About me

I am Huiru Xiao, a lecturer in Department of Computer Science and Engineering, the Hong Kong University of Science and Technology.

I obtaind 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 research topics are machine learning and natural language processing. I am interested in geometric learning for knowledge graph representations. 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 - Present)

• COMP1944: Artificial Intelligence Ethics, in HKUST, Fall 2024.
• COMP2211: Exploring Artificial Intelligence, in HKUST, Fall 2023, Spring 2024, Fall 2024.
• COMP3211: Fundamentals of Artificial Intelligence, in HKUST, Spring 2024.
• COMP3711: Design and Analysis of Algorithms, in HKUST, Fall 2023, Fall 2024.
• USTM25: Cloud Services in Azure, in HKUST, Winter 2023.

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.

Teaching Assistant (during Ph.D. study)

• COMP3211: Fundamentals of Artificial Intelligence, in HKUST, Spring 2017, Spring 2018, Fall 2019.
• COMP3721: Theory of Computation, in HKUST, Fall 2017.

Publications

• 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

• Journal Reviewer: IEEE Transactions on Vehicular Technology
• 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.