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2020 – today
- 2024
[j22]Hao Wang, Ruonan Liu
, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou:
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics 20(2): 1987-1996 (2024)- [j21]Yajiao Dai, Zhen Mei, Jun Li, Zengxiang Li, Kang Wei, Ming Ding, Sheng Guo, Wen Chen:
Clustering-Based Contrastive Learning for Fault Diagnosis With Few Labeled Samples. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c47]Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. AAAI 2024: 22824-22832 - [c46]Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li:
STMGF: An Effective Spatial-Temporal Multi-granularity Framework for Traffic Forecasting. DASFAA (1) 2024: 235-245 - [c45]Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu, Xiaoxiao Li:
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models. ICME 2024: 1-6 - [c44]Xiaoli Tang, Han Yu, Zengxiang Li, Xiaoxiao Li:
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning. IJCAI 2024: 4991-4999 - [c43]Zengxiang Li, Zhaoxiang Hou, Hui Liu, Tongzhi Li, Chengyi Yang, Ying Wang, Chao Shi, Longfei Xie, Weishan Zhang, Liang Xu, Zelei Liu:
Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management. WWW (Companion Volume) 2024: 1578-1585 - [i16]Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang:
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR abs/2401.05012 (2024) - [i15]Zhengyang Zhao, Haitao Yuan, Nan Jiang, Minxiao Chen, Ning Liu, Zengxiang Li:
STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting. CoRR abs/2404.05774 (2024) - [i14]Chao Ren, Han Yu, Hongyi Peng, Xiaoli Tang, Anran Li, Yulan Gao, Alysa Ziying Tan, Bo Zhao, Xiaoxiao Li, Zengxiang Li, Qiang Yang:
Advances and Open Challenges in Federated Learning with Foundation Models. CoRR abs/2404.15381 (2024) - [i13]Yumeng Shao, Jun Li, Long Shi, Kang Wei, Ming Ding, Qianmu Li, Zengxiang Li, Wen Chen, Shi Jin:
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations. CoRR abs/2405.06993 (2024) - [i12]Jixuan Cui, Jun Li, Zhen Mei, Yiyang Ni, Wen Chen, Zengxiang Li:
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT. CoRR abs/2409.15711 (2024) - [i11]Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan:
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting. CoRR abs/2409.15794 (2024) - 2023
- [j20]Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu:
Correction to "Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices". IEEE Internet Things J. 10(1): 973 (2023) - [j19]Weishan Zhang, Zhicheng Bao, Yuru Liu, Liang Xu, Qinghua Lu, Huansheng Ning, Xiao Wang, Su Yang, Fei-Yue Wang, Zengxiang Li:
CFSL: A Credible Federated Self-Learning Framework. IEEE Internet Things J. 10(24): 21349-21362 (2023) - [j18]Weishan Zhang, Fa Yu, Xiao Wang, Xingjie Zeng, Hongwei Zhao, Yonglin Tian, Fei-Yue Wang, Longfei Li, Zengxiang Li:
R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications. IEEE Trans. Ind. Informatics 19(8): 8829-8840 (2023) - [c42]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. AAAI 2023: 15485-15493 - [c41]Chengyi Yang, Zhaoxiang Hou, Sheng Guo, Hui Chen, Zengxiang Li:
SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values. ICME 2023: 672-677 - [i10]Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu:
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. CoRR abs/2302.11485 (2023) - [i9]Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
Hierarchical Federated Learning Incentivization for Gas Usage Estimation. CoRR abs/2307.00233 (2023) - [i8]Yulan Gao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Han Yu:
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers. CoRR abs/2308.03945 (2023) - [i7]Zengxiang Li, Zhaoxiang Hou, Hui Liu, Ying Wang, Tongzhi Li, Longfei Xie, Chao Shi, Chengyi Yang, Weishan Zhang, Zelei Liu, Liang Xu:
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models. CoRR abs/2308.11217 (2023) - 2022
- [j17]Renuga Kanagavelu, Qingsong Wei, Zengxiang Li, Haibin Zhang, Juniarto Samsudin, Yechao Yang, Rick Siow Mong Goh, Shangguang Wang:
CE-Fed: Communication efficient multi-party computation enabled federated learning. Array 15: 100207 (2022) - [j16]Palina Tolmach, Yi Li, Shangwei Lin, Yang Liu, Zengxiang Li:
A Survey of Smart Contract Formal Specification and Verification. ACM Comput. Surv. 54(7): 148:1-148:38 (2022) - [j15]Eda Koksal Ahmed, Zengxiang Li, Bharadwaj Veeravalli, Shen Ren:
Reinforcement learning-enabled genetic algorithm for school bus scheduling. J. Intell. Transp. Syst. 26(3): 269-283 (2022) - [c40]Hanchi Shen, Jun Li, Kang Wei, Pengcheng Xia, Sirui Tian, Ming Ding, Zengxiang Li:
CluFL: Cluster-driven Weighted FL Model Aggregation Strategy. ICPADS 2022: 883-890 - [c39]Shubao Zhao, Jia Liu, Guoliang Ma, Jie Yang, Di Liu, Zengxiang Li:
Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting. FL@IJCAI 2022: 130-143 - [i6]Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo:
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data. CoRR abs/2203.04305 (2022) - [i5]Sheng Guo, Zengxiang Li, Hui Liu, Shubao Zhao, Cheng Hao Jin:
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery. CoRR abs/2211.09406 (2022) - 2021
- [j14]Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato, Zengxiang Li, Lingjuan Lyu, Yingbo Liu:
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet Things J. 8(3): 1817-1829 (2021) - [c38]Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang:
Partially Encrypted Multi-Party Computation for Federated Learning. CCGRID 2021: 828-835 - 2020
- [j13]Qiliang Zhu, Qibo Sun, Zengxiang Li, Shangguang Wang:
FARM: A Fairness-Aware Recommendation Method for High Visibility and Low Visibility Mobile APPs. IEEE Access 8: 122747-122756 (2020) - [j12]Zengxiang Li, Miao Wang, Jianhua Wu, Xishun Zhu:
Some new forms of permutation polynomials based on the AGW criterion. Finite Fields Their Appl. 61 (2020) - [j11]Zhe Xiao, Zengxiang Li, Yechao Yang, Piao Chen, Ryan Wen Liu, Wei Jing, Yauheni Pyrloh, Ekanut Sotthiwat, Rick Siow Mong Goh:
Blockchain and IoT for Insurance: A Case Study and Cyberinfrastructure Solution on Fine-Grained Transportation Insurance. IEEE Trans. Comput. Soc. Syst. 7(6): 1409-1422 (2020) - [j10]Bo Yang, Shen Ren, Erika Fille T. Legara, Zengxiang Li, Edward Y. X. Ong, Louis Lin, Christopher P. Monterola:
Phase Transition in Taxi Dynamics and Impact of Ridesharing. Transp. Sci. 54(1): 250-273 (2020) - [c37]Vikash Sathiamoorthy, Eda Koksal Ahmed, Bharadwaj Veeravalli, Zengxiang Li:
Predicting Emission Costs for Urban Transportation in Smart Cities using Machine Learning Models. BDIOT 2020: 74-78 - [c36]Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang:
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CCGRID 2020: 410-419 - [c35]Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue:
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. ICDCS 2020: 179-189 - [c34]Qi Feng, Debiao He, Min Luo, Zengxiang Li, Kim-Kwang Raymond Choo:
Practical Secure Two-Party EdDSA Signature Generation with Key Protection and Applications in Cryptocurrency. TrustCom 2020: 137-147 - [i4]Huafei Zhu, Zengxiang Li, Merivyn Cheah, Rick Siow Mong Goh:
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework. CoRR abs/2003.07630 (2020) - [i3]Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, Shangguang Wang:
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning. CoRR abs/2005.11901 (2020) - [i2]Palina Tolmach, Yi Li, Shang-Wei Lin, Yang Liu, Zengxiang Li:
A Survey of Smart Contract Formal Specification and Verification. CoRR abs/2008.02712 (2020)
2010 – 2019
- 2019
- [j9]Yulin Wu, Wentong Cai, Zengxiang Li, Wen Jun Tan, Xiangting Hou:
Efficient Parallel Simulation over Large-scale Social Contact Networks. ACM Trans. Model. Comput. Simul. 29(2): 10:1-10:25 (2019) - [c33]Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick:
Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. CIKM 2019: 1973-1982 - [c32]Zengxiang Li, Chutima Kitcharoenpaisan, Phond Phunchongharn, Yechao Yang, Rick Siow Mong Goh, Yusen Li:
Efficient Multi-party Computation Algorithm Design for Real-World Applications. ICPADS 2019: 1006-1009 - [i1]Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue:
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound. CoRR abs/1909.06587 (2019) - 2018
- [c31]Shen Ren, Bo Yang, Liye Zhang, Zengxiang Li:
Traffic Speed Prediction with Convolutional Neural Network Adapted for Non-linear Spatio-temporal Dynamics. BigSpatial@SIGSPATIAL 2018: 32-41 - [c30]Zengxiang Li, Shen Ren, Sifei Lu, Jiachun Guo, Wentong Cai, Qin Zheng, Rick Siow Mong Goh:
Concurrent Hybrid Breadth-First-Search on Distributed PowerGraph for Skewed Graphs. ICPADS 2018: 160-169 - [c29]Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li, Rick Siow Mong Goh:
Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems. ICPADS 2018: 763-770 - [c28]Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn, Rick Siow Mong Goh:
EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain. ICPADS 2018: 998-1003 - [c27]Quanqing Xu, Zhaozheng He, Zengxiang Li, Mingzhong Xiao:
Building an Ethereum-Based Decentralized Smart Home System. ICPADS 2018: 1004-1009 - [c26]Zengxiang Li, Zhe Xiao, Quanqing Xu, Ekanut Sotthiwat, Rick Siow Mong Goh, Xueping Liang:
Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance. ICPADS 2018: 1022-1027 - [c25]Xi Lin, Xiaokui Xiao, Zengxiang Li:
A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data. ISC2 2018: 1-8 - 2017
- [c24]Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy:
Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. CCGrid 2017: 74-83 - [c23]Yuhong Feng, Meihong Guo, Kezhong Lu, Zhong Ming, Haoming Zhong, Wentong Cai, Zengxiang Li:
Optimize the FP-Tree Based Graph Edge Weight Computation on Multi-core MapReduce Clusters. ICPADS 2017: 400-409 - [c22]Yulin Wu, Xiangting Hou, Wen Jun Tan, Zengxiang Li, Wentong Cai:
Efficient Parallel Simulation over Social Contact Network with Skewed Degree Distribution. SIGSIM-PADS 2017: 65-75 - 2016
- [j8]Sibo Wang, Youze Tang, Xiaokui Xiao, Yin Yang, Zengxiang Li:
HubPPR: Effective Indexing for Approximate Personalized PageRank. Proc. VLDB Endow. 10(3): 205-216 (2016) - [j7]Zengxiang Li, Wentong Cai, Stephen John Turner, Zheng Qin, Rick Siow Mong Goh:
Transparent three-phase Byzantine fault tolerance for parallel and distributed simulations. Simul. Model. Pract. Theory 60: 90-107 (2016) - [c21]Ta Nguyen Binh Duong, Jinghui Zhong, Wentong Cai, Zengxiang Li, Suiping Zhou:
RA2: Predicting Simulation Execution Time for Cloud-Based Design Space Explorations. DS-RT 2016: 120-127 - [c20]Zengxiang Li, Thai Nguyen Hung, Sifei Lu, Rick Siow Mong Goh:
Performance and Monetary Cost of Large-Scale Distributed Graph Processing on Amazon Cloud. ICCCRI 2016: 9-16 - 2015
- [j6]Zengxiang Li, Wentong Cai, Stephen John Turner, Xiaorong Li, Ta Nguyen Binh Duong, Rick Siow Mong Goh:
Adaptive Resource Provisioning Mechanism in VEEs for Improving Performance of HLA-Based Simulations. ACM Trans. Model. Comput. Simul. 26(1): 1:1-1:25 (2015) - [c19]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:
Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications. DS-RT 2015: 171-178 - 2014
- [j5]Zengxiang Li, Wentong Cai, Stephen John Turner:
Un-identical federate replication structure for improving performance of HLA-based simulations. Simul. Model. Pract. Theory 48: 112-128 (2014) - [c18]Shu Qin Ren, Shibin Cheng, Yu Zhang, En Sheng Lim, Khai Leong Yong, Zengxiang Li:
Two-Level Storage QoS to Manage Performance for Multiple Tenants with Multiple Workloads. CloudCom 2014: 107-113 - [c17]Zengxiang Li, Rubing Duan, Long Wang, Sifei Lu, Zheng Qin, Rick Siow Mong Goh:
Hierarchical Parallelization and Runtime Scheduling for Pregel-Like Graph Processing Systems. CloudCom 2014: 491-498 - [c16]Murat Karakus, Zengxiang Li, Wentong Cai, Ta Nguyen Binh Duong:
OMTiR: Open Market for Trading Idle Cloud Resources. CloudCom 2014: 719-722 - [c15]Cristina Montañola-Sales, Josep Casanovas-Garcia, Bhakti S. S. Onggo, Zengxiang Li:
A User Interface for Large-Scale Demographic Simulation. CloudCom 2014: 723-726 - [c14]Zengxiang Li, Xiaorong Li, Long Wang, Wentong Cai:
Hierarchical resource management for enhancing performance of large-scale simulations on data centers. SIGSIM-PADS 2014: 187-196 - 2013
- [j4]Zengxiang Li, Xueyan Tang, Wentong Cai, Xiaorong Li:
Compensatory dead-reckoning-based update scheduling for distributed virtual environments. Simul. 89(10): 1272-1287 (2013) - [c13]Zengxiang Li, Xiaorong Li, Ta Nguyen Binh Duong, Wentong Cai, Stephen John Turner:
Accelerating optimistic HLA-based simulations in virtual execution environments. SIGSIM-PADS 2013: 211-220 - 2012
- [b1]Zengxiang Li:
Efficient and fault tolerant HLA-based simulation. Nanyang Technological University, Singapore, 2012 - [j3]Zengxiang Li, Wentong Cai, Xueyan Tang, Suiping Zhou:
Loss-aware DR-based update scheduling for improving consistency in DVEs. J. Simulation 6(3): 164-178 (2012) - [c12]Zengxiang Li, Xueyan Tang, Wentong Cai, Stephen John Turner:
Fair and Efficient Dead Reckoning-Based Update Dissemination for Distributed Virtual Environments. PADS 2012: 13-22 - 2011
- [j2]Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li:
A dynamic sort-based DDM matching algorithm for HLA applications. ACM Trans. Model. Comput. Simul. 21(3): 17:1-17:17 (2011) - [c11]Zengxiang Li, Wentong Cai, Xueyan Tang, Suiping Zhou:
Dead Reckoning-Based Update Scheduling against Message Loss for Improving Consistency in DVEs. PADS 2011: 1-9 - 2010
- [c10]Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan:
A Three-Phases Byzantine Fault Tolerance Mechanism for HLA-Based Simulation. DS-RT 2010: 149-158 - [c9]Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan:
Federate Fault Tolerance in HLA-Based Simulation. PADS 2010: 3-12 - [c8]Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan:
A replication structure for efficient and fault-tolerant parallel and distributed simulations. SpringSim 2010: 151
2000 – 2009
- 2009
- [j1]Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li:
A Hybrid HLA Time Management Algorithm Based on Both Conditional and Unconditional Information. Simul. 85(9): 559-573 (2009) - [c7]Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li:
Multi-user Gaming on the Grid Using a Service Oriented HLA RTI. DS-RT 2009: 48-56 - [c6]Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li:
Implementation of Data Distribution Management Services in a Service Oriented HLA RTI. WSC 2009: 1027-1038 - 2008
- [c5]Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li:
A Hybrid HLA Time Management Algorithm Based on Both Conditional and Unconditional Information. PADS 2008: 203-211 - [c4]Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan:
Improving performance by replicating simulations with alternative synchronization approaches. WSC 2008: 1112-1120 - 2007
- [c3]Zengxiang Li, Wentong Cai, Stephen John Turner, Ke Pan:
Federate Migration in a Service Oriented HLA RTI. DS-RT 2007: 113-121 - [c2]Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li:
A Service Oriented HLA RTI on the Grid. ICWS 2007: 984-992 - [c1]Ke Pan, Stephen John Turner, Wentong Cai, Zengxiang Li:
An Efficient Sort-Based DDM Matching Algorithm for HLA Applications with a Large Spatial Environment. PADS 2007: 70-82
Coauthor Index
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