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 | 155 | 2015 |
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 | 120 | 2021 |
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 | 93 | 2013 |
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 | 83 | 2020 |
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 | 76 | 2019 |
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 | 73 | 2020 |
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 | 69 | 2021 |
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 | 69 | 2013 |
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 | 44 | 2017 |
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 | 37 | 2019 |
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 | 19 | 2014 |
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 | 18 | 2019 |
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 | 17 | 2017 |
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 | 17 | 2015 |
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 | 15 | 2022 |
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 | 15 | 2017 |
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 53 (12), 7810-7823, 2022 | 13 | 2022 |
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 | 13 | 2017 |
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 | 13 | 2016 |
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 | 12 | 2016 |