百晓学者学者目录

丁烨

副教授、硕士生导师，东莞理工学院

精选作品

期刊论文

2026

FetalUS-Net: A Hybrid Mamba-Attention Network for Automated Recognition of Standard Fetal Ultrasound Planes

Zhihao Li, Liyan Chen, Ye Ding, Xiuxiu Hao

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2026

Improving Binding Free Energy Predictions with Swap Monte Carlo for Water Sampling.

Ye Ding, Xin-Yan Wang, Rongfeng Zou, Tianming Qu, Hang Zheng

Journal of Chemical Theory and Computation

DOI

2026

Terminal-Flip Monte Carlo: Accelerating the Convergence of Molecular Dynamics and Alchemical Free Energy Calculations.

Xinyang Wang, Ye Ding, Rongfeng Zou, Tianming Qu, Hang Zheng

Journal of Chemical Theory and Computation

DOI

2025

Syntax-Guided Pre-Training and Self-Training for Domain Adaptation in Aspect Term Extraction

Anguo Dong, Xu Yang, Cuiyun Gao, Ye Ding, Qing Liao

DOI

2025

Implementing traffic agent based on LangGraph

haitian chen, Ye Ding

International Conference on Intelligent Traffic Systems and Smart City (ITSSC)

DOI

2025

Molecular Dynamics Simulations Accelerated on FPGA with High-Bandwidth Memory

Jing Xiao, Jinfeng Chen, Ye Ding, You Xu, Jing Huang

Digital Discovery

DOI

2024

A Competition for the Diagnosis of Myopic Maculopathy by Artificial Intelligence Algorithms

Bo Qian, Bin Sheng, Hao Chen, Xiangning Wang, Tingyao Li, Yixiao Jin, Zhouyu Guan, Zehua Jiang, Yi-Lan Wu, Jinyuan Wang, Ting‐Li Chen, Zhengrui Guo, X. Chen, Dawei Yang, Junlin Hou, Rui Feng, Fan Xiao, Yihao Li, Mostafa El Habib Daho, Lu Li, Ye Ding, Di Liu, Bo Yang, Wenhui Zhu, Yalin Wang, Hyeonmin Kim, Hyeonseob Nam, Huayu Li, Wei‐Chi Wu, Qiang En Wu, Rongping Dai, Huating Li, Marcus Ang, Daniel Shu Wei Ting, Carol Yim-Lui Cheung, Xiaofei Wang, Ching‐Yu Cheng, Gavin Siew Wei Tan, Kyoko Ohno‐Matsui, Jost Bruno Jonas, Yingfeng Zheng, Yih Chung Tham, Tien Yin Wong, Ya Xing Wang

JAMA Ophthalmology

DOI

2024

Positive connotations of map-matching based on sub-city districts for trajectory data analytics

Zheng-Yun Zhuang, Ye Ding

Internet of Things

DOI

2024

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

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

Proceedings - International Conference on Data Engineering

DOI

2024

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

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

Proceedings - International Conference on Data Engineering

DOI

2024

Identifying the Most Probable Transition Path with Constant Advance Replicas.

Zi-Lin Song, You Xu, He Zhang, Ye Ding, Jing Huang

Journal of Chemical Theory and Computation

DOI

2024

Implementation and Validation of an OpenMM Plugin for the Deep Potential Representation of Potential Energy

Ye Ding, Jing Huang

International Journal of Molecular Sciences

DOI

2023

Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion

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

Communications in computer and information science

DOI

2023

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 Transactions on Neural Networks and Learning Systems

DOI

2023

Traffic Spatial-Temporal Transformer for Traffic Prediction

Zhiyang He, Ye Ding

International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)

DOI

2023

FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework

Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao

DOI

2023

Minimising Distortion for GAN-Based Facial Attribute Manipulation

Mingyu Shao, Li Lu, Ye Ding, Qing Liao

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2023

PLA: Fast and Accurate Face Alignment Network based on Prior Landmarks

Haobin Li, Ye Ding, Mingyu Shao, Li Lu, Juncai Huang

International Conference on Neural Networks, Information and Communication Engineering (NNICE)

DOI

2023

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

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

Lecture notes in computer science

DOI

2023

Constant advance replicas method for locating minimum energy paths and transition states

Zi-Lin Song, Ye Ding, Jing Huang

Journal of Computational Chemistry

DOI

2023

DP/MM: A Hybrid Model for Zinc-Protein Interactions in Molecular Dynamics

Ye Ding, Jing Huang

bioRxiv

DOI

2022

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 Transactions on Cybernetics

DOI

2022

Temporal Knowledge Graph Reasoning based on Graph Convolution Network

Chong Mo, Ye Wang, Yan Jia, Cui Luo, Ye Ding

International Conference on Data Intelligence and Security (ICDIS)

DOI

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

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2022

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

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

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2022

FedSP: Federated Speaker Verification with Personal Privacy Preservation

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

Lecture notes in computer science

DOI

2022

Data science techniques in biomolecular force field development.

Ye Ding, Kuang Yu, Jing Huang

Current Opinion in Structural Biology

DOI

2021

Bitcoin price forecasting: A perspective of underlying blockchain transactions

Haizhou Guo, Dian Zhang, Siyuan Liu, Lei Wang, Ye Ding

Decision Support Systems，Vol. 151

DOI

2021

An Integrated Multi-Task Model for Fake News Detection

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

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

iMatching: An interactive map-matching system

Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel Ming-shuan Ni

Neurocomputing

DOI

2021

Binding Energy and Free Energy of Calcium Ion to Calmodulin EF-Hands with the Drude Polarizable Force Field

Qiao-Zhu Tan, Ye Ding, Zongyang Qiu, Jing Huang

ACS Physical Chemistry Au

DOI

2020

结合三元组重要性的知识图谱补全模型

李忠文，丁烨，花忠云，李君一，廖清

《计算机科学》

2020

FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories

Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel Ming-shuan Ni

IEEE Internet of Things Journal

DOI

2020

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

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

IEEE International Conference on Data Science in Cyberspace

DOI

2020

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

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

World Wide Web

DOI

2020

Predicting partition coefficients of drug-like molecules in the SAMPL6 challenge with Drude polarizable force fields

Ye Ding, You Xu, Cheng Qian, Jinfeng Chen, Jian Zhu, Houhou Huang, Yi Shi, Jing Huang

Journal of Computer-Aided Molecular Design

DOI

2019

Multi-depth Graph Convolutional Networks for Fake News Detection

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

Lecture notes in computer science

DOI

2019

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

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

Lecture notes in computer science

DOI

预印本

2025

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

Jinzhe Zeng, Duo Zhang, Anyang Peng, Xiangyu Zhang, Sensen He, Yan Wang, Xinzijian Liu, Hangrui Bi, Yifan Li, Chun Cai, Chengqian Zhang, Yiming Du, Jia-Xin Zhu, Pinghui Mo, Zhengtao Huang, Qiyu Zeng, Shaochen Shi, Xuejian Qin, Zhaoxi Yu, Chenxing Luo, Ye Ding, Yun-Pei Liu, Ruosong Shi, Zhenyu Wang, Sigbjørn Løland Bore, Junhan Chang, Zhe Deng, Zhaohan Ding, Siyuan Han, Wanrun Jiang, Guolin Ke, Zhaoqing Liu, Denghui Lu, Koki Muraoka, Hananeh Oliaei, Anurag Kumar Singh, Haohui Que, Weihong Xu, Zhangmancang Xu, Yong-Bin Zhuang, Jiayu Dai, Timothy J. Giese, Weile Jia, Ben Xu, Darrin M. York, Linfeng Zhang, Han Wang

arXiv preprint

DOI

2024

DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning

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

arXiv (Cornell University)

DOI

2023

DeePMD-kit v2: A software package for Deep Potential models

Jinzhe Zeng, Duo Zhang, Denghui Lu, Pinghui Mo, Zeyu Li, Yixiao Chen, Marián Rynik, Li'ang Huang, Ziyao Li, Shaochen Shi, Yingze Wang, Haotian Ye, Ping Tuo, Jiabin Yang, Ye Ding, Yifan Li, Davide Tisi, Qiyu Zeng, Han Bao, Yu Xia, Jiameng Huang, Koki Muraoka, Yibo Wang, Junhan Chang, Fengbo Yuan, Sigbjørn Løland Bore, Chun Cai, Yinnian Lin, Bo Wang, Jiayan Xu, Jia-Xin Zhu, Chenxing Luo, Yuzhi Zhang, Rhys E. A. Goodall, Wenshuo Liang, Anurag Kumar Singh, Sikai Yao, Jingchao Zhang, Renata Wentzcovitch, Jiequn Han, Jie Liu, Weile Jia, Darrin M. York, Weinan E, Roberto Car, Linfeng Zhang, Han Wang

arXiv preprint

DOI

研究方向

大数据与人工智能

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