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2020 – today
- 2025
[j113]Wei Zhou, Xianyi Zhang, Junhao Wen, Xibin Wang:
Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation. Expert Syst. Appl. 264: 125812 (2025)- [j112]Jun Zeng, Hongjin Tao, Haoran Tang, Junhao Wen
, Min Gao:
Global and local hypergraph learning method with semantic enhancement for POI recommendation. Inf. Process. Manag. 62(1): 103868 (2025) - 2024
- [j111]Hongyu Wang, Wei Zhou, Junhao Wen, Shutong Qiao:
Multiple hypergraph convolutional network social recommendation using dual contrastive learning. Data Min. Knowl. Discov. 38(4): 1929-1957 (2024) - [j110]Tingwei Lu, Xinyu Xiao, Yin Xiao, Junhao Wen:
GTPAN: Global Target Preference Attention Network for session-based recommendation. Expert Syst. Appl. 243: 122900 (2024) - [j109]Lin Zhong, Jun Zeng, Ziwei Wang, Wei Zhou, Junhao Wen:
SCFL: Spatio-temporal consistency federated learning for next POI recommendation. Inf. Process. Manag. 61(6): 103852 (2024) - [j108]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: 121004 (2024) - [j107]Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou:
SFL: A semantic-based federated learning method for POI recommendation. Inf. Sci. 679: 121057 (2024) - [j106]Bo Liu, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou:
CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. Knowl. Based Syst. 305: 112607 (2024) - [j105]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: 103231 (2024) - [j104]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: e1983 (2024) - [j103]Qingliang Zhang, Quanwang Wu, MengChu Zhou, Junhao Wen, Siya Yao:
A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds. IEEE Trans Autom. Sci. Eng. 21(4): 7040-7051 (2024) - [j102]Chuan Sun, Xiongwei Wu, Xiuhua Li, Qilin Fan, Junhao Wen, Victor C. M. Leung:
Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic. IEEE Trans. Netw. Sci. Eng. 11(6): 5601-5614 (2024) - [j101]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): 921-933 (2024) - [j100]Xinyue Shu, Quanwang Wu, MengChu Zhou, Junhao Wen:
A Communication-Contention-Aware Privacy-Preserving Workflow Scheduling Method for Geo-Distributed Datacenters. IEEE Trans. Serv. Comput. 17(5): 1887-1898 (2024) - [c69]Jun Zeng, Junhao Wen, Bin Cai, Qian Xiao:
Research on Collaborative Innovation Ability Training of Software Engineering Talents Based on the Industry-Education Integration. SSE 2024: 236-242 - [c68]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: 287-299 - [c67]Ioanna Skampardoni, Junhao Wen, Güray Erus, Haochang Shou, Konstantina S. Nikita, Christos Davatzikos:
Mutually-Constrained Cross-Sectional and Longitudinal Non-Negative Matrix Factorization: Application to Modeling Brain Aging Trajectories. ISBI 2024: 1-5 - [c66]Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen:
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. ISBI 2024: 1-5 - [i16]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 abs/2401.09517 (2024) - [i15]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 abs/2402.13840 (2024) - 2023
- [j99]Jun Zeng, Haoran Tang, Yizhu Zhao, Junhao Wen:
Neu-PCM: Neural-based potential correlation mining for POI recommendation. Appl. Intell. 53(9): 10685-10698 (2023) - [j98]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: 110754 (2023) - [j97]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): 119026 (2023) - [j96]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: 120291 (2023) - [j95]Yuhang Chang, Wei Zhou, Junhao Wen:
IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. Expert Syst. Appl. 228: 120321 (2023) - [j94]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): 120410 (2023) - [j93]Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou:
Point-of-interest Recommendation using Deep Semantic Model. Expert Syst. Appl. 231: 120727 (2023) - [j92]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): 691-708 (2023) - [j91]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): 1834-1844 (2023) - [j90]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): 103279 (2023) - [j89]Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao:
Enhancing sequential recommendation with contrastive Generative Adversarial Network. Inf. Process. Manag. 60(3): 103331 (2023) - [j88]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): 103353 (2023) - [j87]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): 103517 (2023) - [j86]Yanlu Gong, Quanwang Wu, Mengchu Zhou, Junhao Wen:
Self-paced multi-label co-training. Inf. Sci. 622: 269-281 (2023) - [j85]Xinyu Xiao, Wei Zhou, Junhao Wen:
LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network. Inf. Sci. 642: 119138 (2023) - [j84]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): 8405-8427 (2023) - [j83]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): 690-705 (2023) - [j82]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: 110284 (2023) - [j81]Yang Yu, Jun Zeng, Lin Zhong, Min Gao, Junhao Wen, Yingbo Wu:
Multi-views contrastive learning for dense text retrieval. Knowl. Based Syst. 274: 110624 (2023) - [j80]Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen:
Enhanced contrastive learning with multi-aspect information for recommender systems. Knowl. Based Syst. 277: 110825 (2023) - [j79]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: 119898 (2023) - [j78]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: 119911 (2023) - [j77]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: 120346 (2023) - [j76]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): 6858-6869 (2023) - [j75]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): 6941-6956 (2023) - [j74]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): 92:1-92:34 (2023) - [c65]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: 473-482 - [c64]Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao:
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. CIKM 2023: 2075-2084 - [c63]Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen:
Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. ICWS 2023: 84-90 - [c62]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. Image Processing 2023 - [c61]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: 690-703 - [i14]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 abs/2301.10772 (2023) - 2022
- [j73]Chuan Lin, Wei Zhou, Junhao Wen:
Interest-Aware Contrastive-Learning-Based GCN for Recommendation. IEEE Access 10: 126315-126325 (2022) - [j72]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: 108414 (2022) - [j71]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) - [j70]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): 53 (2022) - [j69]Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng:
Multi-interaction fusion collaborative filtering for social recommendation. Expert Syst. Appl. 205: 117610 (2022) - [j68]Sun Song, Bo Zhao, Muhammad Mateen, Xin Chen, Junhao Wen:
Mask guided diverse face image synthesis. Frontiers Comput. Sci. 16(3): 163311 (2022) - [j67]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): 166207 (2022) - [j66]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: 595-607 (2022) - [j65]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: 66 (2022) - [j64]Guanzhong Liang, Junhao Wen, Wei Zhou:
Individual Diversity Preference Aware Neural Collaborative Filtering. Knowl. Based Syst. 258: 109730 (2022) - [j63]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: 102304 (2022) - [j62]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): 1629-1641 (2022) - [j61]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): 144-151 (2022) - [j60]Muhammad Mateen, Tauqeer Safdar Malik, Shaukat Hayat, Musab Hameed, Song Sun, Junhao Wen:
Deep Learning Approach for Automatic Microaneurysms Detection. Sensors 22(2): 542 (2022) - [j59]Quanwang Wu, MengChu Zhou, Junhao Wen:
Endpoint Communication Contention-Aware Cloud Workflow Scheduling. IEEE Trans Autom. Sci. Eng. 19(2): 1137-1150 (2022) - [j58]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): 4531-4545 (2022) - [c60]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: 541-548 - [c59]Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen:
A Flow Prediction Model of Bike-Sharing Based on Cycling Context. CollaborateCom (1) 2022: 73-92 - [c58]Zhijian Yang, Junhao Wen, Christos Davatzikos:
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. ICLR 2022 - [c57]Junhai Zhou, Jianyun Lu, Quanwang Wu, Junhao Wen:
High-dimensional Feature Selection in Classification: A Length-Adaptive Evolutionary Approach. ICNSC 2022: 1-5 - [c56]Guanzhong Liang, Jie Liao, Wei Zhou, Junhao Wen:
Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. ICWS 2022: 27-36 - [c55]Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen:
Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. IJCNN 2022: 1-8 - [c54]Cheng Fu, Wei Zhou, Junhao Wen, Xiangxing Guo, Yuhang Chang:
Leveraging GCN and User Friendship for Next POI Recommendation. MLNLP 2022: 222-228 - [c53]Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang:
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. PAKDD (1) 2022: 81-92 - [i13]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 abs/2202.10945 (2022) - [i12]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 abs/2203.08912 (2022) - [i11]Zhijian Yang, Junhao Wen, Christos Davatzikos:
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. CoRR abs/2205.04523 (2022) - [i10]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 abs/2206.07081 (2022) - 2021
- [j57]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) - [j56]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: 689675 (2021) - [j55]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: 1166-1185 (2021) - [j54]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: 101848 (2021) - [j53]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): 2434-2444 (2021) - [j52]Yafei Dong, Quanwang Wu, Junhao Wen:
An improved shuffled frog-leaping algorithm for the minmax multiple traveling salesman problem. Neural Comput. Appl. 33(24): 17057-17069 (2021) - [j51]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): 57-78 (2021) - [j50]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) - [j49]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): 1746-1757 (2021) - [c52]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: 71-78 - [c51]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: 138-155 - [c50]Huan Yang, Song Sun, Junhao Wen, Haini Cai, Muhammad Mateen:
Improving Personalized Project Recommendation on GitHub Based on Deep Matrix Factorization. CollaborateCom (1) 2021: 318-332 - [c49]Wentao Li, Min Gao, Fan Wu, Wenge Rong, Junhao Wen, Lu Qin:
Manipulating Black-Box Networks for Centrality Promotion. ICDE 2021: 73-84 - [c48]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: 548-559 - [c47]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: 1-8 - [i9]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 abs/2102.12582 (2021) - [i8]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 abs/2110.11347 (2021) - 2020
- [j48]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: 47118-47132 (2020) - [j47]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: 48784-48811 (2020) - [j46]Muhammad Mateen, Junhao Wen, Nasrullah, Sun Song, Shaukat Hayat:
Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks. Complex. 2020: 5801870:1-5801870:11 (2020) - [j45]Miao Qin, Yongchuan Tang, Junhao Wen:
An Improved Total Uncertainty Measure in the Evidence Theory and Its Application in Decision Making. Entropy 22(4): 487 (2020) - [j44]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: 101694 (2020) - [j43]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): 166-176 (2020) - [c46]Jia Wang, Min Gao, Zongwei Wang, Runsheng Wang, Junhao Wen:
Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. CLOUD 2020: 557-565 - [c45]Zhi-Qiao Zhang, Junhao Wen, Jianing Zhou:
DCT: A Deep Collaborative Filtering Approach Based on Content-Text Fused for Recommender Systems. CollaborateCom (1) 2020: 392-405 - [c44]Hui Li, Chuan Sun, Xiuhua Li, Qingyu Xiong, Junhao Wen, Xiaofei Wang, Victor C. M. Leung:
Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks. GLOBECOM 2020: 1-6