Aemon Yat Fei Chiu is a PhD student in the Department of Electronic Engineering at The Chinese University of Hong Kong (CUHK) under the supervision of Professor Tan Lee. Before that, he obtained his Bachelor of Engineering in Electronic and Information Engineering with First Class Honours and a Minor in Applied Mathematics at The Hong Kong Polytechnic University (PolyU). His Honours Project during his final year at PolyU was supervised by Emeritus Professor Wan-Chi Siu. He was then also a Project Assistant at Saint Francis University (formerly Caritas Institute of Higher Education), assisting in deep learning-related research in the School of Computing and Information Sciences. Prior to that, he worked as a student assistant under the supervision of Professor Xiapu Luo and Professor Haibo Hu of PolyU, assisting in natural language processing and information security-related research. He joined an exchange programme at the University of Illinois Urbana-Champaign (UIUC) in Academic Year 2021/22 Semester 2.

趙逸飛（Aemon）是香港中文大學（中大）電子工程系的博士生，由李丹教授指導。在此之前，他在香港理工大學（理大）以甲等榮譽取得電子及資訊工程學學士學位，並副修應用數學。他在理大最後一年的榮譽學位研究專案是由蕭允治榮休教授指導。同時，他在聖方濟各大學（時為明愛專上學院）擔任專案助理，協助電子計算及信息科學院的深度學習相關研究。此前，他曾在理大羅夏樸教授和胡海波教授指導下擔任學生助理，協助自然語言處理和資訊安全相關研究。他於2021/22學年第二學期加入伊利諾大學厄本那-香檳分校（伊大）的交流計畫。

Research Interests 研究興趣

Cantonese 廣東話
Deep Learning 深度學習
Speech Processing 語音處理
Natural Language Processing 自然語言處理
Computer Vision 電腦視覺

Publications 研究成果

Aemon Yat Fei Chiu, Paco Kei Ching Fung, Roger Tsz Yeung Li, Jingyu Li, and Tan Lee, “Probing Speaker-specific Features in Speaker Representations,” arxiv preprint arxiv: 2501/05310, 2025.

Jingyu Li*, Aemon Yat Fei Chiu*, and Tan Lee, “An Investigation of Reprogramming for Cross-Language Adaptation in Speaker Verification Systems,” in Proceedings of the 14th International Symposium on Chinese Spoken Language Processing (ISCSLP 2024), pp. 388-392, Beijing, China, Nov. 2024. (*equal contribution)

Kaifa Zhao, Le Yu, Shiyao Zhou, Jing Li, Xiapu Luo, Yat Fei Aemon Chiu, and Yutong Liu, “A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification,” in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pp. 10266-10277, Abu Dhabi, United Arab Emirates, Dec. 2022.