Neural mass models describing possible origin of the excessive beta oscillations correlated with Parkinsonian state. - Chen Liu 003; Yulin Zhu; Fei Liu; Jiang Wang 002; Huiyan Li; Bin Deng 001; Chris Fietkiewicz; Kenneth A. Loparo (Neural Networks, 2017)

ProtDec-LTR3.0: Protein Remote Homology Detection by Incorporating Profile-Based Features Into Learning to Rank. - Bin Liu 014; Yulin Zhu (IEEE Access, 2019)

A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction. - Yajiao Tang; Junkai Ji; Yulin Zhu; Shangce Gao; Zheng Tang; Yuki Todo (Complex., 2019)

Fold-LTR-TCP: protein fold recognition based on triadic closure principle. - Bin Liu 014; Yulin Zhu; Ke Yan 003 (Briefings Bioinform., 2020)

Structural Attack against Graph Based Android Malware Detection. - Kaifa Zhao; Hao Zhou 009; Yulin Zhu; Xian Zhan; Kai Zhou 001; Jianfeng Li 006; Le Yu 002; Wei Yuan 001; Xiapu Luo (CCS, 2021)

Attacking Similarity-Based Sign Prediction. - Michal Tomasz Godziszewski; Tomasz P. Michalak; Marcin Waniek; Talal Rahwan; Kai Zhou 001; Yulin Zhu (ICDM, 2021)

Research on the Optimization of a Track Circuit Maintenance Strategy Based on the BB-MOPSO Algorithm. - Lei Shi 029; Zhongji Su; Youpeng Zhang; Yulin Zhu (IEEE Access, 2021)

Fault Diagnosis of Signal Equipment on the Lanzhou-Xinjiang High-Speed Railway Using Machine Learning for Natural Language Processing. - Lei Shi 029; Yulin Zhu; Youpeng Zhang; Zhongji Su (Complex., 2021)

An Adaptive Hint System for Puzzle Games: A Multimodal-based Approach. - Hao He; Yulin Zhu; Wei Cai 002 (GEM, 2022)

Ski Fall Detection from Digital Images Using Deep Learning. - Yulin Zhu; Wei Qi Yan 001 (ICCCV, 2022)

Image-Based Storytelling Using Deep Learning. - Yulin Zhu; Wei Qi Yan 001 (ICCCV, 2022)

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jian Ren 001; Kai Zhou 001 (ICDE, 2022)

Adaptive closed-loop control strategy inhibiting pathological basal ganglia oscillations. - Kuanchuan Wang; Jiang Wang 002; Yulin Zhu; Huiyan Li; Chen Liu 003; Chris Fietkiewicz; Kenneth A. Loparo (Biomed. Signal Process. Control., 2022)

Impact of Labour Productivity Differences on Urban-Rural Integration Development and Its Spatial Effect: Evidence from a Spatial Durbin Model. - Wei Wang 463; Yulin Zhu (Complex., 2022)

Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs. - Yulin Zhu; Tomasz P. Michalak; Xiapu Luo; Kai Zhou 001 (CoRR, 2022)

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification. - Yulin Zhu; Liang Tong; Kai Zhou 001 (CoRR, 2022)

Adopting a dendritic neural model for predicting stock price index movement. - Yajiao Tang; Zhenyu Song; Yulin Zhu; Maozhang Hou; Cheng Tang 001; Junkai Ji (Expert Syst. Appl., 2022)

A survey on machine learning models for financial time series forecasting. - Yajiao Tang; Zhenyu Song; Yulin Zhu; Huaiyu Yuan; Maozhang Hou; Junkai Ji; Cheng Tang 001; Jianqiang Li 001 (Neurocomputing, 2022)

Simple yet Effective Gradient-Free Graph Convolutional Networks. - Yulin Zhu; Xing Ai; Qimai Li; Xiao-Ming Wu 003; Kai Zhou 001 (CoRR, 2023)

Homophily-Driven Sanitation View for Robust Graph Contrastive Learning. - Yulin Zhu; Xing Ai; Yevgeniy Vorobeychik; Kai Zhou 001 (CoRR, 2023)

Dual-Space Attacks against Random-Walk-based Anomaly Detection. - Yuni Lai; Marcin Waniek; Yulin Zhu; Liying Li; Jingwen Wu; Tomasz P. Michalak; Talal Rahwan; Kai Zhou 001 (CoRR, 2023)

Sinogram domain metal artifact correction of CT via deep learning. - Yulin Zhu; Hanqing Zhao; Tangsheng Wang; Lei Deng; Yupeng Yang; Yuming Jiang 005; Na Li; Yinping Chan; Jingjing Dai; Chulong Zhang; Yunhui Li; Yaoqin Xie; et al. (Comput. Biol. Medicine, 2023)

A Deep Brain Stimulation Optimization Strategy Based on Actor-Critic Network. - Kuanchuan Wang; Jiang Wang; Chen Liu; Yulin Zhu (I2MTC, 2024)

Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network. - Yu Bu; Yulin Zhu; Longling Geng; Kai Zhou 001 (ICASSP, 2024)

Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks. - Yuwei Han; Yuni Lai; Yulin Zhu; Kai Zhou 001 (ICASSP, 2024)

Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. - Xing Ai; Jialong Zhou; Yulin Zhu; Gaolei Li; Tomasz P. Michalak; Xiapu Luo; Kai Zhou 001 (ICDE, 2024)

Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks. - Yuni Lai; Yulin Zhu; Bailin Pan; Kai Zhou 001 (SP, 2024)

Adversarial analysis of similarity-based sign prediction. - Michal Tomasz Godziszewski; Marcin Waniek; Yulin Zhu; Kai Zhou 001; Talal Rahwan; Tomasz P. Michalak (Artif. Intell., 2024)

Universally Robust Graph Neural Networks by Preserving Neighbor Similarity. - Yulin Zhu; Yuni Lai; Xing Ai; Kai Zhou 001 (CoRR, 2024)

SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks. - Xing Ai; Guanyu Zhu; Yulin Zhu; Yu Zheng 021; Gaolei Li; Jianhua Li 001; Kai Zhou 001 (CoRR, 2024)

Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. - Yuni Lai; Marcin Waniek; Liying Li; Jingwen Wu; Yulin Zhu; Tomasz P. Michalak; Talal Rahwan; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. - Yuni Lai; Yulin Zhu; Wenqi Fan; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Toward Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks. - Yulin Zhu; Tomasz P. Michalak; Xiapu Luo; Xiaoge Zhang 001; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2024)

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-Based Node Classification. - Yulin Zhu; Liang Tong; Gaolei Li; Xiapu Luo; Kai Zhou 001 (IEEE Trans. Knowl. Data Eng., 2024)

Crowdsourced Homophily Ties Based Graph Annotation Via Large Language Model. - Yu Bu; Yulin Zhu; Kai Zhou 001 (ICASSP, 2025)

WMPA-ConvBERT-BM: A hybrid deep learning model optimized by whale-marine predator algorithm for IoT-enabled malicious URL detection. - Zihan Zhao; Yulin Zhu; Shilong Zhang; Amr Tolba; Osama Alfarraj; Keping Yu (Internet Things, 2025)

Robust Graph Contrastive Learning With Information Restoration. - Yulin Zhu; Xing Ai; Yevgeniy Vorobeychik; Kai Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2025)

AuditVotes: A Framework Towards More Deployable Certified Robustness for Graph Neural Networks. - Yuni Lai; Yulin Zhu; Yixuan Sun; Yulun Wu; Bin Xiao; Gaolei Li; Jianhua Li; Kai Zhou (CoRR, 2025)

From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. - Yulin Zhu; Yuni Lai; Kaifa Zhao; Xiapu Luo; Mingquan Yuan; Jun Wu 001; Jian Ren 001; Kai Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unleashing the power of indirect attacks against trust prediction via preferential path. - Yu Bu; Yulin Zhu; Longling Geng; Kai Zhou 001 (Knowl. Inf. Syst., 2025)

Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting. - Zhenan Lin; Yuni Lai; Wai Lun Lo; Richard Tai Chiu Hsung; Harris Sik-Ho Tsang; Xiaoyu Xue; Kai Zhou; Yulin Zhu (CoRR, 2025)