← All authors Yi Zhang Harvard University (from arXiv:2311.02467, 2023) · ORCID · OpenAlex
43 papers in scope · 40 published · 3 on the econ.EM arXiv · 813 citations · h-index 15 (over the papers listed here)
Identity warning. This paper may have been attributed to the wrong person by OpenAlex. Treat the list below with caution. Evidence: works_count 932 >= 800; alternative names carry 4 different surnames: bi, hu, liu, yi; 10 distinct last-known institutions; 10 institutions is not one person's career; only 1.5% of output in economics/statistics; a 932-work profile hanging on 1 econ.EM paper.
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Hiroaki Kaido Francesca Molinari Yuanqi Zhang Kosuke Imai Maura Coughlin Joshua C. Teitelbaum Matias D. Cattaneo Seungjin Han Levon Barseghyan Samuel Higbee Sebastián Calónico Andrew Chesher Luke Keele Harrison H. Li Max H. Farrell Art B. Owen Marinho Bertanha Rocío Titiunik Lixiong Li Gonzalo Vázquez-Baré Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (3 of 43)
Monotone estimation for the coefficient functions of varying coefficient models
published 2026 · Statistics and Its Interface
with Shuyan Chen, Shaoli Wang
Change-Point Detection for Object-Valued Time Series
published 2025 · Journal of Business and Economic Statistics
GAN-MAML strategy for biomass energy production: Overcoming small dataset limitations
published 2025 · Applied Energy · 20 citations
with Yanji Hao, Yu Fu, Yijing Feng, Yeqing Li, Xiaonan Wang, Junting Pan, Yongming Han, XU Chun-ming
Semiparametric expectile regression for high-dimensional heavy-tailed and heterogeneous data
published 2025 · Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao · 2 citations · first circulated 2019
with Jun Zhao, Guanao Yan
working paper 2025 · arXiv
Neural Memory Self-Supervised State Space Models With Learnable Gates
published 2025 · IEEE Signal Processing Letters · 2 citations
with Zhihua Wang, Yuxin He, Tao He, Jiajun Bu
Novel credibility approaches for Lorenz curve and Gini coefficient estimation
published 2024 · Statistics · 5 citations
with Limin Wen, Ruyi Cao
Attractors coexistence and representation research of Lotka–Volterra recurrent neural networks by matrix analysis theory
published 2024 · Neurocomputing · 1 citations
with Ruonan Wu, Ziqian Zong, Jiali Yu, Shizhi Zhang
A Forward Learning Algorithm for Neural Memory Ordinary Differential Equations
published 2024 · International Journal of Neural Systems · 3 citations
with Xiuyuan Xu, Haiying Luo, Haixian Zhang
working paper 2023 · arXiv · 1 citations
Another look at bandwidth-free inference: a sample splitting approach
published 2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 4 citations
nmODE: neural memory ordinary differential equation
published 2023 · Artificial Intelligence Review · 49 citations
Bayesian PBPK modeling using R/Stan/Torsten and Julia/ SciML /Turing.Jl
published 2023 · CPT Pharmacometrics & Systems Pharmacology · 14 citations
with Ahmed Elmokadem, Timothy D. Knab, Eric Jordie, William R. Gillespie
Weight matrix as a switch between line attractor and plane attractor of ring neural networks
published 2022 · Neurocomputing · 2 citations
with Jiali Yu, Wenshuang Chen, Jinsong Leng, Chunxiao Wang
working paper 2022 · arXiv · 4 citations
Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I
published 2022 · CPT Pharmacometrics & Systems Pharmacology · 18 citations · first circulated 2021
with Charles C. Margossian, William R. Gillespie
Continuous Recurrent Neural Networks Based on Function Satlins
published 2022 · Neural Processing Letters · 2 citations
with Yue Huang, Jiali Yu, Jinsong Leng, Bisen Liu
Double/debiased machine learning for logistic partially linear model
published 2021 · Econometrics Journal · 24 citations · first circulated 2020
with Molei Liu, Doudou Zhou
Adaptive sparse dropout: Learning the certainty and uncertainty in deep neural networks
published 2021 · Neurocomputing · 32 citations
with Yuanyuan Chen
Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity
published 2021 · Statistical Papers · 15 citations · first circulated 2019
with Jun Zhao, Guanao Yan
The effect of coefficients on the continuous attractors in coupled Highway Neural Networks
published 2020 · Neurocomputing · 7 citations
with Wenshuang Chen, Jiali Yu, Hong Qu
Additive Hazard Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies
published 2020 · Journal of Mathematics
with June Liu
Scalable interpretable learning for multi-response error-in-variables regression
published 2020 · Journal of Multivariate Analysis · 7 citations
with Jie Wu, Zemin Zheng, Yang Li
A novel method to compute the weights of neural networks
published 2020 · Neurocomputing · 13 citations
with Zhentao Gao, Yuanyuan Chen
Line attractors of coupled ring neural networks with block circulant weight matrix
published 2019 · International Journal of Computer Mathematics · 5 citations
with Jiali Yu, Jinsong Leng
Expectile regression for analyzing heteroscedasticity in high dimension
published 2018 · Statistics & Probability Letters · 39 citations
with Jun Zhao, Yingyu Chen
Recurrent Neural Networks With Auxiliary Memory Units
published 2017 · IEEE Transactions on Neural Networks and Learning Systems · 59 citations
with Jianyong Wang, Lei Zhang, Quan Guo
Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks
published 2016 · IEEE Transactions on Neural Networks and Learning Systems · 122 citations
with Yi-Fei Pu, Jiliu Zhou
The performance evaluation of diagonal recurrent neural network with different chaos neurons
published 2015 · Neural Computing and Applications · 4 citations
with Mingsheng Liu, Boyuan Ma, Yi Zhen
Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks
published 2014 · IEEE Transactions on Neural Networks and Learning Systems · 32 citations
with Jian Lv, Yunxia Li
Self-organizing Ising model of artificial financial markets with small-world network topology
published 2013 · Europhysics Letters (EPL) · 12 citations
with Haijie Zhao, Jie Zhou, Anghui Zhang, Guifeng Su
A novel neural network method for shortest path tree computation
published 2012 · Applied Soft Computing · 7 citations
with Hong Qu, Simon X. Yang, Xiaobin Wang
Continuous attractors of a class of neural networks with a large number of neurons
published 2011 · Computers & Mathematics with Applications · 3 citations
with Fang Xu
Solving TSP by using Lotka–Volterra neural networks
published 2009 · Neurocomputing · 15 citations
with Manli Li, Min Zhu
Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks
published 2009 · IEEE Transactions on Neural Networks · 38 citations
with Lei Zhang, Jiali Yu, Kok Kiong Tan
A ROBUST AND GLOBALLY CONVERGENT PCA LEARNING ALGORITHM
published 2007 · Control and Intelligent Systems · 2 citations
with Mao Ye, Kok Kiong Tan
Global convergence of Oja's PCA learning algorithm with a non-zero-approaching adaptive learning rate
published 2006 · Theoretical Computer Science · 22 citations
with Jian Lv, Kok Kiong Tan
Some chaotic behaviors in a MCA learning algorithm with a constant learning rate
published 2006 · Chaos Solitons & Fractals · 2 citations
with Jian Lv
Convergence Analysis of a Deterministic Discrete Time System of Oja's PCA Learning Algorithm
published 2005 · IEEE Transactions on Neural Networks · 78 citations
with Mao Ye, Jisong Lv, Kok Kiong Tan
A Columnar Competitive Model for Solving Combinatorial Optimization Problems
published 2004 · IEEE Transactions on Neural Networks · 42 citations
with Huajin Tang, Kay Chen Tan
Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix
published 2004 · Computers & Mathematics with Applications · 64 citations
with Yan Fu, Hua Jin Tang
Global exponential stability of discrete-time neural networks for constrained quadratic optimization
published 2003 · Neurocomputing · 41 citations
with Kay Chen Tan, Huajin Tang
A neurofuzzy network structure for nonlinear system modeling
published 1999 · IFAC Proceedings Volumes · 1 citations
with Jiau Chu, Gao Jinchang
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.
Built from arXiv and OpenAlex. Supported by UKRI grant APP47921 (Martin Weidner, UCL · Francis J. DiTraglia, Oxford).