| 2026 | AAAI | Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating. | Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen |
| 2026 | AAAI | Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning. | Zhiwei Ye, Songsong Zhang, Wen Zhou, Libing Wu, Jun Shen, Ting Cai, Mingwei Wang, Jixin Zhang |
| 2026 | DASFAA | GBCG: Granular Ball and Counterfactual Guided Profile Injection Attack in Recommender Systems. | Yunmeng Zhao, Yuran He, Shenbao Yu, Ruihong Huang, Jiayin Li, Jun Shen, Jiayin Lin |
| 2026 | KDD | CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning. | Mingyuan Li, Chunyu Liu, Zhuojun Li, Xiao Liu, Guangsheng Yu, Bo Du, Jun Shen, Qiang Wu |
| 2026 | WWW | Semi-Supervised Fake News Detection with Mixture of Experts. | Zhenyu Yang, Chaoyu Yang, Wenfeng Xu, Xiuxiu Hao, Huan Wang, Ge Zhang, Xiaoxiao Ma, Jun Shen |
| 2025 | AAAI | Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. | Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthlemy, Jun Shen, Min Xu |
| 2025 | CSCWD | Microatoll-GAN: A Generative Adversarial Network for Microatoll Detection in Assisting Monitoring Marine Fishery. | Jiayin Lin, Zhexuan Zhou, Qianfu Qiu, Runxiong Liu, Jun Shen, Yuanyuan Zhang |
| 2025 | CSCWD | Intelligent Tutoring Systems for Leveraging Manufacturing Practical Skill Development. | Fang Wang, Hao Meng, Qian Zhao, Jun Shen |
| 2025 | CSCWD | Rethinking Privacy Protection for Recommender System in a Collaborative Way. | Yongpei Zhang, Shuang Li, Mingwei Lin, Jun Shen, Shenbao Yu, Jiayin Lin |
| 2025 | EMNLP | DICP: Deep In-Context Prompt for Event Causality Identification. | Lin Mu, Jun Shen, Li Ni, Lei Sang, Zhize Wu, Peiquan Jin, Yiwen Zhang |
| 2025 | ICCV | FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning. | Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen |
| 2025 | ICLR | Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks. | Lehan Wang, Haonan Wang, Honglong Yang, Jiaji Mao, Zehong Yang, Jun Shen, Xiaomeng Li |
| 2025 | ICPADS | FedPLC: Noise-Robust Federated Learning for Object Detection in Autonomous Driving. | Yufeng Li, Qiange Li, Jun Shen |
| 2025 | ICPADS | Mobility-Aware Partial Task Offloading Scheme for Vehicular Edge Computing. | Yufeng Li, Lisha Tao, Jun Shen |
| 2025 | ICPADS | FCAC: Content-Aware Adaptive Configuration with Scene-Target Fusion in Edge Video Analytics. | Yufeng Li, Rui Yao, Zhihan Cao, Jun Shen |
| 2025 | IJCNN | PJ-net: A Pipeline Emphasizing Centerline Priors and Junctions for Lane Graph Construction. | Huiyuan Xiong, Jun Shen, Taohong Zhu, Ke Song |
| 2025 | ICSOC | IoT and LLM Supported Digital Twin Platform: A Case Study on a Net Zero Oriented Building. | Jiaqi Li, Xingchen Hu, Jun Shen |
| 2025 | ICWS | FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration. | Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Shiping Chen, Jun Shen |
| 2025 | KDD | FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities. | Mingyuan Li, Jiahao Wang, Bo Du, Jun Shen, Qiang Wu |
| 2025 | KDD | FedSC: Federated Learning with Semantic-Aware Collaboration. | Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen |
| 2025 | VTC | Enhanced UAV GPS Geolocation Verification with Novel Identification Metrics. | Arupa Sarkar, Fendy Santoso, Jun Shen, Bo Du, Jun Yan |
| 2025 | SecureComm | A Few-Shot-Based Model-Agnostic Meta-learning for Intrusion Detection in Secure of In-Vehicle Network. | Yingjie Xu, Yufeng Li, Guiqi Zhang, Jun Shen |
| 2024 | ADMA | Optimizing Recreation in Yellow River Mouth Park Based on Reference-Dependent Analysis. | Qin Gao, Linke Qin, Hao Meng, Jun Shen, Xiaosong Wang, Songsong Cui, Zhenrui Li |
| 2024 | ADMA | An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. | Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian |
| 2024 | ADMA | Enhancing Wind Speed and Direction Prediction with a Mean Squared Error Neural Network. | Qian Zhao, Anbang Guo, Yong Wang, Hao Meng, Jun Shen |
| 2024 | CLOUD | SQLStateGuard: Statement-Level SQL Injection Defense Based on Learning-Driven Middleware. | Xin Liu, Yuanyuan Huang, Tianyi Wang, Song Li, Weina Niu, Jun Shen, Qingguo Zhou, Xiaokang Zhou |
| 2024 | CSCWD | Enhancing Privacy Protection for Online Learning Resource Recommendation with Machine Unlearning. | Wenqin Li, Xinrong Zheng, Ruihong Huang, Mingwei Lin, Jun Shen, Jiayin Lin |
| 2024 | DASFAA | CIKT: Causality Inspired Knowledge Tracing. | Shuaishuai Zu, Li Li, Songtao Cai, Jun Shen |
| 2024 | ICASSP | Drop Sparse Convolution for 3D Object Detection. | Taohong Zhu, Jun Shen, Chali Wang, Huiyuan Xiong |
| 2024 | ICASSP | GuessKT: Improving Knowledge Tracing via Considering Guess Behaviors. | Shuaishuai Zu, Songtao Cai, Weitao Tang, Chuyu Wang, Li Li, Jun Shen |
| 2024 | ICML | Iterative Search Attribution for Deep Neural Networks. | Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen |
| 2024 | VTC | Evaluating Energy Consumption Prediction Models of a Quadcopter Unmanned Aerial Vehicle. | Arupa Sarkar, Fendy Santoso, Jun Shen, Bo Du, Akbar Telikani, Jun Yan |
| 2024 | VTC | Smart Verification of Unmanned Aerial Vehicle GPS Geolocation via Received Signal Strength Indicators. | Arupa Sarkar, Fendy Santoso, Akbar Telikani, Jun Shen, Bo Du, Jun Yan |
| 2024 | SDM | GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. | Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan |
| 2023 | ADMA | DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. | Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen |
| 2023 | CIKM | FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. | Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | CIKM | Improving Adversarial Transferability via Frequency-based Stationary Point Search. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | CSCWD | Energy-Efficient Data Consistency based Sampling Rate Optimization and Aggregation Method for IoT. | Yazeed AlZahrani, Jun Shen, Jun Yan |
| 2023 | CSCWD | Adult Learners' Online Engagement and Perceived Outcomes with Educational Key Opinion Leaders: a Two-Phase Study. | Xiaochen Zhang, Jun Shen, Jun Yan |
| 2023 | CSCWD | Ensemble Machine Learning Method for Photovoltaic Power Forecasting. | Qingguo Zhou, Xiaorun Tang, Qingquan Lv, Ziyuan Li, Jun Shen, Jinqiang Wang, Binbin Yong |
| 2023 | FIE | Novel E-Learning Experience and Perceptions with Impacts from Educational Key Opinion Leaders. | Susan Zhang, Jun Shen, Jun Yan |
| 2023 | ICANN | A Document-Level Relation Extraction Framework with Dynamic Pruning. | Hanyue Zhang, Li Li, Jun Shen |
| 2023 | ICONIP | Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing. | Ke Li, Changchun Li, Jun Shen |
| 2023 | ICONIP | Contrastive Learning Augmented Graph Auto-Encoder. | Shuaishuai Zu, Chuyu Wang, Yafei Liu, Jun Shen, Li Li |
| 2023 | IJCNN | PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction. | Hanyue Zhang, Li Li, Jun Shen |
| 2023 | IJCNN | CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. | Shuaishuai Zu, Li Li, Jun Shen |
| 2023 | KDD | TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer. | Qiang Wu, Mingyuan Li, Jun Shen, Linyuan L, Bo Du, Ke Zhang |
| 2023 | MICCAI | Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. | Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng |
| 2022 | ACCV | Towards Improving the Anti-attack Capability of the RangeNet++. | Qingguo Zhou, Ming Lei, Peng Zhi, Rui Zhao, Jun Shen, Binbin Yong |
| 2022 | CSCWD | Research and Implementation of SDEN Security Service Model. | Ruixians Xia, Jun Shen, Ying Huang, Jie Ren |
| 2022 | CSCWD | Research on Automatic Generation of Comment Labels Oriented to Users' Individualized Needs. | Yu Zheng, Jun Shen, Ru Jia, Ru Li |
| 2022 | ICLP | Constrained Default Logic Programming. | Shutao Zhang, Zhizheng Zhang, Jun Shen |
| 2022 | ICML | Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control. | Liang Zhang, Qiang Wu, Jun Shen, Linyuan L, Bo Du, Jianqing Wu |
| 2022 | ISPA | Distributional Knowledge Transfer for Heterogeneous Federated Learning. | Huan Wang, Lijuan Wang, Jun Shen |
| 2022 | ISPA | Logit Calibration for Non-IID and Long-Tailed Data in Federated Learning. | Huan Wang, Lijuan Wang, Jun Shen |
| 2021 | CCGRID | TreeNet: A Hierarchical Deep Learning Model to Facilitate Edge Intelligence for Resource-Constrained Devices. | Dong Lu, Yanlong Zhai, Jianqing Wu, Jun Shen |
| 2021 | ESORICS | Optimal Verifiable Data Streaming Protocol with Data Auditing. | Jianghong Wei, Guohua Tian, Jun Shen, Xiaofeng Chen, Willy Susilo |
| 2021 | EUC | scList: A PCRAM-based Hybrid Memory Management Scheme. | Hongyu Wang, Xiaolei Tang, Liming Sheng, Wenqiang Li, Jun Shen, Jun Tao |
| 2021 | HPCC | Photovoltaic Power Forecasting in Dunhuang based on Recurrent Neural Network. | Qingquan Lv, Ming Ma, XueTao Jiang, Meiyu Jiang, Binbin Yong, Jun Shen, Qingguo Zhou |
| 2021 | HPCC | Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium. | Wei Wei, Qiang Wu, Jianqing Wu, Bo Du, Jun Shen, Tinghong Li |
| 2021 | ICLP | Answer Set Programming with Epistemic Defaults. | Shutao Zhang, Zhizheng Zhang, Jun Shen |
| 2021 | ICONIP | MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. | Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Ping Yu, Tingru Cui, Li Li, Ghassan Beydoun |
| 2020 | AIED | Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. | Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun, Shiping Chen |
| 2020 | ESORICS | Secure Cloud Auditing with Efficient Ownership Transfer. | Jun Shen, Fuchun Guo, Xiaofeng Chen, Willy Susilo |
| 2020 | IJCNN | HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. | Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen |
| 2020 | IJCNN | Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. | Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun |
| 2020 | ITS | Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning. | Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen |
| 2020 | KSEM | Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation. | Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun |
| 2020 | KSEM | Attention-Based Knowledge Tracing with Heterogeneous Information Network Embedding. | Nan Zhang, Ye Du, Ke Deng, Li Li, Jun Shen, Geng Sun |
| 2020 | PACBB | Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. | Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin |
| 2020 | WISE | Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. | Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen |
| 2019 | CSCWD | A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER. | Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li |
| 2018 | AAAI | Splitting an LPMLN Program. | Bin Wang, Zhizheng Zhang, Hongxiang Xu, Jun Shen |
| 2018 | CSCWD | Data Privacy and System Security for Banking and Financial Services Industry based on Cloud Computing Infrastructure. | Abhishek Mahalle, Jianming Yong, Xiaohui Tao, Jun Shen |
| 2018 | CSCWD | Data Fusion for MaaS: Opportunities and Challenges. | Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, Sim Kim Lau, Jianming Yong |
| 2018 | ICSOC | A Data Dependency and Access Threshold Based Replication Strategy for Multi-cloud Workflow Applications. | Fei Xie, Jun Yan, Jun Shen |
| 2018 | ITS | A Heuristic Approach for New-Item Cold Start Problem in Recommendation of Micro Open Education Resources. | Geng Sun, Tingru Cui, Dongming Xu, Jun Shen, Shiping Chen |
| 2017 | BigData | Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey. | Huaming Chen, Jiangning Song, Geng Sun, Jun Shen, Lei Wang |
| 2017 | BigData | Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions. | Huaming Chen, Jun Shen, Lei Wang, Jiangning Song |
| 2017 | CSCWD | Collaborative data analytics towards prediction on pathogen-host protein-protein interactions. | Huaming Chen, Jun Shen, Lei Wang, Jiangning Song |
| 2017 | ICALT | Ontological Learner Profile Identification for Cold Start Problem in Micro Learning Resources Delivery. | Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Shiping Chen |
| 2017 | SMC | GScheduler: Optimizing resource provision by using GPU usage pattern extraction in cloud environments. | Zhuqing Xu, Fang Dong, Jiahui Jin, Junzhou Luo, Jun Shen |
| 2016 | BigData | Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey. | Huaming Chen, Jun Shen, Lei Wang, Jiangning Song |
| 2016 | CSCWD | Learning path adaptation in online learning systems. | Alva Muhammad, Qingguo Zhou, Ghassan Beydoun, Dongming Xu, Jun Shen |
| 2016 | CSCWD | A High Availability Application Service Platform for nuclear power enterprises. | Zhe Sun, He Jin, Jianming Yong, Salim Al-Ismaili, Changyin Li, Jun Shen |
| 2016 | HPCC | A Description Method for Network Architecture. | Jun Shen, Zuqin Ji, Wen Gao, Yi Wan |
| 2016 | HPCC | Network-Interconnection-Oriented: A Scalable Routing Service Model. | Yi Wan, Jun Shen, Tao Han, Zuqin Ji |
| 2016 | IPCCC | The analysis of service extensibility in extensible network service model. | Zuqin Ji, Jun Shen, Xiao Zhou, Delin Ding, Yujian Zhang |
| 2015 | APWEB | Research of Botnet Situation Awareness Based on Big Data. | Zhiqiang Luo, Jun Shen, Huamin Jin, Dongxin Liu |
| 2015 | BigData | Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection. | Huaming Chen, Hong Zhao, Jun Shen, Rui Zhou, Qingguo Zhou |
| 2015 | CSCWD | Drawing micro learning into MOOC: Using fragmented pieces of time to enable effective entire course learning experiences. | Geng Sun, Tingru Cui, Jianming Yong, Jun Shen, Shiping Chen |
| 2015 | ICALT | Towards Bringing Adaptive Micro Learning into MOOC Courses. | Geng Sun, Tingru Cui, Kuan-Ching Li, Dongming Xu, Shiping Chen, Jun Shen, William W. Guo |
| 2015 | SEFM | A Formal Study of Backward Compatible Dynamic Software Updates. | Jun Shen, Rida A. Bazzi |
| 2014 | ICALT | Collaborative Learning through TaaS: A Mobile System for Courses over the Cloud. | Geng Sun, Jun Shen |
| 2014 | ICWS | Impacts of Pheromone Modification Strategies in Ant Colony for Data-Intensive Service Provision. | Lijuan Wang, Jun Shen, Junzhou Luo |
| 2013 | BigData | Cost and Time Aware Ant Colony Algorithm for Data Replica in Alpha Magnetic Spectrometer Experiment. | Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong |
| 2013 | BigData | Economical Data-Intensive Service Provision Supported with a Modified Genetic Algorithm. | Lijuan Wang, Jun Shen |
| 2013 | CSCWD | Evaluations of heuristic algorithms for teamwork-enhanced task allocation in mobile cloud-based learning. | Geng Sun, Jun Shen, Junzhou Luo, Jianming Yong |
| 2013 | CSCWD | Towards minimizing cost for composite data-intensive services. | Lijuan Wang, Jun Shen, Changyan Di, Yan Li, Qingguo Zhou |
| 2013 | DASC | The Study on the Self-Similarity and Simulation of CPS Traffic. | Jun Shen, Cuibo Yu |
| 2013 | ICALT | Teamwork as a Service: A Cloud-Based System for Enhancing Teamwork Performance in Mobile Learning. | Geng Sun, Jun Shen |
| 2013 | ICNC | Minimum energy multicast based on the shuffled frog-leaping algorithm in multi-rate wireless ad hoc networks with directional antennas. | Xiaojian Zhu, Jun Shen |
| 2013 | SMC | A Personalized Hybrid Recommendation System Oriented to E-Commerce Mass Data in the Cloud. | Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen |
| 2013 | SMC | Facilitating Collaborative Learning in TaaS: A Mobile Cloud System for Enhancing Teamwork Performance. | Geng Sun, Jun Shen |
| 2013 | SERVICES | Enhanced Ant Colony Algorithm for Cost-Aware Data-Intensive Service Provision. | Lijuan Wang, Jun Shen, Ghassan Beydoun |
| 2012 | APCCM | Evaluating Usage of WSMO and OWL-S in Semantic Web Services. | Lina Azleny Kamaruddin, Jun Shen, Ghassan Beydoun |
| 2012 | CSCWD | A survey on bio-inspired algorithms for web service composition. | Lijuan Wang, Jun Shen, Jianming Yong |
| 2012 | ICSoft | A Synthesis of a Knowledge Management Framework for Sports Event Management. | Azizul Rahman Abdul Ghaffar, Ghassan Beydoun, Jun Shen, Will Tibben, Dongming Xu |
| 2011 | CSCWD | A light weight approach for ontology generation and change synchronization between ontologies and source relational databases. | Waqas Ahmed, Muhammad Ahtisham Aslam, Jun Shen, Jianming Yong |
| 2011 | CSCWD | DeDu: Building a deduplication storage system over cloud computing. | Zhe Sun, Jun Shen, Jianming Yong |
| 2011 | ICALT | Modeling Mobile Learning System Using ANFIS. | Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz |
| 2011 | ICSoft | Towards Knowledge Management in Sports Event Management - Context Analysis of Malaysian Biannual Games with CommonKADS. | Azizul Rahman Abdul Ghaffar, Ghassan Beydoun, Jun Shen, Will Tibben |
| 2011 | ITW | Symmetric group testing and superimposed codes. | Amin Emad, Jun Shen, Olgica Milenkovic |
| 2010 | IIWAS | Enhanced learner model for adaptive mobile learning. | Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz |
| 2009 | WISE | Verification of Composite Services with Temporal Consistency Checking and Temporal Satisfaction Estimation. | Azlan B. Ismail, Jun Yan, Jun Shen |
| 2009 | SERVICES | Ant Inspired Scalable Peer Selection in Ontology-Based Service Composition. | Shuai Yuan, Jun Shen, Aneesh Krishna |
| 2008 | BPM | Dynamic Selection of Service Peers with Multiple Property Specifications. | Jun Shen, Shuai Yuan, Aneesh Krishna |
| 2008 | CaiSE | Modelling Quality and Spatial Characteristics for Autonomous e-Service Peers. | Jun Shen, Shuai Yuan |
| 2007 | CSCWD | An Integration Life Cycle for Semantic Web Services Composition. | Muhammad Ahtisham Aslam, Jun Shen, Sren Auer, Michael Herrmann |
| 2006 | BPM | Expressing Business Process Models as OWL-S Ontologies. | Muhammad Ahtisham Aslam, Sren Auer, Jun Shen, Michael Herrmann |
| 2006 | BPM | Preface. | Yun Yang, Jun Shen, Jun Yan, Jinjun Chen |
| 2006 | CSCWD | Building a Collaborative Manufacturing System on an Extensible SOA-based Platform. | Qiu Chen, Jun Shen, Yongqiang Dong, Jiangpeng Dai, Weijun Xu |
| 2005 | CSCWD | Adapting P2P based decentralised workflow system SwinDeW-S with Web service profile support. | Jun Shen, Yun Yang, Jun Yan |
| 2005 | ICMLC | Using Special Structured Fuzzy Measure to Represent Interaction Among IF-THEN Rules. | Xi-Zhao Wang, Jun Shen |
| 2005 | MDM | Delivering mobile enterprise applications on iMMS framework. | Jun Shen, Pei Sun, Changjie Guo, Ying Yin, Song Song |
| 2004 | APWEB | Effective Visualisation of Workflow Enactment. | Yun Yang, Wei Lai, Jun Shen, Xiaodi Huang, Jun Yan, Lukman Setiawan |
| 2004 | ICARCV | Authentication of biomedical images based on zero location watermarking. | Anthony T. S. Ho, Xunzhan Zhu, Jun Shen |
| 2004 | VCIP | Motion detection in color image sequence and shadow elimination. | Jun Shen |
| 2004 | VCIP | Moving object detection using orthogonal Gaussian-Hermite moments. | Youfu Wu, Jun Shen |
| 2003 | IM | RDF-based Knowledge Models for Network Management. | Jun Shen, Yun Yang |
| 2003 | ISCAS | Robust digital image-in-image watermarking algorithm using the fast Hadamard transform. | Anthony Tung Shuen Ho, Jun Shen, A. K. K. Chow, Jerry Woon |
| 2003 | VCIP | Slant transform watermarking for digital images. | Anthony T. S. Ho, Xunzhan Zhu, Jun Shen |
| 2002 | IGARSS | Digital image-in-image watermarking for copyright protection of satellite images using the fast Hadamard transform. | Anthony Tung Shuen Ho, Jun Shen, Soon Hie Tan, A. C. Kot |
| 1996 | ICPR | Orthogonal Legendre moments and their calculation. | Jun Shen, Danfei Shen |
| 1993 | CAIP | A Comparative Study of Performance for Noisy Roof Edge Detection. | Jun Shen, Serge Castan, Jian Zhao |
| 1992 | ICPR | Fast calculation of local moments and application to range image segmentation. | Bing-Cheng Li, Jun Shen |
| 1990 | ECCV | Optimal Filter For Edge Detection Methods And Results. | Serge Castan, Jian Zhao, Jun Shen |
| 1990 | ICPR | New edge detection methods based on exponential filter. | Serge Castan, Jian Zhao, Jun Shen |
| 1988 | ICPR | Further results on the DRF method for edge detection. | Jun Shen, Serge Castan |
| 1984 | ICASSP | A method for finding straight line and plane correspondences in stereopair images. | Serge Castan, Jun Shen |
| 1984 | ICASSP | A one-source photometric method for N-order specular surfaces. | Serge Castan, Jun Shen |
| 1982 | ICASSP | A structural method of pattern recognition and its application to on line recognition of Chinese ideographs. | Serge Castan, Jun Shen |