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Hi there ๐Ÿ‘‹

I'm Chunhui Zhang, a Ph.D. student in Computer Science at Dartmouth๐ŸŒฒ, working with ๐ŸŒŸProfessor Soroush Vosoughi. I hold an MSCS degree from Brandeis University, where I was honored with the GSAS Fellowship, and a Bachelor's degree in CS from Northeastern University, receiving the Outstanding Honor Thesis Award.

๐Ÿ”ญ My research investigates the intrinsic properties of deep learning across diverse modalities, aiming to drive trustworthy real-world applications. Some of my key works include:

  • Efficient Vision-Language Generation in Large Model (in submission)
  • Inherent robustness of Mixture-of-Experts ICLR
  • Meta learning on relational structures TMLR
  • Low-dimensionality in self-supervised training data: ICML & NeurIPS
  • Emergence of language concepts in compact vision models CIKM

Feel free to explore these links for a deeper insight into my work and contributions to the field.

๐ŸŒฑ Iโ€™m currently focused on expanding my research in machine learning and artificial intelligence, especially in areas that intersect with real-world applications.

๐Ÿ‘ฏ Iโ€™m open to collaborations in research projects that align with my interests, particularly those that push the boundaries of machine learning and AI.

๐Ÿ’ฌ Ask me about my research, machine learning, and the journey in academia. I'm always excited to share insights and learn from others' experiences.

๐Ÿ“ซ How to reach me: You can email me at [email protected] or connect with me on LinkedIn, GitHub, or Twitter. Also, check out my Google Scholar profile for my publications.

๐Ÿ˜„ Pronouns: He/Him

โšก Fun fact: Outside of research, I enjoy racing - go-karting and circuit racing are some of my favorite activities. I'm also looking forward to trying rally driving someday!


Feel free to drop me an email if you're up for a laid-back chat about life, career, or research. I'm particularly eager to connect with students from underrepresented backgrounds or those dealing with challenges or inequity.

Chunhui Zhang's Projects

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

dataloaders_dali icon dataloaders_dali

PyTorch DataLoaders implemented with DALI for accelerating image preprocessing

fbnet icon fbnet

reproduction of the article

fedprox icon fedprox

Federated Optimization for Heterogeneous Networks

hbonet icon hbonet

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

pc-darts icon pc-darts

Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

proxylessnas icon proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

pt.darts icon pt.darts

PyTorch Implementation of DARTS: Differentiable Architecture Search

pysyft icon pysyft

A library for encrypted, privacy preserving deep learning

pytorch-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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