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2020 – today
- 2025
[j110]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
- [j109]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) - [j108]Tingwei Lu, Xinyu Xiao, Yin Xiao, Junhao Wen:
GTPAN: Global Target Preference Attention Network for session-based recommendation. Expert Syst. Appl. 243: 122900 (2024) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [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. Medical Imaging: 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 - [c43]Jun Zeng, Haoran Tang, Junhao Wen:
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. ICONIP (3) 2020: 420-431 - [c42]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) 2020: 678-687 - [c41]Yang Yu, Jun Zeng, Juan Yao, Junhao Wen, Bin Xing:
Web Service Discovery Based on Knowledge Graph and Similarity Network. SERVICES 2020: 231-236 - [c40]Jing Chen, Shijie Liao, Jiaxin Hou, Kesu Wang, Junhao Wen:
GST-GCN: A Geographic-Semantic-Temporal Graph Convolutional Network for Context-aware Traffic Flow Prediction on Graph Sequences. SMC 2020: 1604-1609 - [c39]Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Xiaofei Wang, Victor C. M. Leung:
Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks. WCNC 2020: 1-6 - [i7]Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong:
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR abs/2003.02474 (2020) - [i6]Zhijian Yang, Junhao Wen, Christos Davatzikos:
Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images. CoRR abs/2006.15255 (2020) - [i5]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR abs/2007.00812 (2020)
2010 – 2019
- 2019
- [b1]Junhao Wen:
Structural and microstructural neuroimaging for diagnosis and tracking of neurodegenerative diseases. (Neuroimagerie structurel et microstructurel pour le diagnostic et le suivi de maladies neurodegeneratives). Pierre and Marie Curie University, Paris, France, 2019 - [j42]Tian Chen, Junhao Wen, Qingyu Xiong, Jun Zeng, Wei Zhou, Xueyuan Cai:
Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition. IEEE Access 7: 62221-62230 (2019) - [j41]Sun Song, Bo Zhao, Xin Chen, Muhammad Mateen, Junhao Wen:
Channel Attention Networks for Image Translation. IEEE Access 7: 95751-95761 (2019) - [j40]Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Zhiyong Tao:
A Cloud Service Selection Method Based on Trust and User Preference Clustering. IEEE Access 7: 110279-110292 (2019) - [j39]Min Gao, Bin Ling, Linda Yang, Junhao Wen, Qingyu Xiong, Shun Li:
From similarity perspective: a robust collaborative filtering approach for service recommendations. Frontiers Comput. Sci. 13(2): 231-246 (2019) - [j38]Yubiao Wang, Junhao Wen, Quanwang Wu, Lei Guo, Bamei Tao:
A dynamic cloud service selection model based on trust and SLA in cloud computing. Int. J. Grid Util. Comput. 10(4): 334-343 (2019) - [j37]Yubiao Wang, Junhao Wen, Wei Zhou:
A trust-based evaluation model for data privacy protection in cloud computing. Int. J. High Perform. Comput. Netw. 14(2): 147-156 (2019) - [j36]Yihao Zhang, Junhao Wen, Zhi Liu, Changpeng Zhu:
A semi-supervised approach of graph-based with local and global consistency. Int. J. Inf. Technol. Manag. 18(2/3): 243-255 (2019) - [j35]Junhao Wen, Yuan Wan, Jun Zeng, Xibin Wang, Guanzhong Liang:
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). 计算机科学 46(7): 327-332 (2019) - [j34]Qi Zhang, Ling Liu, Junhao Wen:
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). 计算机科学 46(10): 27-31 (2019) - [j33]Jun Zeng, Feng Li, Xin He, Junhao Wen:
Fused Collaborative Filtering With User Preference, Geographical and Social Influence for Point of Interest Recommendation. Int. J. Web Serv. Res. 16(4): 40-52 (2019) - [j32]Shun Li, Junhao Wen, Xibin Wang:
From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System. Mob. Inf. Syst. 2019: 8950508:1-8950508:12 (2019) - [j31]Qiude Li, Qingyu Xiong, Shengfen Ji, Junhao Wen, Min Gao, Yang Yu, Rui Xu:
Using fine-tuned conditional probabilities for data transformation of nominal attributes. Pattern Recognit. Lett. 128: 107-114 (2019) - [j30]Yubiao Wang, Junhao Wen, Xibin Wang, Bamei Tao, Wei Zhou:
A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis. Secur. Commun. Networks 2019: 2437062:1-2437062:11 (2019) - [j29]Pengdeng Li, Lu-Xing Yang, Xiaofan Yang, Xiang Zhong, Junhao Wen, Qingyu Xiong:
Energy-Efficient Patching Strategy for Wireless Sensor Networks. Sensors 19(2): 262 (2019) - [j28]Muhammad Mateen, Junhao Wen, Nasrullah, Sun Song, Zhouping Huang:
Fundus Image Classification Using VGG-19 Architecture with PCA and SVD. Symmetry 11(1): 1 (2019) - [c38]Jun Zeng, Xin He, Haoran Tang, Junhao Wen:
A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention. CollaborateCom 2019: 309-322 - [c37]Chuang Song, Junhao Wen, Shun Li:
Personalized POI recommendation based on check-in data and geographical-regional influence. ICMLSC 2019: 128-133 - [c36]Ling Liu, Qi Zhang, Yi Zhang, Junhao Wen:
A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance. ICONIP (5) 2019: 581-588 - [c35]Haoye Tian, Haini Cai, Junhao Wen, Shun Li, Yingqiao Li:
A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting. IJCNN 2019: 1-6 - [c34]Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou:
From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. IJCNN 2019: 1-8 - [c33]Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong:
A Minimax Game for Generative and Discriminative Sample Models for Recommendation. PAKDD (2) 2019: 420-431 - [c32]Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen:
Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1219-1224 - [i4]Junhao Wen, Elina Thibeau-Sutre, Jorge Samper-González, Alexandre Routier, Simona Bottani, Stanley Durrleman, Ninon Burgos, Olivier Colliot:
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation. CoRR abs/1904.07773 (2019) - 2018
- [j27]Shun Li, Junhao Wen, Fengji Luo, Gianluca Ranzi:
Time-Aware QoS Prediction for Cloud Service Recommendation Based on Matrix Factorization. IEEE Access 6: 77716-77724 (2018) - [j26]Arnaud Marcoux, Ninon Burgos, Anne Bertrand, Marc Teichmann, Alexandre Routier, Junhao Wen, Jorge Samper-González, Simona Bottani, Stanley Durrleman, Marie Odile Habert, Olivier Colliot:
An Automated Pipeline for the Analysis of PET Data on the Cortical Surface. Frontiers Neuroinformatics 12: 94 (2018) - [j25]Junhao Wen, Guanghui Sun, Shun Li:
基于用户聚类和移动上下文的矩阵分解推荐算法研究 (Study on Matrix Factorization Recommendation Algorithm Based on User Clustering and Mobile Context). 计算机科学 45(4): 215-219 (2018) - [j24]Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang:
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). 计算机科学 45(10): 196-201 (2018) - [j23]Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot:
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage 183: 504-521 (2018) - [j22]Li Liu, Shu Wang, Bin Hu, Qingyu Xiong, Junhao Wen, David S. Rosenblum:
Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition. Pattern Recognit. 81: 545-561 (2018) - [j21]Pengdeng Li, Xiaofan Yang, Qingyu Xiong, Junhao Wen, Yuan Yan Tang:
Defending against the Advanced Persistent Threat: An Optimal Control Approach. Secur. Commun. Networks 2018: 2975376:1-2975376:14 (2018) - [j20]Jun Zeng, Xin He, Yinghua Li, Junhao Wen, Wei Zhou:
A Point-of-Interest recommendation method using user similarity. Web Intell. 16(2): 105-112 (2018) - [c31]Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen:
Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. ICONIP (3) 2018: 101-113 - [c30]Jiaxin Hou, Jing Chen, Shijie Liao, Junhao Wen, Qingyu Xiong:
Predicting Traffic Flow via Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations. ICPR 2018: 1487-1492 - [c29]Shijie Liao, Jing Chen, Jiaxin Hou, Qingyu Xiong, Junhao Wen:
Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data. IJCNN 2018: 1-6 - [c28]Xiang Zhong, Luxing Yang, Xiaofan Yang, Qingyu Xiong, Junhao Wen, Yuan Yan Tang:
Defending Against Advanced Persistent Threat: A Risk Management Perspective. SciSec 2018: 207-215 - [c27]Yubiao Wang, Junhao Wen, Wei Zhou, Fengji Luo:
A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing. TrustCom/BigDataSE 2018: 10-15 - [i3]Jorge Samper-González, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot, Alzheimer's Disease Neuroimaging Initiative:
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. CoRR abs/1808.06452 (2018) - [i2]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 Alzheimers disease. CoRR abs/1812.11183 (2018) - 2017
- [j19]Li Liu, Shu Wang, Guoxin Su, Bin Hu, Yuxin Peng, Qingyu Xiong, Junhao Wen:
A framework of mining semantic-based probabilistic event relations for complex activity recognition. Inf. Sci. 418: 13-33 (2017) - [j18]Min Gao, Xiang Li, Wenge Rong, Junhao Wen, Qingyu Xiong:
The Performance of Location Aware Shilling Attacks in Web Service Recommendation. Int. J. Web Serv. Res. 14(3): 53-66 (2017) - [j17]Jun Zeng, Feng Li, Yinghua Li, Junhao Wen, Yingbo Wu:
Exploring the Influence of Contexts for Mobile Recommendation. Int. J. Web Serv. Res. 14(4): 33-49 (2017) - [j16]Fengji Luo, Zhao Yang Dong, Ke Meng, Junhao Wen, Haiming Wang, Junhua Zhao:
An Operational Planning Framework for Large-Scale Thermostatically Controlled Load Dispatch. IEEE Trans. Ind. Informatics 13(1): 217-227 (2017) - [j15]Shun Li, Junhao Wen, Fengji Luo, Min Gao, Jun Zeng, Zhao Yang Dong:
A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side. IEEE Trans. Netw. Serv. Manag. 14(2): 332-342 (2017) - [j14]Quanwang Wu, Fuyuki Ishikawa, Qingsheng Zhu, Yunni Xia, Junhao Wen:
Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds. IEEE Trans. Parallel Distributed Syst. 28(12): 3401-3412 (2017) - [c26]Jun Zeng, Feng Li, Junhao Wen, Wei Zhou:
A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks. CollaborateCom 2017: 232-242 - [c25]Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong:
PUD: Social Spammer Detection Based on PU Learning. ICONIP (5) 2017: 177-185 - [c24]Shun Li, Junhao Wen, Fengji Luo, Tian Cheng, Qingyu Xiong:
A Location and Reputation Aware Matrix Factorization Approach for Personalized Quality of Service Prediction. ICWS 2017: 652-659 - [c23]Jun Zeng, Yinghua Li, Feng Li, Junhao Wen, Sachio Hirokawa:
A Point-of-Interest Recommendation Method Using Location Similarity. IIAI-AAI 2017: 436-440 - [c22]Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou:
Social recommendation using Euclidean embedding. IJCNN 2017: 589-595 - [i1]Pengdeng Li, Luxing Yang, Xiaofan Yang, Qingyu Xiong, Junhao Wen, Yuan Yan Tang:
Defend against advanced persistent threats: An optimal control approach. CoRR abs/1709.02891 (2017) - 2016
- [j13]Xibin Wang, Junhao Wen, Shafiq Alam, Zhuo Jiang, Yingbo Wu:
Semi-supervised learning combining transductive support vector machine with active learning. Neurocomputing 173: 1288-1298 (2016) - [j12]Wei Zhou, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng:
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems. Neurocomputing 210: 197-205 (2016) - [j11]Junhao Wen, Bo He, Yuanpeng Hu:
基于社交网络用户信任度的混合推荐算法研究 (Hybrid Recommendation Algorithm Based on User's Trust in Social Networks). 计算机科学 43(1): 255-258 (2016) - [j10]Haini Cai, Mengqiu Qin, Junhao Wen, Qingyu Xiong, Maoliang Li:
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). 计算机科学 43(4): 210-213 (2016) - [j9]Haini Cai, Cheng Chen, Junhao Wen, Xibin Wang, Jun Zeng:
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). 计算机科学 43(12): 163-167 (2016) - [c21]Wei Zhou, Junhao Wen, Qingyu Xiong, Jun Zeng, Ling Liu, Haini Cai, Tian Chen:
Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series. CollaborateCom 2016: 373-383 - [c20]Feng Jiang, Min Gao, Qingyu Xiong, Junhao Wen, Yi Zhang:
Robust Social Recommendation Techniques: A Review. ICISO 2016: 53-58 - [c19]Xiang Li, Min Gao, Wenge Rong, Qingyu Xiong, Junhao Wen:
Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems. ICWS 2016: 538-545 - [c18]Jun Zeng, Feng Li, Haiyang Liu, Junhao Wen, Sachio Hirokawa:
A Restaurant Recommender System Based on User Preference and Location in Mobile Environment. IIAI-AAI 2016: 55-60 - [c17]Yi Zhang, Junhao Wen, Jun Zeng, Qingyu Xiong:
Design Method and Information Representation for Computer Aided Welding Fixture Design. IIAI-AAI 2016: 61-64 - [c16]Wentao Li, Min Gao, Hua Li, Qingyu Xiong, Junhao Wen, Zhongfu Wu:
Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning. IJCNN 2016: 3130-3137 - [c15]Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Bin Ling:
LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning. KSEM 2016: 439-450 - [c14]Junhao Wen, Guanghui Sun, Fengji Luo:
Data Driven Development Trend Analysis of Mainstream Information Technologies. ICSS 2016: 39-45 - 2015
- [j8]Zhuo Jiang, Junhao Wen, Jun Zeng, Yihao Zhang, Xibin Wang, Sachio Hirokawa:
Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis. IEICE Trans. Inf. Syst. 98-D(2): 363-371 (2015) - [j7]Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang:
Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning. J. Intell. Inf. Syst. 45(1): 113-130 (2015) - [c13]Xibin Wang, Junhao Wen, Fengji Luo, Wei Zhou, Haijun Ren:
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization. KSEM 2015: 489-495 - [c12]Wei Zhou, Junhao Wen, Min Gao, Ling Liu, Haini Cai, Xibin Wang:
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems. KSEM 2015: 751-763 - 2014
- [j6]Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang:
Semi-supervised learning combining co-training with active learning. Expert Syst. Appl. 41(5): 2372-2378 (2014) - [c11]Jun Zeng, Min Gao, Junhao Wen, Sachio Hirokawa:
A Hybrid Trust Degree Model in Social Network for Recommender System. IIAI-AAI 2014: 37-41 - [c10]Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie:
Attack detection in recommender systems based on target item analysis. IJCNN 2014: 332-339 - [c9]Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie:
Detection of abnormal profiles on group attacks in recommender systems. SIGIR 2014: 955-958 - 2013
- [j5]Pan He, Kaigui Wu, Jie Xu, Junhao Wen, Zhuo Jiang:
Multilevel redundancy allocation using two dimensional arrays encoding and hybrid genetic algorithm. Comput. Ind. Eng. 64(1): 69-83 (2013) - [j4]Peng Li, Junhao Wen, Junping Dong:
S2Net: A New Service Description Model based on Heterogeneous Service Network. J. Softw. 8(2): 404-409 (2013) - [c8]Jun Zeng, Brendan Flanagan, Qingyu Xiong, Junhao Wen, Sachio Hirokawa:
Proposal of Seam Degree and Content Similarity for Web Page Segmentation. IIAI-AAI 2013: 9-14 - [c7]Peng Li, Ling Chen, Xue Li, Junhao Wen:
RNRank: Network-Based Ranking on Relational Tuples. BSI@PAKDD/BSIC@IJCAI 2013: 139-150 - 2012
- [j3]Yihao Zhang, Junhao Wen, Fangfang Tang, Zhuo Jiang:
Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence. Int. J. Pattern Recognit. Artif. Intell. 26(7) (2012) - [j2]Pan He, Junhao Wen, Kaigui Wu, Peng Li, Haijun Ren:
Multi-objective Service Monitoring Rate Optimization using Memetic Algorithm. J. Softw. 7(5): 990-997 (2012) - [c6]Jun Zeng, Qingyu Xiong, Junhao Wen, Sachio Hirokawa:
Extraction of Relevant Snippets from Web Pages Using Hybrid Features. IIAI-AAI 2012: 209-213 - 2011
- [c5]Pan He, Kaigui Wu, Junhao Wen, Jie Xu:
Monitoring Resources Allocation for Service Composition Under Different Monitoring Mechanisms. CISIS 2011: 263-270 - [c4]Peng Li, Junhao Wen, Junping Dong, Fangfang Tang:
An Approach of Authentication Base on Modified Digital Identity Metasystem in Service-Oriented Architecture. WISM (1) 2011: 304-311
2000 – 2009
- 2006
- [j1]Junhao Wen, Hongyan Wu, Zhongfu Wu, Yuanyan Tang, Guanghui He:
Clustering Algorithm Research Based on Self-organizing Feature Maps Networks. Int. J. Pattern Recognit. Artif. Intell. 20(7): 985-1000 (2006) - 2005
- [c3]Zhong Qu, Junhao Wen, Dan Yang, Ling Xu, Yu Wu:
ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining. ADMA 2005: 407-414 - [c2]Zhong Qu, Junhao Wen, Dan Yang, Yu Wu:
Algebraic reconstruction technique in image reconstruction with narrow fan-beam. GrC 2005: 622-625 - [c1]Junhao Wen, Kaiwen Meng, Hongyan Wu, Zhongfu Wu:
A Novel Clustering Algorithm Based upon a SOFM Neural Network Family. ISNN (2) 2005: 69-74
Coauthor Index
[j109] [j107] [j105] [j101] [c68] [i15] [j98] [j95] [j94] [j93] [j92] [j89] [j88] [j87] [j85] [j84] [j82] [j80] [c65] [c64] [j73] [j72] [j71] [j70] [j69] [j66] [j64] [c59] [c56] [c55] [c54] [c53] [c52] [c48] [c47] [j48] [j42] [j40] [j37] [j30] [c34] [j20] [c27] [c26] [j12] [c21] [c13] [c12] [c10] [c9]
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