Knowledge Graph Embedding by Dynamic Translation. - Liang Chang 003; Manli Zhu; Tianlong Gu; Chenzhong Bin; Junyan Qian; Ji Zhang 001 (IEEE Access, 2017)

Travel Attractions Recommendation with Travel Spatial-Temporal Knowledge Graphs. - Weitao Zhang; Tianlong Gu; Wenping Sun; Phatpicha Yochum; Liang Chang 003; Chenzhong Bin (ICPCSEE (2), 2018)

Personalized POIs Travel Route Recommendation System Based on Tourism Big Data. - Chenzhong Bin; Tianlong Gu; Yanpeng Sun; Liang Chang 003; Wenping Sun; Lei Sun (PRICAI, 2018)

A Multi-latent Semantics Representation Model for Mining Tourist Trajectory. - Yanpeng Sun; Tianlong Gu; Chenzhong Bin; Liang Chang 003; Haili Kuang; Zhaowei Huang; Lei Sun (PRICAI (1), 2018)

ESN-NER: entity storage network using attention mechanism for chinese NER. - Wenkai Wang; Liang Chang 003; Chenzhong Bin; Wen Xuan; Wei Chen 105; Long Li 005 (AIIPCC, 2019)

Knowledge Graph Embedding Based on Adaptive Negative Sampling. - Saige Qin; Guanjun Rao; Chenzhong Bin; Liang Chang 003; Tianlong Gu; Wen Xuan (ICPCSEE (1), 2019)

Jointing Knowledge Graph and Neural Network for Top-N Recommendation. - Wei Chen 105; Liang Chang 003; Chenzhong Bin; Tianlong Gu; Zhonghao Jia (PRICAI (1), 2019)

A Neural User Preference Modeling Framework for Recommendation Based on Knowledge Graph. - Guiming Zhu; Chenzhong Bin; Tianlong Gu; Liang Chang 003; Yanpeng Sun; Wei Chen 105; Zhonghao Jia (PRICAI (1), 2019)

基于知识图谱和频繁序列挖掘的旅游路线推荐 (Travel Route Recommendation Based on Knowledge Graph and Frequent Sequence Mining). - Wenping Sun; Liang Chang 003; Chenzhong Bin; Tianlong Gu; Yanpeng Sun (计算机科学, 2019)

A personalized POI route recommendation system based on heterogeneous tourism data and sequential pattern mining. - Chenzhong Bin; Tianlong Gu; Yanpeng Sun; Liang Chang 003 (Multim. Tools Appl., 2019)

A Travel Route Recommendation System Based on Smart Phones and IoT Environment. - Chenzhong Bin; Tianlong Gu; Yanpeng Sun; Liang Chang 003; Lei Sun (Wirel. Commun. Mob. Comput., 2019)

A neural multi-context modeling framework for personalized attraction recommendation. - Chenzhong Bin; Tianlong Gu; Zhonghao Jia; Guiming Zhu; Cihan Xiao (Multim. Tools Appl., 2020)

Multiview Translation Learning for Knowledge Graph Embedding. - Chenzhong Bin; Saige Qin; Guanjun Rao; Tianlong Gu; Liang Chang 003 (Sci. Program., 2020)

Exploiting multi-attention network with contextual influence for point-of-interest recommendation. - Liang Chang 003; Wei Chen 105; Jianbo Huang; Chenzhong Bin; Wenkai Wang (Appl. Intell., 2021)

Combining user-end and item-end knowledge graph learning for personalized recommendation. - Tianlong Gu; Haohong Liang; Chenzhong Bin; Liang Chang 003 (J. Intell. Fuzzy Syst., 2021)

Neighborhood Attentional Memory Networks for Recommendation Systems. - Tianlong Gu; Hongliang Chen 002; Chenzhong Bin; Liang Chang 003; Wei Chen 105 (Sci. Program., 2021)

Considering Fine-Grained and Coarse-Grained Information for Context-Aware Recommendations. - Yiqin Luo; Yanpeng Sun; Liang Chang 003; Tianlong Gu; Chenzhong Bin; Long Li 005 (Comput. J., 2022)

Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement. - Wenxuan Yu; Chenzhong Bin; Wenqiang Liu; Liang Chang 003 (ICDM, 2023)

Multi-behavior-based graph contrastive learning recommendation. - Chenzhong Bin; Weiliang Li; Fangjian Wu; Liang Chang 003; Yimin Wen (Knowl. Inf. Syst., 2024)

FairCoRe: Fairness-Aware Recommendation Through Counterfactual Representation Learning. - Chenzhong Bin; Wenqiang Liu; Feng Zhang; Liang Chang 003; Tianlong Gu (IEEE Trans. Knowl. Data Eng., 2025)