Publications

AI and Language Models

• 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]

• 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

• 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

• System and Method for Real-Time Determination of Particle Size Distributions in Dry Powders
  Qihang Zhang, Ajinkya Pandit, Allan S. Myerson, George Barbastathis, Richard D. Braatz, and Zhen Guo

---

Projects and Workshops

• 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]