Zhiqi Huang

Ph.D. in computer science

my_profile_img.jpg
photo @ Yellowstone

Hi, I am an Applied Researcher at Capital One. I received my Ph.D. under the mentorship of my advisor, Prof. James Allan, at the Center for Intelligent Information Retrieval (CIIR), Manning College of Information and Computer Sciences, University of Massachusetts Amherst. My research endeavors lie at the intersection of information retrieval, natural language processing, and machine learning (IR/NLP/ML).

I received my master’s in Statistics from the University of Maryland, College Park, and my bachelor’s in Applied Math from Sun Yat-sen University.

news

Sep 20, 2024 Our paper “Language Concept Erasure for Language-invariant Dense Retrieval” has been accepted for the EMNLP 2024 oral presentation at the main conference. See you in Miami!
Jul 22, 2024 I’m joining Capital One as an applied researcher.
Jun 26, 2024 I defended my dissertation and completed my Ph.D. study!
Jun 03, 2024 My internship work with Google, “Optimizing Large-Scale Context Retrieval for End-to-end ASR”, is accepted at Interspeech 2024.
Oct 02, 2023 I’m joining Google as research intern.

selected publications

  1. Search Result Diversification Using Query Aspects as Bottlenecks
    Puxuan Yu, Razieh Rahimi, Zhiqi Huang, and James Allan
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
  2. Soft Prompt Decoding for Multilingual Dense Retrieval
    Zhiqi Huang, Hansi Zeng, Hamed Zamani, and James Allan
    In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
  3. Hierarchical Transformer-based Query by Multiple Documents
    Zhiqi Huang*, Shahrzad Naseri*, Hamed Bonab, Sheikh Muhammad Sarwar, and James Allan
    In Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023
    (*equal contribution)