Formal description and development of graphical user interfaces. - Weishi Zhang (Utz, 1996)

Collaboration-Based Architecture of Flexible Software Configuration Management System. - Ying Ding; Weishi Zhang; Lei Xu 010 (GCC (2), 2003)

Component-Based Workflow Architecture of a Distributed Software Process Management System. - Yongyi Xie; Weishi Zhang (QSIC, 2003)

A KPN Based Cooperative Composition Model of Services. - Xiuguo Zhang; Weishi Zhang; Jinyu Shi (GCC, 2005)

A Lightweight Description Model to Support Experience Management. - Xiong Xie; Weishi Zhang; Lei Xu 010 (IAT, 2005)

The Current State of Software Component Adaptation. - Xiong Xie; Weishi Zhang (SKG, 2005)

A weighted ranking algorithm for facet-based component retrieval system. - Yong Yang; Weishi Zhang; Xiuguo Zhang; Jinyu Shi (ACST, 2006)

A Checking Mechanism of Software Component Adaptation. - Xiong Xie; Weishi Zhang (GCC, 2006)

CCML: A Novel Service Composition Language. - Xiuguo Zhang; Weishi Zhang (IAT Workshops, 2006)

A Description Model to Support Knowledge Management. - Xiong Xie; Weishi Zhang; Lei Xu 010 (IMSCCS (2), 2006)

Scheduling Jobs on Computational Grids Using Fuzzy Particle Swarm Algorithm. - Ajith Abraham; Hongbo Liu 001; Weishi Zhang; Tae-Gyu Chang (KES (2), 2006)

Describing and Verifying Web Service Using CCS. - Li Bao; Weishi Zhang; Xiuguo Zhang (PDCAT, 2006)

Modeling Service Interactions Using Kahn Process Network. - Weishi Zhang; Xiuguo Zhang (PDCAT, 2006)

A Cooperative Service Composition Language and Its Formal Semantics. - Xiuguo Zhang; Weishi Zhang (PDCAT, 2006)

A Framework of Software Component Adaptation. - Xiong Xie; Weishi Zhang (ICA3PP, 2007)

An efficient cache replacement algorithm for multimedia object caching. - Keqiu Li; Takashi Nanya; Hong Shen 001; Francis Y. L. Chin; Weishi Zhang (Comput. Syst. Sci. Eng., 2007)

Multimedia Object Placement for Transparent Data Replication. - Keqiu Li; Hong Shen 001; Francis Y. L. Chin; Weishi Zhang (IEEE Trans. Parallel Distributed Syst., 2007)

Describing and Verifying Web Service by CCS on a Case Study. - Li Bao; Weishi Zhang; Xiuguo Zhang (ICNSC, 2008)

An Exception Handling Framework for Service-Oriented Computing. - Qin Lu; Weishi Zhang; Bo Su (NPC Workshops, 2008)

Research on Design and Its Key Technologies of Web Service Platform in P2P Environment. - Jinyu Shi; Weishi Zhang; Jianping Jiang; Xiuguo Zhang (NPC Workshops, 2008)

SELC: a self-supervised model for sentiment classification. - Likun Qiu; Weishi Zhang; Changjian Hu; Kai Zhao 001 (CIKM, 2009)

SESS: A Self-Supervised and Syntax-Based Method for Sentiment Classification. - Weishi Zhang; Kai Zhao 001; Likun Qiu; Changjian Hu (PACLIC, 2009)

Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification. - Weishi Zhang; Guiguang Ding; Li Chen 009; Chunping Li (ICDM Workshops, 2010)

Research on Behavior Adaptation of Software Component. - Jinyu Shi; Xiong Xie; Weishi Zhang; Xiuguo Zhang; Zhiying Cao; Huawei Zhai (PAAP, 2010)

Specification and Verification of Safe Web Service Behavior Adaptation. - Xiong Xie; Weishi Zhang; Huawei Zhai; Licheng Cui; Jinyu Shi (PAAP, 2010)

A Formal Model for Abstracting the Interaction of Web Services. - Li Bao; Weishi Zhang; Xiong Xie (J. Comput., 2010)

Image recognition technology based on projection entropy. - Dejun Tang; Weishi Zhang; Chen Wang; Min Jiang (ICDIP, 2011)

Researches on the novel methodology of traffic flow prediction based on similarity. - Licheng Cui; Weishi Zhang; Runtong Zhang; Huawei Zhai; Xiuguo Zhang; Xiong Xie (SoCPaR, 2011)

Toward formal description to metro services mechanism based on bigraph models. - Huawei Zhai; Weishi Zhang; Licheng Cui; Jinyu Shi; Hui Li (SoCPaR, 2011)

High-confidence petroleum industrial critical systems research based on bigraphical models. - Huawei Zhai; Weishi Zhang; Licheng Cui; Xiong Xie; Xiuguo Zhang (SoCPaR, 2011)

A feature fusion method for feature extraction. - Dejun Tang; Weishi Zhang; Xiaolu Qu; Dujuan Wang (ICDIP, 2012)

A novel active contour model for image segmentation using distance regularization term. - Chun-yan Yu; Wei-shi Zhang; Ying-Ying Yu; Ying Li (Comput. Math. Appl., 2013)

Improved active shape model and its application to facial feature extraction. - Dejun Tang; Weishi Zhang; Xiaolu Qu; Dongqing Zhang (J. Electronic Imaging, 2013)

Generating virtual ratings from chinese reviews to augment online recommendations. - Weishi Zhang; Guiguang Ding; Li Chen 009; Chunping Li; Chengbo Zhang (ACM Trans. Intell. Syst. Technol., 2013)

Sparse ICA Based on Infinite Norm for fMRI Analysis. - Liang Chen; Shigang Feng; Weishi Zhang; Aboul Ella Hassanien; Hongbo Liu 001 (AMLTA, 2014)

A Novel Vulnerability Detection Method for ZigBee MAC Layer. - Hui Li; Weishi Zhang; Weifu Zhou; Bo Su (DASC, 2014)

Location-Based Two-Phase Clustering for Web Service QoS Prediction. - Yuan Yuan; Weishi Zhang; Xiuguo Zhang (IEEE WISA, 2016)

Hybrid Intrusion Detection Method Based on Improved Bisecting K-Means in Cloud Computing. - Xinlong Zhao; Weishi Zhang (IEEE WISA, 2016)

Combinatorial Structural Clustering (CSC): A Novel Structural Clustering Approach for Large Scale Networks. - Liang Chen; Hongbo Liu 001; Weishi Zhang; Bo Zhang 045 (ISDA, 2016)

A scalable automatic service discovery approach based on probabilistic topic model. - Yuan Yuan; Weishi Zhang; Xiuguo Zhang (Int. J. Web Grid Serv., 2016)

A Comprehensive Comparative Analysis of the Basic Theory of the Short Term Bus Passenger Flow Prediction. - Huawei Zhai; Licheng Cui; Yu Nie 002; Xiaowei Xu; Weishi Zhang (Symmetry, 2018)

Designing and Developing High-Confidence Petroleum Extraction Cyber-Physical System Using the Model-Driven Architecture. - Huawei Zhai; Licheng Cui; Weishi Zhang; Lijia Zhou; Xiuguo Zhang (ICPADS, 2019)

An Energy Imbalance Settlement Mechanism Considering Decision-Making Strategy of Retailers Under Renewable Portfolio Standard. - Jiaxuan Hou; Zhi Zhang; Zhenzhi Lin; Li Yang; Xinyi Liu; Yicheng Jiang; Chuan He; Jing Li; Kai Wang; Weishi Zhang; Yi Ding 001; Fushuan Wen (IEEE Access, 2019)

Retinex-Based Laplacian Pyramid Method for Image Defogging. - Jingchun Zhou; Dehuan Zhang; Peiyu Zou; Weidong Zhang 007; Weishi Zhang (IEEE Access, 2019)

Quantitative analysis of Matthew effect and sparsity problem of recommender systems. - Hao Wang; Zonghu Wang; Weishi Zhang (CoRR, 2019)

Dynamic Service Selection Based on Adaptive Global QoS Constraints Decomposition. - Yuan Yuan; Weishi Zhang; Xiuguo Zhang; Huawei Zhai (Symmetry, 2019)

Classical and state-of-the-art approaches for underwater image defogging: a comprehensive survey. - Jingchun Zhou; Dehuan Zhang; Wei-shi Zhang (Frontiers Inf. Technol. Electron. Eng., 2020)

Autonomous underwater robot for underwater image enhancement via multi-scale deformable convolution network with attention mechanism. - Yi Lin 006; Jingchun Zhou; Wenqi Ren; Weishi Zhang (Comput. Electron. Agric., 2021)

Adaptive histogram fusion-based colour restoration and enhancement for underwater images. - Jingchun Zhou; Dehuan Zhang; Weishi Zhang (Int. J. Secur. Networks, 2021)

Underwater image restoration based on secondary guided transmission map. - Jingchun Zhou; Zhenzhen Liu; Weidong Zhang 007; Dehuan Zhang; Weishi Zhang (Multim. Tools Appl., 2021)

A multifeature fusion method for the color distortion and low contrast of underwater images. - Jingchun Zhou; Dehuan Zhang; Weishi Zhang (Multim. Tools Appl., 2021)

Light Attenuation and Color Fluctuation for Underwater Image Restoration. - Jingchun Zhou; Dingshuo Liu; Dehuan Zhang; Weishi Zhang (ACCV (3), 2022)

BOD-tree: An One-Dimensional Balanced Indexing Algorithm. - Ruijie Tian; Weishi Zhang; Fei Wang 041 (AISS, 2022)

A Context-Aware Method for Indexing Large-Scale SpatioTemporal Data. - Ruijie Tian; Weishi Zhang; Fei Wang 041; Junting Xiong (IEEE Big Data, 2022)

Underwater image enhancement method via multi-feature prior fusion. - Jingchun Zhou; Dehuan Zhang; Weishi Zhang (Appl. Intell., 2022)

Underwater image enhancement method with light scattering characteristics. - Jingchun Zhou; Xiaojing Wei; Jinyu Shi; Weishen Chu; Weishi Zhang (Comput. Electr. Eng., 2022)

Underwater Image Restoration via Information Distribution and Light Scattering Prior. - Jingchun Zhou; Yanyun Wang 012; Weishi Zhang (Comput. Electr. Eng., 2022)

Underwater image restoration via backscatter pixel prior and color compensation. - Jingchun Zhou; Tongyu Yang; Weishen Chu; Weishi Zhang (Eng. Appl. Artif. Intell., 2022)

Auto Color Correction of Underwater Images Utilizing Depth Information. - Jingchun Zhou; Dehuan Zhang; Wenqi Ren; Weishi Zhang (IEEE Geosci. Remote. Sens. Lett., 2022)

Multi-scale retinex-based adaptive gray-scale transformation method for underwater image enhancement. - Jingchun Zhou; Jian Yao; Weishi Zhang; Dehuan Zhang (Multim. Tools Appl., 2022)

A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment. - Ruijie Tian; Huawei Zhai; Weishi Zhang; Fei Wang 041; Yao Guan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A Method for Solving Approximate Partition Boundaries of Spatial Big Data Based on Histogram Bucket Sampling. - Ruijie Tian; Tiansheng Chen; Huawei Zhai; Weishi Zhang; Fei Wang 041 (Symmetry, 2022)

Hopf Bifurcation of a Delayed SVEIS Worm Propagation Model with Nonlinear Incidence Rate. - Zizhen Zhang; Weishi Zhang; Anwar Zeb (ICCSA (Workshops 1), 2023)

The Investigation Focuses on the Development of a Forecasting Model for Electricity Demand, Utilizing a Fuzzy Time Series Approach. - Li Liu; Wei Zhang; Chao Ji; Yuxing Hao; Xueting Zhao; Weishi Zhang (ICITEE, 2023)

Underwater vision enhancement technologies: a comprehensive review, challenges, and recent trends. - Jingchun Zhou; Tongyu Yang; Weishi Zhang (Appl. Intell., 2023)

WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction. - Jingchun Zhou; Tianyu Liang; Zongxin He; Dehuan Zhang; Weishi Zhang; Xianping Fu; Chongyi Li (CoRR, 2023)

IA2U: A Transfer Plugin with Multi-Prior for In-Air Model to Underwater. - Jingchun Zhou; Qilin Gai; Weishi Zhang; Kin-Man Lam 001; Xianping Fu; Ting Li; Chongyi Li (CoRR, 2023)

DGNet: Dynamic Gradient-guided Network with Noise Suppression for Underwater Image Enhancement. - Jingchun Zhou; Zongxin He; Dehuan Zhang; Kin-Man Lam 001; Weishi Zhang; Xianping Fu; Yi Wang; Chongyi Li (CoRR, 2023)

Adaptive weighted multiscale retinex for underwater image enhancement. - Dayi Li; Jingchun Zhou; Shiyin Wang; Dehuan Zhang; Weishi Zhang; Raghad Alwadai; Fayadh Alenezi; Prayag Tiwari; Taian Shi (Eng. Appl. Artif. Intell., 2023)

Hierarchical attention aggregation with multi-resolution feature learning for GAN-based underwater image enhancement. - Dehuan Zhang; Chenyu Wu; Jingchun Zhou; Weishi Zhang; Chaolei Li; Zifan Lin (Eng. Appl. Artif. Intell., 2023)

UGIF-Net: An Efficient Fully Guided Information Flow Network for Underwater Image Enhancement. - Jingchun Zhou; Boshen Li; Dehuan Zhang; Jieyu Yuan; Weishi Zhang; Zhanchuan Cai; Jinyu Shi (IEEE Trans. Geosci. Remote. Sens., 2023)

Multi-view underwater image enhancement method via embedded fusion mechanism. - Jingchun Zhou; Jiaming Sun; Weishi Zhang; Zifan Lin (Eng. Appl. Artif. Intell., 2023)

Cross-view enhancement network for underwater images. - Jingchun Zhou; Dehuan Zhang; Weishi Zhang (Eng. Appl. Artif. Intell., 2023)

Underwater object detection by fusing features from different representations of sonar data. - Fei Wang 041; Wanyu Li; Miao Liu; Jingchun Zhou; Weishi Zhang (Frontiers Inf. Technol. Electron. Eng., 2023)

Tinba: Incremental partitioning for efficient trajectory analytics. - Ruijie Tian; Weishi Zhang; Fei Wang 041; Kemal Polat; Fayadh Alenezi (Adv. Eng. Informatics, 2023)

Cooperative control of multiple intersections combining agent and chaotic particle swarm optimization. - Hao Qin; Weishi Zhang; Huawei Zhai (Comput. Electr. Eng., 2023)

Cardinality estimation of activity trajectory similarity queries using deep learning. - Ruijie Tian; Weishi Zhang; Fei Wang 041; Jingchun Zhou; Adi Alhudhaif; Fayadh Alenezi (Inf. Sci., 2023)

ReX-Net: A reflectance-guided underwater image enhancement network for extreme scenarios. - Dehuan Zhang; Jingchun Zhou; Weishi Zhang; Zifan Lin; Jian Yao; Kemal Polat; Fayadh Alenezi; Adi Alhudhaif (Expert Syst. Appl., 2023)

Underwater image enhancement via variable contrast and saturation enhancement model. - Lei Pang; Jingchun Zhou; Weishi Zhang (Multim. Tools Appl., 2023)

Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement. - Dehuan Zhang; Jingchun Zhou; Chunle Guo; Weishi Zhang; Chongyi Li (AAAI, 2024)

AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection. - Jingchun Zhou; Zongxin He; Kin-Man Lam 001; Yudong Wang 002; Weishi Zhang; Chunle Guo; Chongyi Li (AAAI, 2024)

Collaborative Control Method of Transit Signal Priority Based on Cooperative Game and Reinforcement Learning. - Hao Qin; Weishi Zhang (CoRR, 2024)

TANet: Transmission and atmospheric light driven enhancement of underwater images. - Dehuan Zhang; Yakun Guo; Jingchun Zhou; Weishi Zhang; Zifan Lin; Kemal Polat; Fayadh Alenezi; Adi Alhudhaif (Expert Syst. Appl., 2024)

DRC: Chromatic aberration intensity priors for underwater image enhancement. - Qian Liu; Zongxin He; Dehuan Zhang; Weishi Zhang; Zifan Lin; Ferdous Sohel (J. Vis. Commun. Image Represent., 2024)

Improved YOLOv7 model for underwater sonar image object detection. - Ken Sinkou Qin; Di Liu; Fei Wang 001; Jingchun Zhou; Jiaxuan Yang; Weishi Zhang (J. Vis. Commun. Image Represent., 2024)

IACC: Cross-Illumination Awareness and Color Correction for Underwater Images Under Mixed Natural and Artificial Lighting. - Jingchun Zhou; Qilin Gai; Dehuan Zhang; Kin-Man Lam 001; Weishi Zhang; Xianping Fu (IEEE Trans. Geosci. Remote. Sens., 2024)

Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism. - Dehuan Zhang; Chenyu Wu; Jingchun Zhou; Weishi Zhang; Zifan Lin; Kemal Polat; Fayadh Alenezi (Neural Networks, 2024)

A distributed framework for large-scale semantic trajectory similarity join. - Ruijie Tian; Jiajun Li; Weishi Zhang; Fei-Yue Wang 001 (Multim. Tools Appl., 2024)

HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement. - Jingchun Zhou; Jiaming Sun; Chongyi Li; Qiuping Jiang; Man Zhou; Kin-Man Lam 001; Weishi Zhang; Xianping Fu (Int. J. Comput. Vis., 2024)

Correction: HCLR-Net: Hybrid Contrastive Learning Regularization with Locally Randomized Perturbation for Underwater Image Enhancement. - Jingchun Zhou; Jiaming Sun; Chongyi Li; Qiuping Jiang; Man Zhou; Kin-Man Lam 001; Weishi Zhang; Xianping Fu (Int. J. Comput. Vis., 2024)

Ocean Remote Sensing Image Quality Assessment via Multidirectional Perception Fusion and Deviation-Aware Processing. - Chunjiang Liu; Jingchun Zhou; Bing Long; Tianyuan Li; Dehuan Zhang; Weishi Zhang; Gemine Vivone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)