Hanghui Guo

Hanghui Guo

I am currently pursuing a Master’s degree in Computer Science and Technology at the School of Computer Science and Technology, Zhejiang Normal University, under the supervision of Prof. Jia Zhu in the Zhejiang Key Laboratory of Intelligent Education Technology and Application. Prior to this, I obtained my Bachelor’s degree in Data Science and Big Data Technology from the College of Computer Science and Artificial Intelligence, Wenzhou University.

My research interests focus on Large Language Models, with a particular emphasis on Retrieval Augmented Generation, Agent, and Applications in Scientific Domains.

📝 Publications

Conference

  • Yanping Chen, Weijie Shi, Mengze Li, Yue Cui, Jiaming Li, Ruiyuan Zhang, Hao Chen, Hanghui Guo, Shimin Di, Ziyi Liu, Jia Zhu, Jiajie Xu. Active Multi-source Domain Adaptation for Multimodal Fake News Detection. AAAI (CCF A, CORE A*), 2026.
  • Zilong Li, Jia Zhu, Chenglei Huang, Zhangze Chen, Hanghui Guo, Guoqing Ma, Jianxia Ling. Capturing Dynamic User Interests under Modality Imbalance for Multimodal Sequential Recommendation. AAAI (CCF A, CORE A*), 2026.
  • Yi Cao, Weijie Shi, Wei-Jie Xu, Yucheng Shen, Yue Cui, Hanghui Guo, Shimin Di, Ziyi Liu, Jiaming Li, Alexander Zhou, Jia Zhu, Jiajie Xu. TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models. AAAI (CCF A, CORE A*), 2026.
  • Hanghui Guo^, Weijie Shi^, Mengze Li*, Juncheng Li, Hao Chen, Yue Cui, Jiajie Xu, Jia Zhu*, Jiawei Shen, Zhangze Chen, Sirui Han. Consistent and Invariant Generalization Learning for Short-video Misinformation Detection. ACM MM (CCF A, CORE A*), 2025.
  • Hanghui Guo, Jia Zhu*, Shimin Di*, Weijie Shi*, Zhangze Chen, Jiajie Xu. DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation. ACL Main (CCF A, CORE A*), 2025.
  • Jia Zhu, Hanghui Guo, Weijie Shi*, Zhangze Chen, Pasquale De Meo. RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation. AAAI (CCF A, CORE A*), 2025.
  • Zilong Li, Jia Zhu*, Chenglei Huang, Zhangze Chen, Hanghui Guo, Jianxia Ling. RG-MEO: Relation-Guided Modality Embedding Optimization for Multimodal Knowledge Graph Completion. ACAIT (EI Conference), 2025.
  • Xi Yang, Zhangze Chen*, Hanghui Guo*, Tetiana Shestakevych. Adaptive Exploration: Elevating Educational Impact of Unsupervised Knowledge Graph Question Answering. APWeb-WAIM Workshop (CCF C, CORE C), 2024.
  • Changfan Pan, Qing Wang, Jia Zhu*, Xinran Cao, Hanghui Guo, Changqin Huang. Stable Attribution with Local Surrogate Model. ChineseCSCW (EI Conference), 2024.
  • Wanlu Zhang, Jia Zhu*, Changfan Pan, Hanghui Guo, Zhangze Chen. 基于VR技术的电磁波教学平台设计与交互式开发. GCCCE (CORE C), 2024.
  • Qing Wang, Jia Zhu, Changfan Pan, Jianyang Shi*, Chaojun Meng, Hanghui Guo. Dual Trustworthy Mechanism for Illness Classification with Multi-Modality Data. ICDM Workshop (CCF B, CORE A*), 2023.

Journal

  • Chenglei Huang, Jia Zhu*, Zilong Li, Hanghui Guo, Jiajun Liu, Pasquale De Meo, Weijie Shi. Video-Seer: A Hierarchical Scene Selection and Multi-View Analysis Approach for Zero-Shot Video Question Answering. IEEE Transactions on Multimedia (SCI Q1 TOP, IF 9.7, CCF B), 2026.
  • Hanghui Guo, Shimin Di, Zhangze Chen, Changfan Pan, Chaojun Meng, Jia Zhu*. FGRCAT: A Fine-Grained Reasoning Framework Through Causality and Adversarial Training. Expert Systems with Applications (SCI Q1 TOP, IF 7.5, CCF C), 2025.
  • Chenglei Huang^, Jia Zhu^*, Yilong Ji*, Weijie Shi, Min Yang, Hanghui Guo, Jianxia Ling, Pasquale De Meo, Zilong Li, Zhangze Chen. A Multi-Modal Dataset for Teacher Behavior Analysis in Offline Classrooms. Scientific Data (SCI Q2, IF 6.9), 2025.
  • Chaojun Meng, Changfan Pan, Hongji Shu, Qing Wang, Hanghui Guo, Jia Zhu*. Heterogeneous Collaborative Filtering Contrastive Learning for Social Recommendation. Applied Soft Computing (SCI Q2 TOP, IF 6.6), 2025.
  • Hanghui Guo*, Jia Zhu, Changfan Pan, Qing Wang, Cong Zhou, Chaojun Meng. KE-LPG: Towards Semantic Refinement for Lesson Plan Generation. Arabian Journal for Science and Engineering (SCI Q4, IF 2.9), 2025.

Preprint

  • Jiawei Shen, Jia Zhu, Hanghui Guo, Weijie Shi, Guoqing Ma, Yidan Liang, Jingjiang Liu, Hao Chen, Shimin Di. DynaGen: Unifying Temporal Knowledge Graph Reasoning with Dynamic Subgraphs and Generative Regularization. 2025.
  • Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, Yidan Liang. EduEval: A Hierarchical Cognitive Benchmark for Evaluating Large Language Models in Chinese Education. 2025.
  • Hanghui Guo, Shimin Di, Pasquale De Meo, Zhangze Chen, Jia Zhu. MuPlon: Multi-Path Causal Optimization for Claim Verification through Controlling Confounding. 2025.
  • Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Jiawei Shen, Jingjiang Liu, Yidan Liang. Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference. 2025.
  • Dongjie Xu, Yue Cui, Weijie Shi, Qingzhi Ma, Hanghui Guo, Jiaming Li, Yao Zhao, Ruiyuan Zhang, Shimin Di, Jia Zhu, Kai Zheng, Jiajie Xu. E3-rewrite: Learning to rewrite sql for executability, equivalence, and efficiency. 2025.

^ Equal Contribution

* Corresponding Author

🎖 Honors and Awards

  • 2025, National Scholarship.
  • 2024, Silver Award, Zhejiang Provincial College Student Innovation and Entrepreneurship Competition.
  • 2022, First Prize, Zhejiang Province College Students’ Advanced Mathematics (Calculus) Competition.
  • 2022, First Prize, The Chinese Mathematics Competitions (Zhejiang Province).
  • 2018, Second Prize, National Olympiad in Biology (Zhejiang Province).

📖 Teaching

  • Introduction to Intelligent Educational Technology and Applications, Fall 2024, Teaching Assistant, Zhejiang Normal University

💻 Internships

  • None

🏛 Academic Services

  • Reviewer for Knowledge-based Systems (SCI Q1 TOP, IF 7.6)
  • Reviewer for Neurocomputing (SCI Q2, IF 6.5)
  • Reviewer for Pattern Recognition Letters (SCI Q3, IF 3.3)