Decoding natural images from evoked brain activities using encoding models with invertible mapping. - Chao Li 052; Junhai Xu; Baolin Liu 001 (Neural Networks, 2018)

Modality-general representations of valences perceived from visual and auditory modalities. - Jin Gu; Linjing Cao; Baolin Liu 001 (NeuroImage, 2019)

Visual Encoding and Decoding of the Human Brain Based on Shared Features. - Chao Li 052; Baolin Liu 001; Jianguo Wei (IJCAI, 2020)

Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis. - Jin Gu; Baolin Liu 001; Weiran Yan; Qiaomu Miao; Jianguo Wei (Frontiers Neurorobotics, 2020)

Reconstruction of natural images from evoked brain activity with a dictionary-based invertible encoding procedure. - Chao Li 052; Baolin Liu 001; Jianguo Wei (Neurocomputing, 2021)

KDM: A knowledge-guided and data-driven method for few-shot video action recognition. - Yanfei Qin; Baolin Liu 001 (Neurocomputing, 2022)

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. - Jiacen Hu; Zhangming Chan; Yu Zhang 176; Shuguang Han; Siyuan Lou; Baolin Liu 001; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CIKM, 2023)

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. - Zhangming Chan; Yu Zhang 176; Shuguang Han; Yong Bai; Xiang-Rong Sheng; Siyuan Lou; Jiacen Hu; Baolin Liu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (KDD, 2023)

OTDE: optimal transport distribution enhancement for few-shot video recognition. - Yanfei Qin; Baolin Liu 001 (Appl. Intell., 2023)

Construction of the brain-inspired computing model verified by spatiotemporal correspondence between the hierarchical computation of the model and the complex multi-stage processing of the human brain during facial expression recognition. - Qianyi Zhang; Baolin Liu 001 (Appl. Intell., 2023)

A multimodal fusion-based deep learning framework combined with local-global contextual TCNs for continuous emotion recognition from videos. - Congbao Shi; Yuanyuan Zhang; Baolin Liu 001 (Appl. Intell., 2024)

TFRS: A task-level feature rectification and separation method for few-shot video action recognition. - Yanfei Qin; Baolin Liu 001 (Neural Networks, 2024)

Semantic-guided spatio-temporal attention for few-shot action recognition. - Jianyu Wang; Baolin Liu 001 (Appl. Intell., 2024)

An fMRI-based visual decoding framework combined with two-stage learning and asynchronous iterative update strategy. - Yuanyuan Zhang; Xinyu Li; Baolin Liu 001 (Pattern Anal. Appl., 2024)

An fMRI-based auditory decoding framework combined with convolutional neural network for predicting the semantics of real-life sounds from brain activity. - Mingqian Zhao; Baolin Liu 001 (Appl. Intell., 2025)

MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. - Bencheng Yan; Si Chen 010; Shichang Jia; Jianyu Liu; Yueran Liu; Chenghan Fu; Wanxian Guan; Hui Zhao; Xiang Zhang 001; Kai Zhang 001; Wenbo Su; Pengjie Wang 002; et al. (CoRR, 2025)

TFG-Net: A Text Feature-Guided Network for Small Traffic Sign Detection. - Xuesong Liu; Renxin Chu; Baolin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. - Yukang Lin; Xiang Zhang 001; Shichang Jia; Bowen Wan; Chenghan Fu; Xudong Ren; Yueran Liu; Wanxian Guan; Pengjie Wang 002; Jian Xu 015; Bo Zheng 007; Baolin Liu 001 (CoRR, 2025)