Li Zongsheng — accepted AI-conference papers

2025

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Qingzhu Zhang, Jiani Zhong, Li ZongSheng, Xinke Shen, Quanying Liu

NeurIPS 2025poster

Task-specific pre-training is essential when task representations diverge from generic pre-training features. Existing task-general pre-training EEG models struggle with complex tasks like emotion recognition due to mismatches between task-specific features and broad pre-training approaches. This wo…

Cited by 0 Source ↗code ↗Scholar ↗

2024

A Survey on Open Information Extraction from Rule-based Model to Large Language Model

Liu Pai, Wenyang Gao, Wenjie Dong, Lin Ai, Ziwei Gong, Songfang Huang +4

EMNLP 2024finding

Open Information Extraction (OpenIE) represents a crucial NLP task aimed at deriving structured information from unstructured text, unrestricted by relation type or domain. This survey paper provides an overview of OpenIE technologies spanning from 2007 to 2024, emphasizing a chronological perspecti…

Cited by 3 Source ↗PDF ↗Scholar ↗