Junhao Wen

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 167

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Hu Liu, Xuanyu Lu, Wei Zhou, Junhao Wen
Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning. ICIC (13) (2024)
Ziwei Wang, Jun Zeng, Lin Zhong, Ling Liu, Min Gao, Junhao Wen
DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. Inf. Sci. 678 (2024)
Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. CoRR (2024)
Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
SFL: A semantic-based federated learning method for POI recommendation. Inf. Sci. 679 (2024)
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen
Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning. IEEE Trans. Serv. Comput. 17 (3) (2024)
Junhao Wen, Mathilde Antoniades, Zhijian Yang, Gyujoon Hwang, Ioanna Skampardoni, Rongguang Wang, Christos Davatzikos
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning. CoRR (2024)
Tingwei Lu, Xinyu Xiao, Yin Xiao, Junhao Wen
GTPAN: Global Target Preference Attention Network for session-based recommendation. Expert Syst. Appl. 243 (2024)
Yingfei Qu, Wanbing Liu, Junhao Wen, Ming Li
Adaptive robust structure exploration for complex systems based on model configuration and fusion. PeerJ Comput. Sci. 10 (2024)
Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97 (2024)
Hongyu Wang, Wei Zhou, Junhao Wen, Shutong Qiao
Multiple hypergraph convolutional network social recommendation using dual contrastive learning. Data Min. Knowl. Discov. 38 (4) (2024)
Yuhang Chang, Wei Zhou, Junhao Wen
IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. Expert Syst. Appl. 228 (2023)
Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen
Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. ICWS (2023)
Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli, Ioanna Skampardoni, Lasya P. Sreepada, Dushyant Sahoo, Konstantina S. Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos
Applications of generative adversarial networks in neuroimaging and clinical neuroscience. NeuroImage 269 (2023)
Yang Yu, Jun Zeng, Lin Zhong, Min Gao, Junhao Wen, Yingbo Wu
Multi-views contrastive learning for dense text retrieval. Knowl. Based Syst. 274 (2023)
Yanlu Gong, Junhai Zhou, Quanwang Wu, MengChu Zhou, Junhao Wen
A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection. IEEE CAA J. Autom. Sinica 10 (9) (2023)
Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni
Multi-perspective enhanced representation for effective session-based recommendation. Knowl. Based Syst. 263 (2023)
Linfeng Hu, Junhao Wen, Hanwen Zhang, Wei Zhou, Hongyu Wang
Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems. Intell. Data Anal. 27 (3) (2023)
Jun Zeng, Yang Yu, Junhao Wen, Wenying Jiang, Luxi Cheng
Personalized Dynamic Attention Multi-task Learning model for document retrieval and query generation. Expert Syst. Appl. 213 (Part) (2023)
Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen
Enhanced contrastive learning with multi-aspect information for recommender systems. Knowl. Based Syst. 277 (2023)
Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
Point-of-interest Recommendation using Deep Semantic Model. Expert Syst. Appl. 231 (2023)
Xinyu Xiao, Wei Zhou, Junhao Wen
LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network. Inf. Sci. 642 (2023)
Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Güray Erus, Elizabeth Mamourian, R. Nick Bryan, David A. Wolk, Lori L. Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269 (2023)
Zexuan Wang, Jiong Chen, Wenxi Yang, Sumita Garai, Frederick H. Xu, Junhao Wen, Christos Davatzikos, Li Shen
Shape analysis of amygdala atrophy using SPHARM-OT. Medical Imaging: Image Processing (2023)
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR (2023)
Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage 280 (2023)
Yuhang He, Wei Zhou, Fengji Luo, Min Gao, Junhao Wen
Feature-based POI grouping with transformer for next point of interest recommendation. Appl. Soft Comput. 147 (2023)
Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao
Enhancing sequential recommendation with contrastive Generative Adversarial Network. Inf. Process. Manag. 60 (3) (2023)
Liping Wang, Wei Zhou, Ling Liu, Zhengyi Yang, Junhao Wen
Deep adaptive collaborative graph neural network for social recommendation. Expert Syst. Appl. 229 (Part A) (2023)
Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Yao Chang, Wei Zhou, Haini Cai, Wei Fan, Linfeng Hu, Junhao Wen
Meta-relation assisted knowledge-aware coupled graph neural network for recommendation. Inf. Process. Manag. 60 (3) (2023)
Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. CIKM (2023)
Fuyuan Xiao, Junhao Wen, Witold Pedrycz
Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Yanlu Gong, Quanwang Wu, Mengchu Zhou, Junhao Wen
Self-paced multi-label co-training. Inf. Sci. 622 (2023)
Jun Zeng, Yizhu Zhao, Ziwei Wang, Hongjin Tao, Min Gao, Junhao Wen
LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. Expert Syst. Appl. 227 (2023)
Shutong Qiao, Wei Zhou, Fengji Luo, Junhao Wen
Noise-reducing graph neural network with intent-target co-action for session-based recommendation. Inf. Process. Manag. 60 (6) (2023)
Chaoran Zhang, Min Gao, Yinqiu Huang, Feng Jiang, Jia Wang, Junhao Wen
DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection. NLPCC (2) (2023)
Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Chunlei Fu, Heng Li
An early warning method for abnormal behavior of college students based on multimodal fusion and improved decision tree. J. Intell. Fuzzy Syst. 45 (5) (2023)
Junhai Zhou, Quanwang Wu, Mengchu Zhou, Junhao Wen, Yusuf Al-Turki, Abdullah Abusorrah
LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification. IEEE Trans. Cybern. 53 (11) (2023)
Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. CIKM (2023)
Chuan Sun, Xiuhua Li, Junhao Wen, Xiaofei Wang, Zhu Han, Victor C. M. Leung
Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks. IEEE J. Sel. Areas Commun. 41 (3) (2023)
Jun Zeng, Haoran Tang, Yizhu Zhao, Junhao Wen
Neu-PCM: Neural-based potential correlation mining for POI recommendation. Appl. Intell. 53 (9) (2023)
Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen
Meta-prompt based learning for low-resource false information detection. Inf. Process. Manag. 60 (3) (2023)
Cheng Fu, Wei Zhou, Junhao Wen, Xiangxing Guo, Yuhang Chang
Leveraging GCN and User Friendship for Next POI Recommendation. MLNLP (2022)
Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. CoRR (2022)
Zhijian Yang, Junhao Wen, Christos Davatzikos
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. CoRR (2022)
Quanwang Wu, MengChu Zhou, Junhao Wen
Endpoint Communication Contention-Aware Cloud Workflow Scheduling. IEEE Trans Autom. Sci. Eng. 19 (2) (2022)
Yubiao Wang, Junhao Wen, Wei Zhou, Xibin Wang, Quanwang Wu, Bamei Tao
A cloud service recommendation method based on extended multi-source information fusion. Concurr. Comput. Pract. Exp. 34 (10) (2022)
Junhao Wen, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis, Christos Davatzikos
Subtyping brain diseases from imaging data. CoRR (2022)
Guanzhong Liang, Junhao Wen, Wei Zhou
Individual Diversity Preference Aware Neural Collaborative Filtering. Knowl. Based Syst. 258 (2022)
Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen
Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. IJCNN (2022)
Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen
A Flow Prediction Model of Bike-Sharing Based on Cycling Context. CollaborateCom (1) (2022)
Guanzhong Liang, Chuan Sun, Jianing Zhou, Fengji Luo, Junhao Wen, Xiuhua Li
A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network. Mob. Networks Appl. 27 (4) (2022)
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen, Min Gao, Xiuhua Li, Jun Zeng
SocialLGN: Light graph convolution network for social recommendation. Inf. Sci. 589 (2022)
Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75 (2022)
Guanzhong Liang, Jie Liao, Wei Zhou, Junhao Wen
Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. ICWS (2022)
Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng
Multi-interaction fusion collaborative filtering for social recommendation. Expert Syst. Appl. 205 (2022)
Muhammad Mateen, Tauqeer Safdar Malik, Shaukat Hayat, Musab Hameed, Song Sun, Junhao Wen
Deep Learning Approach for Automatic Microaneurysms Detection. Sensors 22 (2) (2022)
Junhai Zhou, Jianyun Lu, Quanwang Wu, Junhao Wen
High-dimensional Feature Selection in Classification: A Length-Adaptive Evolutionary Approach. ICNSC (2022)
Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM (2022)
Xiuhua Li, Chuan Sun, Junhao Wen, Xiaofei Wang, Mohsen Guizani, Victor C. M. Leung
Multi-User QoE Enhancement: Federated Multi-Agent Reinforcement Learning for Cooperative Edge Intelligence. IEEE Netw. 36 (5) (2022)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou, Junhao Wen
BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. EURASIP J. Wirel. Commun. Netw. 2022 (1) (2022)
Tian Cheng, Kunsong Zhao, Song Sun, Muhammad Mateen, Junhao Wen
Effort-aware cross-project just-in-time defect prediction framework for mobile apps. Frontiers Comput. Sci. 16 (6) (2022)
Chuan Lin, Wei Zhou, Junhao Wen
Interest-Aware Contrastive-Learning-Based GCN for Recommendation. IEEE Access 10 (2022)
Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen
Ada: Adversarial learning based data augmentation for malicious users detection. Appl. Soft Comput. 117 (2022)
Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. PAKDD (1) (2022)
Jun Zeng, Juan Yao, Min Gao, Junhao Wen
A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing. J. Cloud Comput. 11 (2022)
Qilin Fan, Pan Pan, Xiuhua Li, Sen Wang, Jian Li, Junhao Wen
DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Sun Song, Bo Zhao, Muhammad Mateen, Xin Chen, Junhao Wen
Mask guided diverse face image synthesis. Frontiers Comput. Sci. 16 (3) (2022)
Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Lasya P. Sreepada, Sai Spandana Chintapalli, Dushyant Sahoo, Ioanna Skampardoni, Konstantina S. Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience. CoRR (2022)
Zhijian Yang, Junhao Wen, Christos Davatzikos
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. ICLR (2022)
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
Recommender systems based on generative adversarial networks: A problem-driven perspective. Inf. Sci. 546 (2021)
Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao
Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. SCC (2021)
Junhao Wen, Jorge Samper-González, Simona Bottani, Alexandre Routier, Ninon Burgos, Thomas Jacquemont, Sabrina Fontanella, Stanley Durrleman, Stéphane Epelbaum, Anne Bertrand, Olivier Colliot
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease. Neuroinformatics 19 (1) (2021)
Qilin Fan, Xiuhua Li, Jian Li, Qiang He, Kai Wang, Junhao Wen
PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. CoRR (2021)
Yafei Dong, Quanwang Wu, Junhao Wen
An improved shuffled frog-leaping algorithm for the minmax multiple traveling salesman problem. Neural Comput. Appl. 33 (24) (2021)
Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Junhao Wen
Improving deep-learning-based fault localization with resampling. J. Softw. Evol. Process. 33 (3) (2021)
Alexandre Routier, Ninon Burgos, Mauricio Diaz-Melo, Michael Bacci, Simona Bottani, Omar El-Rifai, Sabrina Fontanella, Pietro Gori, Jérémy Guillon, Alexis Guyot, Ravi Hassanaly, Thomas Jacquemont, Pascal Lu, Arnaud Marcoux, Tristan Moreau, Jorge Samper-González, Marc Teichmann, Elina Thibeau-Sutre, Ghislain Vaillant, Junhao Wen, Adam Wild, Marie Odile Habert, Stanley Durrleman, Olivier Colliot
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Frontiers Neuroinformatics 15 (2021)
Huan Yang, Song Sun, Junhao Wen, Haini Cai, Muhammad Mateen
Improving Personalized Project Recommendation on GitHub Based on Deep Matrix Factorization. CollaborateCom (1) (2021)
Wentao Li, Min Gao, Fan Wu, Wenge Rong, Junhao Wen, Lu Qin
Manipulating Black-Box Networks for Centrality Promotion. ICDE (2021)
Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, Tiziana Cattai, Raphaël Couronné, Johann Faouzi, Igor Koval, Maxime Louis, Elina Thibeau-Sutre, Junhao Wen, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot, Stanley Durrleman
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 67 (2021)
Shiqi Wang, Min Gao, Zongwei Wang, Jia Wang, Fan Wu, Junhao Wen
Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction. CollaborateCom (1) (2021)
Jun Zeng, Xin He, Haoran Tang, Junhao Wen
Predicting the next location: A self-attention and recurrent neural network model with temporal context. Trans. Emerg. Telecommun. Technol. 32 (6) (2021)
Jun Zeng, Haoran Tang, Yizhu Zhao, Min Gao, Junhao Wen
PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. Mob. Networks Appl. 26 (6) (2021)
Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR (2021)
Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao
Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. IJCNN (2021)
Yu Wang, Wei Zhou, Junhao Wen, Jun Zeng, Haoran He, Lin Liu
GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. ICONIP (2) (2021)
Jia Wang, Min Gao, Zongwei Wang, Runsheng Wang, Junhao Wen
Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. CLOUD (2020)
Zhi-Qiao Zhang, Junhao Wen, Jianing Zhou
DCT: A Deep Collaborative Filtering Approach Based on Content-Text Fused for Recommender Systems. CollaborateCom (1) (2020)
Muhammad Mateen, Junhao Wen, Nasrullah, Sun Song, Shaukat Hayat
Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks. Complex. 2020 (2020)
Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) (2020)
Muhammad Mateen, Junhao Wen, Mehdi Hassan, Nasrullah, Sun Song, Shaukat Hayat
Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics. IEEE Access 8 (2020)
Zhijian Yang, Junhao Wen, Christos Davatzikos
Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images. CoRR (2020)
Yang Yu, Jun Zeng, Juan Yao, Junhao Wen, Bin Xing
Web Service Discovery Based on Knowledge Graph and Similarity Network. SERVICES (2020)
Miao Qin, Yongchuan Tang, Junhao Wen
An Improved Total Uncertainty Measure in the Evidence Theory and Its Application in Decision Making. Entropy 22 (4) (2020)
Quanwang Wu, MengChu Zhou, Qingsheng Zhu, Yunni Xia, Junhao Wen
MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows. IEEE Trans Autom. Sci. Eng. 17 (1) (2020)
Junhao Wen, Elina Thibeau-Sutre, Mauricio Diaz-Melo, Jorge Samper-González, Alexandre Routier, Simona Bottani, Didier Dormont, Stanley Durrleman, Ninon Burgos, Olivier Colliot
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. Medical Image Anal. 63 (2020)
Jun Zeng, Haoran Tang, Junhao Wen
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. ICONIP (3) (2020)
Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Zhou
Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey. IEEE Access 8 (2020)
Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR (2020)

Junhao Wen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Junhao Wen