| 2026 | AAAI | Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation. | Shuili Zhang, Hongzhang Mu, Jiawei Sheng, Qianqian Tong, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2025 | ICASSP | Zero-Shot Cross-Domain Slot Filling with Retrieval Augmented In-Context Learning. | Mengxiao Song, Tingwen Liu, Quangang Li, Duohe Ma, Ming Sun, Ling Tian |
| 2025 | IJCNN | Language Models Understand Themselves Better: A Zero-Shot AI-Generated Text Detection Method via Reading and Writing. | Jinao Huang, Chuang Zhang, Tingwen Liu, Quangang Li, Taoyu Su, Chi Chen, Yulin Li |
| 2025 | SIGIR | Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity Recognition. | Mengxiao Song, Tianyun Liu, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2024 | CIKM | Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning. | Mengyao Chen, Xinghua Zhang, Junhao Zhang, Quangang Li, Tingwen Liu |
| 2024 | ICASSP | Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval. | Shuili Zhang, Hongzhang Mu, Quangang Li, Chenglong Xiao, Tingwen Liu |
| 2024 | WSDM | CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. | Xiaodong Li, Jiawei Sheng, Jiangxia Cao, Wenyuan Zhang, Quangang Li, Tingwen Liu |
| 2023 | IJCNN | Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. | Hongzhang Mu, Shuili Zhang, Quangang Li, Tingwen Liu, Hongbo Xu |
| 2023 | SIGIR | Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. | Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu |
| 2022 | COLING | Event Causality Extraction with Event Argument Correlations. | Shiyao Cui, Jiawei Sheng, Xin Cong, Quangang Li, Tingwen Liu, Jinqiao Shi |
| 2022 | EMNLP | Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence. | Mengxiao Song, Bowen Yu, Quangang Li, Yubin Wang, Tingwen Liu, Hongbo Xu |
| 2021 | NAACL | FITAnnotator: A Flexible and Intelligent Text Annotation System. | Yanzeng Li, Bowen Yu, Quangang Li, Tingwen Liu |
| 2020 | AAAI | Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. | Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo |
| 2020 | IJCNN | Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. | Zhenyu Zhang, Xiaobo Sind, Tingwen Liu, Zheng Fang, Quangang Li |
| 2019 | IJCAI | Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. | Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li |
| 2019 | ISCC | iMCircle: Automatic Mining of Indicators of Compromise from the Web. | Panpan Zhang, Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Zhaojun Gu |
| 2018 | ACML | Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. | Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang |
| 2017 | ICCS | Mining Host Behavior Patterns From Massive Network and Security Logs. | Jing Ya, Tingwen Liu, Quangang Li, Jinqiao Shi, Haoliang Zhang, Pin Lv, Li Guo |
| 2017 | ICCS | Recognizing Compound Entity Phrases in Hybrid Academic Domains in View of Community Division. | Yang Yan, Tingwen Liu, Quangang Li, Jinqiao Shi, Li Guo, Yubin Wang |
| 2014 | ICCCN | A probabilistic approach towards modeling email network with realistic features. | Quangang Li, Jinqiao Shi, Tingwen Liu, Li Guo, Zhiguang Qin |
| 2014 | ISCC | Towards misdirected email detection for preventing information leakage. | Tingwen Liu, Yiguo Pu, Jinqiao Shi, Quangang Li, Xiaojun Chen |