Awards

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Top 3 / 859 teams — E.SUN AI Open Competition, Winter 2021 (Credit-Card Category Recommendation). Final NDCG@3 = 0.726037 (Top-1 = 0.727069). Oct 2021 – Feb 2022
Top 1 / 401 teams — Chunghwa Post Big Data Competition 2019. Proposed an ML-integrated system with an estimated 65% reduction in failed deliveries. Apr – Jun 2019
NCKU Outstanding Talents Scholarship 2021 (Bank SinoPac). Nov 2021
Excellent Award, Statistics Certificate — Chinese Applied Statistics Association. May 2019
Advanced Award, Competition of Statistics — NCKU. May 2017

Publications

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† denotes co-first authorship.

ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models’ In-Context Learning Ability

Yen-Ting Piao†, Jay Chiehen Liao†, Wei-Tang Chien†, Toshiki Ogimoto†, Shang-Tse Chen, Yun-Nung Chen, Chun-Yi Lee, Shao-Yuan Lo. arXiv preprint, 2026. [arXiv]

A three-stage framework that progressively reduces textual guidance to evaluate LALMs’ in-context learning under audio conditioning.
Built the LALM inference framework; ran experiments; led results analysis.

TabGSL: Graph Structure Learning for Tabular Data Prediction

Jay Chiehen Liao, Cheng-Te Li. IEEE International Conference on Big Data (BigData), 2025. [IEEE Xplore] · [arXiv]

廖傑恩 Jay Liao on Jay Chiehen Liao

Awards

Publications

ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models’ In-Context Learning Ability

TabGSL: Graph Structure Learning for Tabular Data Prediction