Zihan Chen

According to our database, Zihan Chen authored at least 26 papers between 2022 and 2026.

Collaborative distances:

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

2026

Generalist Graph Anomaly Detection via Prototype-Based Distillation.

Yiming Xu, Zihan Chen, Zhen Peng, Song Wang, Bin Shi, Bo Dong, Chao Shen

CoRR, May, 2026

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory.

Songwei Dong, Zihan Chen, Chengshuai Shi, Peng Wang, Jundong Li, Cong Shen

CoRR, May, 2026

Safety in Graph Machine Learning: Threats and Safeguards.

Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li

IEEE Trans. Knowl. Data Eng., April, 2026

2025

From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning.

Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li

CoRR, October, 2025

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks.

Xingbo Fu, Zhen Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li

CoRR, October, 2025

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

CoRR, June, 2025

A Survey of Scaling in Large Language Model Reasoning.

Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li

CoRR, April, 2025

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs.

Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen

Trans. Mach. Learn. Res., 2025

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks.

Xingbo Fu, Zhenyu Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li

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

Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.

Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.

Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture.

Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.

Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation.

Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Learning from Diverse Reasoning Paths with Routing and Collaboration.

Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning.

Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.

Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Channel-Wise Mixed-Precision Quantization for Large Language Models.

Zihan Chen, Bike Xie, Jundong Li, Cong Shen

CoRR, 2024

Mixture of Demonstrations for In-Context Learning.

Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Prompt Optimization Through the Lens of Best Arm Identification.

Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Federated Graph Learning with Structure Proxy Alignment.

Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Verification of Machine Unlearning is Fragile.

Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Personalized Federated Learning with Attention-Based Client Selection.

Zihan Chen, Jundong Li, Cong Shen

Proceedings of the IEEE International Conference on Acoustics, 2024

FastGAS: Fast Graph-based Annotation Selection for In-Context Learning.

Zihan Chen, Song Wang, Cong Shen, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022

Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering.

Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu

CoRR, 2022