Resume

M.S. in Data Science, National Taiwan University Sep. 2021 - Aug. 2023

B.S. in Engineering and System Science, National Tsing Hua University Sep. 2017 - Jun. 2021

FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network

Hung-Chun Hsu*, Ting-Le Lin*, Bo-Jun Wu, Ming-Yi Hong, Che Lin, Chih-Yu Wang

In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

FlashGAN: Framework of Localized Node Augmentation via Semi-supervised Learning in Heterogeneous Graphs with Generative Adversarial Network

Hung-Chun Hsu, Bo-Jun Wu, Ming-Yi Hong, Che Lin, Chih-Yu Wang

arXiv preprint arXiv:2312.06519, 2024

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations

Hung-Chun Hsu, Yuan-Ching Kuo, Chao-Han Huck Yang, Szu-Wei Fu, Hanrong Ye, Hongxu Yin, Yu-Chiang Frank Wang, Ming-Feng Tsai, Chuan-Ju Wang

arXiv preprint arXiv:2508.18132, 2025

CFDA & CLIP at TREC iKAT 2025: Enhancing Personalized Conversational Search via Query Reformulation and Rank Fusion

Yu-Cheng Chang, Guan-Wei Yeo, Quah Eugene, Fan-Jie Shih, Yuan-Ching Kuo, Tsung-En Yu, Hung-Chun Hsu, Ming-Feng Tsai, Chuan-Ju Wang

NIST Text REtrieval Conference (TREC), 2025

Research Assistant, CFDA Lab, CITI, Academia Sinica Apr. 2024 - Present

• Leading the Information Retrieval (IR) research project in collaboration with NVIDIA Research (Taiwan and US) under the supervision of Prof. Chuan-Ju Wang and Prof. Ming-Feng Tsai. Focused on conversational retrieval and Multimodal-LLMs.
• Participated twice in NIST's Text Retrieval Conference (TREC) tracks starting from 2024: Product Recommendations and Interactive Knowledge Assistance (iKAT). Led and coordinated the competition teams with up to 6 direct reports.

Data Scientist Intern - R&D, Cathay Financial Holdings Feb. 2024 - Apr. 2024

• Developed an enterprise-level Chinese legal retrieval pipeline leveraging LangChain, increasing recall@50 performance from 23% to 39% compared to LangChain's basic two-staged retrieval settings through a novel legal articles pre-classification approach.

Research Assistant, SNAC Lab, CITI, Academia Sinica Sep. 2021 - Feb. 2024

• Developed novel GAN-based data augmentation frameworks for heterogeneous graphs, addressing critical node class imbalance issues in graph neural networks.
• Achieved 14.4% improvement in F-score and 12.3% in PR-AUC over SOTA baseline GraphSMOTE through innovative handling of structured graph G=(V,E,X). Published research in IEEE ICASSP with ongoing follow-up studies.

2025 TREC Interactive Knowledge Assistance Track (iKAT) Jun. 2025 - Sep. 2025

• Led a team of 7 members to participate in the iKAT track, developing pipelines for traditional offline conversational search and exploring real-time conversational retrieval methods requiring low latency.
• Achieved 2nd place in Offline Passage Ranking and 3rd place in Online Interactive Generation among participating teams, outperforming the competition median by 10 pts in nDCG@3 and 11 pts in average human evaluation score respectively.

2024 TREC Product Search and Recommendations Track Jun. 2024 - Sep. 2024

• Led a 4-member team in the product search and recommendations track. Developed a multimodal product retrieval system leveraging BLIP, ViLT, and BEiT-3 as dual encoders and cross encoders.
• Implemented Weighted Sum Fusion to combine unimodal and multimodal retrieval results, achieving nDCG@10 of 76% compared to 72% from traditional BM25 and SPLADE retrievers.

Insurance Claim Fraud Prediction, Cathay Life Insurance Co., Ltd. & National Taiwan University Sep. 2021 - Sep. 2022

• Designed and implemented heterogeneous social network graphs for large-scale networks and developed data augmentation framework to enhance graph neural network performance in detecting hard-to-identify minority fraud risk accounts.