Yi-Zhuang You

23 papers A* 1B 1Journal 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dual-unitary shadow tomography.
Quantum
Ahmed A. Akhtar, Namit Anand, Jeffrey Marshall, Yi-Zhuang You
2025 J jnl
How Focused Are LLMs? A Quantitative Study via Repetitive Deterministic Prediction Tasks.
CoRR
Wanda Hou, Leon Zhou, Hong-Ye Hu, Yi-Zhuang You, Xiao-Liang Qi
2025 J jnl
Monte Carlo Simulation of Operator Dynamics and Entanglement in Dual-Unitary Circuits.
Quantum
Menghan Song, Zhaoyi Zeng, Ting-Tung Wang, Yi-Zhuang You, Zi Yang Meng, Pengfei Zhang
2025 J jnl
OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data.
Trans. Mach. Learn. Res.
Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Yi-Zhuang You, Jingbo Shang
2025 J jnl
Sequential learning on a tensor network Born machine with trainable token embedding.
Mach. Learn. Sci. Technol.
Wanda Hou, Miao Li, Yi-Zhuang You
2025 J jnl
Symmetry protected topological phases under decoherence.
Quantum
Jong Yeon Lee, Yi-Zhuang You, Cenke Xu
2024 J jnl
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows.
CoRR
Hong-Ye Hu, Andi Gu, Swarnadeep Majumder, Hang Ren, Yipei Zhang, Derek S. Wang, Yi-Zhuang You, Zlatko Minev, Susanne F. Yelin, Alireza Seif
2024 B conf
Frequency Domain Diffusion Model with Scale-Dependent Noise Schedule.
ISIT
Amir Ziashahabi, Baturalp Buyukates, Artan Sheshmani, Yi-Zhuang You, Salman Avestimehr
2024 J jnl
Observing Schrödinger's cat with artificial intelligence: emergent classicality from information bottleneck.
Mach. Learn. Sci. Technol.
Zhelun Zhang, Yi-Zhuang You
2023 J jnl
Categorical representation learning and RG flow operators for algorithmic classifiers.
Mach. Learn. Sci. Technol.
Artan Sheshmani, Yi-Zhuang You, Wenbo Fu, Ahmadreza Azizi
2023 A* conf
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space.
ICML
Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang
2023 J jnl
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space.
CoRR
Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang
2023 J jnl
Machine learning renormalization group for statistical physics.
Mach. Learn. Sci. Technol.
Wanda Hou, Yi-Zhuang You
2023 J jnl
OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution.
CoRR
Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang
2023 J jnl
Quantum Generative Modeling of Sequential Data with Trainable Token Embedding.
CoRR
Wanda Hou, Miao Li, Yi-Zhuang You
2023 J jnl
Scalable and Flexible Classical Shadow Tomography with Tensor Networks.
Quantum
Ahmed A. Akhtar, Hong-Ye Hu, Yi-Zhuang You
2022 J jnl
Categorical representation learning: morphism is all you need.
Mach. Learn. Sci. Technol.
Artan Sheshmani, Yi-Zhuang You
2022 J jnl
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior.
Mach. Learn. Sci. Technol.
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
2022 J jnl
Symmetric Mass Generation.
Symmetry
Juven C. Wang, Yi-Zhuang You
2021 J jnl
Hamiltonian-Driven Shadow Tomography of Quantum States.
CoRR
Hong-Ye Hu, Yi-Zhuang You
2021 J jnl
Neural ordinary differential equation and holographic quantum chromodynamics.
Mach. Learn. Sci. Technol.
Koji Hashimoto, Hong-Ye Hu, Yi-Zhuang You
2020 J jnl
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior.
CoRR
Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
2019 J jnl
Information Scrambling in Quantum Neural Networks.
CoRR
Huitao Shen, Pengfei Zhang, Yi-Zhuang You, Hui Zhai