Publications

2025

• Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
  Mingyu Jin🌟, Qinkai Yu🌟, Jingyuan Huang🌟, Qingcheng Zeng🌟, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
  The 31st International Conference on Computational Linguistics (COLING 2025)
  [Paper] [Website]

• Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
  Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang
  The 13th International Conference on Learning Representations (ICLR 2025)
  [Paper] [Website]

• LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
  Xi Zhu, Haochen Xue, Ziwei Zhao, Wujiang Xu, Jingyuan Huang, Minghao Guo, Qifan Wang, Kaixiong Zhou, Yongfeng Zhang
  Preprint
  [Paper] [Code]

2024

• TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning
  Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis and Tarek Abdelzaher.
  The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024.
  [Paper]

2022

• Representation and Extraction of Physics Knowledge Based on Knowledge Graph and Embedding-Combined Text Classification for Cooperative Learning
  Jialin Shang🌟, Jingyuan Huang🌟, Shihua Zeng🌟, Jian Zhang, and Hongwei Wang
  IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2022.
  [Paper]

(🌟 indicates equal contributions)