Han Liu

Han Liu

Princeton University

H-index: 59

North America-United States

About Han Liu

Han Liu, With an exceptional h-index of 59 and a recent h-index of 45 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Machine Learning, Large Foundation Models for AI, AI for Science and Finance.

His recent articles reflect a diverse array of research interests and contributions to the field:

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods

Nonparametric Modern Hopfield Models

On sparse modern hopfield model

Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models

On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

KGML-xDTD: a knowledge graph–based machine learning framework for drug treatment prediction and mechanism description

Han Liu Information

University

Position

Assistant Professor Operations Research and Financial Engineering

Citations(all)

17537

Citations(since 2020)

10327

Cited By

11695

hIndex(all)

59

hIndex(since 2020)

45

i10Index(all)

173

i10Index(since 2020)

138

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

Han Liu Skills & Research Interests

Machine Learning

Large Foundation Models for AI

AI for Science and Finance

Top articles of Han Liu

Title

Journal

Author(s)

Publication Date

Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

accepted to ICML2024

Jerry Yao-Chieh Hu

Pei-Hsuan Chang

Robin Luo

Hong-Yu Chen

Weijian Li

...

2024/4/4

AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods

arXiv preprint arXiv:2402.11215

Tim Tsz-Kit Lau

Han Liu

Mladen Kolar

2024/2/17

Nonparametric Modern Hopfield Models

arXiv preprint arXiv:2404.03900

Jerry Yao-Chieh Hu

Bo-Yu Chen

Dennis Wu

Feng Ruan

Han Liu

2024/4/5

On sparse modern hopfield model

Advances in Neural Information Processing Systems

Jerry Yao-Chieh Hu

Donglin Yang

Dennis Wu

Chenwei Xu

Bo-Yu Chen

...

2024/2/13

Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models

arXiv preprint arXiv:2404.03827

Dennis Wu

Jerry Yao-Chieh Hu

Teng-Yun Hsiao

Han Liu

2024/4/4

On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis

arXiv e-prints

Jerry Yao-Chieh Hu

Thomas Lin

Zhao Song

Han Liu

2024/2

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

arXiv preprint arXiv:2403.17359

Zhenyu Pan

Haozheng Luo

Manling Li

Han Liu

2024/3/26

KGML-xDTD: a knowledge graph–based machine learning framework for drug treatment prediction and mechanism description

GigaScience

Chunyu Ma

Zhihan Zhou

Han Liu

David Koslicki

2023

Dnabert-2: Efficient foundation model and benchmark for multi-species genome

arXiv preprint arXiv:2306.15006

Zhihan Zhou

Yanrong Ji

Weijian Li

Pratik Dutta

Ramana Davuluri

...

2023/6/26

Hidden Clique Inference in Random Ising Model I: the planted random field Curie-Weiss model

arXiv preprint arXiv:2310.00667

Yihan He

Han Liu

Jianqing Fan

2023/10/1

Ising-traffic: Using ising machine learning to predict traffic congestion under uncertainty

Proceedings of the AAAI Conference on Artificial Intelligence

Zhenyu Pan

Anshujit Sharma

Jerry Yao-Chieh Hu

Zhuo Liu

Ang Li

...

2023/6/26

Hidden Clique Inference in Random Ising Model II: the planted Sherrington-Kirkpatrick model

arXiv preprint arXiv:2309.14192

Yihan He

Han Liu

Jianqing Fan

2023/9/25

Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty

arXiv preprint arXiv:2307.07666

Guanin Liu

Zhihan Zhou

Han Liu

Lifeng Lai

2023/7/15

Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms

arXiv preprint arXiv:2305.15988

Tim Tsz-Kit Lau

Han Liu

Thomas Pock

2023/5/25

Feature programming for multivariate time series prediction

Alex Daniel Reneau

Jerry Yao-Chieh Hu

Ammar Gilani

Han Liu

2023/7/3

Stanhop: Sparse tandem hopfield model for memory-enhanced time series prediction

arXiv preprint arXiv:2312.17346

Dennis Wu

Jerry Yao-Chieh Hu

Weijian Li

Bo-Yu Chen

Han Liu

2023/12/28

Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters

arXiv preprint arXiv:2203.12136

Tim Tsz-Kit Lau

Han Liu

2022/3/23

Optimal covariate balancing conditions in propensity score estimation

Journal of Business & Economic Statistics

Jianqing Fan

Kosuke Imai

Inbeom Lee

Han Liu

Yang Ning

...

2022/12/13

High-temperature structure detection in ferromagnets

Information and Inference: A Journal of the IMA

Yuan Cao

Matey Neykov

Han Liu

2022/3

Predicting drug repurposing candidates and their mechanisms from a biomedical knowledge graph

Chunyu Ma

Zhihan Zhou

Han Liu

David Koslicki

2022/9/29

See List of Professors in Han Liu University(Princeton University)

Co-Authors

H-index: 89
Larry Wasserman

Larry Wasserman

Carnegie Mellon University

H-index: 54
Pradeep Ravikumar

Pradeep Ravikumar

Carnegie Mellon University

H-index: 38
Philippe Rigollet

Philippe Rigollet

Massachusetts Institute of Technology

H-index: 27
Mladen Kolar

Mladen Kolar

University of Chicago

H-index: 11
Xinge Jessie Jeng

Xinge Jessie Jeng

North Carolina State University

H-index: 9
Xiaoye Jiang

Xiaoye Jiang

Stanford University

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