Junhao Wen - RankMe

192 papers A* 2A 6B 14C 8Misc 1Journal 132Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AGSRec: Mitigating popularity bias via attraction-aware graph and semantic enhancement for POI recommendations. Expert Syst. Appl. Bo Liu, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou
2026	J	`jnl`	Adaptive Fusion of Dual-Scale Preference Disentanglement for Next POI Recommendation. IEEE Access Qing Zhang, Sizhe Zeng, Yingru Chen, Guanghui Sun, Junhao Wen
2026	J	`jnl`	DCE-MBR: Multi-behavior recommendation via hierarchical denoising and cascade enhancement. Expert Syst. Appl. Shuangdi Ma, Wei Zhou, Jun Zeng, Junhao Wen, Luwen Huangfu
2026	J	`jnl`	Double Enhancement Framework for Long-Tail Recommendation. IEEE Trans. Knowl. Data Eng. Jie Liao, Wei Zhou, Junhao Wen, Min Gao, Jun Zeng, Min Yang
2026	J	`jnl`	FedKG: Federated POI recommendation via generative knowledge distillation against spatial heterogeneity. Expert Syst. Appl. Lin Zhong, Jun Zeng, Ziwei Wang, Haoran Tang, Junhao Wen
2026	J	`jnl`	Generalizable zero-shot home energy management via representation learning and behavioral cloning. Appl. Soft Comput. Xiao Du, Fengji Luo, Juntao Hu, Wei Zhou, Junhao Wen
2026	J	`jnl`	Hierarchical contrastive frequency-enhanced polynomial graph collaborative filtering for recommendation. Neurocomputing Hu Liu, Chunhui Han, Wei Zhou, Junhao Wen
2026	J	`jnl`	MSCF-net: Multi-scale frequency denoising and co-frequency enhancement network for multimodal recommendation. Expert Syst. Appl. Chenghao Li, Wei Zhou, Yihao Zhang, Jiahao Hu, Huayi Shen, Junhao Wen
2026	J	`jnl`	Multi-Scale Transformers with dual attention and adaptive masking for sequential recommendation. Inf. Process. Manag. Haiqin Li, Yuhan Yang, Jun Zeng, Min Gao, Junhao Wen
2026	J	`jnl`	Multi-channel next point-of-interest recommendation with user multi-dimensional preferences. Expert Syst. Appl. Qi Zhang, Qing Zhang, Jin Xu, Wei Zhou, Junhao Wen
2026	J	`jnl`	Multi-cluster division fine-grained heterogeneous graph contrastive learning for multi-behavior recommendation. Expert Syst. Appl. Shuhui Shan, Chunhui Han, Wei Zhou, Guanghui Sun, Junhao Wen
2026	J	`jnl`	Multi-granularity preference enhancement with hierarchical feature extraction for session-based recommendations. Neural Networks Yongjian Zhou, Wei Zhou, Luwen Huangfu, Jun Zeng, Tingyue He, Junhao Wen
2026	J	`jnl`	Multi-scale hypergraph representation learning with channel attention for next POI recommendation. Neurocomputing Qilin Zhou, Jinkang Ye, Wei Zhou, Junhao Wen
2026	J	`jnl`	Representation-Enhanced Cascading Multi-Level Interest Learning for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. Hu Liu, Xiao Huang, Wei Zhou, Fengji Luo, Junhao Wen, Hongyu Zhang
2025	J	`jnl`	Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation. CoRR Wuhan Chen, Zongwei Wang, Min Gao, Xin Xia, Feng Jiang, Junhao Wen
2025	J	`jnl`	Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks. IEEE Trans. Comput. Soc. Syst. Wei Zhou, Chenzhan Wang, Fengji Luo, Yu Wang, Min Gao, Junhao Wen
2025	J	`jnl`	DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. IEEE Trans. Serv. Comput. Yue Li, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou
2025	J	`jnl`	Disentangling Long- and Short-term Preferences Based on Latent Commonalities Enhancement for Next Point-of-Interest Recommendation. Expert Syst. Appl. Qing Zhang, Xiao Huang, Qi Zhang, Wei Zhou, Junhao Wen
2025	J	`jnl`	Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation. CoRR Tao Huang, Yihong Chen, Wei Fan, Wei Zhou, Junhao Wen
2025	—	`conf`	Dual-Perspective Modeling: Interest Trend-Detection and Diversity-Aware for Multi-behavior Sequential Recommendation. ICIC (19) Peixuan Sun, Zhida Zheng, Yuhan Yang, Wei Zhou, Junhao Wen
2025	J	`jnl`	Dynamically Scheduling Deadline-Constrained Interleaved Workflows on Heterogeneous Computing Systems. IEEE Trans. Serv. Comput. Kun Cai, Quanwang Wu, MengChu Zhou, Chao Chen, Junhao Wen, Shouguang Wang
2025	J	`jnl`	Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation. Knowl. Based Syst. Jun Zeng, Hongjin Tao, Junhao Wen, Min Gao
2025	J	`jnl`	FedHGS: A Federated Point-of-Interest Recommendation Method Based on Heterogeneous Graph Semantics. IEEE Trans. Serv. Comput. Xunan Dong, Jun Zeng, Lin Zhong, Haoran Tang, Junhao Wen, Min Gao
2025	J	`jnl`	Gated Rotary-Enhanced Linear Attention for Long-term Sequential Recommendation. CoRR Juntao Hu, Wei Zhou, Huayi Shen, Xiao Du, Jie Liao, Junhao Wen, Min Gao
2025	J	`jnl`	Global and local hypergraph learning method with semantic enhancement for POI recommendation. Inf. Process. Manag. Jun Zeng, Hongjin Tao, Haoran Tang, Junhao Wen, Min Gao
2025	—	`conf`	Global-Local Collaborative Learning for Intent-Aware Sequential Recommendation. ICIC (8) Xuhan Zhou, Qitong Zhao, Wei Zhou, Junhao Wen
2025	J	`jnl`	HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model. IEEE Trans. Serv. Comput. Yinchen Pan, Jun Zeng, Ziwei Wang, Haoran Tang, Junhao Wen, Min Gao
2025	J	`jnl`	Integrating Functional and Structural Semantics for Web API Recommendation via Multi Meta-Path Aggregation. IEEE Trans. Serv. Comput. Chunyan Sang, Yahao Liu, Shigen Liao, Junhao Wen
2025	J	`jnl`	Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation. Expert Syst. Appl. Wei Zhou, Xianyi Zhang, Junhao Wen, Xibin Wang
2025	J	`jnl`	Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. Knowl. Based Syst. Shuang Ni, Wei Zhou, Fengji Luo, Yihao Zhang, Jun Zeng, Junhao Wen
2025	J	`jnl`	Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation. IEEE Trans. Serv. Comput. Junhui Niu, Wei Zhou, Fengji Luo, Yihao Zhang, Jun Zeng, Junhao Wen
2025	J	`jnl`	Learning robust travel preferences via check-in masking for next POI recommendation. Expert Syst. Appl. Chenghua Duan, Junhao Wen, Wei Zhou, Jun Zeng, Yihao Zhang
2025	J	`jnl`	Multi-task intent recommendation based on dynamic and static intent integration and disentanglement. Intell. Data Anal. Xiao Huang, Xianyi Zhang, Tao Huang, Lin Liu, Junhao Wen
2025	J	`jnl`	Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. ACM Trans. Inf. Syst. Shutong Qiao, Wei Zhou, Junhao Wen, Chen Gao, Qun Luo, Peixuan Chen, Yong Li
2025	J	`jnl`	Multi-view collaborative signal fusion and representation property optimization for recommendation. Eng. Appl. Artif. Intell. Pengfan Chen, Wei Zhou, Yao Chang, Jun Zeng, Junhao Wen
2025	J	`jnl`	Next PoI Recommendation Based on Graph Convolutional Networks and Multiple Context-Awareness. IEEE Trans. Serv. Comput. Wei Zhou, Cheng Fu, Chunyan Sang, Min Gao, Junhao Wen
2025	J	`jnl`	Simplified self-supervised learning for hybrid propagation graph-based recommendation. Neural Networks Jianing Zhou, Jie Liao, Xi Zhu, Junhao Wen, Wei Zhou
2025	J	`jnl`	Spatio-Temporal Intent Modeling for Sequential Recommendation. IEEE Trans. Serv. Comput. Huayi Shen, Wei Zhou, Fengji Luo, Xuhan Zhou, Jun Zeng, Junhao Wen
2025	J	`jnl`	User multi-dimensional prior preferences adaptive balancing based next POI recommendation. Knowl. Inf. Syst. Chenghua Duan, Wei Zhou, Yuhang He, Junhao Wen
2024	J	`jnl`	A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds. IEEE Trans Autom. Sci. Eng. Qingliang Zhang, Quanwang Wu, MengChu Zhou, Junhao Wen, Siya Yao
2024	J	`jnl`	A Communication-Contention-Aware Privacy-Preserving Workflow Scheduling Method for Geo-Distributed Datacenters. IEEE Trans. Serv. Comput. Xinyue Shu, Quanwang Wu, MengChu Zhou, Junhao Wen
2024	B	`conf`	ALGIN: Adaptive Local and Global Interests Network for Click-Through Rate Prediction. SMC Yingjia Xiang, Xuanyu Lu, Wei Zhou, Junhao Wen
2024	—	`conf`	Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning. ICIC (13) Hu Liu, Xuanyu Lu, Wei Zhou, Junhao Wen
2024	C	`conf`	Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features. APSEC Xinyu Zhang, Zixin Chang, Li Li, Wei Zhou, Junhao Wen
2024	J	`jnl`	CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. Knowl. Based Syst. Bo Liu, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2024	J	`jnl`	Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic. IEEE Trans. Netw. Sci. Eng. Chuan Sun, Xiongwei Wu, Xiuhua Li, Qilin Fan, Junhao Wen, Victor C. M. Leung
2024	J	`jnl`	DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. Inf. Sci. Ziwei Wang, Jun Zeng, Lin Zhong, Ling Liu, Min Gao, Junhao Wen
2024	J	`jnl`	Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning. IEEE Trans. Serv. Comput. Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen
2024	J	`jnl`	GTPAN: Global Target Preference Attention Network for session-based recommendation. Expert Syst. Appl. Tingwei Lu, Xinyu Xiao, Yin Xiao, Junhao Wen
2024	J	`jnl`	LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. CoRR Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li
2024	J	`jnl`	Multiple hypergraph convolutional network social recommendation using dual contrastive learning. Data Min. Knowl. Discov. Hongyu Wang, Wei Zhou, Junhao Wen, Shutong Qiao
2024	—	`conf`	Research on Collaborative Innovation Ability Training of Software Engineering Talents Based on the Industry-Education Integration. SSE Jun Zeng, Junhao Wen, Bin Cai, Qian Xiao
2024	J	`jnl`	SCFL: Spatio-temporal consistency federated learning for next POI recommendation. Inf. Process. Manag. Lin Zhong, Jun Zeng, Ziwei Wang, Wei Zhou, Junhao Wen
2024	J	`jnl`	SFL: A semantic-based federated learning method for POI recommendation. Inf. Sci. Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2023	J	`jnl`	A Length-Adaptive Non-Dominated Sorting Genetic Algorithm for Bi-Objective High-Dimensional Feature Selection. IEEE CAA J. Autom. Sinica Yanlu Gong, Junhai Zhou, Quanwang Wu, MengChu Zhou, Junhao Wen
2023	A	`conf`	Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. CIKM Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao
2023	A	`conf`	CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. CIKM Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen
2023	—	`conf`	DAAL: Domain Adversarial Active Learning Based on Dual Features for Rumor Detection. NLPCC (2) Chaoran Zhang, Min Gao, Yinqiu Huang, Feng Jiang, Jia Wang, Junhao Wen
2023	J	`jnl`	Deep adaptive collaborative graph neural network for social recommendation. Expert Syst. Appl. Liping Wang, Wei Zhou, Ling Liu, Zhengyi Yang, Junhao Wen
2023	J	`jnl`	Enhanced contrastive learning with multi-aspect information for recommender systems. Knowl. Based Syst. Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen
2023	J	`jnl`	Enhancing sequential recommendation with contrastive Generative Adversarial Network. Inf. Process. Manag. Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao
2023	J	`jnl`	Feature-based POI grouping with transformer for next point of interest recommendation. Appl. Soft Comput. Yuhang He, Wei Zhou, Fengji Luo, Min Gao, Junhao Wen
2023	J	`jnl`	Federated Deep Reinforcement Learning for Recommendation-Enabled Edge Caching in Mobile Edge-Cloud Computing Networks. IEEE J. Sel. Areas Commun. Chuan Sun, Xiuhua Li, Junhao Wen, Xiaofei Wang, Zhu Han, Victor C. M. Leung
2023	J	`jnl`	Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification. IEEE Trans. Knowl. Data Eng. Fuyuan Xiao, Junhao Wen, Witold Pedrycz
2023	J	`jnl`	IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. Expert Syst. Appl. Yuhang Chang, Wei Zhou, Junhao Wen
2023	J	`jnl`	LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification. IEEE Trans. Cybern. Junhai Zhou, Quanwang Wu, MengChu Zhou, Junhao Wen, Yusuf Al-Turki, Abdullah Abusorrah
2023	J	`jnl`	LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. Expert Syst. Appl. Jun Zeng, Yizhu Zhao, Ziwei Wang, Hongjin Tao, Min Gao, Junhao Wen
2023	J	`jnl`	LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network. Inf. Sci. Xinyu Xiao, Wei Zhou, Junhao Wen
2023	J	`jnl`	Meta-prompt based learning for low-resource false information detection. Inf. Process. Manag. Yinqiu Huang, Min Gao, Jia Wang, Junwei Yin, Kai Shu, Qilin Fan, Junhao Wen
2023	J	`jnl`	Meta-relation assisted knowledge-aware coupled graph neural network for recommendation. Inf. Process. Manag. Yao Chang, Wei Zhou, Haini Cai, Wei Fan, Linfeng Hu, Junhao Wen
2023	J	`jnl`	Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems. Intell. Data Anal. Linfeng Hu, Junhao Wen, Hanwen Zhang, Wei Zhou, Hongyu Wang
2023	J	`jnl`	Multi-perspective enhanced representation for effective session-based recommendation. Knowl. Based Syst. Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni
2023	J	`jnl`	Multi-views contrastive learning for dense text retrieval. Knowl. Based Syst. Yang Yu, Jun Zeng, Lin Zhong, Min Gao, Junhao Wen, Yingbo Wu
2023	J	`jnl`	Neu-PCM: Neural-based potential correlation mining for POI recommendation. Appl. Intell. Jun Zeng, Haoran Tang, Yizhu Zhao, Junhao Wen
2023	A	`conf`	Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. ICWS Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen
2023	J	`jnl`	Noise-reducing graph neural network with intent-target co-action for session-based recommendation. Inf. Process. Manag. Shutong Qiao, Wei Zhou, Fengji Luo, Junhao Wen
2023	J	`jnl`	Personalized Dynamic Attention Multi-task Learning model for document retrieval and query generation. Expert Syst. Appl. Jun Zeng, Yang Yu, Junhao Wen, Wenying Jiang, Luxi Cheng
2023	J	`jnl`	Point-of-interest Recommendation using Deep Semantic Model. Expert Syst. Appl. Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2023	J	`jnl`	Self-paced multi-label co-training. Inf. Sci. Yanlu Gong, Quanwang Wu, MengChu Zhou, Junhao Wen
2023	J	`jnl`	The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. ACM Trans. Softw. Eng. Methodol. Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
2022	—	`conf`	A Flow Prediction Model of Bike-Sharing Based on Cycling Context. CollaborateCom (1) Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen
2022	J	`jnl`	A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network. Mob. Networks Appl. Guanzhong Liang, Chuan Sun, Jianing Zhou, Fengji Luo, Junhao Wen, Xiuhua Li
2022	J	`jnl`	A cloud service recommendation method based on extended multi-source information fusion. Concurr. Comput. Pract. Exp. Yubiao Wang, Junhao Wen, Wei Zhou, Xibin Wang, Quanwang Wu, Bamei Tao
2022	J	`jnl`	A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing. J. Cloud Comput. Jun Zeng, Juan Yao, Min Gao, Junhao Wen
2022	J	`jnl`	Ada: Adversarial learning based data augmentation for malicious users detection. Appl. Soft Comput. Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen
2022	J	`jnl`	BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. EURASIP J. Wirel. Commun. Netw. Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou, Junhao Wen
2022	J	`jnl`	DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. Qilin Fan, Pan Pan, Xiuhua Li, Sen Wang, Jian Li, Junhao Wen
2022	J	`jnl`	Deep Learning Approach for Automatic Microaneurysms Detection. Sensors Muhammad Mateen, Tauqeer Safdar Malik, Shaukat Hayat, Musab Hameed, Song Sun, Junhao Wen
2022	J	`jnl`	Effort-aware cross-project just-in-time defect prediction framework for mobile apps. Frontiers Comput. Sci. Tian Cheng, Kunsong Zhao, Song Sun, Muhammad Mateen, Junhao Wen
2022	J	`jnl`	Endpoint Communication Contention-Aware Cloud Workflow Scheduling. IEEE Trans Autom. Sci. Eng. Quanwang Wu, MengChu Zhou, Junhao Wen
2022	—	`conf`	High-dimensional Feature Selection in Classification: A Length-Adaptive Evolutionary Approach. ICNSC Junhai Zhou, Jianyun Lu, Quanwang Wu, Junhao Wen
2022	B	`conf`	Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. IJCNN Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen
2022	J	`jnl`	Individual Diversity Preference Aware Neural Collaborative Filtering. Knowl. Based Syst. Guanzhong Liang, Junhao Wen, Wei Zhou
2022	A	`conf`	Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. ICWS Guanzhong Liang, Jie Liao, Wei Zhou, Junhao Wen
2022	J	`jnl`	Interest-Aware Contrastive-Learning-Based GCN for Recommendation. IEEE Access Chuan Lin, Wei Zhou, Junhao Wen
2022	—	`conf`	LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. PAKDD (1) Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang
2022	—	`conf`	Leveraging GCN and User Friendship for Next POI Recommendation. MLNLP Cheng Fu, Wei Zhou, Junhao Wen, Xiangxing Guo, Yuhang Chang
2022	J	`jnl`	Mask guided diverse face image synthesis. Frontiers Comput. Sci. Sun Song, Bo Zhao, Muhammad Mateen, Xin Chen, Junhao Wen
2022	J	`jnl`	Multi-User QoE Enhancement: Federated Multi-Agent Reinforcement Learning for Cooperative Edge Intelligence. IEEE Netw. Xiuhua Li, Chuan Sun, Junhao Wen, Xiaofei Wang, Mohsen Guizani, Victor C. M. Leung
2022	J	`jnl`	Multi-interaction fusion collaborative filtering for social recommendation. Expert Syst. Appl. Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng
2022	J	`jnl`	SocialLGN: Light graph convolution network for social recommendation. Inf. Sci. Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen, Min Gao, Xiuhua Li, Jun Zeng
2022	J	`jnl`	The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. CoRR Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
2021	J	`jnl`	An improved shuffled frog-leaping algorithm for the minmax multiple traveling salesman problem. Neural Comput. Appl. Yafei Dong, Quanwang Wu, Junhao Wen
2021	—	`conf`	Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction. CollaborateCom (1) Shiqi Wang, Min Gao, Zongwei Wang, Jia Wang, Fan Wu, Junhao Wen
2021	—	`conf`	GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. ICONIP (2) Yu Wang, Wei Zhou, Junhao Wen, Jun Zeng, Haoran He, Lin Liu
2021	B	`conf`	Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. IJCNN Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao
2021	—	`conf`	Improving Personalized Project Recommendation on GitHub Based on Deep Matrix Factorization. CollaborateCom (1) Huan Yang, Song Sun, Junhao Wen, Haini Cai, Muhammad Mateen
2021	J	`jnl`	Improving deep-learning-based fault localization with resampling. J. Softw. Evol. Process. Zhuo Zhang, Yan Lei, Xiaoguang Mao, Meng Yan, Ling Xu, Junhao Wen
2021	A*	`conf`	Manipulating Black-Box Networks for Centrality Promotion. ICDE Wentao Li, Min Gao, Fan Wu, Wenge Rong, Junhao Wen, Lu Qin
2021	—	`conf`	Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. SCC Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao
2021	J	`jnl`	PA-Cache: Evolving Learning-Based Popularity- Aware Content Caching in Edge Networks. IEEE Trans. Netw. Serv. Manag. Qilin Fan, Xiuhua Li, Jian Li, Qiang He, Kai Wang, Junhao Wen
2021	J	`jnl`	PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. Mob. Networks Appl. Jun Zeng, Haoran Tang, Yizhu Zhao, Min Gao, Junhao Wen
2021	J	`jnl`	Predicting the next location: A self-attention and recurrent neural network model with temporal context. Trans. Emerg. Telecommun. Technol. Jun Zeng, Xin He, Haoran Tang, Junhao Wen
2021	J	`jnl`	Recommender systems based on generative adversarial networks: A problem-driven perspective. Inf. Sci. Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2020	J	`jnl`	Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics. IEEE Access Muhammad Mateen, Junhao Wen, Mehdi Hassan, Nasrullah, Sun Song, Shaukat Hayat
2020	J	`jnl`	Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey. IEEE Access Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Zhou
2020	—	`conf`	DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. ICONIP (3) Jun Zeng, Haoran Tang, Junhao Wen
2020	J	`jnl`	Exudate Detection for Diabetic Retinopathy Using Pretrained Convolutional Neural Networks. Complex. Muhammad Mateen, Junhao Wen, Nasrullah, Sun Song, Shaukat Hayat
2020	J	`jnl`	MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows. IEEE Trans Autom. Sci. Eng. Quanwang Wu, MengChu Zhou, Qingsheng Zhu, Yunni Xia, Junhao Wen
2020	B	`conf`	Mobility-Aware Content Caching and User Association for Ultra-Dense Mobile Edge Computing Networks. GLOBECOM Hui Li, Chuan Sun, Xiuhua Li, Qingyu Xiong, Junhao Wen, Xiaofei Wang, Victor C. M. Leung
2020	J	`jnl`	Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. CoRR Min Gao, Junwei Zhang, Junliang Yu, Jundong Li, Junhao Wen, Qingyu Xiong
2020	B	`conf`	Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. CLOUD Jia Wang, Min Gao, Zongwei Wang, Runsheng Wang, Junhao Wen
2020	B	`conf`	Task Offloading for End-Edge-Cloud Orchestrated Computing in Mobile Networks. WCNC Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Xiaofei Wang, Victor C. M. Leung
2020	B	`conf`	Web Service Discovery Based on Knowledge Graph and Similarity Network. SERVICES Yang Yu, Jun Zeng, Juan Yao, Junhao Wen, Bin Xing
2019	J	`jnl`	A Cloud Service Selection Method Based on Trust and User Preference Clustering. IEEE Access Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Zhiyong Tao
2019	J	`jnl`	A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis. Secur. Commun. Networks Yubiao Wang, Junhao Wen, Xibin Wang, Bamei Tao, Wei Zhou
2019	—	`conf`	A Minimax Game for Generative and Discriminative Sample Models for Recommendation. PAKDD (2) Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong
2019	B	`conf`	A Music Recommendation System Based on logistic regression and eXtreme Gradient Boosting. IJCNN Haoye Tian, Haini Cai, Junhao Wen, Shun Li, Yingqiao Li
2019	C	`conf`	A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention. CollaborateCom Jun Zeng, Xin He, Haoran Tang, Junhao Wen
2019	—	`conf`	A Social Recommendation Algorithm with Trust and Distrust Considering Domain Relevance. ICONIP (5) Ling Liu, Qi Zhang, Yi Zhang, Junhao Wen
2019	J	`jnl`	A dynamic cloud service selection model based on trust and SLA in cloud computing. Int. J. Grid Util. Comput. Yubiao Wang, Junhao Wen, Quanwang Wu, Lei Guo, Bamei Tao
2019	J	`jnl`	A semi-supervised approach of graph-based with local and global consistency. Int. J. Inf. Technol. Manag. Yihao Zhang, Junhao Wen, Zhi Liu, Changpeng Zhu
2019	J	`jnl`	A trust-based evaluation model for data privacy protection in cloud computing. Int. J. High Perform. Comput. Netw. Yubiao Wang, Junhao Wen, Wei Zhou
2019	J	`jnl`	Channel Attention Networks for Image Translation. IEEE Access Sun Song, Bo Zhao, Xin Chen, Muhammad Mateen, Junhao Wen
2019	J	`jnl`	Energy-Efficient Patching Strategy for Wireless Sensor Networks. Sensors Pengdeng Li, Lu-Xing Yang, Xiaofan Yang, Xiang Zhong, Junhao Wen, Qingyu Xiong
2019	B	`conf`	From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. IJCNN Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou
2019	J	`jnl`	From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System. Mob. Inf. Syst. Shun Li, Junhao Wen, Xibin Wang
2019	J	`jnl`	From similarity perspective: a robust collaborative filtering approach for service recommendations. Frontiers Comput. Sci. Min Gao, Bin Ling, Linda Yang, Junhao Wen, Qingyu Xiong, Shun Li
2019	J	`jnl`	Fundus Image Classification Using VGG-19 Architecture with PCA and SVD. Symmetry Muhammad Mateen, Junhao Wen, Nasrullah, Sun Song, Zhouping Huang
2019	J	`jnl`	Fused Collaborative Filtering With User Preference, Geographical and Social Influence for Point of Interest Recommendation. Int. J. Web Serv. Res. Jun Zeng, Feng Li, Xin He, Junhao Wen
2019	—	`conf`	Individual Risk Prediction of Gastric Cancer Using Fully Connected Neural Network with Weighted Neighborhood Feature. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Jun Liao, Dandan Liu, Junfeng Hu, Yande Li, Aamir Khan, Li Liu, Qingyu Xiong, Junhao Wen
2019	J	`jnl`	Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition. IEEE Access Tian Chen, Junhao Wen, Qingyu Xiong, Jun Zeng, Wei Zhou, Xueyuan Cai
2019	J	`jnl`	Using fine-tuned conditional probabilities for data transformation of nominal attributes. Pattern Recognit. Lett. Qiude Li, Qingyu Xiong, Shengfen Ji, Junhao Wen, Min Gao, Yang Yu, Rui Xu
2019	J	`jnl`	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 Qi Zhang, Ling Liu, Junhao Wen
2019	J	`jnl`	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 Junhao Wen, Yuan Wan, Jun Zeng, Xibin Wang, Guanzhong Liang
2018	—	`conf`	A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing. TrustCom/BigDataSE Yubiao Wang, Junhao Wen, Wei Zhou, Fengji Luo
2018	J	`jnl`	A Point-of-Interest recommendation method using user similarity. Web Intell. Jun Zeng, Xin He, Yinghua Li, Junhao Wen, Wei Zhou
2018	B	`conf`	Deep Convolutional Neural Networks with Random Subspace Learning for Short-term Traffic Flow Prediction with Incomplete Data. IJCNN Shijie Liao, Jing Chen, Jiaxin Hou, Qingyu Xiong, Junhao Wen
2018	—	`conf`	Defending Against Advanced Persistent Threat: A Risk Management Perspective. SciSec Xiang Zhong, Luxing Yang, Xiaofan Yang, Qingyu Xiong, Junhao Wen, Yuan Yan Tang
2018	J	`jnl`	Defending against the Advanced Persistent Threat: An Optimal Control Approach. Secur. Commun. Networks Pengdeng Li, Xiaofan Yang, Qingyu Xiong, Junhao Wen, Yuan Yan Tang
2018	J	`jnl`	Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition. Pattern Recognit. Li Liu, Shu Wang, Bin Hu, Qingyu Xiong, Junhao Wen, David S. Rosenblum
2018	—	`conf`	Meta-path Based Heterogeneous Graph Embedding for Music Recommendation. ICONIP (3) Qianqi Fang, Ling Liu, Junliang Yu, Junhao Wen
2018	B	`conf`	Predicting Traffic Flow via Ensemble Deep Convolutional Neural Networks with Spatio-temporal Joint Relations. ICPR Jiaxin Hou, Jing Chen, Shijie Liao, Junhao Wen, Qingyu Xiong
2018	J	`jnl`	Time-Aware QoS Prediction for Cloud Service Recommendation Based on Matrix Factorization. IEEE Access Shun Li, Junhao Wen, Fengji Luo, Gianluca Ranzi
2018	J	`jnl`	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 Junhao Wen, Dawen Dai, Junliang Yu, Min Gao, Yihao Zhang
2017	A	`conf`	A Location and Reputation Aware Matrix Factorization Approach for Personalized Quality of Service Prediction. ICWS Shun Li, Junhao Wen, Fengji Luo, Tian Cheng, Qingyu Xiong
2017	J	`jnl`	A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side. IEEE Trans. Netw. Serv. Manag. Shun Li, Junhao Wen, Fengji Luo, Min Gao, Jun Zeng, Zhao Yang Dong
2017	C	`conf`	A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks. CollaborateCom Jun Zeng, Feng Li, Junhao Wen, Wei Zhou
2017	—	`conf`	A Point-of-Interest Recommendation Method Using Location Similarity. IIAI-AAI Jun Zeng, Yinghua Li, Feng Li, Junhao Wen, Sachio Hirokawa
2017	J	`jnl`	A framework of mining semantic-based probabilistic event relations for complex activity recognition. Inf. Sci. Li Liu, Shu Wang, Guoxin Su, Bin Hu, Yuxin Peng, Qingyu Xiong, Junhao Wen
2017	J	`jnl`	An Operational Planning Framework for Large-Scale Thermostatically Controlled Load Dispatch. IEEE Trans. Ind. Informatics Fengji Luo, Zhao Yang Dong, Ke Meng, Junhao Wen, Haiming Wang, Junhua Zhao
2017	J	`jnl`	Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds. IEEE Trans. Parallel Distributed Syst. Quanwang Wu, Fuyuki Ishikawa, Qingsheng Zhu, Yunni Xia, Junhao Wen
2017	J	`jnl`	Defend against advanced persistent threats: An optimal control approach. CoRR Pengdeng Li, Luxing Yang, Xiaofan Yang, Qingyu Xiong, Junhao Wen, Yuan Yan Tang
2017	J	`jnl`	Exploring the Influence of Contexts for Mobile Recommendation. Int. J. Web Serv. Res. Jun Zeng, Feng Li, Yinghua Li, Junhao Wen, Yingbo Wu
2017	—	`conf`	PUD: Social Spammer Detection Based on PU Learning. ICONIP (5) Yuqi Song, Min Gao, Junliang Yu, Wentao Li, Junhao Wen, Qingyu Xiong
2017	B	`conf`	Social recommendation using Euclidean embedding. IJCNN Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Ruixi Jia, Tong Dou
2017	J	`jnl`	The Performance of Location Aware Shilling Attacks in Web Service Recommendation. Int. J. Web Serv. Res. Min Gao, Xiang Li, Wenge Rong, Junhao Wen, Qingyu Xiong
2016	—	`conf`	A Restaurant Recommender System Based on User Preference and Location in Mobile Environment. IIAI-AAI Jun Zeng, Feng Li, Haiyang Liu, Junhao Wen, Sachio Hirokawa
2016	C	`conf`	Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series. CollaborateCom Wei Zhou, Junhao Wen, Qingyu Xiong, Jun Zeng, Ling Liu, Haini Cai, Tian Chen
2016	—	`conf`	Data Driven Development Trend Analysis of Mainstream Information Technologies. ICSS Junhao Wen, Guanghui Sun, Fengji Luo
2016	—	`conf`	Design Method and Information Representation for Computer Aided Welding Fixture Design. IIAI-AAI Yi Zhang, Junhao Wen, Jun Zeng, Qingyu Xiong
2016	B	`conf`	Dropout prediction in MOOCs using behavior features and multi-view semi-supervised learning. IJCNN Wentao Li, Min Gao, Hua Li, Qingyu Xiong, Junhao Wen, Zhongfu Wu
2016	C	`conf`	LSSL-SSD: Social Spammer Detection with Laplacian Score and Semi-supervised Learning. KSEM Wentao Li, Min Gao, Wenge Rong, Junhao Wen, Qingyu Xiong, Bin Ling
2016	—	`conf`	Robust Social Recommendation Techniques: A Review. ICISO Feng Jiang, Min Gao, Qingyu Xiong, Junhao Wen, Yi Zhang
2016	J	`jnl`	SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems. Neurocomputing Wei Zhou, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng
2016	A	`conf`	Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems. ICWS Xiang Li, Min Gao, Wenge Rong, Qingyu Xiong, Junhao Wen
2016	J	`jnl`	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 Haini Cai, Mengqiu Qin, Junhao Wen, Qingyu Xiong, Maoliang Li
2016	J	`jnl`	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 Haini Cai, Cheng Chen, Junhao Wen, Xibin Wang, Jun Zeng
2015	C	`conf`	A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems. KSEM Wei Zhou, Junhao Wen, Min Gao, Ling Liu, Haini Cai, Xibin Wang
2015	J	`jnl`	Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis. IEICE Trans. Inf. Syst. Zhuo Jiang, Junhao Wen, Jun Zeng, Yihao Zhang, Xibin Wang, Sachio Hirokawa
2015	C	`conf`	Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization. KSEM Xibin Wang, Junhao Wen, Fengji Luo, Wei Zhou, Haijun Ren
2015	J	`jnl`	Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning. J. Intell. Inf. Syst. Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang
2014	—	`conf`	A Hybrid Trust Degree Model in Social Network for Recommender System. IIAI-AAI Jun Zeng, Min Gao, Junhao Wen, Sachio Hirokawa
2014	B	`conf`	Attack detection in recommender systems based on target item analysis. IJCNN Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie
2014	A*	`conf`	Detection of abnormal profiles on group attacks in recommender systems. SIGIR Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie
2014	J	`jnl`	Semi-supervised learning combining co-training with active learning. Expert Syst. Appl. Yihao Zhang, Junhao Wen, Xibin Wang, Zhuo Jiang
2013	—	`conf`	Proposal of Seam Degree and Content Similarity for Web Page Segmentation. IIAI-AAI Jun Zeng, Brendan Flanagan, Qingyu Xiong, Junhao Wen, Sachio Hirokawa
2012	—	`conf`	Extraction of Relevant Snippets from Web Pages Using Hybrid Features. IIAI-AAI Jun Zeng, Qingyu Xiong, Junhao Wen, Sachio Hirokawa
2012	J	`jnl`	Semi-Supervised Learning: Exploiting Unlabeled Data with Symmetrical Distribution and High confidence. Int. J. Pattern Recognit. Artif. Intell. Yihao Zhang, Junhao Wen, Fangfang Tang, Zhuo Jiang
2006	J	`jnl`	Clustering Algorithm Research Based on Self-organizing Feature Maps Networks. Int. J. Pattern Recognit. Artif. Intell. Junhao Wen, Hongyan Wu, Zhongfu Wu, Yuanyan Tang, Guanghui He
2005	C	`conf`	ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining. ADMA Zhong Qu, Junhao Wen, Dan Yang, Ling Xu, Yu Wu
2005	Misc	`conf`	Algebraic reconstruction technique in image reconstruction with narrow fan-beam. GrC Zhong Qu, Junhao Wen, Dan Yang, Yu Wu