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ORCIDYe Ding 0002
Person information
- affiliation: Dongguan University of Technology, School of Cyberspace Security, China
- affiliation (PhD 2014): Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Ye Ding — disambiguation page
- Ye Ding 0001
![[0000-0002-1500-3584]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1500-3584")
— Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, China (and 2 more) - Ye Ding 0003 — New York State Department of Health, Albany, NY, USA
- Ye Ding 0004 — Westlake University, School of Life Sciences, Hangzhou, China
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2020 – today
- 2025
[j10]Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao:
MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3111-3125 (2025)- 2024
- [c27]Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao:
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. ICDE 2024: 1282-1295 - [c26]Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao:
SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation. ICDE 2024: 3028-3041 - [c25]Ye Ding, Mingyu Shao, Jie Wang, Qi Wan:
AdMarks: Image Steganography Based on Adversarial Perturbation. WASA (3) 2024: 186-198 - [i1]Xu Yang, Jiyuan Feng, Songyue Guo, Ye Wang, Ye Ding, Binxing Fang, Qing Liao:
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning. CoRR abs/2403.09284 (2024) - 2023
- [j9]Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao:
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning. IEEE Trans. Cybern. 53(12): 7810-7823 (2023) - [c24]Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao:
FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution. DASFAA (1) 2023: 703-718 - [c23]Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao:
Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion. DASFAA (2) 2023: 768-783 - [c22]Mingyu Shao, Li Lu, Ye Ding, Qing Liao:
Minimising Distortion for GAN-Based Facial Attribute Manipulation. ICASSP 2023: 1-5 - [c21]Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao:
Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion. ICONIP (11) 2023: 153-164 - [c20]Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao:
MocGCL: Molecular Graph Contrastive Learning via Negative Selection. IJCNN 2023: 1-8 - [c19]Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao:
FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework. IJCNN 2023: 1-8 - 2022
- [j8]Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding:
An Integrated Multi-Task Model for Fake News Detection. IEEE Trans. Knowl. Data Eng. 34(11): 5154-5165 (2022) - [c18]Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao:
Improving Multi-task Stance Detection with Multi-task Interaction Network. EMNLP 2022: 2990-3000 - [c17]Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao:
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. EMNLP 2022: 5352-5362 - [c16]Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao:
Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. ICASSP 2022: 3563-3567 - [c15]Chong Mo, Ye Wang, Yan Jia, Cui Luo, Ye Ding:
Temporal Knowledge Graph Reasoning based on Graph Convolution Network. ICDIS 2022: 314-320 - 2021
- [j7]Haizhou Guo, Dian Zhang, Siyuan Liu, Lei Wang, Ye Ding:
Bitcoin price forecasting: A perspective of underlying blockchain transactions. Decis. Support Syst. 151: 113650 (2021) - [j6]Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel M. Ni:
iMatching: An interactive map-matching system. Neurocomputing 444: 126-135 (2021) - [j5]Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel M. Ni:
FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories. IEEE Internet Things J. 8(16): 12505-12517 (2021) - [c14]Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao:
FedSP: Federated Speaker Verification with Personal Privacy Preservation. ICA3PP (3) 2021: 462-478 - 2020
- [j4]Xixi Huang, Ye Ding, Zoe Lin Jiang, Shuhan Qi, Xuan Wang, Qing Liao:
DP-FL: a novel differentially private federated learning framework for the unbalanced data. World Wide Web 23(4): 2529-2545 (2020) - [c13]Yibing Guo, Yutao Huang, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao:
GPU-BTM: A Topic Model for Short Text using Auxiliary Information. DSC 2020: 198-205
2010 – 2019
- 2019
- [j3]Qing Liao, Ye Ding, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang:
Multi-task deep convolutional neural network for cancer diagnosis. Neurocomputing 348: 66-73 (2019) - [c12]Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao:
Learning Contextual Features with Multi-head Self-attention for Fake News Detection. ICCC 2019: 132-142 - [c11]Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao:
Multi-depth Graph Convolutional Networks for Fake News Detection. NLPCC (1) 2019: 698-710 - 2018
- [j2]Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding:
Diverse Mobile System for Location-Based Mobile Data. Wirel. Commun. Mob. Comput. 2018: 4217432:1-4217432:17 (2018) - 2017
- [j1]Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni:
Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport. IEEE Trans. Big Data 3(2): 126-139 (2017) - [c10]Xibo Zhou, Ye Ding, Fengchao Peng, Qiong Luo, Lionel M. Ni:
Detecting unmetered taxi rides from trajectory data. IEEE BigData 2017: 530-535 - [c9]Xibo Zhou, Ye Ding, Haoyu Tan, Qiong Luo, Lionel M. Ni:
HIMM: An HMM-Based Interactive Map-Matching System. DASFAA (2) 2017: 3-18 - [c8]Qing Liao, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding:
Cancer classification with multi-task deep learning. SPAC 2017: 76-81 - 2016
- [c7]Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni:
Clockwise compression for trajectory data under road network constraints. IEEE BigData 2016: 472-481 - [c6]Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo:
A Comparison of Road-Network-Constrained Trajectory Compression Methods. ICPADS 2016: 256-263 - 2015
- [c5]Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni:
Dissecting Regional Weather-Traffic Sensitivity Throughout a City. ICDM 2015: 739-744 - 2014
- [c4]Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni:
Inferring Road Type in Crowdsourced Map Services. DASFAA (2) 2014: 392-406 - [c3]Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni:
Exploring the Use of Diverse Replicas for Big Location Tracking Data. ICDCS 2014: 83-92 - 2013
- [c2]Ye Ding, Siyuan Liu, Jiansu Pu, Lionel M. Ni:
HUNTS: A Trajectory Recommendation System for Effective and Efficient Hunting of Taxi Passengers. MDM (1) 2013: 107-116 - [c1]Jiansu Pu, Siyuan Liu, Ye Ding, Huamin Qu, Lionel M. Ni:
T-Watcher: A New Visual Analytic System for Effective Traffic Surveillance. MDM (1) 2013: 127-136
Coauthor Index
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