Zengxiang Li - RankMe

106 papers A* 4A 6B 17C 9Misc 5Journal 53Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances and Open Challenges in Federated Foundation Models. IEEE Commun. Surv. Tutorials Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Bo Zhao, Liping Yi, Alysa Ziying Tan, Yulan Gao, Anran Li, Xiaoxiao Li, Zengxiang Li, Qiang Yang
2026	J	`jnl`	Noise-robust and sector-aware representation learning for natural gas demand forecasting. Expert Syst. Appl. Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2026	J	`jnl`	Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations. IEEE Trans. Emerg. Top. Comput. Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin
2025	J	`jnl`	Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT. IEEE Trans. Instrum. Meas. Jixuan Cui, Jun Li, Zhen Mei, Yiyang Ni, Wen Chen, Zengxiang Li
2025	J	`jnl`	EVLF-FM: Explainable Vision Language Foundation Model for Medicine. CoRR Yang Bai, Haoran Cheng, Yang Zhou, Jun Zhou, Arun Thirunavukarasu, Yuhe Ke, Jie Yao, Kanae Fukutsu, Chrystie Wan Ning Quek, Ashley Hong, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Hiok Hong Chan, Victor Koh, Marcus Tan, Kelvin Z. Li, Leonard Yip, Ching Yu Cheng, Yih Chung Tham, Gavin Siew Wei Tan, Leopold Schmetterer, Marcus Ang, Rahat Hussain, Jod Mehta, Tin Aung, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Soon Thye Lim, Eyal Klang, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025	J	`jnl`	Generative Image Reconstruction From Gradients. IEEE Trans. Neural Networks Learn. Syst. Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh
2025	Misc	`conf`	HCLTS: Mining Customers' Consumption Patterns in Natural Gas Time Series with Hierarchical Contrastive Learning. ICASSP Yuhang Niu, Jiaqi Ye, Shubao Zhao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2025	J	`jnl`	Heterogeneous Federated Learning Framework for IIoT Based on Selective Knowledge Distillation. IEEE Trans. Ind. Informatics Sheng Guo, Hui Chen, Yang Liu, Chengyi Yang, Zengxiang Li, Cheng Hao Jin
2025	A*	`conf`	Multi-Session Budget Optimization for Forward Auction-based Federated Learning. ICML Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li
2025	J	`jnl`	Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM). CoRR Yang Zhou, Chrystie Wan Ning Quek, Jun Zhou, Yan Wang, Yang Bai, Yuhe Ke, Jie Yao, Laura Gutierrez, Zhen Ling Teo, Darren Shu Jeng Ting, Brian T. Soetikno, Christopher S. Nielsen, Tobias Elze, Zengxiang Li, Linh Le Dinh, Lionel Tim-Ee Cheng, Tran Nguyen Tuan Anh, Chee Leong Cheng, Tien Yin Wong, Nan Liu, Iain Bee Huat Tan, Tony Kiat Hon Lim, Rick Siow Mong Goh, Yong Liu, Daniel Shu Wei Ting
2025	J	`jnl`	Prompt Compression based on Key-Information Density. Expert Syst. Appl. Yuhao Lin, Wenya Guo, Ying Zhang, Chengyi Yang, Zengxiang Li
2025	J	`jnl`	Self-Supervised Learning for Multimodal Fault Diagnosis With Shapley-Value Weighted Transformers. IEEE Trans. Instrum. Meas. Yajiao Dai, Jun Li, Zhen Mei, Yiyang Ni, Sheng Guo, Zengxiang Li
2025	J	`jnl`	Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis. CoRR Yajiao Dai, Jun Li, Zhen Mei, Yiyang Ni, Shi Jin, Zengxiang Li, Sheng Guo, Wei Xiang
2025	J	`jnl`	Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis. IEEE Internet Things J. Yajiao Dai, Jun Li, Zhen Mei, Yiyang Ni, Shi Jin, Zengxiang Li, Sheng Guo, Wei Xiang
2025	Misc	`conf`	Tribe Graph Enhanced Bidirectional Mamba for Multivariate Time Series Forecasting. ICASSP Yingqi Zhao, Haiwei Zhang, Jiaqi Ye, Shubao Zhao, Chengyi Yang, Zengxiang Li
2025	Misc	`conf`	Zero-shot Document Retrieval with Hybrid Pseudo-document Retriever. ICASSP Dong Sun, Wenya Guo, Xumeng Liu, Ying Zhang, Zhaoxiang Hou, Zengxiang Li
2024	A*	`conf`	A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. IJCAI Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li
2024	J	`jnl`	Advances and Open Challenges in Federated Learning with Foundation Models. CoRR Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang
2024	J	`jnl`	Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT. CoRR Jixuan Cui, Jun Li, Zhen Mei, Yiyang Ni, Wen Chen, Zengxiang Li
2024	J	`jnl`	Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. IEEE Trans. Big Data Chi Zhang, Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li
2024	J	`jnl`	Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou
2024	J	`jnl`	Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples. IEEE Trans. Instrum. Meas. Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen
2024	—	`conf`	Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. WWW (Companion Volume) Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu
2024	A*	`conf`	HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. AAAI Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu
2024	J	`jnl`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	A	`conf`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. CIKM Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	J	`jnl`	Rethinking self-supervised learning for time series forecasting: A temporal perspective. Knowl. Based Syst. Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan
2024	J	`jnl`	Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations. CoRR Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin
2024	J	`jnl`	STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting. CoRR Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li
2024	—	`conf`	STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting. DASFAA (1) Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li
2024	A	`conf`	The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. ICME Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu, Xiaoxiao Li
2024	J	`jnl`	Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. CoRR Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2024	J	`jnl`	WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection. IEEE Trans. Big Data Chengyi Yang, Jia Liu, Hao Sun, Tongzhi Li, Zengxiang Li
2023	J	`jnl`	CFSL: A Credible Federated Self-Learning Framework. IEEE Internet Things J. Weishan Zhang, Zhicheng Bao, Yuru Liu, Liang Xu, Qinghua Lu, Huansheng Ning, Xiao Wang, Su Yang, Fei-Yue Wang, Zengxiang Li
2023	J	`jnl`	Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". IEEE Internet Things J. Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu
2023	A*	`conf`	Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. AAAI Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
2023	J	`jnl`	Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. CoRR Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu
2023	J	`jnl`	Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. CoRR Zengxiang Li, Zhaoxiang Hou, Hui Liu, Ying Wang, Tongzhi Li, Longfei Xie, Chao Shi, Chengyi Yang, Weishan Zhang, Zelei Liu, Liang Xu
2023	J	`jnl`	Hierarchical Federated Learning Incentivization for Gas Usage Estimation. CoRR Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu
2023	J	`jnl`	R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications. IEEE Trans. Ind. Informatics Weishan Zhang, Fa Yu, Xiao Wang, Xingjie Zeng, Hongwei Zhao, Yonglin Tian, Fei-Yue Wang, Longfei Li, Zengxiang Li
2023	A	`conf`	SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values. ICME Chengyi Yang, Zhaoxiang Hou, Sheng Guo, Hui Chen, Zengxiang Li
2023	J	`jnl`	The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. CoRR Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu
2022	J	`jnl`	A Survey of Smart Contract Formal Specification and Verification. ACM Comput. Surv. Palina Tolmach, Yi Li, Shangwei Lin, Yang Liu, Zengxiang Li
2022	J	`jnl`	CE-Fed: Communication efficient multi-party computation enabled federated learning. Array Renuga Kanagavelu, Qingsong Wei, Zengxiang Li, Haibin Zhang, Juniarto Samsudin, Yechao Yang, Rick Siow Mong Goh, Shangguang Wang
2022	B	`conf`	CluFL: Cluster-driven Weighted FL Model Aggregation Strategy. ICPADS Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li
2022	J	`jnl`	LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data. CoRR Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo
2022	J	`jnl`	Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery. CoRR Sheng Guo, Zengxiang Li, Hui Liu, Shubao Zhao, Cheng Hao Jin
2022	J	`jnl`	Reinforcement learning-enabled genetic algorithm for school bus scheduling. J. Intell. Transp. Syst. Eda Koksal Ahmed, Zengxiang Li, Bharadwaj Veeravalli, Shen Ren
2022	—	`conf`	Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting. FL@IJCAI Shubao Zhao, Jia Liu, Guoliang Ma, Jie Yang, Di Liu, Zengxiang Li
2021	B	`conf`	Partially Encrypted Multi-Party Computation for Federated Learning. CCGRID Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang
2021	J	`jnl`	Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet Things J. Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu
2020	J	`jnl`	A Survey of Smart Contract Formal Specification and Verification. CoRR Palina Tolmach, Yi Li, Shang-Wei Lin, Yang Liu, Zengxiang Li
2020	A	`conf`	An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. ICDCS Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue
2020	J	`jnl`	Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. IEEE Trans. Comput. Soc. Syst. Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh
2020	J	`jnl`	FARM: A Fairness-Aware Recommendation Method for High Visibility and Low Visibility Mobile APPs. IEEE Access Qiliang Zhu, Qibo Sun, Zengxiang Li, Shangguang Wang
2020	J	`jnl`	Phase Transition in Taxi Dynamics and Impact of Ridesharing. Transp. Sci. Bo Yang, Shen Ren, Erika Fille T. Legara, Zengxiang Li, Edward Y. X. Ong, Louis Lin, Christopher P. Monterola
2020	B	`conf`	Practical Secure Two-Party EdDSA Signature Generation with Key Protection and Applications in Cryptocurrency. TrustCom Qi Feng, Debiao He, Min Luo, Zengxiang Li, Kim-Kwang Raymond Choo
2020	—	`conf`	Predicting Emission Costs for Urban Transportation in Smart Cities using Machine Learning Models. BDIOT Vikash Sathiamoorthy, Eda Koksal Ahmed, Bharadwaj Veeravalli, Zengxiang Li
2020	J	`jnl`	Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. CoRR Huafei Zhu, Zengxiang Li, Merivyn Cheah, Rick Siow Mong Goh
2020	J	`jnl`	Some new forms of permutation polynomials based on the AGW criterion. Finite Fields Their Appl. Zengxiang Li, Miao Wang, Jianhua Wu, Xishun Zhu
2020	B	`conf`	Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CCGRID Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang
2020	J	`jnl`	Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CoRR Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang
2019	J	`jnl`	An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. CoRR Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue
2019	B	`conf`	Efficient Multi-party Computation Algorithm Design for Real-World Applications. ICPADS Zengxiang Li, Chutima Kitcharoenpaisan, Phond Phunchongharn, Yechao Yang, Rick Siow Mong Goh, Yusen Li
2019	J	`jnl`	Efficient Parallel Simulation over Large-scale Social Contact Networks. ACM Trans. Model. Comput. Simul. Yulin Wu, Wentong Cai, Zengxiang Li, Wen Jun Tan, Xiangting Hou
2019	A	`conf`	Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. CIKM Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick
2018	—	`conf`	A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data. ISC2 Xi Lin, Xiaokui Xiao, Zengxiang Li
2018	B	`conf`	Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance. ICPADS Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh, Xueping Liang
2018	B	`conf`	Building an Ethereum-Based Decentralized Smart Home System. ICPADS Quanqing Xu, Zhaozheng He, Zengxiang Li, Mingzhong Xiao
2018	B	`conf`	Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs. ICPADS Zengxiang Li, Shen Ren, Sifei Lu, Jiachun Guo, Wentong Cai, Qin Zheng, Rick Siow Mong Goh
2018	B	`conf`	Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems. ICPADS Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li, Rick Siow Mong Goh
2018	B	`conf`	EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain. ICPADS Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn, Rick Siow Mong Goh
2018	—	`conf`	Traffic Speed Prediction with Convolutional Neural Network Adapted for Non-linear Spatio-temporal Dynamics. BigSpatial@SIGSPATIAL Shen Ren, Bo Yang, Liye Zhang, Zengxiang Li
2017	—	`conf`	Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution. SIGSIM-PADS Yulin Wu, Xiangting Hou, Wen Jun Tan, Zengxiang Li, Wentong Cai
2017	B	`conf`	Optimize the FP-Tree Based Graph Edge Weight Computation on Multi-core MapReduce Clusters. ICPADS Yuhong Feng, Meihong Guo, Kezhong Lu, Zhong Ming, Haoming Zhong, Wentong Cai, Zengxiang Li
2017	B	`conf`	Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. CCGrid Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy
2016	J	`jnl`	HubPPR: Effective Indexing for Approximate Personalized PageRank. Proc. VLDB Endow. Sibo Wang, Youze Tang, Xiaokui Xiao, Yin Yang, Zengxiang Li
2016	—	`conf`	Performance and Monetary Cost of Large-Scale Distributed Graph Processing on Amazon Cloud. ICCCRI Zengxiang Li, Thai Nguyen Hung, Sifei Lu, Rick Siow Mong Goh
2016	C	`conf`	RA2: Predicting Simulation Execution Time for Cloud-Based Design Space Explorations. DS-RT Ta Nguyen Binh Duong, Jinghui Zhong, Wentong Cai, Zengxiang Li, Suiping Zhou
2016	J	`jnl`	Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations. Simul. Model. Pract. Theory Zengxiang Li, Wentong Cai, Stephen John Turner, Zheng Qin, Rick Siow Mong Goh
2015	J	`jnl`	Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations. ACM Trans. Model. Comput. Simul. Zengxiang Li, Wentong Cai, Stephen John Turner, Xiaorong Li, Ta Nguyen Binh Duong, Rick Siow Mong Goh
2015	C	`conf`	Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications. DS-RT Zengxiang Li, Long Wang, Yu Zhang, Tram Truong Huu, En Sheng Lim, Purnima Murali Mohan, Shibin Cheng, Shu Qin Ren, Mohan Gurusamy, Zheng Qin, Rick Siow Mong Goh
2014	C	`conf`	A User Interface for Large-Scale Demographic Simulation. CloudCom Cristina Montañola-Sales, Josep Casanovas-Garcia, Bhakti S. S. Onggo, Zengxiang Li
2014	C	`conf`	Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems. CloudCom Zengxiang Li, Rubing Duan, Long Wang, Sifei Lu, Zheng Qin, Rick Siow Mong Goh
2014	—	`conf`	Hierarchical resource management for enhancing performance of large-scale simulations on data centers. SIGSIM-PADS Zengxiang Li, Xiaorong Li, Long Wang, Wentong Cai
2014	C	`conf`	OMTiR: Open Market for Trading Idle Cloud Resources. CloudCom Murat Karakus, Zengxiang Li, Wentong Cai, Ta Nguyen Binh Duong
2014	C	`conf`	Two-Level Storage QoS to Manage Performance for Multiple Tenants with Multiple Workloads. CloudCom Shu Qin Ren, Shibin Cheng, Yu Zhang, En Sheng Lim, Khai Leong Yong, Zengxiang Li
2014	J	`jnl`	Un-identical federate replication structure for improving performance of HLA-based simulations. Simul. Model. Pract. Theory Zengxiang Li, Wentong Cai, Stephen John Turner
2013	—	`conf`	Accelerating optimistic HLA-based simulations in virtual execution environments. SIGSIM-PADS Zengxiang Li, Xiaorong Li, Ta Nguyen Binh Duong, Wentong Cai, Stephen John Turner
2013	J	`jnl`	Compensatory dead-reckoning-based update scheduling for distributed virtual environments. Simul. Zengxiang Li, Xueyan Tang, Wentong Cai, Xiaorong Li
2012	—	`—`	Efficient and fault tolerant HLA-based simulation Zengxiang Li
2012	B	`conf`	Fair and Efficient Dead Reckoning-Based Update Dissemination for Distributed Virtual Environments. PADS Zengxiang Li, Xueyan Tang, Wentong Cai, Stephen John Turner
2012	J	`jnl`	Loss-aware DR-based update scheduling for improving consistency in DVEs. J. Simulation Zengxiang Li, Wentong Cai, Xueyan Tang, Suiping Zhou
2011	J	`jnl`	A dynamic sort-based DDM matching algorithm for HLA applications. ACM Trans. Model. Comput. Simul. Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2011	B	`conf`	Dead Reckoning-Based Update Scheduling against Message Loss for Improving Consistency in DVEs. PADS Zengxiang Li, Wentong Cai, Xueyan Tang, Suiping Zhou
2010	C	`conf`	A Three-Phases Byzantine Fault Tolerance Mechanism for HLA-Based Simulation. DS-RT Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan
2010	—	`conf`	A replication structure for efficient and fault-tolerant parallel and distributed simulations. SpringSim Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan
2010	B	`conf`	Federate Fault Tolerance in HLA-Based Simulation. PADS Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan
2009	J	`jnl`	A Hybrid HLA Time Management Algorithm Based on Both Conditional and Unconditional Information. Simul. Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2009	Misc	`conf`	Implementation of Data Distribution Management Services in a Service Oriented HLA RTI. WSC Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2009	C	`conf`	Multi-user Gaming on the Grid Using a Service Oriented HLA RTI. DS-RT Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2008	B	`conf`	A Hybrid HLA Time Management Algorithm Based on Both Conditional and Unconditional Information. PADS Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2008	Misc	`conf`	Improving performance by replicating simulations with alternative synchronization approaches. WSC Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan
2007	A	`conf`	A Service Oriented HLA RTI on the Grid. ICWS Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2007	B	`conf`	An Efficient Sort-Based DDM Matching Algorithm for HLA Applications with a Large Spatial Environment. PADS Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li
2007	C	`conf`	Federate Migration in a Service Oriented HLA RTI. DS-RT Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan