Le Zhang

Le Zhang

Ph.D @ Mila - Quebec AI Institute

About me

Greetings, I am Le Zhang, a Ph.D student at the Mila - Quebec AI Institute. Currently, I’m working with Prof. Aishwarya Agrawal in the domain of vision-language learning. Perviously, I obtained Bachelor degree from Fudan University. Besides, I worked with Prof Zhongyu Wei and I conducted a summer research with Prof. Diyi Yang, and interned at Shanghai AI Lab with Dr. Siqi Sun.

Reaserach Interests

My research primarily centers around the domains of computer vision and multimodal learning.

News and Updates

  • [Feb 2024] One paper on vision-language compositional understanding has been accepted to CVPR 2024
  • One paper for zero-shot multimodal question answering got accepted into EMNLP2023 findings
  • Start graduate study at Mila!
  • Interned at Shanghai AI Lab from 2022/02-2022/09
  • Two paper got accepted at NAACL 2022

Publications

  • Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
    Le Zhang, Rabiul Awal, Aishwarya Agrawal
    CVPR 2024 [arXiv | code]
  • MuGI: Enhancing Information Retrieval through Multi-Text Generation Integration with Large Language Models
    Le Zhang, Qian Yang, Yihong Wu.
    arXiv preprint arXiv:2401.06311 [arxiv | code]
  • MoqaGPT: Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
    Le Zhang, Yihong Wu, Fengran Mo, Jian-Yun Nie, Aishwarya Agrawal.
    EMNLP 2023 Findings [arxiv | code]
  • Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
    Rabiul Awal, Le Zhang, Aishwarya Agrawal.
    arXiv preprint arXiv:2306.09996 [arxiv]
  • Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation
    Le Zhang*, Jiayang Chen*, Tao Shen, Yu Li, Siqi Sun.
    arXiv preprint arXiv:2306.01824 [arxiv | code]
  • SUBS: Subtree Substitution for Compositional Semantic Parsing
    Jingfeng Yang*, Le Zhang*, Diyi Yang.
    NAACL 2022 [arxiv | code]
  • TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
    Le Zhang, Zichao Yang, Diyi Yang.
    NAACL 2022 [arxiv | code]

Services