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Ye Ding
Ye Ding
Dept. of Computer Science and Engeering, The Hong Kong University of Science and Technology
Verified email at ust.hk - Homepage
Title
Cited by
Cited by
Year
Growing the charging station network for electric vehicles with trajectory data analytics
Y Li, J Luo, CY Chow, KL Chan, Y Ding, F Zhang
2015 IEEE 31st international conference on data engineering, 1376-1387, 2015
1462015
An integrated multi-task model for fake news detection
Q Liao, H Chai, H Han, X Zhang, X Wang, W Xia, Y Ding
IEEE Transactions on Knowledge and Data Engineering 34 (11), 5154-5165, 2021
862021
T-watcher: A new visual analytic system for effective traffic surveillance
J Pu, S Liu, Y Ding, H Qu, L Ni
2013 IEEE 14th International Conference on Mobile Data Management 1, 127-136, 2013
862013
Multi-task deep convolutional neural network for cancer diagnosis
Q Liao, Y Ding, ZL Jiang, X Wang, C Zhang, Q Zhang
Neurocomputing 348, 66-73, 2019
702019
Hunts: A trajectory recommendation system for effective and efficient hunting of taxi passengers
Y Ding, S Liu, J Pu, LM Ni
2013 IEEE 14th International Conference on Mobile Data Management 1, 107-116, 2013
662013
DP-FL: a novel differentially private federated learning framework for the unbalanced data
X Huang, Y Ding, ZL Jiang, S Qi, X Wang, Q Liao
World Wide Web 23, 2529-2545, 2020
602020
Bitcoin price forecasting: A perspective of underlying blockchain transactions
H Guo, D Zhang, S Liu, L Wang, Y Ding
Decision Support Systems 151, 113650, 2021
522021
Detecting and analyzing urban regions with high impact of weather change on transport
Y Ding, Y Li, K Deng, H Tan, M Yuan, LM Ni
IEEE Transactions on Big Data 3 (2), 126-139, 2017
432017
FraudTrip: Taxi fraudulent trip detection from corresponding trajectories
Y Ding, W Zhang, X Zhou, Q Liao, Q Luo, LM Ni
IEEE Internet of Things Journal 8 (16), 12505-12517, 2020
352020
Multi-depth graph convolutional networks for fake news detection
G Hu, Y Ding, S Qi, X Wang, Q Liao
Natural Language Processing and Chinese Computing: 8th CCF International …, 2019
332019
Inferring road type in crowdsourced map services
Y Ding, J Zheng, H Tan, W Luo, LM Ni
Database Systems for Advanced Applications: 19th International Conference …, 2014
182014
Learning contextual features with multi-head self-attention for fake news detection
Y Wang, H Han, Y Ding, X Wang, Q Liao
Cognitive Computing–ICCC 2019: Third International Conference, Held as Part …, 2019
172019
Cancer classification with multi-task deep learning
Q Liao, L Jiang, X Wang, C Zhang, Y Ding
2017 International Conference on Security, Pattern Analysis, and Cybernetics …, 2017
162017
Affective knowledge enhanced multiple-graph fusion networks for aspect-based sentiment analysis
S Tang, H Chai, Z Yao, Y Ding, C Gao, B Fang, Q Liao
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
142022
HIMM: An HMM-based interactive map-matching system
X Zhou, Y Ding, H Tan, Q Luo, LM Ni
Database Systems for Advanced Applications: 22nd International Conference …, 2017
142017
Clockwise compression for trajectory data under road network constraints
Y Ji, Y Zang, W Luo, X Zhou, Y Ding, LM Ni
2016 IEEE international conference on big data (big data), 472-481, 2016
142016
Dissecting regional weather-traffic sensitivity throughout a city
Y Ding, Y Li, K Deng, H Tan, M Yuan, LM Ni
2015 IEEE International Conference on Data Mining, 739-744, 2015
142015
Detecting unmetered taxi rides from trajectory data
X Zhou, Y Ding, F Peng, Q Luo, LM Ni
2017 IEEE International Conference on Big Data (Big Data), 530-535, 2017
122017
A comparison of road-network-constrained trajectory compression methods
Y Ji, H Liu, X Liu, Y Ding, W Luo
2016 IEEE 22nd international conference on parallel and distributed systems …, 2016
122016
A model-agnostic approach to mitigate gradient interference for multi-task learning
H Chai, Z Yin, Y Ding, L Liu, B Fang, Q Liao
IEEE Transactions on Cybernetics, 2022
82022
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