2026 Papers

Zhongjian Zhang, Xiao Wang, Busheng Zhang, Bo Yan, Xingtong Yu, Yue Gao, Jia Li, Chuan Shi (2026). ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models. Preprint.

Wenkang Wei, Yuan Fang, Renhe Jiang, Hong Cheng, Xingtong Yu (2026). From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge. Preprint.

Chang Zhou, Xingtong Yu, Minbin Huang, Zhennan Wu, Yuan Fang, Hong Cheng, Xinming Zhang (2026). TradingMoE: Routing the Right Experts in Evolving Markets. Preprint.

Quanxin Wang, Xuanting Xie, Bingheng Li, Xingtong Yu, Shuo Wang, Ruiyi Fang, Zhao Kang (2026). Dynamic Graph Prompting via Topology-Routed Mixed-Curvature Experts. Preprint.

Xiangbo Wang, Jiasheng Zhang, Xingtong Yu, Luoqiang Lei, Delvin Ce Zhang (2026). HyperClaim: Fine-Grained Cross-Modal Hypergraph Reasoning for Video Misinformation Detection. Preprint.

Xuanting Xie, Zhaochen Guo, Bingheng Li, Xingtong Yu, Zhifei Liao, Zhao Kang, Yuan Fang (2026). Clustering as Reasoning: A k-Means Interpretation of Chain-of-Thought Graph Learning. International Conference on Machine Learning (ICML).

Zhihao Wen, Wenkang Wei, Yuan Fang, Xingtong Yu, Hui Zhang, Weicheng Zhu, Xin Zhang (2026). StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Yousef A. Radwan, Yao Li, Qing Qing, Ziqi Xu, Xingtong Yu, Jiaxing Huang, Renqiang Luo, Xikun Zhang (2026). PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs. Preprint.

Haohua Niu, Xingtong Yu, Yang Liu, Junfeng Fang, Xuanting Xie, Jie Tan, Zhongjian Zhang, Hong Cheng, Yuan Fang (2026). CoEvoT: Co-Evolving Chain-of-Thought Prompting for Graph-LLM Reasoning. Preprint.

Xingtong Yu, Zhongwei Kuai, Chang Zhou, Xuanting Xie, Renhe Jiang, Xikun Zhang, Hong Cheng, Xinming Zhang, Yuan Fang (2026). GraphReAct: Reasoning and Acting for Multi-step Graph Inference. Preprint.