CALBA: capacity-aware location-based advertising in temporary social networks. - Wenjian Xu; Chi-Yin Chow; Jia-Dong Zhang (SIGSPATIAL/GIS, 2013)

iGSLR: personalized geo-social location recommendation: a kernel density estimation approach. - Jia-Dong Zhang; Chi-Yin Chow (SIGSPATIAL/GIS, 2013)

LORE: exploiting sequential influence for location recommendations. - Jia-Dong Zhang; Chi-Yin Chow; Yanhua Li (SIGSPATIAL/GIS, 2014)

Differentially Private Location Recommendations in Geosocial Networks. - Jia-Dong Zhang; Gabriel Ghinita; Chi-Yin Chow (MDM (1), 2014)

Sampling Big Trajectory Data. - Yanhua Li; Chi-Yin Chow; Ke Deng; Mingxuan Yuan; Jia Zeng; Jia-Dong Zhang; Qiang Yang 001; Zhi-Li Zhang (CIKM, 2015)

ORec: An Opinion-Based Point-of-Interest Recommendation Framework. - Jia-Dong Zhang; Chi-Yin Chow; Yu Zheng 004 (CIKM, 2015)

GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations. - Jia-Dong Zhang; Chi-Yin Chow (SIGIR, 2015)

CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations. - Jia-Dong Zhang; Chi-Yin Chow (Inf. Sci., 2015)

Point-of-interest recommendations in location-based social networks. - Jia-Dong Zhang; Chi-Yin Chow (ACM SIGSPATIAL Special, 2015)

REAL: A Reciprocal Protocol for Location Privacy in Wireless Sensor Networks. - Jia-Dong Zhang; Chi-Yin Chow (IEEE Trans. Dependable Secur. Comput., 2015)

Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach. - Jia-Dong Zhang; Chi-Yin Chow (ACM Trans. Intell. Syst. Technol., 2015)

iGeoRec: A Personalized and Efficient Geographical Location Recommendation Framework. - Jia-Dong Zhang; Chi-Yin Chow; Yanhua Li (IEEE Trans. Serv. Comput., 2015)

CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data. - Jia-Dong Zhang; Chi-Yin Chow (IEEE Trans. Knowl. Data Eng., 2016)

TICRec: A Probabilistic Framework to Utilize Temporal Influence Correlations for Time-Aware Location Recommendations. - Jia-Dong Zhang; Chi-Yin Chow (IEEE Trans. Serv. Comput., 2016)

SoCaST: Exploiting Social, Categorical and Spatio-Temporal Preferences for Personalized Event Recommendations. - Tunde Joseph Ogundele; Chi-Yin Chow; Jia-Dong Zhang (ISPAN-FCST-ISCC, 2017)

EventRec: Personalized Event Recommendations for Smart Event-Based Social Networks. - Tunde Joseph Ogundele; Chi-Yin Chow; Jia-Dong Zhang (SMARTCOMP, 2017)

Enabling Kernel-Based Attribute-Aware Matrix Factorization for Rating Prediction. - Jia-Dong Zhang; Chi-Yin Chow; Jin Xu (IEEE Trans. Knowl. Data Eng., 2017)

Exploiting Sequential Influence for Personalized Location-Based Recommendation Systems. - Jia-Dong Zhang; Chi-Yin Chow (Encyclopedia of GIS, 2017)

SoCaST*: Personalized Event Recommendations for Event-Based Social Networks: A Multi-Criteria Decision Making Approach. - Tunde Joseph Ogundele; Chi-Yin Chow; Jia-Dong Zhang (IEEE Access, 2018)

SEMA: Deeply Learning Semantic Meanings and Temporal Dynamics for Recommendations. - Jia-Dong Zhang; Chi-Yin Chow (IEEE Access, 2018)

GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang; Ning Li (IEEE BigData, 2019)

A Comparative Analysis of Journey Time from Google Maps and Intelligent Transport System in Hong Kong. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang (HPCC/SmartCity/DSS, 2019)

Seeded-BTM: Enabling Biterm Topic Model with Seeds for Product Aspect Mining. - Ning Li; Chi-Yin Chow; Jia-Dong Zhang (HPCC/SmartCity/DSS, 2019)

STCNN: A Spatio-Temporal Convolutional Neural Network for Long-Term Traffic Prediction. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang (MDM, 2019)

STANN: A Spatio-Temporal Attentive Neural Network for Traffic Prediction. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang (IEEE Access, 2019)

SEMAX: Multi-Task Learning for Improving Recommendations. - Jia-Dong Zhang; Chi-Yin Chow (IEEE Access, 2019)

MOCA: Multi-Objective, Collaborative, and Attentive Sentiment Analysis. - Jia-Dong Zhang; Chi-Yin Chow (IEEE Access, 2019)

GAMIT: A New Encoder-Decoder Framework with Graphical Space and Multi-grained Time for Traffic Predictions. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang (IEEE BigData, 2020)

FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences. - Yijun Su; Jia-Dong Zhang; Xiang Li 045; Daren Zha; Ji Xiang; Wei Tang; Neng Gao (IJCNN, 2020)

EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining. - Ning Li; Chi-Yin Chow; Jia-Dong Zhang (PAKDD (2), 2020)

GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang (SIGIR, 2020)

SEML: A Semi-Supervised Multi-Task Learning Framework for Aspect-Based Sentiment Analysis. - Ning Li; Chi-Yin Chow; Jia-Dong Zhang (IEEE Access, 2020)

Fish Image Instance Segmentation: An Enhanced Hybrid Task Cascade Approach. - Tian-Tian Zhang; Chi-Yin Chow; Jia-Dong Zhang (ICSC, 2021)

STNN: A Spatio-Temporal Neural Network for Traffic Predictions. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang (IEEE Trans. Intell. Transp. Syst., 2021)

Enabling Probabilistic Differential Privacy Protection for Location Recommendations. - Jia-Dong Zhang; Chi-Yin Chow (IEEE Trans. Serv. Comput., 2021)

Pairwise and Hyper-correlations Based Spatiotemporal Neural Networks for Traffic Speed Predictions. - Zhixiang He; Jia-Dong Zhang; Chi-Yin Chow; Ning Li; Xiliang Liu; Pengfei Lin; Xiaoli Sun (MDM, 2023)

The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis. - Xiancai Xu; Jia-Dong Zhang; Rongchang Xiao; Lei Xiong (CoRR, 2023)

DeepMAG: Deep reinforcement learning with multi-agent graphs for flexible job shop scheduling. - Jia-Dong Zhang; Zhixiang He; Wing-Ho Chan; Chi-Yin Chow (Knowl. Based Syst., 2023)

H3Rec: Higher-Order Heterogeneous and Homogeneous Interaction Modeling for Group Recommendations of Web Services. - Zhixiang He; Chi-Yin Chow; Jia-Dong Zhang; Kam-Yiu Lam (IEEE Trans. Serv. Comput., 2023)

MiST: Enhancing Traffic Predictions with a Mixing Spatio-temporal Neural Network. - Zhixiang He; Mengzan Gong; Jia-Dong Zhang; Xiliang Liu; Chi-Yin Chow; Ning Li; Xiaoli Sun (SIGSPATIAL/GIS, 2024)

iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples. - Xiancai Xu; Jia-Dong Zhang; Lei Xiong; Zhishang Liu (NAACL-HLT, 2024)