Zihan Chen

According to our database, Zihan Chen authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

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

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

CoRR, June, 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

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

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

CoRR, May, 2025

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

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

CoRR, April, 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

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Zihan Chen, Bike Xie, Jundong Li, Cong Shen

CoRR, 2024

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

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 38: 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 38: 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