A probabilistic approach towards modeling email network with realistic features. - Quangang Li; Jinqiao Shi; Tingwen Liu; Li Guo 001; Zhiguang Qin (ICCCN, 2014)

Towards misdirected email detection for preventing information leakage. - Tingwen Liu; Yiguo Pu; Jinqiao Shi; Quangang Li; Xiaojun Chen 004 (ISCC, 2014)

Empirical Measurement and Analysis of I2P Routers. - Peipeng Liu; Lihong Wang; Qingfeng Tan; Quangang Li; Xuebin Wang; Jinqiao Shi (J. Networks, 2014)

Towards quantifying visual similarity of domain names for combating typosquatting abuse. - Tingwen Liu; Yang Zhang; Jinqiao Shi; Jing Ya; Quangang Li; Li Guo 001 (MILCOM, 2016)

Mining Host Behavior Patterns From Massive Network and Security Logs. - Jing Ya; Tingwen Liu; Quangang Li; Jinqiao Shi; Haoliang Zhang; Pin Lv; Li Guo 001 (ICCS, 2017)

Recognizing Compound Entity Phrases in Hybrid Academic Domains in View of Community Division. - Yang Yan; Tingwen Liu; Quangang Li; Jinqiao Shi; Li Guo 001; Yubin Wang (ICCS, 2017)

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 (ACML, 2018)

Fast and Accurate Typosquatting Domains Evaluation with Siamese Networks. - Jing Ya; Tingwen Liu; Quangang Li; Pin Lv; Jinqiao Shi; Li Guo 001 (MILCOM, 2018)

Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. - Bowen Yu 002; Zhenyu Zhang 006; Tingwen Liu; Bin Wang 004; Sujian Li; Quangang Li (IJCAI, 2019)

iMCircle: Automatic Mining of Indicators of Compromise from the Web. - Panpan Zhang; Jing Ya; Tingwen Liu; Quangang Li; Jinqiao Shi; Zhaojun Gu (ISCC, 2019)

Porous Lattice-based Transformer Encoder for Chinese NER. - Mengge Xue; Bowen Yu 002; Tingwen Liu; Bin Wang 004; Erli Meng; Quangang Li (CoRR, 2019)

Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. - Zhenyu Zhang 006; Xiaobo Shu; Bowen Yu 002; Tingwen Liu; Jiapeng Zhao; Quangang Li; Li Guo 001 (AAAI, 2020)

Joint Entity Linking and Relation Extraction with Neural Networks for Knowledge Base Population. - Zhenyu Zhang 006; Xiaobo Sind; Tingwen Liu; Zheng Fang 002; Quangang Li (IJCNN, 2020)

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. - Shiyao Cui; Bowen Yu 002; Xin Cong; Tingwen Liu; Quangang Li; Jinqiao Shi (CoRR, 2020)

FITAnnotator: A Flexible and Intelligent Text Annotation System. - Yanzeng Li; Bowen Yu 002; Quangang Li; Tingwen Liu (NAACL-HLT (Demonstrations), 2021)

Event Causality Extraction with Event Argument Correlations. - Shiyao Cui; Jiawei Sheng; Xin Cong; Quangang Li; Tingwen Liu; Jinqiao Shi (COLING, 2022)

Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence. - Mengxiao Song; Bowen Yu 002; Quangang Li; Yubin Wang; Tingwen Liu; Hongbo Xu (EMNLP, 2022)

Adapt-to-Learn Policy Network for Abstractive Multi-document Summarization. - Hongzhang Mu; Shuili Zhang; Quangang Li; Tingwen Liu; Hongbo Xu (IJCNN, 2023)

Enhancing Table Retrieval with Dual Graph Representations. - Tianyun Liu; Xinghua Zhang 001; Zhenyu Zhang 006; Yubin Wang; Quangang Li; Shuai Zhang; Tingwen Liu (ECML/PKDD (4), 2023)

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. - Xinghua Zhang 001; Bowen Yu 002; Jiangxia Cao; Quangang Li; Xuebin Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2023)

Empowering LLMs for Multi-Page Layout Generation via Consistency-Oriented In-Context Learning. - Mengyao Chen; Xinghua Zhang 001; Junhao Zhang; Quangang Li; Tingwen Liu (CIKM, 2024)

Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval. - Shuili Zhang; Hongzhang Mu; Quangang Li; Chenglong Xiao; Tingwen Liu (ICASSP, 2024)

Dynamic Multi-Modal Representation Learning For Topic Modeling. - Hongzhang Mu; Shuili Zhang; Quangang Li; Tingwen Liu; Hongbo Xu (ICME, 2024)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. - Xiaodong Li 012; Jiawei Sheng; Jiangxia Cao; Wenyuan Zhang 002; Quangang Li; Tingwen Liu (WSDM, 2024)

Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. - Shiyao Cui; Jiangxia Cao; Xin Cong; Jiawei Sheng; Quangang Li; Tingwen Liu; Jinqiao Shi (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Cross-Domain NER under a Divide-and-Transfer Paradigm. - Xinghua Zhang 001; Bowen Yu 002; Xin Cong; Taoyu Su; Quangang Li; Tingwen Liu; Hongbo Xu (ACM Trans. Inf. Syst., 2024)

Zero-Shot Cross-Domain Slot Filling with Retrieval Augmented In-Context Learning. - Mengxiao Song; Tingwen Liu; Quangang Li; Duohe Ma; Ming Sun; Ling Tian (ICASSP, 2025)

Dual-perspective Data Augmentation and Curriculum Learning Framework for Low-resource Complex Named Entity Recognition. - Mengxiao Song; Tianyun Liu; Wenyuan Zhang 002; Quangang Li; Tingwen Liu (SIGIR, 2025)