ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining. - Zhong Qu; Junhao Wen 001; Dan Yang 001; Ling Xu; Yu Wu (ADMA, 2005)

Algebraic reconstruction technique in image reconstruction with narrow fan-beam. - Zhong Qu; Junhao Wen 001; Dan Yang 001; Yu Wu (GrC, 2005)

Clustering Algorithm Research Based on Self-organizing Feature Maps Networks. - Junhao Wen 001; Hongyan Wu; Zhongfu Wu; Yuanyan Tang; Guanghui He (Int. J. Pattern Recognit. Artif. Intell., 2006)

Extraction of Relevant Snippets from Web Pages Using Hybrid Features. - Jun Zeng 003; Qingyu Xiong; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2012)

Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence. - Yihao Zhang 002; Junhao Wen 001; Fangfang Tang; Zhuo Jiang (Int. J. Pattern Recognit. Artif. Intell., 2012)

Proposal of Seam Degree and Content Similarity for Web Page Segmentation. - Jun Zeng 003; Brendan Flanagan; Qingyu Xiong; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2013)

A Hybrid Trust Degree Model in Social Network for Recommender System. - Jun Zeng 003; Min Gao 001; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2014)

Attack detection in recommender systems based on target item analysis. - Wei Zhou 028; Junhao Wen 001; Yun Sing Koh; Shafiq Alam; Gillian Dobbie (IJCNN, 2014)

Detection of abnormal profiles on group attacks in recommender systems. - Wei Zhou 028; Yun Sing Koh; Junhao Wen 001; Shafiq Alam; Gillian Dobbie (SIGIR, 2014)

Semi-supervised learning combining co-training with active learning. - Yihao Zhang 002; Junhao Wen 001; Xibin Wang; Zhuo Jiang (Expert Syst. Appl., 2014)

Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization. - Xibin Wang; Junhao Wen 001; Fengji Luo; Wei Zhou 028; Haijun Ren (KSEM, 2015)

A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems. - Wei Zhou 028; Junhao Wen 001; Min Gao 001; Ling Liu 001; Haini Cai; Xibin Wang (KSEM, 2015)

Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis. - Zhuo Jiang; Junhao Wen 001; Jun Zeng 003; Yihao Zhang 002; Xibin Wang; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2015)

Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning. - Yihao Zhang 002; Junhao Wen 001; Xibin Wang; Zhuo Jiang (J. Intell. Inf. Syst., 2015)

Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series. - Wei Zhou 028; Junhao Wen 001; Qingyu Xiong; Jun Zeng 003; Ling Liu 001; Haini Cai; Tian Chen (CollaborateCom, 2016)

Robust Social Recommendation Techniques: A Review. - Feng Jiang 006; Min Gao 001; Qingyu Xiong; Junhao Wen 001; Yi Zhang (ICISO, 2016)

Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems. - Xiang Li; Min Gao 001; Wenge Rong; Qingyu Xiong; Junhao Wen 001 (ICWS, 2016)

A Restaurant Recommender System Based on User Preference and Location in Mobile Environment. - Jun Zeng 003; Feng Li 038; Haiyang Liu; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2016)

Design Method and Information Representation for Computer Aided Welding Fixture Design. - Yi Zhang; Junhao Wen 001; Jun Zeng 003; Qingyu Xiong (IIAI-AAI, 2016)

Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning. - Wentao Li 001; Min Gao 001; Hua Li; Qingyu Xiong; Junhao Wen 001; Zhongfu Wu (IJCNN, 2016)

LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning. - Wentao Li 001; Min Gao 001; Wenge Rong; Junhao Wen 001; Qingyu Xiong; Bin Ling (KSEM, 2016)

Data Driven Development Trend Analysis of Mainstream Information Technologies. - Junhao Wen 001; Guanghui Sun; Fengji Luo (ICSS, 2016)

SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems. - Wei Zhou 028; Junhao Wen 001; Qingyu Xiong; Min Gao 001; Jun Zeng 003 (Neurocomputing, 2016)

基于用户签到和地理属性的个性化位置推荐算法研究 (Personalized Location Recommendation Algorithm Research Based on User Check-ins and Geographical Properties). - Haini Cai; Cheng Chen; Junhao Wen 001; Xibin Wang; Jun Zeng 003 (计算机科学, 2016)

基于情境相似度和二次聚类的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Context Similarity and Twice Clustering). - Haini Cai; Mengqiu Qin; Junhao Wen 001; Qingyu Xiong; Maoliang Li (计算机科学, 2016)

A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks. - Jun Zeng 003; Feng Li 038; Junhao Wen 001; Wei Zhou 028 (CollaborateCom, 2017)

PUD: Social Spammer Detection Based on PU Learning. - Yuqi Song; Min Gao 001; Junliang Yu; Wentao Li 001; Junhao Wen 001; Qingyu Xiong (ICONIP (5), 2017)

A Location and Reputation Aware Matrix Factorization Approach for Personalized Quality of Service Prediction. - Shun Li; Junhao Wen 001; Fengji Luo; Tian Cheng 004; Qingyu Xiong (ICWS, 2017)

A Point-of-Interest Recommendation Method Using Location Similarity. - Jun Zeng 003; Yinghua Li; Feng Li 038; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2017)

Social recommendation using Euclidean embedding. - Wentao Li 001; Min Gao 001; Wenge Rong; Junhao Wen 001; Qingyu Xiong; Ruixi Jia; Tong Dou (IJCNN, 2017)

Defend against advanced persistent threats: An optimal control approach. - Pengdeng Li; Luxing Yang; Xiaofan Yang; Qingyu Xiong; Junhao Wen 001; Yuan Yan Tang (CoRR, 2017)

A framework of mining semantic-based probabilistic event relations for complex activity recognition. - Li Liu 001; Shu Wang 005; Guoxin Su; Bin Hu 001; Yuxin Peng; Qingyu Xiong; Junhao Wen 001 (Inf. Sci., 2017)

The Performance of Location Aware Shilling Attacks in Web Service Recommendation. - Min Gao 001; Xiang Li; Wenge Rong; Junhao Wen 001; Qingyu Xiong (Int. J. Web Serv. Res., 2017)

Exploring the Influence of Contexts for Mobile Recommendation. - Jun Zeng 003; Feng Li 038; Yinghua Li; Junhao Wen 001; Yingbo Wu (Int. J. Web Serv. Res., 2017)

An Operational Planning Framework for Large-Scale Thermostatically Controlled Load Dispatch. - Fengji Luo; Zhao Yang Dong; Ke Meng 001; Junhao Wen 001; Haiming Wang; Junhua Zhao 001 (IEEE Trans. Ind. Informatics, 2017)

A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side. - Shun Li; Junhao Wen 001; Fengji Luo; Min Gao 001; Jun Zeng 003; Zhao Yang Dong (IEEE Trans. Netw. Serv. Manag., 2017)

Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds. - Quanwang Wu; Fuyuki Ishikawa; Qingsheng Zhu; Yunni Xia; Junhao Wen 001 (IEEE Trans. Parallel Distributed Syst., 2017)

Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. - Qianqi Fang; Ling Liu 001; Junliang Yu; Junhao Wen 001 (ICONIP (3), 2018)

Predicting Traffic Flow via Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations. - Jiaxin Hou; Jing Chen; Shijie Liao; Junhao Wen 001; Qingyu Xiong (ICPR, 2018)

Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data. - Shijie Liao; Jing Chen; Jiaxin Hou; Qingyu Xiong; Junhao Wen 001 (IJCNN, 2018)

Defending Against Advanced Persistent Threat: A Risk Management Perspective. - Xiang Zhong; Luxing Yang; Xiaofan Yang; Qingyu Xiong; Junhao Wen 001; Yuan Yan Tang (SciSec, 2018)

A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Fengji Luo (TrustCom/BigDataSE, 2018)

Time-Aware QoS Prediction for Cloud Service Recommendation Based on Matrix Factorization. - Shun Li; Junhao Wen 001; Fengji Luo; Gianluca Ranzi (IEEE Access, 2018)

融合矩阵分解与距离度量学习的社会化推荐算法 (Social Recommendation Method Integrating Matrix Factorization and Distance Metric Learning). - Junhao Wen 001; Dawen Dai; Junliang Yu; Min Gao 001; Yihao Zhang 002 (计算机科学, 2018)

Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition. - Li Liu 001; Shu Wang 005; Bin Hu 001; Qingyu Xiong; Junhao Wen 001; David S. Rosenblum (Pattern Recognit., 2018)

Defending against the Advanced Persistent Threat: An Optimal Control Approach. - Pengdeng Li; Xiaofan Yang; Qingyu Xiong; Junhao Wen 001; Yuan Yan Tang (Secur. Commun. Networks, 2018)

A Point-of-Interest recommendation method using user similarity. - Jun Zeng 003; Xin He; Yinghua Li; Junhao Wen 001; Wei Zhou 028 (Web Intell., 2018)

A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention. - Jun Zeng 003; Xin He; Haoran Tang; Junhao Wen 001 (CollaborateCom, 2019)

A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance. - Ling Liu 001; Qi Zhang 009; Yi Zhang; Junhao Wen 001 (ICONIP (5), 2019)

A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting. - Haoye Tian; Haini Cai; Junhao Wen 001; Shun Li; Yingqiao Li (IJCNN, 2019)

From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. - Jianing Zhou; Junhao Wen 001; Shun Li; Wei Zhou 028 (IJCNN, 2019)

A Minimax Game for Generative and Discriminative Sample Models for Recommendation. - Zongwei Wang 002; Min Gao 001; Xinyi Wang 008; Junliang Yu; Junhao Wen 001; Qingyu Xiong (PAKDD (2), 2019)

Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature. - Jun Liao 001; Dandan Liu; Junfeng Hu 001; Yande Li; Aamir Khan; Li Liu 001; Qingyu Xiong; Junhao Wen 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition. - Tian Chen; Junhao Wen 001; Qingyu Xiong; Jun Zeng 003; Wei Zhou 028; Xueyuan Cai (IEEE Access, 2019)

Channel Attention Networks for Image Translation. - Sun Song; Bo Zhao 032; Xin Chen; Muhammad Mateen; Junhao Wen 001 (IEEE Access, 2019)

A Cloud Service Selection Method Based on Trust and User Preference Clustering. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Bamei Tao; Quanwang Wu; Zhiyong Tao (IEEE Access, 2019)

From similarity perspective: a robust collaborative filtering approach for service recommendations. - Min Gao 001; Bin Ling; Linda Yang 002; Junhao Wen 001; Qingyu Xiong; Shun Li (Frontiers Comput. Sci., 2019)

A dynamic cloud service selection model based on trust and SLA in cloud computing. - Yubiao Wang; Junhao Wen 001; Quanwang Wu; Lei Guo; Bamei Tao (Int. J. Grid Util. Comput., 2019)

A trust-based evaluation model for data privacy protection in cloud computing. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028 (Int. J. High Perform. Comput. Netw., 2019)

A semi-supervised approach of graph-based with local and global consistency. - Yihao Zhang 002; Junhao Wen 001; Zhi Liu 004; Changpeng Zhu (Int. J. Inf. Technol. Manag., 2019)

光照度聚类和支持向量机在路灯节能控制策略中的应用 (Application of Illumination Clustering and SVM in Energy-saving Control Strategy of Street Lamps). - Junhao Wen 001; Yuan Wan; Jun Zeng 003; Xibin Wang; Guanzhong Liang (计算机科学, 2019)

一种基于领域信任及不信任的奇异值分解推荐算法 (Recommendation Algorithm with Field Trust and Distrust Based on SVD). - Qi Zhang 009; Ling Liu 001; Junhao Wen 001 (计算机科学, 2019)

Fused Collaborative Filtering With User Preference, Geographical and Social Influence for Point of Interest Recommendation. - Jun Zeng 003; Feng Li 038; Xin He; Junhao Wen 001 (Int. J. Web Serv. Res., 2019)

From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System. - Shun Li; Junhao Wen 001; Xibin Wang (Mob. Inf. Syst., 2019)

Using fine-tuned conditional probabilities for data transformation of nominal attributes. - Qiude Li; Qingyu Xiong; Shengfen Ji; Junhao Wen 001; Min Gao 001; Yang Yu 033; Rui Xu (Pattern Recognit. Lett., 2019)

A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis. - Yubiao Wang; Junhao Wen 001; Xibin Wang; Bamei Tao; Wei Zhou 028 (Secur. Commun. Networks, 2019)

Energy-Efficient Patching Strategy for Wireless Sensor Networks. - Pengdeng Li; Lu-Xing Yang; Xiaofan Yang; Xiang Zhong; Junhao Wen 001; Qingyu Xiong (Sensors, 2019)

Fundus Image Classification Using VGG-19 Architecture with PCA and SVD. - Muhammad Mateen; Junhao Wen 001; Nasrullah; Sun Song; Zhouping Huang (Symmetry, 2019)

Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. - Jia Wang; Min Gao 001; Zongwei Wang 002; Runsheng Wang; Junhao Wen 001 (CLOUD, 2020)

Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks. - Hui Li; Chuan Sun; Xiuhua Li; Qingyu Xiong; Junhao Wen 001; Xiaofei Wang 001; Victor C. M. Leung (GLOBECOM, 2020)

DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. - Jun Zeng 003; Haoran Tang; Junhao Wen 001 (ICONIP (3), 2020)

Web Service Discovery Based on Knowledge Graph and Similarity Network. - Yang Yu 033; Jun Zeng 003; Juan Yao; Junhao Wen 001; Bin Xing (SERVICES, 2020)

Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks. - Chuan Sun; Hui Li; Xiuhua Li; Junhao Wen 001; Qingyu Xiong; Xiaofei Wang 001; Victor C. M. Leung (WCNC, 2020)

Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics. - Muhammad Mateen; Junhao Wen 001; Mehdi Hassan; Nasrullah; Sun Song; Shaukat Hayat (IEEE Access, 2020)

Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey. - Chuan Sun; Hui Li; Xiuhua Li; Junhao Wen 001; Qingyu Xiong; Wei Zhou 028 (IEEE Access, 2020)

Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks. - Muhammad Mateen; Junhao Wen 001; Nasrullah; Sun Song; Shaukat Hayat (Complex., 2020)

MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows. - Quanwang Wu; MengChu Zhou; Qingsheng Zhu; Yunni Xia; Junhao Wen 001 (IEEE Trans Autom. Sci. Eng., 2020)

Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. - Hanwen Zhang; Wei Zhou 028; Junhao Wen 001; Ling Liu 001; Jun Zeng 003; Min Gao 001 (SCC, 2021)

Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction. - Shiqi Wang 018; Min Gao 001; Zongwei Wang 002; Jia Wang; Fan Wu; Junhao Wen 001 (CollaborateCom (1), 2021)

Improving Personalized Project Recommendation on GitHub Based on Deep Matrix Factorization. - Huan Yang; Song Sun; Junhao Wen 001; Haini Cai; Muhammad Mateen (CollaborateCom (1), 2021)

Manipulating Black-Box Networks for Centrality Promotion. - Wentao Li 001; Min Gao 001; Fan Wu; Wenge Rong; Junhao Wen 001; Lu Qin 001 (ICDE, 2021)

GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. - Yu Wang 267; Wei Zhou 028; Junhao Wen 001; Jun Zeng 003; Haoran He; Lin Liu (ICONIP (2), 2021)

Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. - Juan Yao; Jun Zeng 003; Junhao Wen 001; Wei Zhou 028; Min Gao 001 (IJCNN, 2021)

Predicting the next location: A self-attention and recurrent neural network model with temporal context. - Jun Zeng 003; Xin He; Haoran Tang; Junhao Wen 001 (Trans. Emerg. Telecommun. Technol., 2021)

Recommender systems based on generative adversarial networks: A problem-driven perspective. - Min Gao 001; Junwei Zhang 004; Junliang Yu; Jundong Li; Junhao Wen 001; Qingyu Xiong (Inf. Sci., 2021)

PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. - Jun Zeng 003; Haoran Tang; Yizhu Zhao; Min Gao 001; Junhao Wen 001 (Mob. Networks Appl., 2021)

An improved shuffled frog-leaping algorithm for the minmax multiple traveling salesman problem. - Yafei Dong; Quanwang Wu; Junhao Wen 001 (Neural Comput. Appl., 2021)

Improving deep-learning-based fault localization with resampling. - Zhuo Zhang 007; Yan Lei; Xiaoguang Mao; Meng Yan 001; Ling Xu; Junhao Wen 001 (J. Softw. Evol. Process., 2021)

PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks. - Qilin Fan; Xiuhua Li; Jian Li 008; Qiang He 001; Kai Wang 014; Junhao Wen 001 (IEEE Trans. Netw. Serv. Manag., 2021)

A Flow Prediction Model of Bike-Sharing Based on Cycling Context. - Yizhu Zhao; Jun Zeng 003; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (CollaborateCom (1), 2022)

High-dimensional Feature Selection in Classification: A Length-Adaptive Evolutionary Approach. - Junhai Zhou; Jianyun Lu; Quanwang Wu; Junhao Wen 001 (ICNSC, 2022)

Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. - Guanzhong Liang; Jie Liao; Wei Zhou 028; Junhao Wen 001 (ICWS, 2022)

Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. - Xuqi Yang; Xinyu Xiao; Wei Zhou 028; Junhao Wen 001 (IJCNN, 2022)

Leveraging GCN and User Friendship for Next POI Recommendation. - Cheng Fu; Wei Zhou 028; Junhao Wen 001; Xiangxing Guo; Yuhang Chang (MLNLP, 2022)

LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. - Lin Liu; Wei Zhou 028; Junhao Wen 001; Yihao Zhang 002; Yu Wang 267; Hanwen Zhang (PAKDD (1), 2022)

Interest-Aware Contrastive-Learning-Based GCN for Recommendation. - Chuan Lin; Wei Zhou 028; Junhao Wen 001 (IEEE Access, 2022)

Ada: Adversarial learning based data augmentation for malicious users detection. - Jia Wang; Min Gao 001; Zongwei Wang 002; Chenghua Lin; Wei Zhou 028; Junhao Wen 001 (Appl. Soft Comput., 2022)

A cloud service recommendation method based on extended multi-source information fusion. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Xibin Wang; Quanwang Wu; Bamei Tao (Concurr. Comput. Pract. Exp., 2022)

BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. - Jun Zeng 003; Yizhu Zhao; Yang Yu 033; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (EURASIP J. Wirel. Commun. Netw., 2022)

Multi-interaction fusion collaborative filtering for social recommendation. - Xinyu Xiao; Junhao Wen 001; Wei Zhou 028; Fengji Luo; Min Gao 001; Jun Zeng 003 (Expert Syst. Appl., 2022)

Effort-aware cross-project just-in-time defect prediction framework for mobile apps. - Tian Cheng 004; Kunsong Zhao; Song Sun; Muhammad Mateen; Junhao Wen 001 (Frontiers Comput. Sci., 2022)

Mask guided diverse face image synthesis. - Sun Song; Bo Zhao 032; Muhammad Mateen; Xin Chen; Junhao Wen 001 (Frontiers Comput. Sci., 2022)

SocialLGN: Light graph convolution network for social recommendation. - Jie Liao; Wei Zhou 028; Fengji Luo; Junhao Wen 001; Min Gao 001; Xiuhua Li; Jun Zeng 003 (Inf. Sci., 2022)

A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing. - Jun Zeng 003; Juan Yao; Min Gao 001; Junhao Wen 001 (J. Cloud Comput., 2022)

Individual Diversity Preference Aware Neural Collaborative Filtering. - Guanzhong Liang; Junhao Wen 001; Wei Zhou 028 (Knowl. Based Syst., 2022)

A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network. - Guanzhong Liang; Chuan Sun; Jianing Zhou; Fengji Luo; Junhao Wen 001; Xiuhua Li (Mob. Networks Appl., 2022)

Multi-User QoE Enhancement: Federated Multi-Agent Reinforcement Learning for Cooperative Edge Intelligence. - Xiuhua Li; Chuan Sun; Junhao Wen 001; Xiaofei Wang 001; Mohsen Guizani; Victor C. M. Leung (IEEE Netw., 2022)

Deep Learning Approach for Automatic Microaneurysms Detection. - Muhammad Mateen; Tauqeer Safdar Malik; Shaukat Hayat; Musab Hameed; Song Sun; Junhao Wen 001 (Sensors, 2022)

Endpoint Communication Contention-Aware Cloud Workflow Scheduling. - Quanwang Wu; MengChu Zhou; Junhao Wen 001 (IEEE Trans Autom. Sci. Eng., 2022)

DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning. - Qilin Fan; Pan Pan; Xiuhua Li; Sen Wang; Jian Li 008; Junhao Wen 001 (IEEE Trans. Netw. Serv. Manag., 2022)

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. - Chenghua Duan; Wei Fan; Wei Zhou 028; Hu Liu; Junhao Wen 001 (CIKM, 2023)

Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Hongyu Zhang 002; Min Gao 001 (CIKM, 2023)

Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. - Hongjin Tao; Jun Zeng 003; Ziwei Wang; Min Gao 001; Junhao Wen 001 (ICWS, 2023)

DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection. - Chaoran Zhang; Min Gao 001; Yinqiu Huang; Feng Jiang 006; Jia Wang; Junhao Wen 001 (NLPCC (2), 2023)

Personalized Dynamic Attention Multi-task Learning model for document retrieval and query generation. - Jun Zeng 003; Yang Yu 033; Junhao Wen 001; Wenying Jiang; Luxi Cheng (Expert Syst. Appl., 2023)

Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems. - Linfeng Hu; Junhao Wen 001; Hanwen Zhang; Wei Zhou 028; Hongyu Wang (Intell. Data Anal., 2023)

LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network. - Xinyu Xiao; Wei Zhou 028; Junhao Wen 001 (Inf. Sci., 2023)

Multi-views contrastive learning for dense text retrieval. - Yang Yu 033; Jun Zeng 003; Lin Zhong; Min Gao 001; Junhao Wen 001; Yingbo Wu (Knowl. Based Syst., 2023)

Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks. - Chuan Sun; Xiuhua Li; Junhao Wen 001; Xiaofei Wang 001; Zhu Han 001; Victor C. M. Leung (IEEE J. Sel. Areas Commun., 2023)

Multi-perspective enhanced representation for effective session-based recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Hongyu Wang; Linfeng Hu; Shuang Ni (Knowl. Based Syst., 2023)

Self-paced multi-label co-training. - Yanlu Gong; Quanwang Wu; Mengchu Zhou; Junhao Wen 001 (Inf. Sci., 2023)

Neu-PCM: Neural-based potential correlation mining for POI recommendation. - Jun Zeng 003; Haoran Tang; Yizhu Zhao; Junhao Wen 001 (Appl. Intell., 2023)

Meta-relation assisted knowledge-aware coupled graph neural network for recommendation. - Yao Chang; Wei Zhou 028; Haini Cai; Wei Fan; Linfeng Hu; Junhao Wen 001 (Inf. Process. Manag., 2023)

Meta-prompt based learning for low-resource false information detection. - Yinqiu Huang; Min Gao 001; Jia Wang; Junwei Yin; Kai Shu; Qilin Fan; Junhao Wen 001 (Inf. Process. Manag., 2023)

Enhancing sequential recommendation with contrastive Generative Adversarial Network. - Shuang Ni; Wei Zhou 028; Junhao Wen 001; Linfeng Hu; Shutong Qiao (Inf. Process. Manag., 2023)

Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification. - Fuyuan Xiao 001; Junhao Wen 001; Witold Pedrycz (IEEE Trans. Knowl. Data Eng., 2023)

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. - Haoye Tian; Kui Liu 001; Yinghua Li; Abdoul Kader Kaboré; Anil Koyuncu; Andrew Habib; Li Li 029; Junhao Wen 001; Jacques Klein; Tegawendé F. Bissyandé (ACM Trans. Softw. Eng. Methodol., 2023)

A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection. - Yanlu Gong; Junhai Zhou; Quanwang Wu; MengChu Zhou; Junhao Wen 001 (IEEE CAA J. Autom. Sinica, 2023)

IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. - Yuhang Chang; Wei Zhou 028; Junhao Wen 001 (Expert Syst. Appl., 2023)

LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. - Jun Zeng 003; Yizhu Zhao; Ziwei Wang; Hongjin Tao; Min Gao 001; Junhao Wen 001 (Expert Syst. Appl., 2023)

Enhanced contrastive learning with multi-aspect information for recommender systems. - Linfeng Hu; Wei Zhou 028; Fengji Luo; Shuang Ni; Junhao Wen 001 (Knowl. Based Syst., 2023)

Feature-based POI grouping with transformer for next point of interest recommendation. - Yuhang He; Wei Zhou 028; Fengji Luo; Min Gao 001; Junhao Wen 001 (Appl. Soft Comput., 2023)

Deep adaptive collaborative graph neural network for social recommendation. - Liping Wang; Wei Zhou 028; Ling Liu 001; Zhengyi Yang 003; Junhao Wen 001 (Expert Syst. Appl., 2023)

Point-of-interest Recommendation using Deep Semantic Model. - Ziwei Wang; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Expert Syst. Appl., 2023)

Noise-reducing graph neural network with intent-target co-action for session-based recommendation. - Shutong Qiao; Wei Zhou 028; Fengji Luo; Junhao Wen 001 (Inf. Process. Manag., 2023)

LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification. - Junhai Zhou; Quanwang Wu; Mengchu Zhou; Junhao Wen 001; Yusuf Al-Turki 001; Abdullah Abusorrah (IEEE Trans. Cybern., 2023)

Research on Collaborative Innovation Ability Training of Software Engineering Talents Based on the Industry-Education Integration. - Jun Zeng 003; Junhao Wen 001; Bin Cai; Qian Xiao (SSE, 2024)

Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features. - Xinyu Zhang; Zixin Chang; Li Li 029; Wei Zhou 028; Junhao Wen 001 (APSEC, 2024)

Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning. - Hu Liu; Xuanyu Lu; Wei Zhou 028; Junhao Wen 001 (ICIC (13), 2024)

ALGIN: Adaptive Local and Global Interests Network for Click-Through Rate Prediction. - Yingjia Xiang; Xuanyu Lu; Wei Zhou 028; Junhao Wen 001 (SMC, 2024)

LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. - Shutong Qiao; Chen Gao 001; Junhao Wen 001; Wei Zhou 028; Qun Luo; Peixuan Chen; Yong Li 008 (CoRR, 2024)

GTPAN: Global Target Preference Attention Network for session-based recommendation. - Tingwei Lu; Xinyu Xiao; Yin Xiao; Junhao Wen 001 (Expert Syst. Appl., 2024)

SCFL: Spatio-temporal consistency federated learning for next POI recommendation. - Lin Zhong; Jun Zeng 003; Ziwei Wang; Wei Zhou 028; Junhao Wen 001 (Inf. Process. Manag., 2024)

SFL: A semantic-based federated learning method for POI recommendation. - Xunan Dong; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Inf. Sci., 2024)

DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. - Ziwei Wang; Jun Zeng 003; Lin Zhong; Ling Liu 001; Min Gao 001; Junhao Wen 001 (Inf. Sci., 2024)

CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. - Bo Liu; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Knowl. Based Syst., 2024)

Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic. - Chuan Sun; Xiongwei Wu; Xiuhua Li; Qilin Fan; Junhao Wen 001; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2024)

Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning. - Jie Liao; Wei Zhou 028; Fengji Luo; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2024)

A Communication-Contention-Aware Privacy-Preserving Workflow Scheduling Method for Geo-Distributed Datacenters. - Xinyue Shu; Quanwang Wu; MengChu Zhou; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2024)

Multiple hypergraph convolutional network social recommendation using dual contrastive learning. - Hongyu Wang; Wei Zhou 028; Junhao Wen 001; Shutong Qiao (Data Min. Knowl. Discov., 2024)

A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds. - Qingliang Zhang; Quanwang Wu; MengChu Zhou; Junhao Wen 001; Siya Yao (IEEE Trans Autom. Sci. Eng., 2024)

Dual-Perspective Modeling: Interest Trend-Detection and Diversity-Aware for Multi-behavior Sequential Recommendation. - Peixuan Sun; Zhida Zheng; Yuhan Yang; Wei Zhou 028; Junhao Wen 001 (ICIC (19), 2025)

Multi-view collaborative signal fusion and representation property optimization for recommendation. - Pengfan Chen; Wei Zhou 028; Yao Chang; Jun Zeng 003; Junhao Wen 001 (Eng. Appl. Artif. Intell., 2025)

Learning robust travel preferences via check-in masking for next POI recommendation. - Chenghua Duan; Junhao Wen 001; Wei Zhou 028; Jun Zeng 003; Yihao Zhang 002 (Expert Syst. Appl., 2025)

Disentangling Long- and Short-term Preferences Based on Latent Commonalities Enhancement for Next Point-of-Interest Recommendation. - Qing Zhang; Xiao Huang; Qi Zhang 009; Wei Zhou 028; Junhao Wen 001 (Expert Syst. Appl., 2025)

Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation. - Wei Zhou 028; Xianyi Zhang; Junhao Wen 001; Xibin Wang (Expert Syst. Appl., 2025)

Global and local hypergraph learning method with semantic enhancement for POI recommendation. - Jun Zeng 003; Hongjin Tao; Haoran Tang; Junhao Wen 001; Min Gao 001 (Inf. Process. Manag., 2025)

Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. - Shuang Ni; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (Knowl. Based Syst., 2025)

Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation. - Jun Zeng 003; Hongjin Tao; Junhao Wen 001; Min Gao 001 (Knowl. Based Syst., 2025)

Simplified self-supervised learning for hybrid propagation graph-based recommendation. - Jianing Zhou; Jie Liao; Xi Zhu; Junhao Wen 001; Wei Zhou 028 (Neural Networks, 2025)

Dynamically Scheduling Deadline-Constrained Interleaved Workflows on Heterogeneous Computing Systems. - Kun Cai; Quanwang Wu; Mengchu Zhou; Chao Chen; Junhao Wen 001; Shouguang Wang (IEEE Trans. Serv. Comput., 2025)

DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. - Yue Li; Jun Zeng 003; Haoran Tang; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (IEEE Trans. Serv. Comput., 2025)

Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation. - Junhui Niu; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2025)

HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model. - Yinchen Pan; Jun Zeng 003; Ziwei Wang; Haoran Tang; Junhao Wen 001; Min Gao 001 (IEEE Trans. Serv. Comput., 2025)

Next PoI Recommendation Based on Graph Convolutional Networks and Multiple Context-Awareness. - Wei Zhou 028; Cheng Fu; Chunyan Sang; Min Gao 001; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2025)

Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation. - Wuhan Chen; Zongwei Wang 002; Min Gao 001; Xin Xia 013; Feng Jiang 006; Junhao Wen 001 (CoRR, 2025)

Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks. - Wei Zhou 028; Chenzhan Wang; Fengji Luo; Yu Wang 267; Min Gao 001; Junhao Wen 001 (IEEE Trans. Comput. Soc. Syst., 2025)

Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Chen Gao 001; Qun Luo; Peixuan Chen; Yong Li 008 (ACM Trans. Inf. Syst., 2025)

Multi-Scale Transformers with dual attention and adaptive masking for sequential recommendation. - Haiqin Li; Yuhan Yang; Jun Zeng 003; Min Gao 001; Junhao Wen 001 (Inf. Process. Manag., 2026)