Publications
AI and Language Models
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Synthetic Data RL: Task Definition Is All You Need
Yiduo Guo, Zhen Guo, Chuanwei Huang, Zi-Ang Wang, Zekai Zhang, Haofei Yu, Huishuai Zhang, Yikang Shen
NeurIPS 2025 submission
[paper] -
Scaling Law Hypothesis for Multimodal Model
Qingyun Sun, Zhen Guo
PIN AI White Paper
[paper] -
Octo-planner: On-device Language Model for Planner-Action Agents
Wei Chen, Zhiyuan Li, Zhen Guo, Yikang Shen
Nexa AI Technical Report
[paper] -
More Compute Is What You Need
Zhen Guo
Speculation Paper on arXiv
[paper] -
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Yikang Shen, Zhen Guo, Tianle Cai, Zengyi Qin
MyShell AI Technical Report
[paper] [code] [demo] -
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
ICLR 2025
[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
ICLR 2025 Data Problem
[paper] -
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising
Zhen Guo, Shangdi Yu
NeurIPS 2023 on Generative AI for Education
[paper] -
Dr. LLaMA: 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]
Optics, Imaging, and Applied Physics
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Non-invasive Estimation of the Powder Size Distribution from a Single Speckle Image
Qihang Zhang, George Barbastathis, Ajinkya Pandit, Zhiguang Liu, Zhen Guo, et al.
Nature, Light: Science & Applications
[paper] -
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, et al.
Nature Communications (2023)
[paper] -
PLayer: a plug-and-play embedded neural system to boost neural organoid 3D reconstruction
Yuanzheng Ma, Davit Khutsishvili, Zihan Zang, Wei Yue, Zhen Guo, Tao Feng, Zitian Wang, Liwei Lin, Shaohua Ma, Xun Guan
Advanced Photonics Nexus (2025)
[paper] -
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] -
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
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Pupil Engineering Method to Enhance the Signal of the Real-Time Determination of Particle Size Distribution in Powders
Qihang Zhang, Ajinkya Pandit, Allan S. Myerson, George Barbastathis, Janaka C. Gamekkanda Gamaethige, Richard D. Braatz, Zhen Guo
US Patent Application 18/845,719 (2025) -
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, Zhen Guo
US Patent Application 18/845,766 (2025)
Projects and Workshops
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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]