A Scalable Mechanism for Semantic Service Discovery in Multi-ontology Environment. - Zhizhong Liu; Huaimin Wang; Bin Zhou 004 (GPC, 2007)

HOM: An Approach to Calculating Semantic Similarity Utilizing Relations between Ontologies. - Zhizhong Liu; Huaimin Wang; Bin Zhou 004 (AIRS, 2008)

Large Scale Computing on Component Based Framework Easily Adaptive to Cluster and Grid Environments. - Ling Shang; Zhijian Wang; Serge G. Petiton; Yuansheng Lou; Zhizhong Liu (ChinaGrid, 2008)

Research on Fault-tolerant Mechanism of Integrating Water-Domain Oriented Computing Resources. - Ling Shang; Zhijian Wang; Xiaohong Zhang; Junjie Wang; Zhizhong Liu (ACIS-ICIS, 2009)

Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline. - Ivo D. Dinov; John D. Van Horn; Kamen Lozev; Rico Magsipoc; Petros Petrosyan; Zhizhong Liu; Allan MacKenzie-Graham; Paul R. Eggert; Douglas Stott Parker; Arthur W. Toga (Frontiers Neuroinformatics, 2009)

Visual mining of neuro-metaspaces. - Shantanu H. Joshi; Ian Bowman; Robin Jennings; David Hasson; Zhizhong Liu; Arthur W. Toga; John D. Van Horn (SIGGRAPH Posters, 2010)

Applications of the Pipeline Environment for Visual Informatics and Genomics Computations. - Ivo D. Dinov; Federica Torri; Fabio Macciardi; Petros Petrosyan; Zhizhong Liu; Alen Zamanyan; Paul R. Eggert; Jonathan Pierce; Alex Genco; James A. Knowles; Andrew P. Clark; John D. Van Horn; et al. (BMC Bioinform., 2011)

Semantic Service Discovery Based on QoS Ontology. - Yu Chen; Yang Yu; Zhizhong Liu; Junyi Shen (J. Next Gener. Inf. Technol., 2011)

The impact of service system on the implementation of cluster supply chain. - Xue Xiao 001; Zhe Wei; Zhi-Zhong Liu (Serv. Oriented Comput. Appl., 2012)

An Approach for Web Service QoS Dynamic Prediction. - Hai Yan; Zhi-Zhong Liu (J. Softw., 2013)

An Intelligent Admission Control Framework for Composite Services. - Zhizhong Liu; Yan Hai (ICWS, 2014)

S-ABC - A Service-Oriented Artificial Bee Colony Algorithm for Global Optimal Services Selection in Concurrent Requests Environment. - Zhizhong Liu; Xiaofei Xu (ICWS, 2014)

Context-aware intelligent service system for coal mine industry. - Xue Xiao 001; Jingkun Chang; Zhi-Zhong Liu (Comput. Ind., 2014)

High-throughput neuroimaging-genetics computational infrastructure. - Ivo D. Dinov; Petros Petrosyan; Zhizhong Liu; Paul R. Eggert; Sam Hobel; Seok Woo Moon; John D. Van Horn; Joe Franco; Arthur W. Toga (Frontiers Neuroinformatics, 2014)

Analyzing the Influence of Domain Features on the Optimality of Service Composition Algorithm. - Haifang Wang; Xiaofei Xu; Zhongjie Wang 003; Zhizhong Liu (SCC, 2015)

The Configurability Study on Artificial Bee Colony Algorithm for QoS-aware Service Composition. - Haifang Wang; Xiaofei Xu; Zhizhong Liu; Zhongjie Wang 003 (ICSS, 2015)

Reliable Web service composition based on QoS dynamic prediction. - Zhi-Zhong Liu; Zong-pu Jia; Xue Xiao 001; Ji Yu An (Soft Comput., 2015)

Differential evolution with a two-stage optimization mechanism for numerical optimization. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Zixing Cai (CEC, 2016)

Utilizing cumulative population distribution information in differential evolution. - Yong Wang 002; Zhi-Zhong Liu; Jianbin Li; Han-Xiong Li; Gary G. Yen (Appl. Soft Comput., 2016)

Manufacturing service composition for the mass customised production. - Xue Xiao 001; Zhi-Zhong Liu; Shufang Wang (Int. J. Comput. Integr. Manuf., 2016)

Design and analysis of the artificial bee colony algorithms for domain-oriented QoS-aware service composition. - Haifang Wang; Xiaofei Xu; Zhongjie Wang 003; Zhizhong Liu (Int. J. Serv. Technol. Manag., 2016)

Social learning optimization (SLO) algorithm paradigm and its application in QoS-aware cloud service composition. - Zhi-Zhong Liu; Dian-Hui Chu; Cheng Song; Xue Xiao 001; Bao-Yun Lu (Inf. Sci., 2016)

Two-stage approach for reliable dynamic Web service composition. - Zhi-Zhong Liu; Dian-Hui Chu; Zong-pu Jia; Ji-Quan Shen; Lei Wang 051 (Knowl. Based Syst., 2016)

An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Ke Tang 001 (CoRR, 2017)

A Many-Objective Evolutionary Algorithm with Angle-Based Selection and Shift-Based Density Estimation. - Zhi-Zhong Liu; Yong Wang 002; Pei-Qiu Huang (CoRR, 2017)

S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition. - Xiaofei Xu; Zhizhong Liu; Zhongjie Wang 003; Quan Z. Sheng; Jian Yu 002; Xianzhi Wang 001 (Future Gener. Comput. Syst., 2017)

An Approach for Multipath Cloud Manufacturing Services Dynamic Composition. - Zhi-Zhong Liu; Cheng Song; Dian-Hui Chu; Zhanwei Hou; Wei-Ping Peng (Int. J. Intell. Syst., 2017)

Effective Task Scheduling in Cloud Computing Based on Improved Social Learning Optimization Algorithm. - Zhi-Zhong Liu; Jingxuan Qin; Wei-Ping Peng; Hao Chao (Int. J. Online Eng., 2017)

非均匀分簇路由协议改进算法 (Improved Algorithm for Uneven Clustering Routing). - Lei Wang 051; Wanwan Xie; Zhizhong Liu; Junyan Qi (计算机科学, 2017)

ECoFFeS: A Software Using Evolutionary Computation for Feature Selection in Drug Discovery. - Zhi-Zhong Liu; Jia-Wei Huang; Yong Wang 002; Dong-Sheng Cao 001 (IEEE Access, 2018)

An Approach to Resource and QoS-Aware Services Optimal Composition in the Big Service and Internet of Things. - Xunyou Min; Xiaofei Xu; Zhizhong Liu; Dian-Hui Chu; Zhongjie Wang 003 (IEEE Access, 2018)

Accurate and Efficient Similarity Search for Large Scale Face Recognition. - Ce Qi; Zhizhong Liu; Fei Su (CoRR, 2018)

On the selection of solutions for mutation in differential evolution. - Yong Wang 002; Zhi-Zhong Liu; Jianbin Li; Han-Xiong Li; Jiahai Wang (Frontiers Comput. Sci., 2018)

Efficient pattern matching with periodical wildcards in uncertain sequences. - Huiting Liu 001; Lili Wang; Zhizhong Liu; Peng Zhao 010; Xindong Wu 001 (Intell. Data Anal., 2018)

An Improved Location Privacy Protection Scheme. - Cheng Song; Yadong Zhang; Lei Wang 051; Zhizhong Liu (J. Inf. Hiding Multim. Signal Process., 2018)

Computational Experiment Research on the Equalization-Oriented Service Strategy in Collaborative Manufacturing. - Xiao Xue 001; Yan-Min Kou; Shufang Wang; Zhi-Zhong Liu (IEEE Trans. Serv. Comput., 2018)

Context-Aware Multi-QoS Prediction for Services in Mobile Edge Computing. - Zhizhong Liu; Quan Z. Sheng; Wei Emma Zhang; Dianhui Chu; Xiaofei Xu (SCC, 2019)

An enhanced energy optimization routing protocol using double cluster heads for wireless sensor network. - Lei Wang 051; Junyan Qi; Wanwan Xie; Zhizhong Liu; Zong-pu Jia (Clust. Comput., 2019)

Deferred virtual machine migration. - Xiaohong Zhang; Jianji Ren; Zhizhong Liu; Zong-pu Jia (Int. J. High Perform. Comput. Netw., 2019)

Research on Identity-based Batch Anonymous Authentication Scheme for VANET. - Cheng Song; Xinan Gu; Lei Wang 051; Zhizhong Liu; Yuan Ping (KSII Trans. Internet Inf. Syst., 2019)

A Trajectory Substitution Privacy Protection Scheme in location-based services. - Cheng Song; Yadong Zhang; Xinan Gu; Lei Wang 051; Zhizhong Liu (KSII Trans. Internet Inf. Syst., 2019)

A Trajectory Privacy Protection Scheme based on DTW Switch Query in Location-based Services. - Cheng Song; Yadong Zhang; Xixi Yan; Zhizhong Liu (J. Inf. Hiding Multim. Signal Process., 2019)

An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Shengxiang Yang; Ke Tang 001 (IEEE Trans. Cybern., 2019)

Handling Constrained Multiobjective Optimization Problems With Constraints in Both the Decision and Objective Spaces. - Zhi-Zhong Liu; Yong Wang 002 (IEEE Trans. Evol. Comput., 2019)

Capacity Reliability Calculation and Sensitivity Analysis for a Stochastic Transport Network. - Yi-Feng Niu; Xiu-Zhen Xu; Can He; Dong Ding; Zhi-Zhong Liu (IEEE Access, 2020)

AnD: A many-objective evolutionary algorithm with angle-based selection and shift-based density estimation. - Zhi-Zhong Liu; Yong Wang 002; Pei-Qiu Huang (Inf. Sci., 2020)

A Bilevel Optimization Approach for Joint Offloading Decision and Resource Allocation in Cooperative Mobile Edge Computing. - Pei-Qiu Huang; Yong Wang 002; Kezhi Wang; Zhi-Zhong Liu (IEEE Trans. Cybern., 2020)

PAPR Reduction in OFDM System Using a New Quantum Genetic Algorithm. - Jianyou Yu; Jingmin Liu; Yinhuai Ma; Zhizhong Liu (EITCE, 2021)

Indicator-Based Constrained Multiobjective Evolutionary Algorithms. - Zhi-Zhong Liu; Yong Wang 002; Bing-Chuan Wang (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study. - Yan-Bo He; Bing-Chuan Wang; Zhi-Zhong Liu (BIC-TA, 2022)

Solving constrained optimization problems via multifactorial evolution. - Bing-Chuan Wang; Zhi-Zhong Liu; Wu Song (Appl. Soft Comput., 2022)

A Diffraction Service Composition Approach Based on S-ABCPC: An Improved ABC Algorithm. - Xunyou Min; Xiaofei Xu; Zhongjie Wang 003; Zhizhong Liu (Int. J. Inf. Syst. Model. Des., 2022)

An unsupervised semantic text similarity measurement model in resource-limited scenes. - Qi Xiao; Yunchuan Qin; Kenli Li 001; Zhuo Tang; Fan Wu 016; Zhizhong Liu (Inf. Sci., 2022)

Towards efficient and robust intelligent mobile vision system via small object aware parallel offloading. - Xiaoxue Li; Yunchuan Qin; Zhizhong Liu; Albert Y. Zomaya; Xiangke Liao (J. Syst. Archit., 2022)

Handling Constrained Multiobjective Optimization Problems via Bidirectional Coevolution. - Zhi-Zhong Liu; Bing-Chuan Wang; Ke Tang 001 (IEEE Trans. Cybern., 2022)

Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services. - Zhizhong Liu; Quan Z. Sheng; Xiaofei Xu; Dianhui Chu; Wei Emma Zhang (IEEE Trans. Serv. Comput., 2022)

Proactive Perception of Preferences Evolution Based on Graph Neural Networks. - Lixin Pang; Zhizhong Liu; Lingqiang Meng; Linxia Li; Xiaoyu Song (ICSS, 2023)

Multimodal Intent Recognition Based on Contrastive Learning. - Yuxuan Wu; Zhizhong Liu; Zhaohui Su; Xiaoyu Song (ICSS, 2023)

PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition. - Zhizhong Liu; Guangyu Huang; Dianhui Chu; Yuhang Sun (ICWS, 2023)

ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization. - Bing-Chuan Wang; Yunchuan Qin; Xian-Bing Meng; Zhi-Zhong Liu (CoRR, 2023)

Multimodal Sentiment Analysis Using BiGRU and Attention-Based Hybrid Fusion Strategy. - Zhizhong Liu; Bin Zhou 004; Lingqiang Meng; Guangyu Huang (Intell. Autom. Soft Comput., 2023)

Accurate and Reliable Service Recommendation Based on Bilateral Perception in Multi-Access Edge Computing. - Zhizhong Liu; Quan Z. Sheng; Zhenxing Zhang; Xiaofei Xu; Dianhui Chu; Jian Yu 002; Shuang Wang 012 (IEEE Trans. Serv. Comput., 2023)

Towards dynamic reconfiguration of composite services via failure estimation of general and domain quality of services. - Zhizhong Liu; Hedan Zheng; Dianhui Chu; Quan Z. Sheng; Jian Yu 002; Xiaofei Xu (Future Gener. Comput. Syst., 2023)

Multiobjective-Based Constraint-Handling Technique for Evolutionary Constrained Multiobjective Optimization: A New Perspective. - Zhi-Zhong Liu; Yunchuan Qin; Wu Song; Jinyuan Zhang; Kenli Li 001 (IEEE Trans. Evol. Comput., 2023)

I-Adapt: Using IoU Adapter to Improve Pseudo Labels in Cross-Domain Object Detection. - Qifeng Zhang; Changjian Chen; Zhizhong Liu; Zhuo Tang (ECAI, 2024)

DeformingNet: Deforming Multiple Uniform 3D Priors for 3D Point Cloud Completion. - Jingjing Lu; Yunchuan Qin; Fan Wu 016; Zhizhong Liu; Kenli Li 001; Ruihui Li (ICME, 2024)

Dynamic multi-objective service composition based on improved social learning optimization algorithm. - Yan Hai; Xin Xu; Zhizhong Liu (Appl. Soft Comput., 2024)

Similar modality completion-based multimodal sentiment analysis under uncertain missing modalities. - Yuhang Sun; Zhizhong Liu; Quan Z. Sheng; Dianhui Chu; Jian Yu 002; Hongxiang Sun (Inf. Fusion, 2024)

HCEC: An efficient geo-distributed deep learning training strategy based on wait-free back-propagation. - Yingjie Song; Yongbao Ai; Xiong Xiao; Zhizhong Liu; Zhuo Tang; Kenli Li 001 (J. Syst. Archit., 2024)

Proactive Recommendation of Composite Services in Multi-Access Edge Computing. - Zhizhong Liu; Quan Z. Sheng; Dianhui Chu; Xiaofei Xu; Hedan Zheng; Kai Feng (IEEE Trans. Serv. Comput., 2024)

Modality translation-based multimodal sentiment analysis under uncertain missing modalities. - Zhizhong Liu; Bin Zhou 004; Dianhui Chu; Yuhang Sun; Lingqiang Meng (Inf. Fusion, 2024)

POI recommendation for occasional groups Based on hybrid graph neural networks. - Lingqiang Meng; Zhizhong Liu; Dianhui Chu; Quan Z. Sheng; Jian Yu 002; Xiaoyu Song (Expert Syst. Appl., 2024)

POI recommendation for random groups based on cooperative graph neural networks. - Zhizhong Liu; Lingqiang Meng; Quan Z. Sheng; Dianhui Chu; Jian Yu 002; Xiaoyu Song (Inf. Process. Manag., 2024)

ATM-R: An Adaptive Tradeoff Model With Reference Points for Constrained Multiobjective Evolutionary Optimization. - Bing-Chuan Wang; Yunchuan Qin; Xian-Bing Meng; Yong Wang 002; Zhi-Zhong Liu (IEEE Trans. Cybern., 2024)

AWDepth: Monocular Depth Estimation for Adverse Weather via Masked Encoding. - Meng Wang 040; Yunchuan Qin; Ruihui Li; Zhizhong Liu; Zhuo Tang; Kenli Li 001 (IEEE Trans. Ind. Informatics, 2024)

KAFQN: Kolmogorov-Arnold Fuzzy-guided Q-Network in Reinforcement Learning. - Bo Zhao; Zhizhong Liu; Zhuo Tang (ICASSP, 2025)

OASR-WFBP: An overlapping aware start-up sharing gradient merging strategy for efficient communication in distributed deep learning. - Yingjie Song; Zhuo Tang; Yaohua Wang; Xiong Xiao; Zhizhong Liu; Jing Xia; Kenli Li 001 (J. Parallel Distributed Comput., 2025)

Two novel cold-start multistage neural solvers for constrained nonlinear equations with extended time horizons. - Qiuyue Zuo; Haibing Fan; Lin Xiao 002; Zhizhong Liu (Neural Networks, 2025)

Constrained Multiobjective Optimization With Escape and Expansion Forces. - Zhi-Zhong Liu; Fan Wu 016; Juan Liu; Yunchuan Qin; Kenli Li 001 (IEEE Trans. Evol. Comput., 2025)

Improving graph collaborative filtering with network motifs. - Yuqi Zhang; Jian Yu 002; Zhizhong Liu; Guiling Wang 002; Minh Nguyen; Quan Z. Sheng; Nancy Wang (Neural Comput. Appl., 2025)

Distributed Nonconvex Cooperative Optimization for Mobile Robot Systems Under DoS Attacks. - Zhizhong Liu; Yu-Kai Fu; Yiyang Liu 001; Chao Deng 008 (IEEE Internet Things J., 2025)

Perception of premium services based on the evolution of hyper-service network in mobile edge computing. - Xiaojun Zhang; Zhizhong Liu; Dianhui Chu; Meiyue Zhao (J. Cloud Comput., 2025)