Articles with public access mandates - Da YanLearn more
Not available anywhere: 7
Trajnet: A trajectory-based deep learning model for traffic prediction
B Hui, D Yan, H Chen, WS Ku
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Mandates: US National Science Foundation
Trajectory waveNet: A trajectory-based model for traffic forecasting
B Hui, D Yan, H Chen, WS Ku
2021 IEEE International Conference on Data Mining (ICDM), 1114-1119, 2021
Mandates: US National Science Foundation
Traffic Study of Shared Micromobility Services by Transportation Simulation
J Khalil, D Yan, G Guo, MT Sami, JB Roy, VP Sisiopiku
2021 IEEE International Conference on Big Data (Big Data), 3691-3699, 2021
Mandates: US National Science Foundation
Realistic transport simulation with open data
G Guo, JM Khalil, D Yan, V Sisiopiku
2019 IEEE International Conference on Big Data (Big Data), 6066-6068, 2019
Mandates: US National Science Foundation
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services
J Khalil, D Yan, G Guo, MT Sami, JB Roy, VP Sisiopiku
2021 IEEE International Conference on Big Data (Big Data), 5935-5937, 2021
Mandates: US National Science Foundation
SGraph: A Distributed Streaming System for Processing Big Graphs
C Chen, H Wu, DJ Zhao, D Yan, J Cheng
Big Data Computing and Communications: Second International Conference …, 2016
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models
J Cheng, G Guo, D Yan, X Hao, W Ng
2019 IEEE International Conference on Big Data (Big Data), 6019-6021, 2019
Mandates: US National Science Foundation
Available somewhere: 55
G-miner: an efficient task-oriented graph mining system
H Chen, M Liu, Y Zhao, X Yan, D Yan, J Cheng
Proceedings of the Thirteenth EuroSys Conference, 1-12, 2018
Mandates: Research Grants Council, Hong Kong
Diversified temporal subgraph pattern mining
Y Yang, D Yan, H Wu, J Cheng, S Zhou, JCS Lui
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
Mandates: Research Grants Council, Hong Kong
G-thinker: A distributed framework for mining subgraphs in a big graph
D Yan, G Guo, MMR Chowdhury, MT Özsu, WS Ku, JCS Lui
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1369-1380, 2020
Mandates: US National Science Foundation, Natural Sciences and Engineering Research …
Graphd: Distributed vertex-centric graph processing beyond the memory limit
D Yan, Y Huang, M Liu, H Chen, J Cheng, H Wu, C Zhang
IEEE Transactions on Parallel and Distributed Systems 29 (1), 99-114, 2017
Mandates: Research Grants Council, Hong Kong
A transfer learning based framework of crowd-selection on twitter
Z Zhao, D Yan, W Ng, S Gao
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Mandates: Research Grants Council, Hong Kong
Fraction-score: A new support measure for co-location pattern mining
HKH Chan, C Long, D Yan, RCW Wong
2019 IEEE 35th international conference on data engineering (ICDE), 1514-1525, 2019
Mandates: US National Science Foundation, Research Grants Council, Hong Kong
Big graph analytics systems
D Yan, Y Bu, Y Tian, A Deshpande, J Cheng
Proceedings of the 2016 International Conference on Management of Data, 2241 …, 2016
Mandates: US National Science Foundation, Research Grants Council, Hong Kong
Expressive 1-lipschitz neural networks for robust multiple graph learning against adversarial attacks
X Zhao, Z Zhang, Z Zhang, L Wu, J Jin, Y Zhou, R Jin, D Dou, D Yan
International conference on machine learning, 12719-12735, 2021
Mandates: US National Science Foundation
Fuzzy double trace norm minimization for recommendation systems
F Shang, Y Liu, J Cheng, D Yan
IEEE Transactions on Fuzzy Systems 26 (4), 2039-2049, 2017
Mandates: US National Science Foundation, Research Grants Council, Hong Kong
Prefixfpm: A parallel framework for general-purpose frequent pattern mining
D Yan, W Qu, G Guo, X Wang
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1938-1941, 2020
Mandates: US National Science Foundation, National Natural Science Foundation of China
Predicting economic growth by region embedding: A multigraph convolutional network approach
B Hui, D Yan, WS Ku, W Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
Mandates: US National Science Foundation
Forecasting stock prices using stock correlation graph: A graph convolutional network approach
X Yin, D Yan, A Almudaifer, S Yan, Y Zhou
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Mandates: US National Science Foundation
Maximal directed quasi-clique mining
G Guo, D Yan, L Yuan, J Khalil, C Long, Z Jiang, Y Zhou
2022 IEEE 38th international conference on data engineering (ICDE), 1900-1913, 2022
Mandates: US National Science Foundation
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