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Zhou Fan
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Journal Articles
- 2024
- [j6]Hongping Xie, Chao Han, Tao Huang, Dongyang Lin, Zhou Fan, Jiao Zhu:
Multi-sensor target tracking algorithm combining node energy planning and distributed collaboration. Evol. Intell. 17(5): 4069-4081 (2024) - [j5]Yufan Li, Zhou Fan, Subhabrata Sen, Yihong Wu:
Random Linear Estimation With Rotationally-Invariant Designs: Asymptotics at High Temperature. IEEE Trans. Inf. Theory 70(3): 2118-2153 (2024) - [j4]Zhou Fan, Xinran Han, Zi Wang:
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j3]Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu:
Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis. Found. Comput. Math. 23(5): 1511-1565 (2023) - [j2]Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu:
Spectral Graph Matching and Regularized Quadratic Relaxations II. Found. Comput. Math. 23(5): 1567-1617 (2023) - 2019
- [j1]Dingkun Yang, Weigen Chen, Weiran Zhou, Jingxin Zou, Zhou Fan:
Recognition of Aging Stage of Oil-Paper Insulation Based on Surface Enhanced Raman Scattering and Kernel Entropy Component Analysis. IEEE Access 7: 127862-127873 (2019)
Conference and Workshop Papers
- 2024
- [c12]Zhichao Wang, Denny Wu, Zhou Fan:
Nonlinear spiked covariance matrices and signal propagation in deep neural networks. COLT 2024: 4891-4957 - 2023
- [c11]Zhou Fan, Francisco J. Marmolejo Cossío, Daniel J. Moroz, Michael Neuder, Rithvik Rao, David C. Parkes:
Strategic Liquidity Provision in Uniswap V3. AFT 2023: 25:1-25:22 - [c10]Yufan Li, Zhou Fan, Subhabrata Sen, Yihong Wu:
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature. ISIT 2023: 156-161 - 2022
- [c9]Zhou Fan, Francisco J. Marmolejo Cossío, Ben Altschuler, He Sun, Xintong Wang, David C. Parkes:
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design✱. ICAIF 2022: 9-17 - 2020
- [c8]Sheng Xu, Zhou Fan, Sahand Negahban:
Tree-projected gradient descent for estimating gradient-sparse parameters on graphs. COLT 2020: 3683-3708 - [c7]Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu:
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory. ICML 2020: 2985-2995 - [c6]Zhou Fan, Zhichao Wang:
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks. NeurIPS 2020 - 2019
- [c5]Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. IJCAI 2019: 2279-2285 - [c4]Ganlin Song, Zhou Fan, John Lafferty:
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks. NeurIPS 2019: 15008-15017 - 2017
- [c3]Feng Chuan, Sui Tao, Zhou Fan:
Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals. ICIIP 2017: 7:1-7:7 - [c2]Zhou Fan, Andrea Montanari:
How well do local algorithms solve semidefinite programs? STOC 2017: 604-614 - 2010
- [c1]Kai-qing Zhou, Xiao-bo Yue, Xiao-hai Pan, Ming Tang, Zhou Fan:
Layering and Enveloping: Simplified Algorithm with Balancing Loop Fuzzy Petri Net. ACFIE 2010: 637-646
Informal and Other Publications
- 2024
- [i21]Michael J. Curry, Zhou Fan, David C. Parkes:
Optimal Automated Market Makers: Differentiable Economics and Strong Duality. CoRR abs/2402.09129 (2024) - [i20]Zhichao Wang, Denny Wu, Zhou Fan:
Nonlinear spiked covariance matrices and signal propagation in deep neural networks. CoRR abs/2402.10127 (2024) - [i19]Kaylee Y. Yang, Timothy L. H. Wee, Zhou Fan:
Asymptotic mutual information in quadratic estimation problems over compact groups. CoRR abs/2404.10169 (2024) - 2023
- [i18]Zhou Fan, Xinran Han, Zi Wang:
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces. CoRR abs/2309.16597 (2023) - [i17]Michael Celentano, Zhou Fan, Licong Lin, Song Mei:
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models. CoRR abs/2311.08442 (2023) - 2022
- [i16]Zhou Fan, Francisco J. Marmolejo Cossío, Ben Altschuler, He Sun, Xintong Wang, David C. Parkes:
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design. CoRR abs/2204.00464 (2022) - [i15]Tianhao Wang, Xinyi Zhong, Zhou Fan:
Universality of Approximate Message Passing algorithms and tensor networks. CoRR abs/2206.13037 (2022) - [i14]Zhou Fan, Xinran Han, Zi Wang:
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes. CoRR abs/2212.10538 (2022) - [i13]Yufan Li, Zhou Fan, Subhabrata Sen, Yihong Wu:
Random linear estimation with rotationally-invariant designs: Asymptotics at high temperature. CoRR abs/2212.10624 (2022) - 2021
- [i12]Zhou Fan, Yihong Wu:
The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings. CoRR abs/2105.02797 (2021) - [i11]Michael Celentano, Zhou Fan, Song Mei:
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization. CoRR abs/2106.11428 (2021) - [i10]Zhou Fan, Roy R. Lederman, Yi Sun, Tianhao Wang, Sheng Xu:
Maximum likelihood for high-noise group orbit estimation and single-particle cryo-EM. CoRR abs/2107.01305 (2021) - 2020
- [i9]Zhou Fan, Zhichao Wang:
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks. CoRR abs/2005.11879 (2020) - [i8]Sheng Xu, Zhou Fan, Sahand Negahban:
Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs. CoRR abs/2006.01662 (2020) - [i7]Zhou Fan:
Approximate Message Passing algorithms for rotationally invariant matrices. CoRR abs/2008.11892 (2020) - 2019
- [i6]Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. CoRR abs/1903.01344 (2019) - [i5]Sheng Xu, Zhou Fan:
Iterative Alpha Expansion for estimating gradient-sparse signals from linear measurements. CoRR abs/1905.06097 (2019) - [i4]Ganlin Song, Zhou Fan, John Lafferty:
Surfing: Iterative optimization over incrementally trained deep networks. CoRR abs/1907.08653 (2019) - [i3]Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu:
Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model. CoRR abs/1907.08880 (2019) - [i2]Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu:
Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality. CoRR abs/1907.08883 (2019) - 2016
- [i1]Zhou Fan, Andrea Montanari:
How Well Do Local Algorithms Solve Semidefinite Programs? CoRR abs/1610.05350 (2016)
Coauthor Index
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