Component search engine using tree-view interface for tourist blogs. - Jun Zeng 003; Sachio Hirokawa (iCAST, 2011)

Descriminant Words for Problems in Scientific Articles. - Toshihiko Sakai; Jun Zeng 003; Brendan Flanagan; Tetsuya Nakatoh; Sachio Hirokawa (ACIS-ICIS, 2012)

Extraction of relevant components using shallow structure of HTML documents. - Jun Zeng 003; Brendan Flanagan; Toshihiko Sakai; Sachio Hirokawa (FSKD, 2012)

Search Engine Focused on Multiple Features of Scientific Articles. - Toshihiko Sakai; Brendan Flanagan; Jun Zeng 003; Tetsuya Nakatoh; Sachio Hirokawa (IIAI-AAI, 2012)

Extraction of Relevant Snippets from Web Pages Using Hybrid Features. - Jun Zeng 003; Qingyu Xiong; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2012)

Extraction of Feature Words with the Same Generality Level as Query using Restricted Bootstrapping. - Jun Zeng 003; Toshihiko Sakai; Brendan Flanagan; Sachio Hirokawa (CEC, 2012)

Layout-tree-based approach for identifying visually similar blocks in a web page. - Jun Zeng 003; Brendan Flanagan; Sachio Hirokawa (ICIS, 2013)

Proposal of Seam Degree and Content Similarity for Web Page Segmentation. - Jun Zeng 003; Brendan Flanagan; Qingyu Xiong; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2013)

Automatic generation of tourism quiz using blogs. - Jun Zeng 003; Toshihiko Sakai; Chengjiu Yin; Takahiko Suzuki; Sachio Hirokawa (Artif. Life Robotics, 2013)

A Hybrid Trust Degree Model in Social Network for Recommender System. - Jun Zeng 003; Min Gao 001; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2014)

A Web Page Segmentation Approach Using Visual Semantics. - Jun Zeng 003; Brendan Flanagan; Sachio Hirokawa; Eisuke Ito (IEICE Trans. Inf. Syst., 2014)

Dynamic Macro-Based Heuristic Planning through Action Relationship Analysis. - Zhuo Jiang; Junhao Wen 001; Jun Zeng 003; Yihao Zhang 002; Xibin Wang; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2015)

Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series. - Wei Zhou 028; Junhao Wen 001; Qingyu Xiong; Jun Zeng 003; Ling Liu 001; Haini Cai; Tian Chen (CollaborateCom, 2016)

A Restaurant Recommender System Based on User Preference and Location in Mobile Environment. - Jun Zeng 003; Feng Li 038; Haiyang Liu; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2016)

Design Method and Information Representation for Computer Aided Welding Fixture Design. - Yi Zhang; Junhao Wen 001; Jun Zeng 003; Qingyu Xiong (IIAI-AAI, 2016)

Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis. - Wentao Li 001; Min Gao 001; Hua Li; Jun Zeng 003; Qingyu Xiong; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2016)

Automated Duplicate Bug Report Detection Using Multi-Factor Analysis. - Jie Zou; Ling Xu; Mengning Yang; Xiaohong Zhang 002; Jun Zeng 003; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2016)

SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems. - Wei Zhou 028; Junhao Wen 001; Qingyu Xiong; Min Gao 001; Jun Zeng 003 (Neurocomputing, 2016)

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). - Haini Cai; Cheng Chen; Junhao Wen 001; Xibin Wang; Jun Zeng 003 (计算机科学, 2016)

A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks. - Jun Zeng 003; Feng Li 038; Junhao Wen 001; Wei Zhou 028 (CollaborateCom, 2017)

A Point-of-Interest Recommendation Method Using Location Similarity. - Jun Zeng 003; Yinghua Li; Feng Li 038; Junhao Wen 001; Sachio Hirokawa (IIAI-AAI, 2017)

Personalized Movie Recommendation System Based on Support Vector Machine and Improved Particle Swarm Optimization. - Xibin Wang; Fengji Luo; Chun-Yan Sang; Jun Zeng 003; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2017)

LTDE: A Layout Tree Based Approach for Deep Page Data Extraction. - Jun Zeng 003; Feng Li 038; Brendan Flanagan; Sachio Hirokawa (IEICE Trans. Inf. Syst., 2017)

Exploring the Influence of Contexts for Mobile Recommendation. - Jun Zeng 003; Feng Li 038; Yinghua Li; Junhao Wen 001; Yingbo Wu (Int. J. Web Serv. Res., 2017)

A New QoS-Aware Web Service Recommendation System Based on Contextual Feature Recognition at Server-Side. - Shun Li; Junhao Wen 001; Fengji Luo; Min Gao 001; Jun Zeng 003; Zhao Yang Dong (IEEE Trans. Netw. Serv. Manag., 2017)

User Behavior Analysis of Location-Based Social Network. - Jun Zeng 003; Xin He; Yingbo Wu; Sachio Hirokawa (IIAI-AAI, 2018)

A Point-of-Interest recommendation method using user similarity. - Jun Zeng 003; Xin He; Yinghua Li; Junhao Wen 001; Wei Zhou 028 (Web Intell., 2018)

A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention. - Jun Zeng 003; Xin He; Haoran Tang; Junhao Wen 001 (CollaborateCom, 2019)

Predict the Next Location From Trajectory Based on Spatiotemporal Sequence. - Jun Zeng 003; Haoran Tang; Yingbo Wu; Ling Liu 001; Sachio Hirokawa (IIAI-AAI, 2019)

A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation. - Jun Zeng 003; Haoran Tang; Yinghua Li; Xin He (SEKE, 2019)

Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition. - Tian Chen; Junhao Wen 001; Qingyu Xiong; Jun Zeng 003; Wei Zhou 028; Xueyuan Cai (IEEE Access, 2019)

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). - Junhao Wen 001; Yuan Wan; Jun Zeng 003; Xibin Wang; Guanzhong Liang (计算机科学, 2019)

Fused Collaborative Filtering With User Preference, Geographical and Social Influence for Point of Interest Recommendation. - Jun Zeng 003; Feng Li 038; Xin He; Junhao Wen 001 (Int. J. Web Serv. Res., 2019)

RCFC: A Region-Based POI Recommendation Model with Collaborative Filtering and User Context. - Jun Zeng 003; Haoran Tang; Xin He (CollaborateCom (1), 2020)

DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. - Jun Zeng 003; Haoran Tang; Junhao Wen 001 (ICONIP (3), 2020)

Library Intelligent Book Recommendation System Using Facial Expression Recognition. - Yizhu Zhao; Jun Zeng 003 (IIAI-AAI, 2020)

Web Service Discovery Based on Knowledge Graph and Similarity Network. - Yang Yu 033; Jun Zeng 003; Juan Yao; Junhao Wen 001; Bin Xing (SERVICES, 2020)

A recommendation algorithm for point of interest using time-based collaborative filtering. - Jun Zeng 003; Xin He; Feng Li 038; Yingbo Wu (Int. J. Inf. Technol. Manag., 2020)

Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. - Hanwen Zhang; Wei Zhou 028; Junhao Wen 001; Ling Liu 001; Jun Zeng 003; Min Gao 001 (SCC, 2021)

Multi-D3QN: A Multi-strategy Deep Reinforcement Learning for Service Composition in Cloud Manufacturing. - Jun Zeng 003; Juan Yao; Yang Yu 033; Yingbo Wu (CollaborateCom (2), 2021)

The Missing POI Completion Based on Bidirectional Masked Trajectory Model. - Jun Zeng 003; Yizhu Zhao; Yang Yu 033; Min Gao 001; Wei Zhou 028 (CollaborateCom (1), 2021)

GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. - Yu Wang 267; Wei Zhou 028; Junhao Wen 001; Jun Zeng 003; Haoran He; Lin Liu (ICONIP (2), 2021)

Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. - Juan Yao; Jun Zeng 003; Junhao Wen 001; Wei Zhou 028; Min Gao 001 (IJCNN, 2021)

Predicting the next location: A self-attention and recurrent neural network model with temporal context. - Jun Zeng 003; Xin He; Haoran Tang; Junhao Wen 001 (Trans. Emerg. Telecommun. Technol., 2021)

PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. - Jun Zeng 003; Haoran Tang; Yizhu Zhao; Min Gao 001; Junhao Wen 001 (Mob. Networks Appl., 2021)

A Flow Prediction Model of Bike-Sharing Based on Cycling Context. - Yizhu Zhao; Jun Zeng 003; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (CollaborateCom (1), 2022)

BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. - Jun Zeng 003; Yizhu Zhao; Yang Yu 033; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (EURASIP J. Wirel. Commun. Netw., 2022)

Multi-interaction fusion collaborative filtering for social recommendation. - Xinyu Xiao; Junhao Wen 001; Wei Zhou 028; Fengji Luo; Min Gao 001; Jun Zeng 003 (Expert Syst. Appl., 2022)

SocialLGN: Light graph convolution network for social recommendation. - Jie Liao; Wei Zhou 028; Fengji Luo; Junhao Wen 001; Min Gao 001; Xiuhua Li; Jun Zeng 003 (Inf. Sci., 2022)

A service composition method using improved hybrid teaching learning optimization algorithm in cloud manufacturing. - Jun Zeng 003; Juan Yao; Min Gao 001; Junhao Wen 001 (J. Cloud Comput., 2022)

Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. - Hongjin Tao; Jun Zeng 003; Ziwei Wang; Min Gao 001; Junhao Wen 001 (ICWS, 2023)

SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning. - Hongjin Tao; Jun Zeng 003; Yang Yu 033; Ziwei Wang; Xiaolin Hu (IJCNN, 2023)

RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection. - Ziwei Wang; Jun Zeng 003; Hongjin Tao; Lin Zhong (IJCNN, 2023)

A text matching model based on dynamic multi-mask and augmented adversarial. - Lin Zhong; Jun Zeng 003; Yang Yu 033; Hongjin Tao; Wenying Jiang; Luxi Cheng (Expert Syst. J. Knowl. Eng., 2023)

Personalized Dynamic Attention Multi-task Learning model for document retrieval and query generation. - Jun Zeng 003; Yang Yu 033; Junhao Wen 001; Wenying Jiang; Luxi Cheng (Expert Syst. Appl., 2023)

Multi-views contrastive learning for dense text retrieval. - Yang Yu 033; Jun Zeng 003; Lin Zhong; Min Gao 001; Junhao Wen 001; Yingbo Wu (Knowl. Based Syst., 2023)

Neu-PCM: Neural-based potential correlation mining for POI recommendation. - Jun Zeng 003; Haoran Tang; Yizhu Zhao; Junhao Wen 001 (Appl. Intell., 2023)

LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. - Jun Zeng 003; Yizhu Zhao; Ziwei Wang; Hongjin Tao; Min Gao 001; Junhao Wen 001 (Expert Syst. Appl., 2023)

Point-of-interest Recommendation using Deep Semantic Model. - Ziwei Wang; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Expert Syst. Appl., 2023)

Research on Collaborative Innovation Ability Training of Software Engineering Talents Based on the Industry-Education Integration. - Jun Zeng 003; Junhao Wen 001; Bin Cai; Qian Xiao (SSE, 2024)

SCFL: Spatio-temporal consistency federated learning for next POI recommendation. - Lin Zhong; Jun Zeng 003; Ziwei Wang; Wei Zhou 028; Junhao Wen 001 (Inf. Process. Manag., 2024)

SFL: A semantic-based federated learning method for POI recommendation. - Xunan Dong; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Inf. Sci., 2024)

DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. - Ziwei Wang; Jun Zeng 003; Lin Zhong; Ling Liu 001; Min Gao 001; Junhao Wen 001 (Inf. Sci., 2024)

CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. - Bo Liu; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Knowl. Based Syst., 2024)

Multi-view collaborative signal fusion and representation property optimization for recommendation. - Pengfan Chen; Wei Zhou 028; Yao Chang; Jun Zeng 003; Junhao Wen 001 (Eng. Appl. Artif. Intell., 2025)

Learning robust travel preferences via check-in masking for next POI recommendation. - Chenghua Duan; Junhao Wen 001; Wei Zhou 028; Jun Zeng 003; Yihao Zhang 002 (Expert Syst. Appl., 2025)

Global and local hypergraph learning method with semantic enhancement for POI recommendation. - Jun Zeng 003; Hongjin Tao; Haoran Tang; Junhao Wen 001; Min Gao 001 (Inf. Process. Manag., 2025)

Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. - Shuang Ni; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (Knowl. Based Syst., 2025)

Explainable next POI recommendation based on spatial-temporal disentanglement representation and pseudo profile generation. - Jun Zeng 003; Hongjin Tao; Junhao Wen 001; Min Gao 001 (Knowl. Based Syst., 2025)

DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. - Yue Li; Jun Zeng 003; Haoran Tang; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (IEEE Trans. Serv. Comput., 2025)

Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation. - Junhui Niu; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2025)

HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model. - Yinchen Pan; Jun Zeng 003; Ziwei Wang; Haoran Tang; Junhao Wen 001; Min Gao 001 (IEEE Trans. Serv. Comput., 2025)

TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. - Haoran Tang; Shiqing Wu 001; Xueyao Sun; Jun Zeng 003; Guandong Xu; Qing Li 001 (ACM Trans. Inf. Syst., 2025)

Multi-Scale Transformers with dual attention and adaptive masking for sequential recommendation. - Haiqin Li; Yuhan Yang; Jun Zeng 003; Min Gao 001; Junhao Wen 001 (Inf. Process. Manag., 2026)