HUNTS: A Trajectory Recommendation System for Effective and Efficient Hunting of Taxi Passengers. - Ye Ding 002; Siyuan Liu 001; Jiansu Pu; Lionel M. Ni (MDM (1), 2013)

T-Watcher: A New Visual Analytic System for Effective Traffic Surveillance. - Jiansu Pu; Siyuan Liu 001; Ye Ding 002; Huamin Qu; Lionel M. Ni (MDM (1), 2013)

Inferring Road Type in Crowdsourced Map Services. - Ye Ding 002; Jiangchuan Zheng; Haoyu Tan; Wuman Luo; Lionel M. Ni (DASFAA (2), 2014)

Exploring the Use of Diverse Replicas for Big Location Tracking Data. - Ye Ding 002; Haoyu Tan; Wuman Luo; Lionel M. Ni (ICDCS, 2014)

Dissecting Regional Weather-Traffic Sensitivity Throughout a City. - Ye Ding 002; Yanhua Li; Ke Deng; Haoyu Tan; Mingxuan Yuan; Lionel M. Ni (ICDM, 2015)

Clockwise compression for trajectory data under road network constraints. - Yudian Ji; Yuda Zang; Wuman Luo; Xibo Zhou; Ye Ding 002; Lionel M. Ni (IEEE BigData, 2016)

Detecting unmetered taxi rides from trajectory data. - Xibo Zhou; Ye Ding 002; Fengchao Peng; Qiong Luo 001; Lionel M. Ni (IEEE BigData, 2017)

HIMM: An HMM-Based Interactive Map-Matching System. - Xibo Zhou; Ye Ding 002; Haoyu Tan; Qiong Luo 001; Lionel M. Ni (DASFAA (2), 2017)

Cancer classification with multi-task deep learning. - Qing Liao 001; Zoe Lin Jiang; Xuan Wang 002; Chunkai Zhang; Ye Ding 002 (SPAC, 2017)

Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport. - Ye Ding 002; Yanhua Li; Ke Deng; Haoyu Tan; Mingxuan Yuan; Lionel M. Ni (IEEE Trans. Big Data, 2017)

Learning Contextual Features with Multi-head Self-attention for Fake News Detection. - Yangqian Wang; Hao Han; Ye Ding 002; Xuan Wang 002; Qing Liao 001 (ICCC, 2019)

Multi-depth Graph Convolutional Networks for Fake News Detection. - Guoyong Hu; Ye Ding 002; Shuhan Qi; Xuan Wang 002; Qing Liao 001 (NLPCC (1), 2019)

Multi-task deep convolutional neural network for cancer diagnosis. - Qing Liao 001; Ye Ding 002; Zoe Lin Jiang; Xuan Wang 002; Chunkai Zhang; Qian Zhang 001 (Neurocomputing, 2019)

GPU-BTM: A Topic Model for Short Text using Auxiliary Information. - Yibing Guo; Yutao Huang; Ye Ding 002; Shuhan Qi; Xuan Wang 002; Qing Liao 001 (DSC, 2020)

DP-FL: a novel differentially private federated learning framework for the unbalanced data. - Xixi Huang; Ye Ding 002; Zoe Lin Jiang; Shuhan Qi; Xuan Wang 002; Qing Liao 001 (World Wide Web, 2020)

FedSP: Federated Speaker Verification with Personal Privacy Preservation. - Yangqian Wang; Yuanfeng Song; Di Jiang; Ye Ding 002; Xuan Wang 002; Yang Liu 039; Qing Liao 001 (ICA3PP (3), 2021)

iMatching: An interactive map-matching system. - Ye Ding 002; Xibo Zhou; Qing Liao 001; Haoyu Tan; Qiong Luo 001; Lionel M. Ni (Neurocomputing, 2021)

FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories. - Ye Ding 002; Wenyi Zhang; Xibo Zhou; Qing Liao 001; Qiong Luo 001; Lionel M. Ni (IEEE Internet Things J., 2021)

Improving Multi-task Stance Detection with Multi-task Interaction Network. - Heyan Chai 001; Siyu Tang; Jinhao Cui; Ye Ding 002; Binxing Fang; Qing Liao 001 (EMNLP, 2022)

Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. - Siyu Tang; Heyan Chai 001; Ziyi Yao; Ye Ding 002; Cuiyun Gao 001; Binxing Fang; Qing Liao 001 (EMNLP, 2022)

Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. - Heyan Chai 001; Weijun Su; Siyu Tang; Ye Ding 002; Binxing Fang; Qing Liao 001 (ICASSP, 2022)

An Integrated Multi-Task Model for Fake News Detection. - Qing Liao 001; Heyan Chai 001; Hao Han; Xiang Zhang 008; Xuan Wang 002; Wen Xia; Ye Ding 002 (IEEE Trans. Knowl. Data Eng., 2022)

Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion. - Xing Gong; Jianyang Qin; Heyan Chai 001; Ye Ding 002; Yan Jia 001; Qing Liao 001 (DASFAA (2), 2023)

MocGCL: Molecular Graph Contrastive Learning via Negative Selection. - Jinhao Cui; Heyan Chai 001; Yanbin Gong; Ye Ding 002; Zhongyun Hua; Cuiyun Gao 001; Qing Liao 001 (IJCNN, 2023)

A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning. - Heyan Chai 001; Zhe Yin; Ye Ding 002; Li Liu 002; Binxing Fang; Qing Liao 001 (IEEE Trans. Cybern., 2023)

SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation. - Jinhao Cui; Heyan Chai 001; Xu Yang; Ye Ding 002; Binxing Fang; Qing Liao 001 (ICDE, 2024)

MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. - Jianyang Qin; Yan Jia 001; Yongxin Tong; Heyan Chai 001; Ye Ding 002; Xuan Wang 002; Binxing Fang; Qing Liao 001 (ICDE, 2024)

DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning. - Xu Yang; Jiyuan Feng; Songyue Guo; Ye Wang 015; Ye Ding 002; Binxing Fang; Qing Liao 001 (CoRR, 2024)

MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection. - Heyan Chai 001; Jinhao Cui; Siyu Tang; Ye Ding 002; Xinwang Liu 002; Binxing Fang; Qing Liao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)