Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering. - Zihan Chen 002; Xingyu Li; Miaomiao Yang; Hong Zhang 037; Xu Steven Xu (CoRR, 2022)

FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. - Zihan Chen 002; Song Wang 013; Cong Shen 001; Jundong Li (ACL (Findings), 2024)

Personalized Federated Learning with Attention-Based Client Selection. - Zihan Chen 002; Jundong Li; Cong Shen 001 (ICASSP, 2024)

Verification of Machine Unlearning is Fragile. - Binchi Zhang; Zihan Chen 002; Cong Shen 001; Jundong Li (ICML, 2024)

Federated Graph Learning with Structure Proxy Alignment. - Xingbo Fu; Zihan Chen 002; Binchi Zhang; Chen Chen 022; Jundong Li (KDD, 2024)

Efficient Prompt Optimization Through the Lens of Best Arm Identification. - Chengshuai Shi; Kun Yang 011; Zihan Chen 002; Jundong Li; Jing Yang 002; Cong Shen 001 (NeurIPS, 2024)

Mixture of Demonstrations for In-Context Learning. - Song Wang 013; Zihan Chen 002; Chengshuai Shi; Cong Shen 001; Jundong Li (NeurIPS, 2024)

Safety in Graph Machine Learning: Threats and Safeguards. - Song Wang 013; Yushun Dong; Binchi Zhang; Zihan Chen 002; Xingbo Fu; Yinhan He; Cong Shen 001; Chuxu Zhang; Nitesh V. Chawla; Jundong Li (CoRR, 2024)

Channel-Wise Mixed-Precision Quantization for Large Language Models. - Zihan Chen 002; Bike Xie; Jundong Li; Cong Shen 001 (CoRR, 2024)

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. - Xingbo Fu; Zihan Chen 002; Yinhan He; Song Wang 013; Binchi Zhang; Chen Chen 022; Jundong Li (AAAI, 2025)

A Survey of Scaling in Large Language Model Reasoning. - Zihan Chen 002; Song Wang 013; Zhen Tan 001; Xingbo Fu; Zhen Lei 001; Peng Wang 105; Huan Liu 001; Cong Shen 001; Jundong Li (CoRR, 2025)

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs. - Zihan Chen 002; Xingbo Fu; Yushun Dong; Jundong Li; Cong Shen 001 (CoRR, 2025)

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. - Zihan Chen 002; Song Wang 013; Zhen Tan 001; Jundong Li; Cong Shen 001 (CoRR, 2025)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions. - Xingbo Fu; Zehong Wang; Zihan Chen 002; Jiazheng Li 012; Yaochen Zhu; Zhen Lei 001; Cong Shen 001; Yanfang Ye 001; Chuxu Zhang; Jundong Li (CoRR, 2025)

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. - Song Wang 013; Zhen Tan 001; Zihan Chen 002; Shuang Zhou 012; Tianlong Chen 001; Jundong Li (CoRR, 2025)