Federate Migration in a Service Oriented HLA RTI. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Ke Pan (DS-RT, 2007)

A Service Oriented HLA RTI on the Grid. - Ke Pan; Stephen John Turner; Wentong Cai 001; Zengxiang Li (ICWS, 2007)

An Efficient Sort-Based DDM Matching Algorithm for HLA Applications with a Large Spatial Environment. - Ke Pan; Stephen John Turner; Wentong Cai 001; Zengxiang Li (PADS, 2007)

Improving performance by replicating simulations with alternative synchronization approaches. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Ke Pan (WSC, 2008)

Multi-user Gaming on the Grid Using a Service Oriented HLA RTI. - Ke Pan; Stephen John Turner; Wentong Cai 001; Zengxiang Li (DS-RT, 2009)

Implementation of Data Distribution Management Services in a Service Oriented HLA RTI. - Ke Pan; Stephen John Turner; Wentong Cai 001; Zengxiang Li (WSC, 2009)

A Hybrid HLA Time Management Algorithm Based on Both Conditional and Unconditional Information. - Ke Pan; Stephen John Turner; Wentong Cai 001; Zengxiang Li (Simul., 2009)

A Three-Phases Byzantine Fault Tolerance Mechanism for HLA-Based Simulation. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Ke Pan (DS-RT, 2010)

Federate Fault Tolerance in HLA-Based Simulation. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Ke Pan (PADS, 2010)

A replication structure for efficient and fault-tolerant parallel and distributed simulations. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Ke Pan (SpringSim, 2010)

Dead Reckoning-Based Update Scheduling against Message Loss for Improving Consistency in DVEs. - Zengxiang Li; Wentong Cai 001; Xueyan Tang; Suiping Zhou (PADS, 2011)

A dynamic sort-based DDM matching algorithm for HLA applications. - Ke Pan; Stephen John Turner; Wentong Cai 001; Zengxiang Li (ACM Trans. Model. Comput. Simul., 2011)

Fair and Efficient Dead Reckoning-Based Update Dissemination for Distributed Virtual Environments. - Zengxiang Li; Xueyan Tang; Wentong Cai 001; Stephen John Turner (PADS, 2012)

Loss-aware DR-based update scheduling for improving consistency in DVEs. - Zengxiang Li; Wentong Cai 001; Xueyan Tang; Suiping Zhou (J. Simulation, 2012)

Efficient and fault tolerant HLA-based simulation - Zengxiang Li (2012)

Accelerating optimistic HLA-based simulations in virtual execution environments. - Zengxiang Li; Xiaorong Li; Ta Nguyen Binh Duong; Wentong Cai 001; Stephen John Turner (SIGSIM-PADS, 2013)

Compensatory dead-reckoning-based update scheduling for distributed virtual environments. - Zengxiang Li; Xueyan Tang; Wentong Cai 001; Xiaorong Li (Simul., 2013)

OMTiR: Open Market for Trading Idle Cloud Resources. - Murat Karakus 003; Zengxiang Li; Wentong Cai 001; Ta Nguyen Binh Duong (CloudCom, 2014)

Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems. - Zengxiang Li; Rubing Duan; Long Wang 005; Sifei Lu; Zheng Qin 004; Rick Siow Mong Goh (CloudCom, 2014)

A User Interface for Large-Scale Demographic Simulation. - Cristina Montañola-Sales; Josep Casanovas-Garcia; Bhakti S. S. Onggo; Zengxiang Li (CloudCom, 2014)

Two-Level Storage QoS to Manage Performance for Multiple Tenants with Multiple Workloads. - Shu Qin Ren; Shibin Cheng; Yu Zhang 028; En Sheng Lim; Khai Leong Yong; Zengxiang Li (CloudCom, 2014)

Hierarchical resource management for enhancing performance of large-scale simulations on data centers. - Zengxiang Li; Xiaorong Li; Long Wang 005; Wentong Cai 001 (SIGSIM-PADS, 2014)

Un-identical federate replication structure for improving performance of HLA-based simulations. - Zengxiang Li; Wentong Cai 001; Stephen John Turner (Simul. Model. Pract. Theory, 2014)

Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications. - Zengxiang Li; Long Wang 005; Yu Zhang 028; Tram Truong Huu; En Sheng Lim; Purnima Murali Mohan; Shibin Cheng; Shu Qin Ren; Mohan Gurusamy; Zheng Qin 004; Rick Siow Mong Goh (DS-RT, 2015)

Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Xiaorong Li; Ta Nguyen Binh Duong; Rick Siow Mong Goh (ACM Trans. Model. Comput. Simul., 2015)

RA2: Predicting Simulation Execution Time for Cloud-Based Design Space Explorations. - Ta Nguyen Binh Duong; Jinghui Zhong; Wentong Cai 001; Zengxiang Li; Suiping Zhou (DS-RT, 2016)

Performance and Monetary Cost of Large-Scale Distributed Graph Processing on Amazon Cloud. - Zengxiang Li; Thai Nguyen Hung; Sifei Lu; Rick Siow Mong Goh (ICCCRI, 2016)

HubPPR: Effective Indexing for Approximate Personalized PageRank. - Sibo Wang 001; Youze Tang; Xiaokui Xiao; Yin Yang 001; Zengxiang Li (Proc. VLDB Endow., 2016)

Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations. - Zengxiang Li; Wentong Cai 001; Stephen John Turner; Zheng Qin 004; Rick Siow Mong Goh (Simul. Model. Pract. Theory, 2016)

Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. - Zengxiang Li; Bowen Zhang; Shen Ren; Yong Liu 026; Zheng Qin 004; Rick Siow Mong Goh; Mohan Gurusamy (CCGrid, 2017)

Optimize the FP-Tree Based Graph Edge Weight Computation on Multi-core MapReduce Clusters. - Yuhong Feng; Meihong Guo; Kezhong Lu; Zhong Ming 001; Haoming Zhong; Wentong Cai 001; Zengxiang Li (ICPADS, 2017)

Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution. - Yulin Wu; Xiangting Hou; Wen Jun Tan; Zengxiang Li; Wentong Cai 001 (SIGSIM-PADS, 2017)

Traffic Speed Prediction with Convolutional Neural Network Adapted for Non-linear Spatio-temporal Dynamics. - Shen Ren; Bo Yang; Liye Zhang; Zengxiang Li (BigSpatial@SIGSPATIAL, 2018)

Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs. - Zengxiang Li; Shen Ren; Sifei Lu; Jiachun Guo; Wentong Cai 001; Qin Zheng 002; Rick Siow Mong Goh (ICPADS, 2018)

Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance. - Zengxiang Li; Zhe Xiao; Quanqing Xu; Ekanut Sotthiwat; Rick Siow Mong Goh; Xueping Liang (ICPADS, 2018)

EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain. - Zhe Xiao; Zengxiang Li; Yong Liu 026; Ling Feng; Weiwen Zhang; Thanarit Lertwuthikarn; Rick Siow Mong Goh (ICPADS, 2018)

Building an Ethereum-Based Decentralized Smart Home System. - Quanqing Xu; Zhaozheng He; Zengxiang Li; Mingzhong Xiao (ICPADS, 2018)

Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems. - Weiwen Zhang; Yong Liu 026; Long Wang 005; Zengxiang Li; Rick Siow Mong Goh (ICPADS, 2018)

A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data. - Xi Lin 007; Xiaokui Xiao; Zengxiang Li (ISC2, 2018)

Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. - Xi Lin 007; Yequan Wang; Xiaokui Xiao; Zengxiang Li; Sourav S. Bhowmick (CIKM, 2019)

Efficient Multi-party Computation Algorithm Design for Real-World Applications. - Zengxiang Li; Chutima Kitcharoenpaisan; Phond Phunchongharn; Yechao Yang; Rick Siow Mong Goh; Yusen Li (ICPADS, 2019)

Efficient Parallel Simulation over Large-scale Social Contact Networks. - Yulin Wu; Wentong Cai 001; Zengxiang Li; Wen Jun Tan; Xiangting Hou (ACM Trans. Model. Comput. Simul., 2019)

Predicting Emission Costs for Urban Transportation in Smart Cities using Machine Learning Models. - Vikash Sathiamoorthy; Eda Koksal Ahmed; Bharadwaj Veeravalli; Zengxiang Li (BDIOT, 2020)

Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. - Renuga Kanagavelu; Zengxiang Li; Juniarto Samsudin; Yechao Yang; Feng Yang 011; Rick Siow Mong Goh; Mervyn Cheah; Praewpiraya Wiwatphonthana; Khajonpong Akkarajitsakul; Shangguang Wang (CCGRID, 2020)

An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. - Jun Zhao 007; Jing Tang 004; Zengxiang Li; Huaxiong Wang; Kwok-Yan Lam; Kaiping Xue (ICDCS, 2020)

Practical Secure Two-Party EdDSA Signature Generation with Key Protection and Applications in Cryptocurrency. - Qi Feng; Debiao He; Min Luo 002; Zengxiang Li; Kim-Kwang Raymond Choo (TrustCom, 2020)

FARM: A Fairness-Aware Recommendation Method for High Visibility and Low Visibility Mobile APPs. - Qiliang Zhu; Qibo Sun; Zengxiang Li; Shangguang Wang (IEEE Access, 2020)

Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. - Huafei Zhu; Zengxiang Li; Merivyn Cheah; Rick Siow Mong Goh (CoRR, 2020)

Some new forms of permutation polynomials based on the AGW criterion. - Zengxiang Li; Miao Wang; Jianhua Wu; Xishun Zhu (Finite Fields Their Appl., 2020)

Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. - Zhe Xiao; Zengxiang Li; Yechao Yang; Piao Chen; Ryan Wen Liu; Wei Jing; Yauheni Pyrloh; Ekanut Sotthiwat; Rick Siow Mong Goh (IEEE Trans. Comput. Soc. Syst., 2020)

Phase Transition in Taxi Dynamics and Impact of Ridesharing. - Bo Yang; Shen Ren; Erika Fille T. Legara; Zengxiang Li; Edward Y. X. Ong; Louis Lin; Christopher P. Monterola (Transp. Sci., 2020)

Partially Encrypted Multi-Party Computation for Federated Learning. - Ekanut Sotthiwat; Liangli Zhen; Zengxiang Li; Chi Zhang 007 (CCGRID, 2021)

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. - Yang Zhao 017; Jun Zhao 007; Linshan Jiang; Rui Tan 001; Dusit Niyato; Zengxiang Li; Lingjuan Lyu; Yingbo Liu (IEEE Internet Things J., 2021)

CluFL: Cluster-driven Weighted FL Model Aggregation Strategy. - Hanchi Shen; Jun Li 004; Kang Wei; Pengcheng Xia; Sirui Tian; Ming Ding 001; Zengxiang Li (ICPADS, 2022)

Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting. - Shubao Zhao; Jia Liu; Guoliang Ma; Jie Yang; Di Liu; Zengxiang Li (FL@IJCAI, 2022)

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, 2022)

LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data. - Lianlian Jiang; Yuexuan Wang; Wenyi Zheng; Chao Jin; Zengxiang Li; Sin G. Teo (CoRR, 2022)

Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery. - Sheng Guo; Zengxiang Li; Hui Liu; Shubao Zhao; Cheng Hao Jin (CoRR, 2022)

A Survey of Smart Contract Formal Specification and Verification. - Palina Tolmach; Yi Li 008; Shangwei Lin 001; Yang Liu 003; Zengxiang Li (ACM Comput. Surv., 2022)

Reinforcement learning-enabled genetic algorithm for school bus scheduling. - Eda Koksal Ahmed; Zengxiang Li; Bharadwaj Veeravalli; Shen Ren (J. Intell. Transp. Syst., 2022)

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. - Yuanyuan Chen; Zichen Chen; Sheng Guo; Yansong Zhao; Zelei Liu; Pengcheng Wu; Chengyi Yang; Zengxiang Li; Han Yu 001 (AAAI, 2023)

SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values. - Chengyi Yang; Zhaoxiang Hou; Sheng Guo; Hui Chen; Zengxiang Li (ICME, 2023)

Hierarchical Federated Learning Incentivization for Gas Usage Estimation. - Has Sun; Xiaoli Tang 001; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu 001 (CoRR, 2023)

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. - Yulan Gao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Han Yu 001 (CoRR, 2023)

Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. - Zengxiang Li; Zhaoxiang Hou; Hui Liu; Ying Wang 086; Tongzhi Li; Longfei Xie; Chao Shi; Chengyi Yang; Weishan Zhang; Zelei Liu; Liang Xu 009 (CoRR, 2023)

CFSL: A Credible Federated Self-Learning Framework. - Weishan Zhang; Zhicheng Bao; Yuru Liu; Liang Xu 009; Qinghua Lu 001; Huansheng Ning; Xiao Wang 002; Su Yang 001; Fei-Yue Wang 001; Zengxiang Li (IEEE Internet Things J., 2023)

Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". - Yang Zhao 017; Jun Zhao 007; Linshan Jiang; Rui Tan 001; Dusit Niyato; Zengxiang Li; Lingjuan Lyu; Yingbo Liu (IEEE Internet Things J., 2023)

R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications. - Weishan Zhang; Fa Yu; Xiao Wang 002; Xingjie Zeng; Hongwei Zhao; Yonglin Tian; Fei-Yue Wang 001; Longfei Li; Zengxiang Li (IEEE Trans. Ind. Informatics, 2023)

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. - Hao Sun; Xiaoli Tang 001; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu 001 (AAAI, 2024)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CIKM, 2024)

STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting. - Zhengyang Zhao; Haitao Yuan 002; Nan Jiang; Minxiao Chen; Ning Liu 014; Zengxiang Li (DASFAA (1), 2024)

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. - Yulan Gao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Han Yu 001; Xiaoxiao Li (ICME, 2024)

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. - Xiaoli Tang 001; Han Yu 001; Zengxiang Li; Xiaoxiao Li (IJCAI, 2024)

Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. - Zengxiang Li; Zhaoxiang Hou; Hui Liu; Tongzhi Li; Chengyi Yang; Ying Wang 086; Chao Shi; Longfei Xie; Weishan Zhang; Liang Xu 009; Zelei Liu (WWW (Companion Volume), 2024)

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. - Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022 (CoRR, 2024)

Advances and Open Challenges in Federated Learning with Foundation Models. - Chao Ren 006; Han Yu 001; Hongyi Peng; Xiaoli Tang 001; Anran Li 001; Yulan Gao; Alysa Ziying Tan; Bo Zhao; Xiaoxiao Li; Zengxiang Li; Qiang Yang 001 (CoRR, 2024)

Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations. - Yumeng Shao; Jun Li 004; Long Shi 001; Kang Wei; Ming Ding 001; Qianmu Li; Zengxiang Li; Wen Chen 001; Shi Jin 002 (CoRR, 2024)

Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT. - Jixuan Cui; Jun Li 004; Zhen Mei; Yiyang Ni; Wen Chen 001; Zengxiang Li (CoRR, 2024)

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. - Xinxing Zhou; Jiaqi Ye; Shubao Zhao; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Yanlong Wen; Xiaojie Yuan (CoRR, 2024)

Rethinking self-supervised learning for time series forecasting: A temporal perspective. - Shubao Zhao; Xinxing Zhou; Ming Jin 005; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Qingsong Wen; Yi Wang 022; Yanlong Wen; Xiaojie Yuan (Knowl. Based Syst., 2024)

Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples. - Yajiao Dai; Zhen Mei; Jun Li 004; Zengxiang Li; Kang Wei; Ming Ding 001; Sheng Guo 004; Wen Chen 001 (IEEE Trans. Instrum. Meas., 2024)

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. - Hao Wang; Ruonan Liu; Steven X. Ding; Qinghua Hu; Zengxiang Li; Hongkuan Zhou (IEEE Trans. Ind. Informatics, 2024)

WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection. - Chengyi Yang; Jia Liu; Hao Sun; Tongzhi Li; Zengxiang Li (IEEE Trans. Big Data, 2024)

Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. - Chi Zhang 007; Ekanut Sotthiwat; Liangli Zhen; Zengxiang Li (IEEE Trans. Big Data, 2024)

HCLTS: Mining Customers' Consumption Patterns in Natural Gas Time Series with Hierarchical Contrastive Learning. - Yuhang Niu; Jiaqi Ye; Shubao Zhao; Zhaoxiang Hou; Chengyi Yang; Zengxiang Li; Yanlong Wen; Xiaojie Yuan (ICASSP, 2025)

Zero-shot Document Retrieval with Hybrid Pseudo-document Retriever. - Dong Sun; Wenya Guo; Xumeng Liu; Ying Zhang; Zhaoxiang Hou; Zengxiang Li (ICASSP, 2025)

Tribe Graph Enhanced Bidirectional Mamba for Multivariate Time Series Forecasting. - Yingqi Zhao; Haiwei Zhang; Jiaqi Ye; Shubao Zhao; Chengyi Yang; Zengxiang Li (ICASSP, 2025)

Prompt Compression based on Key-Information Density. - Yuhao Lin; Wenya Guo; Ying Zhang 015; Chengyi Yang; Zengxiang Li (Expert Syst. Appl., 2025)

Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT. - Jixuan Cui; Jun Li 108; Zhen Mei; Yiyang Ni; Wen Chen 001; Zengxiang Li (IEEE Trans. Instrum. Meas., 2025)

Self-Supervised Learning for Multimodal Fault Diagnosis With Shapley-Value Weighted Transformers. - Yajiao Dai; Jun Li 004; Zhen Mei; Yiyang Ni; Sheng Guo 004; Zengxiang Li (IEEE Trans. Instrum. Meas., 2025)

Generative Image Reconstruction From Gradients. - Ekanut Sotthiwat; Liangli Zhen; Chi Zhang 007; Zengxiang Li; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2025)

Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation. - Sheng Guo 004; Hui Chen; Yang Liu 165; Chengyi Yang; Zengxiang Li; Cheng Hao Jin (IEEE Trans. Ind. Informatics, 2025)

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). - Yang Zhou 017; Chrystie Wan Ning Quek; Jun Zhou 014; Yan Wang 015; Yang Bai; Yuhe Ke; Jie Yao; Laura Gutierrez; Zhen Ling Teo; Darren Shu Jeng Ting; Brian T. Soetikno; Christopher S. Nielsen; et al. (CoRR, 2025)

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis. - Yajiao Dai; Jun Li 004; Zhen Mei; Yiyang Ni; Shi Jin 002; Zengxiang Li; Sheng Guo 004; Wei Xiang 001 (CoRR, 2025)