I received a Bachelor’s degree in Computer Science and Technology from the School of Computer Science, Beijing University of Technology (BJUT), in 2020. Currently, I am a third-year PhD student in Computer Science and Technology at the School of Computer Science, University of Electronic Science and Technology of China (UESTC), advised by Zhao Kang.
My research interest includes large language models, information extraction, and natural language processing. I have published more than 10 papers at the top international AI conferences with total google scholar citations 40 (You can also use google scholar badge 
🔥 News
- 2026.04: 🎉🎉 One paper is accepted by IEEE Transactions on Multimedia (CCF-A).
- 2026.04: 🎉🎉 One paper is accepted by ACL 2026 Findings (CCF-A).
- 2026.03: 🎉🎉 One paper is accepted by ICME 2026 (CCF-B).
- 2026.01: 🎉🎉 One paper is accepted by WWW 2026 (CCF-A).
- 2025.11: 🎉🎉 One paper is accepted by AAAI 2026 Oral (CCF-A).
- 2025.10: 🎉🎉 One paper is accepted by Big Data Mining and Analytics (JCR 1区).
- 2025.06: 🎉🎉 One paper is accepted by ICCV 2025 (CCF-A).
- 2025.04: 🎉🎉 One paper is accepted by IJCAI 2025 (CCF-A).
- 2025.04: 🎉🎉 One paper is accepted by ICIC 2025 (CCF-C).
- 2025.03: 🎉🎉 One paper is accepted by ICDE 2025 (CCF-A).
- 2024.11: 🎉🎉 One paper is accepted by COLING 2025 (CCF-B).
- 2024.09: 🎉🎉 One paper is accepted by EMNLP 2024 Findings (CCF-B).
- 2023.04: 🎉🎉 One paper is accepted by IJCNN 2023 (CCF-C).
- …
📝 Publications
Mitigating Cognitive Vulnerabilities in Code Generation via Multi-Agent Adversarial Debate
Shuofu Liu, Quanjiang Guo✉️, Xiao Liu, Ying Liu
Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction
Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan✉️
Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang✉️, Bin Yan, Weidong Xiao
BANER: Boundary-aware LLMs for few-shot named entity recognition
Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang✉️, Yu Zhang, Sijie Wang
TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection
Quanjiang Guo, Zhao Kang✉️, Ling Tian, Zhouguo Chen
- Dual^2: Temporal Knowledge Graph Interpolation via Static-Dynamic and Semantic-Periodic Integration, Jinchuan Zhang, Chong Mu✉️, Quanjiang Guo, Lei Gao, Ke Yan, Ling Tian, BDMA
- CodeBoost: Boosting Code LLMs by Squeezing Knowledge from Code Snippets with RL, Sijie Wang, Quanjiang Guo, Kai Zhao, Yawei Zhang, Xin Li, Xiang Li, Siqi Li, Rui She, Shangshu Yu, Wee Peng Tay, underview
- UAVScenes: A Multi-Modal Dataset for UAVs, Sijie Wang, Siqi Li, Shenghai Yuan, Rui She, Quanjiang Guo, JinXuan Zheng, Ong Kang Howe, Leonrich Chandra, Shrivarshann Srijeyan, Aditya Sivadas, Toshan Aggarwal, Heyuan Liu, Hongming Zhang, Chujie Chen, Junyu Jiang, Lihua Xie, Wee Peng Tay, ICCV 2025
- ENGCL: Graph Contrastive Learning via Ego-Preservation and Neighborhood Learning, Wenqiang Du, Quanjiang Guo, Ming Jia, Ke Yan, Zhao Kang, ICIC 2025
- Historically relevant event structuring for temporal knowledge graph reasoning, Jinchuan Zhang, Ming Sun, Chong Mu, Jinhao Zhang, Quanjiang Guo, Ling Tian, ICDE 2025
- Semantic Anchor-aligned Multimodal Data Augmentation for Low-Resource Multimodal Information Extraction, Quanjiang Guo, Jiazhou Pan, Chong Mu, Ling Tian, Hui Gao, zhao kang, underview
- Contrast Sample Pre-selection for Augmentation-Free Graph Contrastive Learning, Wenqiang Du, Quanjiang Guo, Jiaxin Li, Zhao Kang, ISCAIT 2025
- Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering, Yu Zhang, Kehai Chen, Xuefeng Bai, Quanjiang Guo, Min Zhang, EMNLP 2024
- Research on Distant Supervision Relation Extraction based on Attention Graph Enhancement and Dynamic Loss, Liu Yue, Shengquan Liu, Ming Zhao, Quanjiang Guo, CMNM 2024
- Entity Relation Interactive Graph Convolutional Network for Knowledge Embedding, Yang He, Bei Hui, Quanjiang Guo, Ling Tian, Dong Liu, DSDE 2024
🎖 Honors and Awards
- 2025.06, CETC–UESTC Third-Class Scholarship.
- 2025.05, Bronze Medal of China Collegiate Algorithm Design & Programming Chanllenge Contest.
- 2024.10, Second-Class Doctoral Scholarship.
- 2024.09, Gold Award, University Track – Sichuan Division, 2024 Ascend AI Innovation Competition.
- 2024.08, Silver Award of Sichuan International “Internet plus” Undergraduate Innovation and Entrepreneurship Competition.
- 2023.10, Third-Class Doctoral Scholarship.
- 2023.06, 2023 Student Travel Grant Award of International Neural Network Society.
- 2022.11, First Prize of the “Feijiang Cup” Chongqing First Artificial Intelligence Innovation Competition.
- 2022.09, Gold Award of Sichuan International “Internet plus” Undergraduate Innovation and Entrepreneurship Competition.
- 2017.09, Outstanding Cadre Award at the School Level.
- 2017.09, National Inspirational Scholarship.
📖 Educations
- 2021.09 - 2027.06 (now), University of Electronic Science and Technology of China (USETC), computer science and technology.
- 2016.09 - 2020.06, Beijing University of Technology (BJUT), computer science and technology.
💬 Academic Services
- Conference Reviewer, ACL, EMNLP, ACM MM, ICME, ACM MM Asia, IJCNN.
- Journal Reviewer, TASLP.
💻 Internships
- 2019.06 - 2019.07, Institute of Remote Sensing and Digital Earth，Chinese Academy of Sciences, Beijing, China.
- 2022.08 - 2023.07, 30th Research Institute of China Electronics Technology Group Corporation, Chengdu, China.