Jia-Dong Zhang

43 papers A* 2A 2B 4Journal 21Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Companion learning Networks: A deep reinforcement learning algorithm with partner networks. Expert Syst. Appl. Jin Xu, Jinfeng Bu, Yu Zhang, Jia-Dong Zhang, Chi-Yin Chow
2024	—	`conf`	MiST: Enhancing Traffic Predictions with a Mixing Spatio-temporal Neural Network. SIGSPATIAL/GIS Zhixiang He, Mengzan Gong, Jia-Dong Zhang, Xiliang Liu, Chi-Yin Chow, Ning Li, Xiaoli Sun
2024	—	`conf`	iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples. NAACL-HLT Xiancai Xu, Jia-Dong Zhang, Lei Xiong, Zhishang Liu
2023	J	`jnl`	DeepMAG: Deep reinforcement learning with multi-agent graphs for flexible job shop scheduling. Knowl. Based Syst. Jia-Dong Zhang, Zhixiang He, Wing-Ho Chan, Chi-Yin Chow
2023	J	`jnl`	H3Rec: Higher-Order Heterogeneous and Homogeneous Interaction Modeling for Group Recommendations of Web Services. IEEE Trans. Serv. Comput. Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang, Kam-yiu Lam
2023	B	`conf`	Pairwise and Hyper-correlations Based Spatiotemporal Neural Networks for Traffic Speed Predictions. MDM Zhixiang He, Jia-Dong Zhang, Chi-Yin Chow, Ning Li, Xiliang Liu, Pengfei Lin, Xiaoli Sun
2023	J	`jnl`	The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis. CoRR Xiancai Xu, Jia-Dong Zhang, Rongchang Xiao, Lei Xiong
2023	J	`jnl`	iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples. CoRR Xiancai Xu, Jia-Dong Zhang, Lei Xiong, Zhishang Liu
2021	J	`jnl`	Enabling Probabilistic Differential Privacy Protection for Location Recommendations. IEEE Trans. Serv. Comput. Jia-Dong Zhang, Chi-Yin Chow
2021	—	`conf`	Fish Image Instance Segmentation: An Enhanced Hybrid Task Cascade Approach. ICSC Tian-Tian Zhang, Chi-Yin Chow, Jia-Dong Zhang
2021	J	`jnl`	STNN: A Spatio-Temporal Neural Network for Traffic Predictions. IEEE Trans. Intell. Transp. Syst. Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang
2020	—	`conf`	EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining. PAKDD (2) Ning Li, Chi-Yin Chow, Jia-Dong Zhang
2020	B	`conf`	FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences. IJCNN Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang, Neng Gao
2020	A*	`conf`	GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. SIGIR Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang
2020	—	`conf`	GAMIT: A New Encoder-Decoder Framework with Graphical Space and Multi-grained Time for Traffic Predictions. IEEE BigData Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang
2020	J	`jnl`	SEML: A Semi-Supervised Multi-Task Learning Framework for Aspect-Based Sentiment Analysis. IEEE Access Ning Li, Chi-Yin Chow, Jia-Dong Zhang
2019	—	`conf`	A Comparative Analysis of Journey Time from Google Maps and Intelligent Transport System in Hong Kong. HPCC/SmartCity/DSS Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang
2019	—	`conf`	GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences. IEEE BigData Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang, Ning Li
2019	J	`jnl`	MOCA: Multi-Objective, Collaborative, and Attentive Sentiment Analysis. IEEE Access Jia-Dong Zhang, Chi-Yin Chow
2019	J	`jnl`	SEMAX: Multi-Task Learning for Improving Recommendations. IEEE Access Jia-Dong Zhang, Chi-Yin Chow
2019	J	`jnl`	STANN: A Spatio-Temporal Attentive Neural Network for Traffic Prediction. IEEE Access Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang
2019	B	`conf`	STCNN: A Spatio-Temporal Convolutional Neural Network for Long-Term Traffic Prediction. MDM Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang
2019	—	`conf`	Seeded-BTM: Enabling Biterm Topic Model with Seeds for Product Aspect Mining. HPCC/SmartCity/DSS Ning Li, Chi-Yin Chow, Jia-Dong Zhang
2018	J	`jnl`	SEMA: Deeply Learning Semantic Meanings and Temporal Dynamics for Recommendations. IEEE Access Jia-Dong Zhang, Chi-Yin Chow
2018	J	`jnl`	SoCaST*: Personalized Event Recommendations for Event-Based Social Networks: A Multi-Criteria Decision Making Approach. IEEE Access Tunde Joseph Ogundele, Chi-Yin Chow, Jia-Dong Zhang
2017	J	`jnl`	Enabling Kernel-Based Attribute-Aware Matrix Factorization for Rating Prediction. IEEE Trans. Knowl. Data Eng. Jia-Dong Zhang, Chi-Yin Chow, Jin Xu
2017	B	`conf`	EventRec: Personalized Event Recommendations for Smart Event-Based Social Networks. SMARTCOMP Tunde Joseph Ogundele, Chi-Yin Chow, Jia-Dong Zhang
2017	—	`ch.`	Exploiting Sequential Influence for Personalized Location-Based Recommendation Systems. Encyclopedia of GIS Jia-Dong Zhang, Chi-Yin Chow
2017	—	`conf`	SoCaST: Exploiting Social, Categorical and Spatio-Temporal Preferences for Personalized Event Recommendations. ISPAN-FCST-ISCC Tunde Joseph Ogundele, Chi-Yin Chow, Jia-Dong Zhang
2016	J	`jnl`	CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data. IEEE Trans. Knowl. Data Eng. Jia-Dong Zhang, Chi-Yin Chow
2016	J	`jnl`	TICRec: A Probabilistic Framework to Utilize Temporal Influence Correlations for Time-Aware Location Recommendations. IEEE Trans. Serv. Comput. Jia-Dong Zhang, Chi-Yin Chow
2015	J	`jnl`	CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations. Inf. Sci. Jia-Dong Zhang, Chi-Yin Chow
2015	A*	`conf`	GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations. SIGIR Jia-Dong Zhang, Chi-Yin Chow
2015	A	`conf`	ORec: An Opinion-Based Point-of-Interest Recommendation Framework. CIKM Jia-Dong Zhang, Chi-Yin Chow, Yu Zheng
2015	J	`jnl`	Point-of-interest recommendations in location-based social networks. ACM SIGSPATIAL Special Jia-Dong Zhang, Chi-Yin Chow
2015	J	`jnl`	REAL: A Reciprocal Protocol for Location Privacy in Wireless Sensor Networks. IEEE Trans. Dependable Secur. Comput. Jia-Dong Zhang, Chi-Yin Chow
2015	A	`conf`	Sampling Big Trajectory Data. CIKM Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang
2015	J	`jnl`	Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach. ACM Trans. Intell. Syst. Technol. Jia-Dong Zhang, Chi-Yin Chow
2015	J	`jnl`	iGeoRec: A Personalized and Efficient Geographical Location Recommendation Framework. IEEE Trans. Serv. Comput. Jia-Dong Zhang, Chi-Yin Chow, Yanhua Li
2014	—	`conf`	Differentially Private Location Recommendations in Geosocial Networks. MDM (1) Jia-Dong Zhang, Gabriel Ghinita, Chi-Yin Chow
2014	—	`conf`	LORE: exploiting sequential influence for location recommendations. SIGSPATIAL/GIS Jia-Dong Zhang, Chi-Yin Chow, Yanhua Li
2013	—	`conf`	CALBA: capacity-aware location-based advertising in temporary social networks. SIGSPATIAL/GIS Wenjian Xu, Chi-Yin Chow, Jia-Dong Zhang
2013	—	`conf`	iGSLR: personalized geo-social location recommendation: a kernel density estimation approach. SIGSPATIAL/GIS Jia-Dong Zhang, Chi-Yin Chow