| 2026 | SIGIR | Balanced Frequency Decoupling: Energy-Aware Multi-Scale Preference Modeling for Sequential Recommendation. | Jiahao Hu, Wei Zhou, Jie Liao, Junlin Zhu, Junhao Wen, Hongyu Zhang |
| 2024 | APSEC | Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features. | Xinyu Zhang, Zixin Chang, Li Li, Wei Zhou, Junhao Wen |
| 2024 | SMC | ALGIN: Adaptive Local and Global Interests Network for Click-Through Rate Prediction. | Yingjia Xiang, Xuanyu Lu, Wei Zhou, Junhao Wen |
| 2023 | CIKM | CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. | Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen |
| 2023 | CIKM | Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. | Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao |
| 2023 | ICWS | Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. | Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen |
| 2022 | ICLR | Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. | Zhijian Yang, Junhao Wen, Christos Davatzikos |
| 2022 | IJCNN | Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. | Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen |
| 2022 | ICWS | Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. | Guanzhong Liang, Jie Liao, Wei Zhou, Junhao Wen |
| 2022 | PAKDD | LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. | Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang |
| 2021 | ICDE | Manipulating Black-Box Networks for Centrality Promotion. | Wentao Li, Min Gao, Fan Wu, Wenge Rong, Junhao Wen, Lu Qin |
| 2021 | ICONIP | GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. | Yu Wang, Wei Zhou, Junhao Wen, Jun Zeng, Haoran He, Lin Liu |
| 2021 | IJCNN | Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. | Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao |
| 2020 | GLOBECOM | Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks. | Hui Li, Chuan Sun, Xiuhua Li, Qingyu Xiong, Junhao Wen, Xiaofei Wang, Victor C. M. Leung |
| 2020 | ICONIP | DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. | Jun Zeng, Haoran Tang, Junhao Wen |
| 2020 | MICCAI | MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. | Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos |
| 2020 | SMC | GST-GCN: A Geographic-Semantic-Temporal Graph Convolutional Network for Context-aware Traffic Flow Prediction on Graph Sequences. | Jing Chen, Shijie Liao, Jiaxin Hou, Kesu Wang, Junhao Wen |
| 2020 | WCNC | Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks. | Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Xiaofei Wang, Victor C. M. Leung |
| 2020 | SERVICES | Web Service Discovery Based on Knowledge Graph and Similarity Network. | Yang Yu, Jun Zeng, Juan Yao, Junhao Wen, Bin Xing |
| 2019 | ICONIP | A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance. | Ling Liu, Qi Zhang, Yi Zhang, Junhao Wen |
| 2019 | IJCNN | A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting. | Haoye Tian, Haini Cai, Junhao Wen, Shun Li, Yingqiao Li |
| 2019 | IJCNN | From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. | Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou |
| 2019 | PAKDD | A Minimax Game for Generative and Discriminative Sample Models for Recommendation. | Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong |
| 2019 | UIC | Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature. | Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen |
| 2018 | ICONIP | Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. | Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen |
| 2018 | ICPR | Predicting Traffic Flow via Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations. | Jiaxin Hou, Jing Chen, Shijie Liao, Junhao Wen, Qingyu Xiong |
| 2018 | IJCNN | 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 |
| 2018 | TrustCom | A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing. | Yubiao Wang, Junhao Wen, Wei Zhou, Fengji Luo |
| 2017 | ICONIP | PUD: Social Spammer Detection Based on PU Learning. | Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong |
| 2017 | IJCNN | Social recommendation using Euclidean embedding. | Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou |
| 2017 | ICWS | A Location and Reputation Aware Matrix Factorization Approach for Personalized Quality of Service Prediction. | Shun Li, Junhao Wen, Fengji Luo, Tian Cheng, Qingyu Xiong |
| 2016 | IJCNN | Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning. | Wentao Li, Min Gao, Hua Li, Qingyu Xiong, Junhao Wen, Zhongfu Wu |
| 2016 | ICWS | Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems. | Xiang Li, Min Gao, Wenge Rong, Qingyu Xiong, Junhao Wen |
| 2016 | KSEM | LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning. | Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Bin Ling |
| 2015 | KSEM | Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization. | Xibin Wang, Junhao Wen, Fengji Luo, Wei Zhou, Haijun Ren |
| 2015 | KSEM | A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems. | Wei Zhou, Junhao Wen, Min Gao, Ling Liu, Haini Cai, Xibin Wang |
| 2014 | IJCNN | Attack detection in recommender systems based on target item analysis. | Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie |
| 2014 | SIGIR | Detection of abnormal profiles on group attacks in recommender systems. | Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie |
| 2013 | PAKDD | RNRank: Network-Based Ranking on Relational Tuples. | Peng Li, Ling Chen, Xue Li, Junhao Wen |
| 2011 | CISIS | Monitoring Resources Allocation for Service Composition Under Different Monitoring Mechanisms. | Pan He, Kaigui Wu, Junhao Wen, Jie Xu |
| 2005 | ADMA | ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining. | Zhong Qu, Junhao Wen, Dan Yang, Ling Xu, Yu Wu |
| 2005 | GRC | Algebraic reconstruction technique in image reconstruction with narrow fan-beam. | Zhong Qu, Junhao Wen, Dan Yang, Yu Wu |
| 2005 | ISNN | A Novel Clustering Algorithm Based upon a SOFM Neural Network Family. | Junhao Wen, Kaiwen Meng, Hongyan Wu, Zhongfu Wu |