Ruqi Zhang

Ruqi Zhang

Cornell University

H-index: 7

North America-United States

About Ruqi Zhang

Ruqi Zhang, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Machine Learning, Statistics.

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

Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World

Balance is essence: Accelerating sparse training via adaptive gradient correction

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

Training Bayesian Neural Networks with Sparse Subspace Variational Inference

Discs: A benchmark for discrete sampling

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

DP-Fast MH: Private, fast, and accurate Metropolis-Hastings for large-scale Bayesian inference

Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation

Ruqi Zhang Information

University

Position

PhD student

Citations(all)

362

Citations(since 2020)

358

Cited By

68

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Ruqi Zhang Skills & Research Interests

Machine Learning

Statistics

Top articles of Ruqi Zhang

Title

Journal

Author(s)

Publication Date

Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World

arXiv preprint arXiv:2403.20047

Bowen Lei

Dongkuan Xu

Ruqi Zhang

Bani Mallick

2024/3/29

Balance is essence: Accelerating sparse training via adaptive gradient correction

Bowen Lei

Dongkuan Xu

Ruqi Zhang

Shuren He

Bani Mallick

2024/1/8

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

arXiv preprint arXiv:2402.17699

Patrick Pynadath

Riddhiman Bhattacharya

Arun Hariharan

Ruqi Zhang

2024/2/27

Training Bayesian Neural Networks with Sparse Subspace Variational Inference

arXiv preprint arXiv:2402.11025

Junbo Li

Zichen Miao

Qiang Qiu

Ruqi Zhang

2024/2/16

Discs: A benchmark for discrete sampling

Advances in Neural Information Processing Systems

Katayoon Goshvadi

Haoran Sun

Xingchao Liu

Azade Nova

Ruqi Zhang

...

2024/2/13

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Theodore Papamarkou

Maria Skoularidou

Konstantina Palla

Laurence Aitchison

Julyan Arbel

...

2024/2

DP-Fast MH: Private, fast, and accurate Metropolis-Hastings for large-scale Bayesian inference

Wanrong Zhang

Ruqi Zhang

2023/7/3

Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation

Yue Xiang

Dongyao Zhu

Bowen Lei

Dongkuan Xu

Ruqi Zhang

2023/4/11

GAD-EBM: Graph Anomaly Detection using Energy-Based Models

Amit Roy

Juan Shu

Olivier Elshocht

Jeroen Smeets

Ruqi Zhang

...

2023/12/21

Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo

arXiv preprint arXiv:2310.16320

Ziyi Wang

Yujie Chen

Qifan Song

Ruqi Zhang

2023/10/25

Long-tailed Classification from a Bayesian-decision-theory Perspective

arXiv preprint arXiv:2303.06075

Bolian Li

Ruqi Zhang

2023/3/10

Entropy-MCMC: Sampling from Flat Basins with Ease

arXiv preprint arXiv:2310.05401

Bolian Li

Ruqi Zhang

2023/10/9

Calibrating the Rigged Lottery: Making All Tickets Reliable

arXiv preprint arXiv:2302.09369

Bowen Lei

Ruqi Zhang

Dongkuan Xu

Bani Mallick

2023/2/18

Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

Tunazzina Islam

Ruqi Zhang

Dan Goldwasser

2023/8/8

Rethinking data distillation: Do not overlook calibration

Dongyao Zhu

Bowen Lei

Jie Zhang

Yanbo Fang

Yiqun Xie

...

2023

On Equivalences between Weight and Function-Space Langevin Dynamics

Ziyu Wang

Yuhao Zhou

Ruqi Zhang

Jun Zhu

2022/12/6

Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent

Advances in Neural Information Processing Systems

Ruqi Zhang

Qiang Liu

Xin Tong

2022/12/6

Low-Precision Stochastic Gradient Langevin Dynamics

Ruqi Zhang

Andrew Gordon Wilson

Christopher De Sa

2022/6/28

A Langevin-like Sampler for Discrete Distributions

Ruqi Zhang

Xingchao Liu

Qiang Liu

2022/6/20

Meta-Learning Divergences for Variational Inference

Ruqi Zhang

Yingzhen Li

Christopher De Sa

Sam Devlin

Cheng Zhang

2021/3/18

See List of Professors in Ruqi Zhang University(Cornell University)

Co-Authors

H-index: 51
Andrew Gordon Wilson

Andrew Gordon Wilson

New York University

H-index: 32
Christopher De Sa

Christopher De Sa

Cornell University

H-index: 19
Yingzhen Li

Yingzhen Li

Imperial College London

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