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2020 – today

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2024
[c21]
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Zhixiang He, Mengzan Gong, Jia-Dong Zhang, Xiliang Liu, Chi-Yin Chow, Ning Li, Xiaoli Sun:
MiST: Enhancing Traffic Predictions with a Mixing Spatio-temporal Neural Network. SIGSPATIAL/GIS 2024: 509-512
[c20]
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Xiancai Xu, Jia-Dong Zhang, Lei Xiong, Zhishang Liu:
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples. NAACL-HLT 2024: 4283-4293
2023
[j18]
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Jia-Dong Zhang, Zhixiang He, Wing-Ho Chan, Chi-Yin Chow:
DeepMAG: Deep reinforcement learning with multi-agent graphs for flexible job shop scheduling. Knowl. Based Syst. 259: 110083 (2023)
[j17]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang, Kam-Yiu Lam:
H3Rec: Higher-Order Heterogeneous and Homogeneous Interaction Modeling for Group Recommendations of Web Services. IEEE Trans. Serv. Comput. 16(2): 1212-1224 (2023)
[c19]
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Zhixiang He, Jia-Dong Zhang, Chi-Yin Chow, Ning Li, Xiliang Liu, Pengfei Lin, Xiaoli Sun:
Pairwise and Hyper-correlations Based Spatiotemporal Neural Networks for Traffic Speed Predictions. MDM 2023: 235-244
[i2]
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  - journals/corr/abs-2310-06502
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Xiancai Xu, Jia-Dong Zhang, Rongchang Xiao, Lei Xiong:
The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis. CoRR abs/2310.06502 (2023)
[i1]
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  - journals/corr/abs-2311-03896
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Xiancai Xu, Jia-Dong Zhang, Lei Xiong, Zhishang Liu:
iACOS: Advancing Implicit Sentiment Extraction with Informative and Adaptive Negative Examples. CoRR abs/2311.03896 (2023)
2021
[j16]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
STNN: A Spatio-Temporal Neural Network for Traffic Predictions. IEEE Trans. Intell. Transp. Syst. 22(12): 7642-7651 (2021)
[j15]
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Jia-Dong Zhang, Chi-Yin Chow:
Enabling Probabilistic Differential Privacy Protection for Location Recommendations. IEEE Trans. Serv. Comput. 14(2): 426-440 (2021)
[c18]
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  - conf/semco/ZhangCZ21
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Tian-Tian Zhang, Chi-Yin Chow, Jia-Dong Zhang:
Fish Image Instance Segmentation: An Enhanced Hybrid Task Cascade Approach. ICSC 2021: 306-313
2020
[j14]
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  - journals/access/LiCZ20
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Ning Li, Chi-Yin Chow, Jia-Dong Zhang:
SEML: A Semi-Supervised Multi-Task Learning Framework for Aspect-Based Sentiment Analysis. IEEE Access 8: 189287-189297 (2020)
[c17]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
GAMIT: A New Encoder-Decoder Framework with Graphical Space and Multi-grained Time for Traffic Predictions. IEEE BigData 2020: 938-943
[c16]
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Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang, Neng Gao:
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences. IJCNN 2020: 1-9
[c15]
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Ning Li, Chi-Yin Chow, Jia-Dong Zhang:
EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining. PAKDD (2) 2020: 811-823
[c14]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation. SIGIR 2020: 649-658

2010 – 2019

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2019
[j13]
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Jia-Dong Zhang, Chi-Yin Chow:
SEMAX: Multi-Task Learning for Improving Recommendations. IEEE Access 7: 2305-2314 (2019)
[j12]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
STANN: A Spatio-Temporal Attentive Neural Network for Traffic Prediction. IEEE Access 7: 4795-4806 (2019)
[j11]
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Jia-Dong Zhang, Chi-Yin Chow:
MOCA: Multi-Objective, Collaborative, and Attentive Sentiment Analysis. IEEE Access 7: 10927-10936 (2019)
[c13]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang, Ning Li:
GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences. IEEE BigData 2019: 631-636
[c12]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
A Comparative Analysis of Journey Time from Google Maps and Intelligent Transport System in Hong Kong. HPCC/SmartCity/DSS 2019: 2610-2617
[c11]
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Ning Li, Chi-Yin Chow, Jia-Dong Zhang:
Seeded-BTM: Enabling Biterm Topic Model with Seeds for Product Aspect Mining. HPCC/SmartCity/DSS 2019: 2751-2758
[c10]
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Zhixiang He, Chi-Yin Chow, Jia-Dong Zhang:
STCNN: A Spatio-Temporal Convolutional Neural Network for Long-Term Traffic Prediction. MDM 2019: 226-233
2018
[j10]
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  - journals/access/OgundeleCZ18
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Tunde Joseph Ogundele, Chi-Yin Chow, Jia-Dong Zhang:
SoCaST*: Personalized Event Recommendations for Event-Based Social Networks: A Multi-Criteria Decision Making Approach. IEEE Access 6: 27579-27592 (2018)
[j9]
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Jia-Dong Zhang, Chi-Yin Chow:
SEMA: Deeply Learning Semantic Meanings and Temporal Dynamics for Recommendations. IEEE Access 6: 54106-54116 (2018)
2017
[j8]
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Jia-Dong Zhang, Chi-Yin Chow, Jin Xu:
Enabling Kernel-Based Attribute-Aware Matrix Factorization for Rating Prediction. IEEE Trans. Knowl. Data Eng. 29(4): 798-812 (2017)
[c9]
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Tunde Joseph Ogundele, Chi-Yin Chow, Jia-Dong Zhang:
SoCaST: Exploiting Social, Categorical and Spatio-Temporal Preferences for Personalized Event Recommendations. ISPAN-FCST-ISCC 2017: 38-45
[c8]
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Tunde Joseph Ogundele, Chi-Yin Chow, Jia-Dong Zhang:
EventRec: Personalized Event Recommendations for Smart Event-Based Social Networks. SMARTCOMP 2017: 1-8
[r1]
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Jia-Dong Zhang, Chi-Yin Chow:
Exploiting Sequential Influence for Personalized Location-Based Recommendation Systems. Encyclopedia of GIS 2017: 565-570
2016
[j7]
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Jia-Dong Zhang, Chi-Yin Chow:
CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data. IEEE Trans. Knowl. Data Eng. 28(11): 2895-2909 (2016)
[j6]
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Jia-Dong Zhang, Chi-Yin Chow:
TICRec: A Probabilistic Framework to Utilize Temporal Influence Correlations for Time-Aware Location Recommendations. IEEE Trans. Serv. Comput. 9(4): 633-646 (2016)
2015
[j5]
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Jia-Dong Zhang, Chi-Yin Chow:
CoRe: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations. Inf. Sci. 293: 163-181 (2015)
[j4]
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  - journals/sigspatial/ZhangC15
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Jia-Dong Zhang, Chi-Yin Chow:
Point-of-interest recommendations in location-based social networks. ACM SIGSPATIAL Special 7(3): 26-33 (2015)
[j3]
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Jia-Dong Zhang, Chi-Yin Chow:
REAL: A Reciprocal Protocol for Location Privacy in Wireless Sensor Networks. IEEE Trans. Dependable Secur. Comput. 12(4): 458-471 (2015)
[j2]
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Jia-Dong Zhang, Chi-Yin Chow:
Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach. ACM Trans. Intell. Syst. Technol. 7(1): 11:1-11:25 (2015)
[j1]
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Jia-Dong Zhang, Chi-Yin Chow, Yanhua Li:
iGeoRec: A Personalized and Efficient Geographical Location Recommendation Framework. IEEE Trans. Serv. Comput. 8(5): 701-714 (2015)
[c7]
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  - conf/cikm/LiCDYZZ0Z15
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Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang:
Sampling Big Trajectory Data. CIKM 2015: 941-950
[c6]
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Jia-Dong Zhang, Chi-Yin Chow, Yu Zheng:
ORec: An Opinion-Based Point-of-Interest Recommendation Framework. CIKM 2015: 1641-1650
[c5]
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Jia-Dong Zhang, Chi-Yin Chow:
GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations. SIGIR 2015: 443-452
2014
[c4]
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Jia-Dong Zhang, Chi-Yin Chow, Yanhua Li:
LORE: exploiting sequential influence for location recommendations. SIGSPATIAL/GIS 2014: 103-112
[c3]
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  - conf/mdm/ZhangGC14
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Jia-Dong Zhang, Gabriel Ghinita, Chi-Yin Chow:
Differentially Private Location Recommendations in Geosocial Networks. MDM (1) 2014: 59-68
2013
[c2]
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Jia-Dong Zhang, Chi-Yin Chow:
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach. SIGSPATIAL/GIS 2013: 324-333
[c1]
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Wenjian Xu, Chi-Yin Chow, Jia-Dong Zhang:
CALBA: capacity-aware location-based advertising in temporary social networks. SIGSPATIAL/GIS 2013: 354-363

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