Kehan Yin

According to our database, Kehan Yin authored at least 5 papers in 2024.

Collaborative distances:

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

2024

From General to Specific: Tailoring Large Language Models for Personalized Healthcare.

Ruize Shi, Hong Huang, Wei Zhou, Kehan Yin, Kai Zhao, Yun Zhao

CoRR, 2024

OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework.

Wei Zhou, Hong Huang, Guowen Zhang, Ruize Shi, Kehan Yin, Yuanyuan Lin, Bang Liu

CoRR, 2024

Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification.

Ruize Shi, Hong Huang, Kehan Yin, Wei Zhou, Hai Jin

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

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention.

Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs.

Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024