Xikun Zhang

According to our database, Xikun Zhang authored at least 24 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Benchmarking Fairness in Spiking Neural Networks: Data Bias, Spurious Features, and Hardware Effects.

Hudi He, Fukun Wang, Zhe Wang, Xinyi Wang, Shuhan Ye, Jiarui Liu, Qing Qing, Ziqi Xu, Xikun Zhang, Renqiang Luo

CoRR, May, 2026

TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection.

Wen Shi, Zhe Wang, Huafei Huang, Qing Qing, Ziqi Xu, Qixin Zhang, Xikun Zhang, Renqiang Luo, Feng Xia

CoRR, May, 2026

DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts.

Guiquan Sun, Xikun Zhang, Jingchao Ni, Dongjin Song

CoRR, May, 2026

Bridging Sequence and Graph Structure for Epigenetic Age Prediction.

Yao Li, Xikun Zhang, Xiaotao Shen, Sonika Tyagi, Xin Zheng, Jiaxing Huang, Feng Xia

CoRR, May, 2026

PrimeKG-CL: A Continual Graph Learning Benchmark on Evolving Biomedical Knowledge Graphs.

Yousef A. Radwan, Yao Li, Qing Qing, Ziqi Xu, Xingtong Yu, Jiaxing Huang, Renqiang Luo, Xikun Zhang

CoRR, May, 2026

CMKL: Modality-Aware Continual Learning for Evolving Biomedical Knowledge Graphs.

Yousef A. Radwan, Yao Li, Qing Qing, Ziqi Xu, Qixin Zhang, Yongcheng Jing, Renqiang Luo, Xikun Zhang

CoRR, May, 2026

UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning.

Danhui Zhang, Zhe Wang, Qing Qing, Jiarui Liu, Wentao Gao, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo

CoRR, May, 2026

Learning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation.

Qing Qing, Xikun Zhang, Zhongyuan Zhang, Jiarui Liu, Xingtong Yu, Xiaotao Shen, Ziqi Xu, Qixin Zhang, Zhe Wang, Renqiang Luo

CoRR, May, 2026

GAD in the Wild: Benchmarking Graph Anomaly Detection under Realistic Deployment Challenges.

Jingjing Zhou, Shiyu Huang, Qing Qing, Zuquan Yuan, Huafei Huang, Ziqi Xu, Mingliang Hou, Xikun Zhang, Renqiang Luo, Ivan Lee

CoRR, May, 2026

Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection.

Jingjing Zhou, Yongshuai Yang, Qing Qing, Ziqi Xu, Xikun Zhang, Renqiang Luo, Ivan Lee, Feng Xia

CoRR, May, 2026

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios.

Xiangru Jian, Hao Xu, Wei Pang, Xinjian Zhao, Chengyu Tao, Qixin Zhang, Xikun Zhang, Chao Zhang, Guanzhi Deng, Alex Xue, Juan Du, Tianshu Yu, Garth Tarr, Linqi Song, Qiuzhuang Sun, Dacheng Tao

CoRR, April, 2026

FairGC: Fairness-aware Graph Condensation.

Yihan Gao, Chenxi Huang, Wen Shi, Ke Sun, Ziqi Xu, Xikun Zhang, Mingliang Hou, Renqiang Luo

CoRR, March, 2026

Prototype-Enhanced Multi-View Learning for Thyroid Nodule Ultrasound Classification.

Yangmei Chen, Zhongyuan Zhang, Xikun Zhang, Xinyu Hao, Mingliang Hou, Renqiang Luo, Ziqi Xu

CoRR, March, 2026

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.

Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

FTSCommDetector: Discovering Behavioral Communities through Temporal Synchronization.

Tianyang Luo, Xikun Zhang, Dongjin Song

CoRR, October, 2025

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI.

Huanjin Yao, Jiaxing Huang, Yawen Qiu, Michael K. Chen, Wenzheng Liu, Wei Zhang, Wenjie Zeng, Xikun Zhang, Jingyi Zhang, Yuxin Song, Wenhao Wu, Dacheng Tao

CoRR, June, 2025

MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on Large Language Models.

Yan Sun, Qixin Zhang, Zhiyuan Yu, Xikun Zhang, Li Shen, Dacheng Tao

CoRR, June, 2025

Improving Large Language Models with Concept-Aware Fine-Tuning.

Michael K. Chen, Xikun Zhang, Jiaxing Huang, Dacheng Tao

CoRR, June, 2025

Towards Heterogeneous Continual Graph Learning via Meta-knowledge Distillation.

Guiquan Sun, Xikun Zhang, Jingchao Ni, Dongjin Song

CoRR, May, 2025

Fairness in Graph Learning Augmented with Machine Learning: A Survey.

Renqiang Luo, Ziqi Xu, Xikun Zhang, Qing Qing, Huafei Huang, Enyan Dai, Zhe Wang, Bo Yang

CoRR, April, 2025

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models.

Michael K. Chen, Xikun Zhang, Dacheng Tao

CoRR, January, 2025

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives.

Qixin Zhang, Yan Sun, Can Jin, Xikun Zhang, Yao Shu, Puning Zhao, Li Shen, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-Wise Group Relative Policy Optimization.

Jingyi Zhang, Jiaxing Huang, Huanjin Yao, Shunyu Liu, Xikun Zhang, Shijian Lu, Dacheng Tao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI.

Huanjin Yao, Jiaxing Huang, Yawen Qiu, Michael K. Chen, Wenzheng Liu, Wei Zhang, Wenjie Zeng, Xikun Zhang, Jingyi Zhang, YuXin Song, Wenhao Wu, Dacheng Tao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025