Jun Zeng

81 papers A 1B 5C 5Journal 49Unranked 21
YearRankTypeTitle / 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
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
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-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
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
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
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 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
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-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
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
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation.
ACM Trans. Inf. Syst.
Haoran Tang, Shiqing Wu, Xueyao Sun, Jun Zeng, Guandong Xu, Qing Li
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
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 — 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 text matching model based on dynamic multi-mask and augmented adversarial.
Expert Syst. J. Knowl. Eng.
Lin Zhong, Jun Zeng, Yang Yu, Hongjin Tao, Wenying Jiang, Luxi Cheng
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
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
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 B conf
RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection.
IJCNN
Ziwei Wang, Jun Zeng, Hongjin Tao, Lin Zhong
2023 B conf
SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning.
IJCNN
Hongjin Tao, Jun Zeng, Yang Yu, Ziwei Wang, Xiaolin Hu
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 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
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
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
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
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 — conf
Multi-D3QN: A Multi-strategy Deep Reinforcement Learning for Service Composition in Cloud Manufacturing.
CollaborateCom (2)
Jun Zeng, Juan Yao, Yang Yu, Yingbo Wu
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 — conf
The Missing POI Completion Based on Bidirectional Masked Trajectory Model.
CollaborateCom (1)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou
2020 J jnl
A recommendation algorithm for point of interest using time-based collaborative filtering.
Int. J. Inf. Technol. Manag.
Jun Zeng, Xin He, Feng Li, Yingbo Wu
2020 — conf
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence.
ICONIP (3)
Jun Zeng, Haoran Tang, Junhao Wen
2020 — conf
Library Intelligent Book Recommendation System Using Facial Expression Recognition.
IIAI-AAI
Yizhu Zhao, Jun Zeng
2020 — conf
RCFC: A Region-Based POI Recommendation Model with Collaborative Filtering and User Context.
CollaborateCom (1)
Jun Zeng, Haoran Tang, Xin He
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 C conf
A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation.
SEKE
Jun Zeng, Haoran Tang, Yinghua Li, Xin He
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 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 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 — conf
Predict the Next Location From Trajectory Based on Spatiotemporal Sequence.
IIAI-AAI
Jun Zeng, Haoran Tang, Yingbo Wu, Ling Liu, Sachio Hirokawa
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 J jnl
A Point-of-Interest recommendation method using user similarity.
Web Intell.
Jun Zeng, Xin He, Yinghua Li, Junhao Wen, Wei Zhou
2018 — conf
User Behavior Analysis of Location-Based Social Network.
IIAI-AAI
Jun Zeng, Xin He, Yingbo Wu, Sachio Hirokawa
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
Exploring the Influence of Contexts for Mobile Recommendation.
Int. J. Web Serv. Res.
Jun Zeng, Feng Li, Yinghua Li, Junhao Wen, Yingbo Wu
2017 J jnl
LTDE: A Layout Tree Based Approach for Deep Page Data Extraction.
IEICE Trans. Inf. Syst.
Jun Zeng, Feng Li, Brendan Flanagan, Sachio Hirokawa
2017 J jnl
Personalized Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization.
IEICE Trans. Inf. Syst.
Xibin Wang, Fengji Luo, Chun-Yan Sang, Jun Zeng, Sachio Hirokawa
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 J jnl
Automated Duplicate Bug Report Detection Using Multi-Factor Analysis.
IEICE Trans. Inf. Syst.
Jie Zou, Ling Xu, Mengning Yang, Xiaohong Zhang, Jun Zeng, Sachio Hirokawa
2016 — conf
Design Method and Information Representation for Computer Aided Welding Fixture Design.
IIAI-AAI
Yi Zhang, Junhao Wen, Jun Zeng, Qingyu Xiong
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 J jnl
Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis.
IEICE Trans. Inf. Syst.
Wentao Li, Min Gao, Hua Li, Jun Zeng, Qingyu Xiong, Sachio Hirokawa
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 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
2014 — conf
A Hybrid Trust Degree Model in Social Network for Recommender System.
IIAI-AAI
Jun Zeng, Min Gao, Junhao Wen, Sachio Hirokawa
2014 J jnl
A Web Page Segmentation Approach Using Visual Semantics.
IEICE Trans. Inf. Syst.
Jun Zeng, Brendan Flanagan, Sachio Hirokawa, Eisuke Ito
2013 J jnl
Automatic generation of tourism quiz using blogs.
Artif. Life Robotics
Jun Zeng, Toshihiko Sakai, Chengjiu Yin, Takahiko Suzuki, Sachio Hirokawa
2013 C conf
Layout-tree-based approach for identifying visually similar blocks in a web page.
ICIS
Jun Zeng, Brendan Flanagan, Sachio Hirokawa
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
Descriminant Words for Problems in Scientific Articles.
ACIS-ICIS
Toshihiko Sakai, Jun Zeng, Brendan Flanagan, Tetsuya Nakatoh, Sachio Hirokawa
2012 B conf
Extraction of Feature Words with the Same Generality Level as Query using Restricted Bootstrapping.
CEC
Jun Zeng, Toshihiko Sakai, Brendan Flanagan, 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 — conf
Extraction of relevant components using shallow structure of HTML documents.
FSKD
Jun Zeng, Brendan Flanagan, Toshihiko Sakai, Sachio Hirokawa
2012 — conf
Search Engine Focused on Multiple Features of Scientific Articles.
IIAI-AAI
Toshihiko Sakai, Brendan Flanagan, Jun Zeng, Tetsuya Nakatoh, Sachio Hirokawa
2011 — conf
Component search engine using tree-view interface for tourist blogs.
iCAST
Jun Zeng, Sachio Hirokawa