Value Creation + Investment = Wealth

I am a serial entrepreneur and machine learning physicist, currently pursuing my Ph.D. at MIT EECS, advised by Professor George Barbastathis in 3D Optics Group. My research focuses on data-efficient machine learning for 3D imaging.

Prior to my time at MIT, I resided in California for seven years, where I received my B.A. with the highest honor in physics and minors in English and EECS from UC Berkeley, mentored by Professor Alex Zettl and Professor Xiang Zhang (now at the University of Hong Kong). Throughout my journey, I have co-founded multiple tech startups and a venture DAO, each driven by the common goal of effecting positive change through innovation and technology. My experiences have nurtured my fervor for pushing the boundaries of what’s possible and making a lasting impact with practical solutions.

News

In summer 2024, I will be joining Apple AIML Residency Program for vision language models.

In summer 2023, I interned at MIT-IBM Watson AI Lab to develop large language models for code generation, mentored by Dr. Ramsware Panda and Dr. Yikang Shen.

Publications

More Compute Is What You Need

Zhen Guo
arXiv.
[paper]

JetMoE: Reaching Llama2 Performance with 0.1M Dollars

Yikang Shen, Zhen Guo, Tianle Cai, Zengyi Qin
Technical report.
[paper] [code] [demo]

Non-invasive Estimation of the Powder Size Distribution from a Single Speckle Image

Qihang Zhang, George Barbastathis, Ajinkya Pandit, Zhiguang Liu, Zhen Guo, Shashank Muddu, Yi Wei, Deborah Pereg, Neda Nazemifard, Charles Papageorgiou, Yihui Yang, Wenlong Tang, Richard D. Braatz, Allan S. Myerson
Nature, Light: Science & Applications.
[paper]

API Pack: A Massive Multilingual Dataset for API Call Generation

Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
ICML 2024 conference submission.
[paper]

Diversity Measurement and Subset Selection for Instruction Tuning Datasets

Peiqi Wang, Yikang Shen, Zhen Guo, Matthew J. Stallone, Yoon Kim, Polina Golland, Rameswar Panda
ICML 2024 conference submission.
[paper]

AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising

Zhen Guo, Shangdi Yu
NeurIPS 2023 on Generative AI for Education.
[paper]

Improving Small Language Models on PubMedQA via Generative Data Augmentation

Zhen Guo, Peiqi Wang, Yanwei Wang, Shangdi Yu
KDD 2023 Foundations and Applications in Large-scale AI Models.
[paper] [code]

On the Use of Deep Learning for Three-Dimensional Computational Imaging

George Barbastathis, Subeen Pang, Iksung Kang, Zhiguang Liu, Zhen Guo, and Fucai Zhang
SPIE Photonics West (2023).
[paper]

Noise-resilient Deep Tomographic Imaging

Zhen Guo, Zhiguang Liu, George Barbastathis, Qihang Zhang, Michael E. Glinsky, Bradley K. Alpert, Zachary H. Levine
Optica Open (2022).
[paper] [code]

Physics-assisted Generative Adversarial Network for X-ray Tomography

Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine
Optics Express (2022).
Conference proceeding at Electronic Imaging: Machine Learning for Scientific Imaging (2022).
[paper] [slide] [code] [link]

LION: Learning to Invert 3D Objects by Neural Networks

George Barbastathis, Jungki Song, Zilin Wu, Subeen Pang, Zhen Guo
Microsystems Technology Laboratories Annual Research Report (2021).
[paper]

Randomized Probe Imaging Through Deep k-learning

Zhen Guo, Abraham Levitan, George Barbastathis, Riccardo Comin
Optics Express (2022).
Conference proceeding at Computational Optical Sensing and Imaging (2021).
[paper] [slide] [code] [link]

Ferromagnetism Emerged from Non-ferromagnetic Atomic Crystals

Cheng Gong, Xiang Zhang, Peiyao Zhang, Tenzin Norden, Quanwei Li, Zhen Guo, Apoorva Chaturvedi, Arman Najafi, Shoufeng Lan, Xiaoze Liu, Yuan Wang, Shi-Jing Gong, Hao Zeng, Hua Zhang, Athos Petrou
Nature Communications (2023).
[paper]

Wafer-scale On-chip Synthesis and Field Emission Properties of Vertically Aligned Boron Nitride Based Nanofiber Arrays

Hu Long, Thang Pham, Aiming Yan, Zhen Guo, Hiroya Ishida, Wu Shi, Sally Turner, S.Matt Gilbert, and Alex Zettl
Applied Physics Letters (2019).
[paper]

Patents

System and Method for Real-Time Determination of Particle Size Distributions in Dry Powders

Qihang Zhang, Ajinkya Pandit, Allan S. Myerson, George Barbastathis, Janaka C. Gamekkanda Gamaethige, Richard D. Braatz, and Zhen Guo

Projects

Gen-VQA: Generative Visual Question Answering with Abstract Scenes

Yifan Yang, Zhen Guo
MIT 6.869 Advances in Computer Vision, Fall 2019.
[report] [code]

Hardware Efficient Quantum Computing via Circuit Decomposition

Tianyi Peng, Linsen Li, Kaidong Peng, Yufeng Ye, Zhen Guo
iQuHACK MIT Quantum Hackathon (first place), Winter 2019.
[report] [code]

Gavin Guo (国振)