Zihan Chen

35 papers A* 10Misc 1Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Safety in Graph Machine Learning: Threats and Safeguards.
IEEE Trans. Knowl. Data Eng.
Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2025 J jnl
A Survey of Scaling in Large Language Model Reasoning.
CoRR
Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li
2025 A* conf
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.
EMNLP
Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025 J jnl
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.
CoRR
Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025 — conf
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture.
EMNLP (Findings)
Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li
2025 A* conf
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.
ACM Multimedia
Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025 J jnl
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.
CoRR
Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025 J jnl
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs.
CoRR
Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025 J jnl
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs.
Trans. Mach. Learn. Res.
Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen
2025 — conf
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning.
EMNLP (Findings)
Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li
2025 J jnl
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning.
CoRR
Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li
2025 — conf
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.
KDD (2)
Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025 J jnl
Graph Prompting for Graph Learning Models: Recent Advances and Future Directions.
CoRR
Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhen Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li
2025 J jnl
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks.
CoRR
Xingbo Fu, Zhen Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li
2025 A* conf
Learning from Diverse Reasoning Paths with Routing and Collaboration.
EMNLP
Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025 J jnl
Learning from Diverse Reasoning Paths with Routing and Collaboration.
CoRR
Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025 A* conf
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.
ICML
Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025 J jnl
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.
CoRR
Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025 A* conf
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation.
EMNLP
Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025 J jnl
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation.
CoRR
Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025 A* conf
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.
AAAI
Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2024 J jnl
Channel-Wise Mixed-Precision Quantization for Large Language Models.
CoRR
Zihan Chen, Bike Xie, Jundong Li, Cong Shen
2024 A* conf
Efficient Prompt Optimization Through the Lens of Best Arm Identification.
NeurIPS
Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen
2024 — conf
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning.
ACL (Findings)
Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024 J jnl
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning.
CoRR
Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024 A* conf
Federated Graph Learning with Structure Proxy Alignment.
KDD
Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024 J jnl
Federated Graph Learning with Structure Proxy Alignment.
CoRR
Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
2024 A* conf
Mixture of Demonstrations for In-Context Learning.
NeurIPS
Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li
2024 Misc conf
Personalized Federated Learning with Attention-Based Client Selection.
ICASSP
Zihan Chen, Jundong Li, Cong Shen
2024 J jnl
Safety in Graph Machine Learning: Threats and Safeguards.
CoRR
Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024 A* conf
Verification of Machine Unlearning is Fragile.
ICML
Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li
2024 J jnl
Verification of Machine Unlearning is Fragile.
CoRR
Binchi Zhang, Zihan Chen, Cong Shen, Jundong Li
2024 J jnl
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.
CoRR
Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2023 J jnl
Personalized Federated Learning with Attention-based Client Selection.
CoRR
Zihan Chen, Jundong Li, Cong Shen
2022 J jnl
Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering.
CoRR
Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu