Identifying abstinent heroin addicts on the basis of single channel's ERP and behavioral data in the gambling task. - Xiaozhe Liang; Yanrong Hao; Zhihao Xu; Na Li; Qinglin Zhao (BIBM, 2020)

Abnormal Attentional Bias of Non-Drug Reward in Abstinent Heroin Addicts: An ERP Study. - Yanrong Hao; Yonghui Li; Jianxiu Li; Hong Peng 003; Qinglin Zhao; Bin Hu 001 (IEEE Trans. Affect. Comput., 2022)

Dysfunctional brain dynamics in Subjects with major depression: An EEG microstate spectral analysis. - Jianxiu Li; Yanrong Hao; Hongwei Xu (BIBM, 2023)

Abnormal cortical functional network and microstates alterations in depression: insights from effective connectivity and EEG microstates. - Jianxiu Li; Yanrong Hao; Hongwei Xu (BIBM, 2023)

Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders. - Jianxiu Li; Yanrong Hao; Wei Zhang 031; Xiaowei Li 005; Bin Hu 001 (IEEE Trans. Affect. Comput., 2023)

Altered Brain Dynamics and Their Ability for Major Depression Detection Using EEG Microstates Analysis. - Jianxiu Li; Nan Li; Xuexiao Shao; Junhao Chen; Yanrong Hao; Xiaowei Li 005; Bin Hu 001 (IEEE Trans. Affect. Comput., 2023)

A Lightweight End-to-End Three-domain Feature Fusion Network for Motor Imagery Decoding. - Ning Cao; Xin Wen; Yanrong Hao; Ruochen Cao; Chengxin Gao; Rui Cao (BIBM, 2024)

TiLTS:Tibetan Long Text Summarization Dataset. - Yanrong Hao; Bo Chen; Xiaobing Zhao (NLPCC (4), 2024)

MCDGLN: Masked Connection-based Dynamic Graph Learning Network for Autism Spectrum Disorder. - Peng Wang; Xin Wen; Ruochen Cao; Chengxin Gao; Yanrong Hao; Rui Cao (CoRR, 2024)

Virtual Guides and Crowd Behaviors: Understanding Evacuation Decision-Making in Virtual Reality. - Ruochen Cao; Ziyuan Feng; Changyue Ma; Xin Wen; Yanrong Hao; Chenchen Zhang; Zequn Liang; Ziarmal Hussain; Rui Cao (CASA, 2025)

BiMa-Former: A Dual-Token Hybrid Model with Bidirectional Mamba and Transformer for Temporal- Multivariate Decoupled Forecasting. - Jin Li; Yanrong Hao; Xin Wen; Linliang Zhang; Jianbao Luo; Ruijie He; Rui Cao (ICIC (7), 2025)

A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis. - Xinglin Zhao; Yanwen Wang; Xiaobo Liu; Yanrong Hao; Rui Cao; Xin Wen (CoRR, 2025)