Baolin Liu - RankMe

23 papers A* 2A 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EGFE-Net: An edge-guided and feature elimination network for small object detection. Expert Syst. Appl. Xuesong Liu, Baolin Liu
2026	J	`jnl`	TPIN: Text-based parallel interaction network with modality-common and modality-specific for multimodal sentiment analysis. Inf. Fusion Changbin Wang, Fengrui Ji, Baolin Liu
2025	J	`jnl`	An fMRI-based auditory decoding framework combined with convolutional neural network for predicting the semantics of real-life sounds from brain activity. Appl. Intell. Mingqian Zhao, Baolin Liu
2025	J	`jnl`	Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. CoRR Yukang Lin, Xiang Zhang, Shichang Jia, Bowen Wan, Chenghan Fu, Xudong Ren, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	—	`conf`	Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E-commerce. DASFAA (6) Haoyue Zhang, Zhiyuan Zeng, Guoliang Zhang, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	—	`conf`	LLM-Based Keyphrase-Augmented Framework for Semantic Relevance Assessment in E-Commerce. DASFAA (6) Guoliang Zhang, Gang Zhao, Zhiyuan Zeng, Songyan Liu, Haoyue Zhang, Hui Zhao, Tianshu Wu, PengjieWang, Jian Xu, Bo Zheng, Baolin Liu
2025	J	`jnl`	MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. CoRR Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	J	`jnl`	TFG-Net: A Text Feature-Guided Network for Small Traffic Sign Detection. IEEE Trans. Neural Networks Learn. Syst. Xuesong Liu, Renxin Chu, Baolin Liu
2024	J	`jnl`	A multimodal fusion-based deep learning framework combined with local-global contextual TCNs for continuous emotion recognition from videos. Appl. Intell. Congbao Shi, Yuanyuan Zhang, Baolin Liu
2024	J	`jnl`	An fMRI-based visual decoding framework combined with two-stage learning and asynchronous iterative update strategy. Pattern Anal. Appl. Yuanyuan Zhang, Xinyu Li, Baolin Liu
2024	J	`jnl`	Semantic-guided spatio-temporal attention for few-shot action recognition. Appl. Intell. Jianyu Wang, Baolin Liu
2024	J	`jnl`	TFRS: A task-level feature rectification and separation method for few-shot video action recognition. Neural Networks Yanfei Qin, Baolin Liu
2023	A*	`conf`	Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. KDD Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng
2023	J	`jnl`	Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach. CoRR Zhangming Chan, Yu Zhang, Shuguang Han, Yong Bai, Xiang-Rong Sheng, Siyuan Lou, Jiacen Hu, Baolin Liu, Yuning Jiang, Jian Xu, Bo Zheng
2023	J	`jnl`	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. Appl. Intell. Qianyi Zhang, Baolin Liu
2023	J	`jnl`	OTDE: optimal transport distribution enhancement for few-shot video recognition. Appl. Intell. Yanfei Qin, Baolin Liu
2023	A	`conf`	PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling. CIKM Jiacen Hu, Zhangming Chan, Yu Zhang, Shuguang Han, Siyuan Lou, Baolin Liu, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng
2022	J	`jnl`	KDM: A knowledge-guided and data-driven method for few-shot video action recognition. Neurocomputing Yanfei Qin, Baolin Liu
2021	J	`jnl`	Reconstruction of natural images from evoked brain activity with a dictionary-based invertible encoding procedure. Neurocomputing Chao Li, Baolin Liu, Jianguo Wei
2020	J	`jnl`	Investigating the Impact of the Missing Significant Objects in Scene Recognition Using Multivariate Pattern Analysis. Frontiers Neurorobotics Jin Gu, Baolin Liu, Weiran Yan, Qiaomu Miao, Jianguo Wei
2020	A*	`conf`	Visual Encoding and Decoding of the Human Brain Based on Shared Features. IJCAI Chao Li, Baolin Liu, Jianguo Wei
2019	J	`jnl`	Modality-general representations of valences perceived from visual and auditory modalities. NeuroImage Jin Gu, Linjing Cao, Baolin Liu
2018	J	`jnl`	Decoding natural images from evoked brain activities using encoding models with invertible mapping. Neural Networks Chao Li, Junhai Xu, Baolin Liu