Ellen Wang

Postdoctoral Fellow, Northwestern University.

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Hi, I’m Zhu (Ellen) Wang. I am a Postdoctoral Scholar at Northwestern University, working with Prof. Brian Uzzi. I received my Ph.D. in Computer Science from the University of Illinois at Chicago. During my doctoral studies, I was affiliated with the ADVIS Lab and was advised by Prof. Isabel Cruz (In Memoriam) on ontology matching. I later worked with Prof. Saythi Ravi on multimodal vision–language models.

My research lies at the intersection of deep learning and network science. I study multimodal AI systems that integrate vision, language, and structured knowledge to support robust reasoning across domains. My work spans vision–language modeling, optimization and efficient learning, knowledge graph and applications of scientific and technological systems.

More broadly, I focus on AI for scientific discovery — developing systems that model and reason over complex knowledge structures in science.

"Have no fear of perfection; you’ll never reach it." --Marie Curie

news

Dec 09, 2025 ✅ Our target unlearning paper has been accepted at TMLR: OpenReview!
Aug 25, 2025 🔥 DesignCLIP accepted at EMNLP 2025 (Findings)! 📄 Paper · 💻 Code · 🤗 Model
May 25, 2025 🎉 Two papers accepted at ACL 2025! 📄 Patent Survey (ACL Long) · 💬 Empathic Generation (Findings)
May 11, 2025 🎓 Officially graduated! 📘 Ph.D. Thesis

selected publications

  1. vk-ood.png
    Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
    Zhu Wang, Sourav Medya, and Sathya N. Ravi
    In Thirty-seventh Conference on Neural Information Processing Systems, 2023
  2. designclip.png
    DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
    Zhu Wang, Homaira Huda Shomee, Sathya N. Ravi, and 1 more author
    In The 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  3. rlo.png
    Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
    Zhu Wang, Praveen Raj Veluswami, Harsh Mishra, and 1 more author
    In The 28th International Conference on Artificial Intelligence and Statistics, 2025