Ye Ding

According to our database, Ye Ding authored at least 29 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection.

Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao

IEEE Trans. Neural Networks Learn. Syst., February, 2025

2024

DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning.

Xu Yang, Jiyuan Feng, Songyue Guo, Ye Wang, Ye Ding, Binxing Fang, Qing Liao

CoRR, 2024

MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.

Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation.

Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.

Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao

IEEE Trans. Cybern., December, 2023

MocGCL: Molecular Graph Contrastive Learning via Negative Selection.

Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao

Proceedings of the International Joint Conference on Neural Networks, 2023

Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion.

Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao

Proceedings of the Database Systems for Advanced Applications, 2023

2022

An Integrated Multi-Task Model for Fake News Detection.

Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding

IEEE Trans. Knowl. Data Eng., 2022

Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network.

Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the IEEE International Conference on Acoustics, 2022

Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis.

Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Multi-task Stance Detection with Multi-task Interaction Network.

Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories.

Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel M. Ni

IEEE Internet Things J., 2021

iMatching: An interactive map-matching system.

Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel M. Ni

Neurocomputing, 2021

FedSP: Federated Speaker Verification with Personal Privacy Preservation.

Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

DP-FL: a novel differentially private federated learning framework for the unbalanced data.

Xixi Huang, Ye Ding, Zoe Lin Jiang, Shuhan Qi, Xuan Wang, Qing Liao

World Wide Web, 2020

GPU-BTM: A Topic Model for Short Text using Auxiliary Information.

Yibing Guo, Yutao Huang, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019

Multi-task deep convolutional neural network for cancer diagnosis.

Qing Liao, Ye Ding, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang

Neurocomputing, 2019

Multi-depth Graph Convolutional Networks for Fake News Detection.

Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Learning Contextual Features with Multi-head Self-attention for Fake News Detection.

Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao

Proceedings of the Cognitive Computing - ICCC 2019, 2019

2017

Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport.

Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni

IEEE Trans. Big Data, 2017

Cancer classification with multi-task deep learning.

Qing Liao, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding

Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

HIMM: An HMM-Based Interactive Map-Matching System.

Xibo Zhou, Ye Ding, Haoyu Tan, Qiong Luo, Lionel M. Ni

Proceedings of the Database Systems for Advanced Applications, 2017

Detecting unmetered taxi rides from trajectory data.

Xibo Zhou, Ye Ding, Fengchao Peng, Qiong Luo, Lionel M. Ni

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Clockwise compression for trajectory data under road network constraints.

Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Dissecting Regional Weather-Traffic Sensitivity Throughout a City.

Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Exploring the Use of Diverse Replicas for Big Location Tracking Data.

Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni

Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

Inferring Road Type in Crowdsourced Map Services.

Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni

Proceedings of the Database Systems for Advanced Applications, 2014

2013

T-Watcher: A New Visual Analytic System for Effective Traffic Surveillance.

Jiansu Pu, Siyuan Liu, Ye Ding, Huamin Qu, Lionel M. Ni

Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

HUNTS: A Trajectory Recommendation System for Effective and Efficient Hunting of Taxi Passengers.

Ye Ding, Siyuan Liu, Jiansu Pu, Lionel M. Ni

Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013