Chenkai Hu

According to our database, Chenkai Hu authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Deep Learning-Based Automated Quantification of TIMI Myocardial Perfusion Frame Count (DL-TMPFC) from Coronary Angiography: A Novel Framework for Rapid Assessment of Microvascular Dysfunction.

Si Li, Yuanqing He, Chenkai Hu, Xiaogang Guo, Huay-Cheem Tan, Chieh Yang Koo, Xuan Zhang, Lei He, Jingyuan Zeng, Shan Xiao

CoRR, May, 2026

ReEfBench: Quantifying the Reasoning Efficiency of LLMs.

Zhizhang Fu, Yuancheng Gu, Chenkai Hu, Hanmeng Liu, Yue Zhang

CoRR, January, 2026

2025

Correlation or Causation: Analyzing the Causal Structures of LLM and LRM Reasoning Process.

Zhizhang Fu, Guangsheng Bao, Hongbo Zhang, Chenkai Hu, Yue Zhang

CoRR, September, 2025

Multimodal Fusion with Semi-Supervised Learning Minimizes Annotation Quantity for Modeling Videoconference Conversation Experience.

Andrew Chang, Chenkai Hu, Ji Qi, Zhuojian Wei, Kexin Zhang, Viswadruth Akkaraju, David Poeppel, Dustin Freeman

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

2024

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection.

Xuanze Chen, Chenkai Hu, Shengbo Gong, Chengxiang Jin, Jiajun Zhou, Shanqing Yu, Qi Xuan

CoRR, 2024

2023

DTP: An Open-Domain Text Relation Extraction Method.

Yuanzhe Qiu, Chenkai Hu, Kai Gao

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph.

Jiajun Zhou, Chenkai Hu, Jianlei Chi, Jiajing Wu, Meng Shen, Qi Xuan

IEEE Trans. Inf. Forensics Secur., 2022

2021

BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast.

Jiajun Zhou, Chenkai Hu, Shengbo Gong, Jiaying Xu, Jie Shen, Qi Xuan

CoRR, 2021