Paper
(CCF A, EI) MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting 
IEEE International Conference on Data Engineering (ICDE), 2024
Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao
(CCF A, EI) SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation
IEEE International Conference on Data Engineering (ICDE), 2024
Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao
(CCF B, SCI Q1) A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning
IEEE Transactions on Cybernetics, Volume 53, Issue 12, Pages 7810-7823, 2023
Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao
(CCF B, SCI Q1) MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Volume PP, Issue PP, Pages PP-PP, 2023
Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao
(CCF B, EI) Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
Li Lu, Xuhao Pan, Panji Jin, Ye Ding
(EI) Traffic Spatial-Temporal Transformer for Traffic Prediction
International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), 2023
Zhiyang He, Ye Ding
(CCF C, EI) Adaptive Multi-hop Neighbor Selection for Few-shot Knowledge Graph Completion
International Conference on Neural Information Processing (ICONIP), 2023
Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao
(CCF C, EI) FAU-Gaze: Fast and Accurate User-Specific Gaze Estimation Framework
International Joint Conference on Neural Networks (IJCNN), 2023
Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao
(CCF C, EI) MocGCL: Molecular Graph Contrastive Learning via Negative Selection
International Joint Conference on Neural Networks (IJCNN), 2023
Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao
插电式混合动力汽车绿色路径规划研究
交通节能与环保，第 19 卷，第 97 期，1-6 页，2023
何智杨，丁烨
(EI) Automatic Front-end Code Generation from Image via Multi-Head Attention
IEEE International Conference on Computer Engineering and Application (ICCEA), 2023
Zhihang Zhang, Ye Ding , Chenlin Huang
(EI) PLA: Fast and Accurate Face Alignment Network based on Prior Landmarks
International Conference on Neural Networks, Information and Communication Engineering (NNICE), 2023
Haobin Li, Ye Ding , Mingyu Shao, Li Lu, Juncai Huang
(CCF B, EI) Minimising Distortion for GAN-based Facial Attribute Manipulation
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Mingyu Shao, Li Lu, Ye Ding , Qing Liao
(CCF B, EI) FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution
International Conference on Database Systems for Advanced Applications (DASFAA), 2023
Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao
(CCF B, EI) Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion
International Conference on Database Systems for Advanced Applications (DASFAA), 2023
Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao
(EI) A Hybrid scheme for Parsing Cantonese Text Based on PyCantonese Plus and PyLTP
European Conference on Natural Language Processing and Information Retrieval (ECNLPIR), 2022
Chunxiao Huang, Chunyu Li, Shaowen Yao, Ye Ding, Mingsuo Bao, Kun She
(EI) Generating Manga Images from Sketch via GAN
International Conference on Computer Engineering and Intelligent Control (ICCEIC), 2022
Ziyuan Liu, Ye Ding , Qi Wan, Zhiyang He, Qing Zhang
(CCF B, EI) Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis
International Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding , Cuiyun Gao, Binxing Fang, Qing Liao
(EI) Temporal Knowledge Graph Reasoning based on Graph Convolution Network
International Conference on Data Intelligence and Security (ICDIS), 2022
Chong Mo, Ye Wang, Yan Jia, Cui Luo, Ye Ding
(EI) MultiShadow: Shadow Synthesis for Multiple Virtual Objects
International Conference on Data Intelligence and Security (ICDIS), 2022
Ye Ding, Qi Wan, Ziyuan Liu, Jie Wang
从频域角度重新分析对抗样本
信息技术与网络安全，第 41 卷，第 5 期，59-65 页，2022
丁烨，王杰，宛齐，廖清
(CCF B, EI) Improving Anomaly Detection with a Self-supervised Task Based on Generative Adversarial Network
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao
(CCF A, SCI Q1) An Integrated Multi-Task Model for Fake News Detection
IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 34, Issue 11, Pages 5154-5165, 2022
Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding
(CCF C, EI) FedSP: Federated Speaker Verification with Personal Privacy Preservation
International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2021
Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao
(CCF C, SCI Q1) Bitcoin Price Forecasting: A Perspective of Underlying Blockchain Transactions
Decision Support Systems (DSS), Volume 151, Article ID 113650, 2021
Haizhou Guo, Dian Zhang, Siyuan Liu, Lei Wang, Ye Ding
(SCI Q1) FraudTrip: Taxi Fraudulent Trip Detection from Corresponding Trajectories
IEEE Internet of Things Journal (IoT-J), Volume 8, Issue 16, Pages 12505-12517, 2021
Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel M. Ni
(CCF C, SCI Q2) iMatching: An Interactive Map-matching System
Neurocomputing, Volume 444, Pages 126-135, 2021
Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel M. Ni
(CCF B) 结合三元组重要性的知识图谱补全模型
计算机科学，第 47 卷，第 11 期，231-236 页，2020
李忠文，丁烨，花忠云，李君一，廖清
(EI) GPU-BTM: A Topic Model for Short Text using Auxiliary Information
IEEE International Conference on Data Science in Cyberspace (DSC), 2020
Yibing Guo, Yutao Huang, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao
(CCF B, SCI Q3) DP-FL: A Novel Differentially Private Federated Learning Framework for the Unbalanced Data
World Wide Web: Internet and Web Information Systems (WWW), Volume 23, Pages 2529–2545, 2020
Xixi Huang, Ye Ding, Zoe L. Jiang, Shuhan Qi, Xuan Wang, Qing Liao
(CCF C, EI) Multi-Depth Graph Convolutional Networks for Fake News Detection
CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2019
Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao
(EI) Learning Contextual Features with Multi-head Self-attention for Fake News Detection
International Conference on Cognitive Computing (ICCC), 2019
Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao
(CCF C, SCI Q2) Multi-task Deep Convolutional Neural Network for Cancer Diagnosis
Neurocomputing, Volume 348, Pages 66-73, 2019
Qing Liao, Ye Ding, Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang
(CCF C, SCI Q4) Diverse Mobile System for Location-based Mobile Data
Wireless Communications & Mobile Computing (WCMC), Volume 2018, Article ID 4217432, 2018
Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding
(EI) Cancer Classification with Multi-Task Deep Learning
IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), 2017
Qing Liao, Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding
(CCF C, EI) Detecting Unmetered Taxi Rides from Trajectory Data
IEEE International Conference on Big Data (BigData), 2017
Xibo Zhou, Ye Ding, Fengchao Peng, Qiong Luo, Lionel M. Ni
(CCF B, EI) HIMM: An HMM-Based Interactive Map-Matching System
International Conference on Database Systems for Advanced Applications (DASFAA), 2017
Xibo Zhou, Ye Ding, Haoyu Tan, Qiong Luo, Lionel M. Ni
(CCF C, SCI Q2) Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport
IEEE Transactions on Big Data (TBD), Volume 3, Number 2, Pages 126-139, 2016
Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni
(CCF C, EI) Clockwise Compression for Trajectory Data under Road Network Constraints
IEEE International Conference on Big Data (BigData), 2016
Yudian Ji, Yuda Zang, Wuman Luo, Xibo Zhou, Ye Ding, Lionel M. Ni
(CCF C, EI) A Comparison of Road-Network-Constrained Trajectory Compression Methods
IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2016
Yudian Ji, Hao Liu, Xiaoying Liu, Ye Ding, Wuman Luo
(CCF B, EI) Dissecting Regional Weather-Traffic Sensitivity throughout a City
IEEE International Conference on Data Mining (ICDM), 2015
Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni
(CCF A, EI) Growing the Charging Station Network for Electric Vehicles with Trajectory Data Analytics
IEEE International Conference on Data Engineering (ICDE), 2015
Yanhua Li, Jun Luo, Chi-Yin Chow, Kam-Lam Chan, Ye Ding, Fan Zhang
(CCF B, EI) Exploring the Use of Diverse Replicas for Big Location Tracking Data
International Conference on Distributed Computing Systems (ICDCS), 2014
Ye Ding, Haoyu Tan, Wuman Luo, Lionel M. Ni
(CCF B, EI) Inferring Road Type in Crowdsourced Map Services
International Conference on Database Systems for Advanced Applications (DASFAA), 2014
Ye Ding, Jiangchuan Zheng, Haoyu Tan, Wuman Luo, Lionel M. Ni
(CCF C, EI) HUNTS: A Trajectory Recommendation System for Effective and Efficient Hunting of Taxi Passengers
IEEE International Conference on Mobile Data Management (MDM), 2013
Ye Ding, Siyuan Liu, Jiansu Pu, Lionel M. Ni
(CCF C, EI) T-Watcher: A New Visual Analytic System for Effective Traffic Surveillance
IEEE International Conference on Mobile Data Management (MDM), 2013
Jiansu Pu, Siyuan Liu, Ye Ding, Huamin Qu, Lionel M. Ni