Dongxu Zhang

Research scientist at ASAPP

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Amherst, MA 01002

I am a research scientist at ASAPP . Previously I received my PhD in Computer Science at Umass Amherst , working with Professor Andrew McCallum. My thesis topic is to represent graphs in a compact, geometric-based embedding space. I am broadly interested in natural language processing and machine learning.

During my research career, I have had the great pleasure collaborating with Michael Boratko (UMass), Lorraine Li (UMass), Sunil Mohan (CZI), Subhabrata Mukherjee (now at Microsoft), Luna Dong (Amazon, now at Meta), Sujian Li (Peking University), and Dong Wang (Tsinghua University).

News

May 15, 2024 A paper about hallucination detection has been accepted by ACL 2024 findings.
Mar 27, 2023 Joined ASAPP.
Feb 28, 2023 Graduated from PhD!
Sep 14, 2022 Our paper has been accepted by Neurips 2022.
Apr 18, 2022 Two relation extraction dataset papers have been accepted by LREC 2022.

Selected Publications

  1. NeurIPS
    Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
    Dongxu Zhang, Michael Boratko, Cameron Musco, and Andrew McCallum
    Advances in Neural Information Processing Systems 2022
  2. NeurIPS
    Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
    Michael Boratko*, Dongxu Zhang*, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, and Andrew McCallum
    Advances in Neural Information Processing Systems 2021
  3. NAACL
    OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
    Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, and Andrew McCallum
    In Proceedings of NAACL-HLT 2019
  4. COLING
    Bitext name tagging for cross-lingual entity annotation projection
    Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, and Weiran Xu
    In Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers 2016