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Feiyang Deng

3 accepted papers

2026

Component-Wise Composite Likelihood Distillation for Censored Time-to-Event Data

ICML 2026poster

Accurate survival modeling in biomedical studies is often hindered by rare events, limited effective sample sizes, and settings with limited or partially observed information (e.g., covariates of interest that are difficult or expensive to collect, highly-structured sampling designs, or nuisance par…

Cited by 0SourceScholar
2026

Discrete Survival Knowledge Distillation for Competing Risks Analysis

ICML 2026poster

Accurate prediction in survival analysis with competing risks is challenged by rare event rates and limited effective sample sizes. Knowledge distillation offers a promising way to transfer information from an external teacher to improve a local student, but existing methods are overwhelmingly devel…

Cited by 0SourceScholar
2023

Rotenna: Harnessing Seamless Integration of Continuum Robot for Dynamic Electromagnetic Reconfiguration

RA-L 2023

This letter presents a novel concept, Rotenna (Robot-Antenna), which aims to address the limitations of existing reconfigurable electromagnetic devices by seamlessly integrating antennas with robotic structures. Based on this concept, we develop a prototype demonstrating enhanced flexibility and rec

Cited by 2SourceScholar