Layering and Enveloping: Simplified Algorithm with Balancing Loop Fuzzy Petri Net. - Kai-qing Zhou; Xiao-bo Yue; Xiao-hai Pan; Ming Tang; Zhou Fan (ACFIE, 2010)

How well do local algorithms solve semidefinite programs? - Zhou Fan; Andrea Montanari (STOC, 2017)

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. - Zhou Fan; Rui Su; Weinan Zhang 001; Yong Yu 001 (IJCAI, 2019)

Surfing: Iterative Optimization Over Incrementally Trained Deep Networks. - Ganlin Song; Zhou Fan; John Lafferty (NeurIPS, 2019)

Recognition of Aging Stage of Oil-Paper Insulation Based on Surface Enhanced Raman Scattering and Kernel Entropy Component Analysis. - Dingkun Yang; Weigen Chen; Weiran Zhou; Jingxin Zou; Zhou Fan (IEEE Access, 2019)

Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements. - Sheng Xu; Zhou Fan (CoRR, 2019)

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2019)

Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2019)

Tree-projected gradient descent for estimating gradient-sparse parameters on graphs. - Sheng Xu; Zhou Fan; Sahand Negahban (COLT, 2020)

Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (ICML, 2020)

Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks. - Zhou Fan; Zhichao Wang (NeurIPS, 2020)

Approximate Message Passing algorithms for rotationally invariant matrices. - Zhou Fan (CoRR, 2020)

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings. - Zhou Fan; Yihong Wu 001 (CoRR, 2021)

Local convexity of the TAP free energy and AMP convergence for Z2-synchronization. - Michael Celentano; Zhou Fan; Song Mei (CoRR, 2021)

Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM. - Zhou Fan; Roy R. Lederman; Yi Sun 010; Tianhao Wang 017; Sheng Xu (CoRR, 2021)

Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design✱. - Zhou Fan; Francisco J. Marmolejo Cossío; Ben Altschuler; He Sun; Xintong Wang 002; David C. Parkes (ICAIF, 2022)

Universality of Approximate Message Passing algorithms and tensor networks. - Tianhao Wang 017; Xinyi Zhong; Zhou Fan (CoRR, 2022)

HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes. - Zhou Fan; Xinran Han; Zi Wang (CoRR, 2022)

Strategic Liquidity Provision in Uniswap V3. - Zhou Fan; Francisco J. Marmolejo Cossío; Daniel J. Moroz; Michael Neuder; Rithvik Rao; David C. Parkes (AFT, 2023)

Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models. - Michael Celentano; Zhou Fan; Licong Lin; Song Mei (CoRR, 2023)

Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (Found. Comput. Math., 2023)

Spectral Graph Matching and Regularized Quadratic Relaxations II. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (Found. Comput. Math., 2023)

Nonlinear spiked covariance matrices and signal propagation in deep neural networks. - Zhichao Wang; Denny Wu; Zhou Fan (COLT, 2024)

Optimal Automated Market Makers: Differentiable Economics and Strong Duality. - Michael J. Curry; Zhou Fan; David C. Parkes (CoRR, 2024)

Asymptotic mutual information in quadratic estimation problems over compact groups. - Kaylee Y. Yang; Timothy L. H. Wee; Zhou Fan (CoRR, 2024)

Multi-sensor target tracking algorithm combining node energy planning and distributed collaboration. - Hongping Xie; Chao Han; Tao Huang; Dongyang Lin; Zhou Fan; Jiao Zhu (Evol. Intell., 2024)

Random Linear Estimation With Rotationally-Invariant Designs: Asymptotics at High Temperature. - Yufan Li; Zhou Fan; Subhabrata Sen; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2024)

Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces. - Zhou Fan; Xinran Han; Zi Wang (Trans. Mach. Learn. Res., 2024)

On Universality of Non-Separable Approximate Message Passing Algorithms. - Max Lovig; Tianhao Wang; Zhou Fan (CoRR, 2025)