I am Qian Li (李倩), currently pursuing a Ph.D. degree (after one year) in the Beihang University (BUAA). I received my B.S. degree from Central South University (CSU) in 2016, and my M.S. degree from Beijing University of Posts and Telccommunications (BUPT) in 2019.

During my doctoral studies, my research focused on information extraction and knowledge graph in natural language processing. I have published a total of 12 papers in conferences or journals such as WWW, ACL, CIKM, TASLP, and TNNLS, with 7 of them as the first author. Additionally, I have been granted 8 Chinese patents, with 3 of them as the first inventor by students. I was awarded the first prize of Big Data Center Science and Technology Progress by State Grid Co., LTD. Furthermore, I achieved first place in the international Data competition CodaLab Platform Event Detection Challenge. In addition, I have participated in information extraction related evaluation tasks sponsored by CCKS for two consecutive years and achieved first place and the technology innovation award. If you are interested in discussing or collaborating with me, please feel free to contact me.

Publications

2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. WWW 2023.
Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li.
Proceedings of the ACM Web Conference 2023 (WWW 2023), CCF-A.
[PDF] [Code]

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. ACL findings 2023.
Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL findings 2023), CCF-A.
[PDF] [Code]

Event Extraction by Associating Event Types and Argument Roles. IEEE Transactions on Big Data (TBD) 2023.
Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Hao Peng, Lihong Wang.
IEEE Transactions on Big Data (TBD 2023), SCI Q1, JCR 2区, CCF-C.
[PDF] [Code]

A Comprehensive Survey on Automatic Knowledge Graph Construction. arXiv 2023.
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu.
arXiv 2023.
[PDF]

Label graph augmented soft cascade decoding model for overlapping event extraction. JMLC 2023.
Yiming Hei, Lihong Wang, Jiawei Sheng, Jianwei Liu, Qian Li, Shu Guo.
International Journal of Machine Learning and Cybernetics (JMLC), SCI Q1.
[PDF]

2022

A Survey on Deep Learning Event Extraction: Approaches and Applications. TNNLS 2022.
Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IF:14.255, SCI Q1, JCR 1区, CCF-B.
[PDF]

A survey on text classification: From shallow to deep learning. TIST 2022.
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S Yu, Lifang He.
ACM Transactions on Intelligent Systems and Technology (TIST), IF:10.489, SCI Q1, JCR 3区, CCF-B
[PDF] [Repository]

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. TWEB 2022.
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei,Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie.
Transactions on the Web (TWEB), SCI Q1, JCR 3区, CCF-B
[PDF] [Code]

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-Squashing. CIKM 2022.
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li and Philip S. Yu.
31st ACM International Conference on Information and Knowledge Management (CIKM 2022), CCF-B
[PDF] [Code]

A Dual-Classifier Model for General Fine-Grained Event Detection Task. CCKS 2022.
Yiming Hei, Qian Li, Caibo Zhou, Rui Sun, Jinglin Yang, Jiawei Sheng, Shu Guo, Lihong Wang.
China Conference on Knowledge Graph and Semantic Computing (CCKS 2022)
[PDF] [Code]

2021

Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations. TASLP 2021.
Qian Li, Hao Peng, Jianxin Li, Yuanxing Ning, Lihong Wang, Philip S Yu, Zheng Wang.
IEEE Transactions on Audio, Speech, and Language Processing (TASLP), SCI Q1, JCR 1区, CCF-B
[PDF] [Code]

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. ACL/IJCNLP (Findings) 2021.
Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu.
In Findings of the 59th Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2021), CCF-A
[PDF] [Code]

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task. Data Intelligence 2021.
iawei Sheng, Qian Li, Yiming Hei, Shu Guo, Bowen Yu, Lihong Wang, Min He, Tingwen Liu, Hongbo Xu.
Data Intelligence (DI 2021), EI
[PDF] [Code]

Competitions

[CCKS 2021] Fine-grained Event Detection Competition, 1/253.

[CCKS 2020] Few-shot Cross-domain Event Extraction Competition, 1/391.

Academic and Social Services

Conference Program Committee Member/Reviewer

• ACL 2023 (CCF-A, top conference of NLP).

• SIGIR 2023 (CCF-A, top conference of NLP).

• ECAI 2023 (CCF-B, top conference of artificial intelligence).

• EMNLP 2022 (CCF-B, top conference of NLP).

• CIKM 2022 (CCF-B, top conference of data mining).

• CCL 2022、2023 (CCF-C, most authoritative and influential academic conference of NLP in China ).

Journal Reviewer

• Neural Networks (NN, CCF-B, SCI Q1).

• Transactions on the Web (TWEB, CCF-B, SCI Q1).

• Complex & Intelligent Systems (CAIS, SCI Q1).

• International Journal of Machine Learning and Cybernetics (JMLC, SCI Q1).

• JJCIT, etc.

Internship

Samsung Research Institute in Beijing, Bixiby research and development, 2018.01-2018.09.

National Computer Network Emergency Response Technical Team/Coordination Center of China, NLP algorithm engineer, 2020.01-2021.01.