Ye Ding

37 papers A* 5A 1B 2C 1Misc 2Journal 11Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection.
IEEE Trans. Neural Networks Learn. Syst.
Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao
2024 — conf
AdMarks: Image Steganography Based on Adversarial Perturbation.
WASA (3)
Ye Ding, Mingyu Shao, Jie Wang, Qi Wan
2024 J jnl
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning.
CoRR
Xu Yang, Jiyuan Feng, Songyue Guo, Ye Wang, Ye Ding, Binxing Fang, Qing Liao
2024 A* conf
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.
ICDE
Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao
2024 A* conf
SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation.
ICDE
Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao
2023 J jnl
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.
IEEE Trans. Cybern.
Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao
2023 — conf
Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion.
ICONIP (11)
Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao
2023 B conf
FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework.
IJCNN
Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao
2023 — conf
FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution.
DASFAA (1)
Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao
2023 Misc conf
Minimising Distortion for GAN-Based Facial Attribute Manipulation.
ICASSP
Mingyu Shao, Li Lu, Ye Ding, Qing Liao
2023 B conf
MocGCL: Molecular Graph Contrastive Learning via Negative Selection.
IJCNN
Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao
2023 — conf
Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion.
DASFAA (2)
Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao
2022 A* conf
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis.
EMNLP
Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao
2022 J jnl
An Integrated Multi-Task Model for Fake News Detection.
IEEE Trans. Knowl. Data Eng.
Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding
2022 Misc conf
Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network.
ICASSP
Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao
2022 A* conf
Improving Multi-task Stance Detection with Multi-task Interaction Network.
EMNLP
Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao
2022 — conf
Temporal Knowledge Graph Reasoning based on Graph Convolution Network.
ICDIS
Chong Mo, Ye Wang, Yan Jia, Cui Luo, Ye Ding
2021 J jnl
Bitcoin price forecasting: A perspective of underlying blockchain transactions.
Decis. Support Syst.
Haizhou Guo, Dian Zhang, Siyuan Liu, Lei Wang, Ye Ding
2021 — conf
FedSP: Federated Speaker Verification with Personal Privacy Preservation.
ICA3PP (3)
Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao
2021 J jnl
FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories.
IEEE Internet Things J.
Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel M. Ni
2021 J jnl
iMatching: An interactive map-matching system.
Neurocomputing
Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel M. Ni
2020 J jnl
DP-FL: a novel differentially private federated learning framework for the unbalanced data.
World Wide Web
Xixi Huang, Ye Ding, Zoe Lin Jiang, Shuhan Qi, Xuan Wang, Qing Liao
2020 — conf
GPU-BTM: A Topic Model for Short Text using Auxiliary Information.
DSC
Yibing Guo, Yutao Huang, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao
2019 C conf
Learning Contextual Features with Multi-head Self-attention for Fake News Detection.
ICCC
Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao
2019 — conf
Multi-depth Graph Convolutional Networks for Fake News Detection.
NLPCC (1)
Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao
2019 J jnl
Multi-task deep convolutional neural network for cancer diagnosis.
Neurocomputing
Qing Liao, Ye Ding, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang
2018 J jnl
Diverse Mobile System for Location-Based Mobile Data.
Wirel. Commun. Mob. Comput.
Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding
2017 — conf
Cancer classification with multi-task deep learning.
SPAC
Qing Liao, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding
2017 J jnl
Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport.
IEEE Trans. Big Data
Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni
2017 — conf
Detecting unmetered taxi rides from trajectory data.
IEEE BigData
Xibo Zhou, Ye Ding, Fengchao Peng, Qiong Luo, Lionel M. Ni
2017 — conf
HIMM: An HMM-Based Interactive Map-Matching System.
DASFAA (2)
Xibo Zhou, Ye Ding, Haoyu Tan, Qiong Luo, Lionel M. Ni
2016 — conf
Clockwise compression for trajectory data under road network constraints.
IEEE BigData
Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni
2015 A* conf
Dissecting Regional Weather-Traffic Sensitivity Throughout a City.
ICDM
Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni
2014 A conf
Exploring the Use of Diverse Replicas for Big Location Tracking Data.
ICDCS
Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni
2014 — conf
Inferring Road Type in Crowdsourced Map Services.
DASFAA (2)
Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni
2013 — conf
HUNTS: A Trajectory Recommendation System for Effective and Efficient Hunting of Taxi Passengers.
MDM (1)
Ye Ding, Siyuan Liu, Jiansu Pu, Lionel M. Ni
2013 — conf
T-Watcher: A New Visual Analytic System for Effective Traffic Surveillance.
MDM (1)
Jiansu Pu, Siyuan Liu, Ye Ding, Huamin Qu, Lionel M. Ni