Publications (102)
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Zhaoran Wang, Han Liu, Tong Zhang
An Overview on the Estimation of Large Covariance and Precision Matrices
Jianqing Fan, Yuan Liao, Han Liu
QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization
Jianqing Fan, Zheng Tracy Ke, Han Liu +1
Channel Length Scaling of MoS2 MOSFETs
Han Liu, Adam T. Neal, Peide D. Ye
Atomic-Layer-Deposited Al2O3 on Bi2Te3 for Topological Insulator Field-Effect Transistors
Han Liu, Peide D. Ye
How2Sketch: Generating Easy-To-Follow Tutorials for Sketching 3D Objects
James W. Hennessey, Han Liu, Holger Winnemöller +2
Smooth projected density estimation
Heather Battey, Han Liu
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time
Zhaoran Wang, Huanran Lu, Han Liu
ECA: High Dimensional Elliptical Component Analysis in non-Gaussian Distributions
Fang Han, Han Liu
A Direct Estimation of High Dimensional Stationary Vector Autoregressions
Fang Han, Huanran Lu, Han Liu
Sparse Nonparametric Graphical Models
John Lafferty, Han Liu, Larry Wasserman
Magneto-Transport in MoS2: Phase Coherence, Spin Orbit Scattering and the Hall Factor
Adam T. Neal, Han Liu, Jiangjiang Gu +1
Nonparametric Heterogeneity Testing For Massive Data
Junwei Lu, Guang Cheng, Han Liu
Forest Density Estimation
Han Liu, Min Xu, Haijie Gu +3
Low modes regularity criterion for a chemotaxis-Navier-Stokes system
Mimi Dai, Han Liu
Chloride Molecular Doping Technique on 2D Materials: WS2 and MoS2
Lingming Yang, Kausik Majumdar, Han Liu +8
Near-Optimal Stochastic Approximation for Online Principal Component Estimation
Chris Junchi Li, Mengdi Wang, Han Liu +1
Adaptive Inferential Method for Monotone Graph Invariants
Junwei Lu, Matey Neykov, Han Liu
MoS2 Field-effect Transistors with Graphene/Metal Heterocontacts
Yuchen Du, Lingming Yang, Jingyun Zhang +4
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaiqing Zhang, Zhuoran Yang, Han Liu +2
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction
Xingguo Li, Raman Arora, Han Liu +2
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory
Tuo Zhao, Han Liu, Tong Zhang
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
Han Liu, John Lafferty, Larry Wasserman
Combinatorial Inference for Graphical Models
Matey Neykov, Junwei Lu, Han Liu
Phosphorene: A New 2D Material with High Carrier Mobility
Han Liu, Adam T. Neal, Zhen Zhu +2
Switching Mechanism in Single-Layer Molybdenum Disulfide Transistors: an Insight into Current Flow across Schottky Barriers
Han Liu, Mengwei Si, Yexin Deng +6
Distribution-Free Tests of Independence in High Dimensions
Fang Han, Shizhe Chen, Han Liu
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model
Junwei Lu, Mladen Kolar, Han Liu
Optimal Tests of Treatment Effects for the Overall Population and Two Subpopulations in Randomized Trials, using Sparse Linear Programming
Michael Rosenblum, Han Liu, and En-Hsu Yen
Contact Research Strategy for Emerging Molybdenum Disulfide and Other Two-Dimensional Field-effect Transistors
Yuchen Du, Lingming Yang, Han Liu +1
Heterogeneity Adjustment with Applications to Graphical Model Inference
Jianqing Fan, Han Liu, Weichen Wang +1
Homotopy Parametric Simplex Method for Sparse Learning
Haotian Pang, Robert Vanderbei, Han Liu +1
On the $\ell_1-\ell_q$ Regularized Regression
Han Liu, Jian Zhang
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
Fang Han, Han Liu
Challenges of Big Data Analysis
Jianqing Fan, Fang Han, Han Liu
Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning
Le Song, Han Liu, Ankur Parikh +1
Graph Estimation From Multi-attribute Data
Mladen Kolar, Han Liu, Eric P. Xing
The Nonparanormal SKEPTIC
Han Liu, Fang Han, Ming Yuan +2
Transverse Single Spin Asymmetry Measurement with J/Psi in Polarized p+p Collisions at RHIC
Han Liu
MoS2 Dual-Gate MOSFET with Atomic-Layer-Deposited Al2O3 as Top-Gate Dielectric
Han Liu, Peide D. Ye
Compressive Network Analysis
Xiaoye Jiang, Yuan Yao, Han Liu +1
Sparse Additive Models
Pradeep Ravikumar, John Lafferty, Han Liu +1
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression
Yang Ning, Tianqi Zhao, Han Liu
Statistical Study of Deep Sub-Micron Dual-Gated Field-Effect Transistors on Monolayer CVD Molybdenum Disulfide Films
Han Liu, Mengwei Si, Sina Najmaei +5
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference
Zhuoran Yang, Zhaoran Wang, Han Liu +2
Provable Sparse Tensor Decomposition
Will Wei Sun, Junwei Lu, Han Liu +1
Black Phosphorus-Monolayer MoS2 van der Waals Heterojunction P-N Diode
Yexin Deng, Zhe Luo, Nathan J. Conrad +7
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao, Mladen Kolar, Han Liu
Continual Learning in Generative Adversarial Nets
Ari Seff, Alex Beatson, Daniel Suo +1
On Semiparametric Exponential Family Graphical Models
Zhuoran Yang, Yang Ning, Han Liu
Second-Order Methods with Cubic Regularization Under Inexact Information
Saeed Ghadimi, Han Liu, Tong Zhang
Typical dynamics of plane rational maps with equal degrees
Jeffrey Diller, Han Liu, Roland Roeder
Graphical Fermat's Principle and Triangle-Free Graph Estimation
Junwei Lu, Han Liu
Sparse Median Graphs Estimation in a High Dimensional Semiparametric Model
Fang Han, Han Liu, Brian Caffo
Some Two-Step Procedures for Variable Selection in High-Dimensional Linear Regression
Jian Zhang, Xinge Jessie Jeng, Han Liu
High Dimensional Semiparametric Gaussian Copula Graphical Models
Han Liu, Fang Han, Ming Yuan +2
Large Covariance Estimation through Elliptical Factor Models
Jianqing Fan, Han Liu, Weichen Wang
Statistical Limits of Convex Relaxations
Zhaoran Wang, Quanquan Gu, Han Liu
A New Perspective on Robust $M$-Estimation: Finite Sample Theory and Applications to Dependence-Adjusted Multiple Testing
Wen-Xin Zhou, Koushiki Bose, Jianqing Fan +1
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
Xingguo Li, Tuo Zhao, Raman Arora +2
Statistical analysis of latent generalized correlation matrix estimation in transelliptical distribution
Fang Han, Han Liu
Distributed Estimation and Inference with Statistical Guarantees
Heather Battey, Jianqing Fan, Han Liu +2
The Integration of High-k Dielectric on Two-Dimensional Crystals by Atomic Layer Deposition
Han Liu, Kun Xu, Xujie Zhang +1
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model
Ethan X. Fang, Yang Ning, Han Liu
Semiconducting Black Phosphorus: Synthesis, Transport Properties and Electronic Applications
Han Liu, Yuchen Du, Yexin Deng +1
Feedback-Based Tree Search for Reinforcement Learning
Daniel R. Jiang, Emmanuel Ekwedike, Han Liu
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov, Yang Ning, Jun S. Liu +1
Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions
Mengdi Wang, Ethan X. Fang, Han Liu
Temporal and Thermal Stability of Al2O3-passivated Phosphorene MOSFETs
Xi Luo, Yaghoob Rahbarihagh, James C. M. Hwang +3
Joint Estimation of Multiple Graphical Models from High Dimensional Time Series
Huitong Qiu, Fang Han, Han Liu +1
Robust Inference of Risks of Large Portfolios
Jianqing Fan, Fang Han, Han Liu +1
MoS2 Nanoribbon Transistors: Transition from Depletion-mode to Enhancement-mode by Channel Width Trimming
Han Liu, Jiangjiang Gu, Peide Ye
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs
Cong Ma, Junwei Lu, Han Liu
Two-Dimensional TaSe2 Metallic Crystals: Spin-Orbit Scattering Length and Breakdown Current Density
Adam T. Neal, Yuchen Du, Han Liu +1
The Effect of Dielectric Capping on Few-Layer Phosphorene Transistors: Tuning the Schottky Barrier Heights
Han Liu, Adam T. Neal, Mengwei Si +2
Sparse Principal Component Analysis for High Dimensional Vector Autoregressive Models
Zhaoran Wang, Fang Han, Han Liu
A Partially Linear Framework for Massive Heterogeneous Data
Tianqi Zhao, Guang Cheng, Han Liu
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang, Quanquan Gu, Yang Ning +1
An Extreme-Value Approach for Testing the Equality of Large U-Statistic Based Correlation Matrices
Cheng Zhou, Fang Han, Xinsheng Zhang +1
Soft Null Hypotheses: A Case Study of Image Enhancement Detection in Brain Lesions
Haochang Shou, Russell T. Shinohara, Han Liu +2
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models
Yang Ning, Han Liu
Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification
Robert Vanderbei, Han Liu, Lie Wang +1
Molecular Doping of Multilayer MoS2 Field-effect Transistors: Reduction in Sheet and Contact Resistances
Yuchen Du, Han Liu, Adam T. Neal +2
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery
Han Liu, Lie Wang, Tuo Zhao
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error
Jianqing Fan, Han Liu, Qiang Sun +1
Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models
Qiang Sun, Kean Ming Tan, Han Liu +1
Optimal Feature Selection in High-Dimensional Discriminant Analysis
Mladen Kolar, Han Liu
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
Xingguo Li, Junwei Lu, Raman Arora +4
Max-Norm Optimization for Robust Matrix Recovery
Ethan X. Fang, Han Liu, Kim-Chuan Toh +1
TIGER: A Tuning-Insensitive Approach for Optimally Estimating Gaussian Graphical Models
Han Liu, Lie Wang
The Enemy Among Us: Detecting Hate Speech with Threats Based 'Othering' Language Embeddings
Wafa Alorainy, Pete Burnap, Han Liu +1
Graph-Valued Regression
Han Liu, Xi Chen, John Lafferty +1
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
Junwei Lu, Mladen Kolar, Han Liu
Local and Global Inference for High Dimensional Nonparanormal Graphical Models
Quanquan Gu, Yuan Cao, Yang Ning +1
Optimal linear estimation under unknown nonlinear transform
Xinyang Yi, Zhaoran Wang, Constantine Caramanis +1
Device Perspective for Black Phosphorus Field-Effect Transistors: Contact Resistance, Ambipolar and Scaling
Yuchen Du, Han Liu, Yexin Deng +1
Towards High-Performance Two-Dimensional Black Phosphorus Optoelectronic Devices: the Role of Metal Contacts
Yexin Deng, Nathan J. Conrad, Zhe Luo +3
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models
Han Liu, Kathryn Roeder, Larry Wasserman
Sharp Computational-Statistical Phase Transitions via Oracle Computational Model
Zhaoran Wang, Quanquan Gu, Han Liu
High Dimensional Semiparametric Latent Graphical Model for Mixed Data
Jianqing Fan, Han Liu, Yang Ning +1