
Zengxiang Li,Wentong Cai, Stephen John Turner, Ke Pan
11th IEEE International Symposium on Distributed Simulation and Real-Time Applications (DS-RT'07)
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[ICWS] A service oriented HLA RTI on the grid
Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
IEEE International Conference on Web Services (ICWS 2007)
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[PADS] An efficient sort-based DDM matching algorithm for HLA applications with a large spatial environment
Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
21st International Workshop on Principles of Advanced and Distributed Simulation (PADS'07)
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