Huiru Xiao 肖慧如

I am Huiru Xiao, a researcher and educator in the filed of Machine Learning and Artificial Intelligence. My research topic is natural language processing. I am interested in geometric representation learning, ethical and responsible artificial intelligence.

I am actively looking for research and/or teaching opportunities and collaborations!

I obtained my Ph.D. degree in Department of Computer Science and Engineering, the Hong Kong University of Science and Technology in 2022, supervised by Yangqiu Song. My thesis title is Learning with Hierarchical Data.

I obtained my B.Sc. degree in Mathematics and Physics, Tsinghua University in 2016.

Teaching Experience

Lecturer (August 2023 - August 2026)

Undergraduate Courses

• COMP1944: Artificial Intelligence Ethics, in HKUST, Fall 2024, Fall 2025.
• COMP2211: Introduction to Artificial Intelligence (previous name: Exploring Artificial Intelligence), in HKUST, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026.
• COMP3211: Learning, Reasoning, and Decision Making in AI (previous name: Fundamentals of Artificial Intelligence), in HKUST, Spring 2024, Spring 2025, Spring 2026.
• COMP3711: Design and Analysis of Algorithms, in HKUST, Fall 2023, Fall 2024, Spring 2026.
• USTM25: Cloud Services in Azure, in HKUST, Winter 2023.

Postgraduate Courses

• MAIE5103: Artificial Intelligence Ethics, in HKUST, Fall 2025.

Instructional Assistant (September 2022 - August 2023)

• COMP2211: Exploring Artificial Intelligence, in HKUST, Fall 2022, Spring 2023.
• COMP3711: Design and Analysis of Algorithms, in HKUST, Fall 2022, Spring 2023.
• USTM25: Cloud Services in Azure, in HKUST, Winter 2022, Summer 2023.

Research Supervision & Project Leadership

2025-2026, in HKUST

Exploring LLMs’ Reasoning Capabilities of Answering Riddles

• Students: CHENG Zi Hao, LI Haoyuan, SY Ming Lung, ZHU Fei Hao.

Development of an AI-Powered Health Application for Physical and Mental Well-Being

• Students: CHEUNG Tsz Ching, CHIU Chung Yiu, LO Nga Ching, SUN Yee.

Web-Based Multilingual Chatbot for Language Coaching

• Co-supervised with Dr. Desmond Yau-chat Tsoi.
• Students: HUSEIN Wilson Christopher, MULYANTO Nevio Justin, WIDJAJA Meidyana Audrey.

AI Driven Data Research in Quantitative Finance

• Co-supervised with Prof. Wei Jiang.
• Co-supervision project with WorldQuant.
• Student: HUNG Tin Ching.

Co-op Program: Source of Wealth Identification: Agentic AI for Source of Wealth Due Diligence in Private Banking

• Deloitte program.
• Students: ALI Shahman, RANASINGHE Yehan Lakvindu.

Distinguished Course Projects in MAIE5103

• The Ghost in the Noise: Exploring Perceptual Boundaries Between Humans and AI
• AI in Hiring: Building a Bias-Free Recruitment System
• The Cost of Being Understood: The Privacy–Convenience Paradox, Autonomy Erosion, and Accountability Gaps in Short-Video Recommendation System

2024-2025, in HKUST

Measuring GPT Gender Bias

• Students: LEUNG Kam Ming, YEUNG Tsz Yuet, YIU Tin Cheung Ivan.

Culturally-Aware Chatbots for Addressing School Bullying

• Students: CHENG Man Him, LIN Junming, MA Zepeng, MIU Victor.

Development of a Locally Running Personal AI Assistant for Enhanced Computer Interaction

• Students: CHIU Ho Sun, LAM Ngai Shun, LAU Chit Shing, LEUNG Ka Sing.
• HKSTP Ideation Programme.

Co-op Program: IRIS News Curator: Intelligent Risk and Incident Sharing

• Deloitte program.
• Student: TAYDEY Charline.

Publications

• EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion
  Ying Su, Tianqing Fang, Huiru Xiao, Weiqi Wang, Yangqiu Song, Tong Zhang, Lei Chen. preprint, 2024. [pdf]
• Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
  Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See. EMNLP, 2022. [pdf][code]
• Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space
  Huiru Xiao, Caigao Jiang, Yangqiu Song, James Zhang, Junwu Xiong. preprint, 2021. [pdf][code]
• Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning
  Huiru Xiao, Yangqiu Song. AKBC, 2021, Outstanding Paper Award. [pdf][code]
• Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierachcial Text Classification
  Huiru Xiao, Xin Liu, Yangqiu Song. WWW, 2019. [pdf][code]

Research Internship

• Research intern in NVIDIA, March 2022 - August 2022.
• Algorithm engineer intern in Ant Group, July 2020 - September 2020.
• Research intern in Carnegie Mellon University, August 2015 - September 2015.

Academic Service

• Textbook Proposal Reviewer for MIT Press: 2026.
• Journal Reviewer: IEEE Transactions on Vehicular Technology, 2023-2024.
• Conference Reviewer: ACL’21,22, EMNLP’21,22, ICLR’22, ICML’21,23, NeurIPS’20,21.
• Conference External Reviewer: ACL’19, EMNLP’19, IJCAI’19,20, KDD’19,21.
• Conference Volunteer: IJCAI’19.