Zheng Zhang

Zheng Zhang

University of California, Santa Barbara

H-index: 24

North America-United States

About Zheng Zhang

Zheng Zhang, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of EDA, sustainable AI, tensor computation, uncertainty quantification.

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

LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models

Deepzero: Scaling up zeroth-order optimization for deep model training

PID Control-Based Self-Healing to Improve the Robustness of Large Language Models

Distributionally Robust Circuit Design Optimization under Variation Shifts

DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design

Distributionally robust variational quantum algorithms with shifted noise

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training

Tensorized Optical Multimodal Fusion Network

Zheng Zhang Information

University

Position

Assistant Professor of ECE

Citations(all)

1887

Citations(since 2020)

1272

Cited By

1068

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

49

i10Index(since 2020)

33

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Zheng Zhang Skills & Research Interests

EDA

sustainable AI

tensor computation

uncertainty quantification

Top articles of Zheng Zhang

Title

Journal

Author(s)

Publication Date

LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models

Yifan Yang

Jiajun Zhou

Ngai Wong

Zheng Zhang

2024/2/18

Deepzero: Scaling up zeroth-order optimization for deep model training

Aochuan Chen

Yimeng Zhang

Jinghan Jia

James Diffenderfer

Jiancheng Liu

...

2024/5

PID Control-Based Self-Healing to Improve the Robustness of Large Language Models

Transactions on Machine Learning Research

Zhuotong Chen

Zihu Wang

Yifan Yang

Qianxiao Li

Zheng Zhang

2024/3/31

Distributionally Robust Circuit Design Optimization under Variation Shifts

Yifan Pan

Zichang He

Nanlin Guo

Zheng Zhang

2023/10

DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design

Ziyue Liu

Yixing Li

Jing Hu

Xinling Yu

Shinyu Shiau

...

2023/6

Distributionally robust variational quantum algorithms with shifted noise

arXiv preprint arXiv:2308.14935

Zichang He

Bo Peng

Yuri Alexeev

Zheng Zhang

2023/8/28

Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training

Machine Learning with New Compute Paradigms at NeurIPS 2023

Yequan Zhao

Xian Xiao

Xinling Yu

Ziyue Liu

Zhixiong Chen

...

2023/12/31

Tensorized Optical Multimodal Fusion Network

Yequan Zhao

Xian Xiao

Geza Kurczveil

Raymond G Beausoleil

Zheng Zhang

2023/5

Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Yequan Zhao

Xinling Yu

Zhixiong Chen

Ziyue Liu

Sijia Liu

...

2023/8

PIFON-EPT: MR-based electrical property tomography using physics-informed Fourier networks

IEEE Journal on Multiscale and Multiphysics Computational Techniques

Xinling Yu

José EC Serrallés

Ilias I Giannakopoulos

Ziyue Liu

Luca Daniel

...

2023/12/22

Particle-based online bayesian sampling

arXiv preprint arXiv:2302.14796

Yifan Yang

Chang Liu

Zheng Zhang

2023/2/28

Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding

Zi Yang

Samridhi Choudhary

Siegfried Kunzmann

Zheng Zhang

2023/8

Tensor shape search for efficient compression of tensorized data and neural networks

Applied Soft Computing

Ryan Solgi

Zichang He

William Jiahua Liang

Zheng Zhang

Hugo A Loaiciga

2023/12/1

Fairness In a Non-Stationary Environment From an Optimal Control Perspective

Zhuotong Chen

Qianxiao Li

Zheng Zhang

2023/7/9

Asymptotically Fair Participation in Machine Learning Models: an Optimal Control Perspective

arXiv preprint arXiv:2311.10223

Zhuotong Chen

Qianxiao Li

Zheng Zhang

2023/11/16

A gradient-based approach for online robust deep neural network training with noisy labels

arXiv preprint arXiv:2306.05046

Yifan Yang

Alec Koppel

Zheng Zhang

2023/6/8

Online, Informative MCMC Thinning with Kernelized Stein Discrepancy

arXiv preprint arXiv:2201.07130

Cole Hawkins

Alec Koppel

Zheng Zhang

2022/1/18

A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation

DIDEM KOCHAN

ZHENG ZHANG

XIU YANG

2022/8

Parallel Tensor Network Simulator QTensor

APS March Meeting Abstracts

Danylo Lykov

Angela Chen

Huaxuan Chen

Kristopher Keipert

Zheng Zhang

...

2022

TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing

Ziyue Liu

Xinling Yu

Zheng Zhang

2022/7

See List of Professors in Zheng Zhang University(University of California, Santa Barbara)

Co-Authors

H-index: 43
Youssef Marzouk

Youssef Marzouk

Massachusetts Institute of Technology

H-index: 30
Maffezzoni Paolo

Maffezzoni Paolo

Politecnico di Milano

H-index: 24
Qianxiao Li

Qianxiao Li

National University of Singapore

H-index: 19
Tarek Moselhy

Tarek Moselhy

Massachusetts Institute of Technology

H-index: 19
Tsui-Wei Weng

Tsui-Wei Weng

Massachusetts Institute of Technology

H-index: 16
Noemi Petra

Noemi Petra

University of California, Merced

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