Shanghang Zhang

Shanghang Zhang

University of California, Berkeley

H-index: 33

North America-United States

About Shanghang Zhang

Shanghang Zhang, With an exceptional h-index of 33 and a recent h-index of 32 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Machine Learning.

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

A Dataset and Benchmark for Copyright Protection from Text-to-Image Diffusion Models

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning

PiGW: A Plug-in Generative Watermarking Framework

Pad: A dataset and benchmark for pose-agnostic anomaly detection

SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera

EfficientBioAI: making bioimaging AI models efficient in energy and latency

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Shanghang Zhang Information

University

Position

EECS

Citations(all)

7643

Citations(since 2020)

7525

Cited By

1051

hIndex(all)

33

hIndex(since 2020)

32

i10Index(all)

54

i10Index(since 2020)

53

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Shanghang Zhang Skills & Research Interests

Machine Learning

Top articles of Shanghang Zhang

Title

Journal

Author(s)

Publication Date

A Dataset and Benchmark for Copyright Protection from Text-to-Image Diffusion Models

arXiv preprint arXiv:2403.12052

Rui Ma

Qiang Zhou

Bangjun Xiao

Yizhu Jin

Daquan Zhou

...

2024/1/4

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments

arXiv preprint arXiv:2402.19007

Ji Ma

Hongming Dai

Yao Mu

Pengying Wu

Hao Wang

...

2024/2/29

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning

arXiv preprint arXiv:2404.08985

Yijiang Liu

Rongyu Zhang

Huanrui Yang

Kurt Keutzer

Yuan Du

...

2024/4/13

PiGW: A Plug-in Generative Watermarking Framework

arXiv preprint arXiv:2403.12053

Rui Ma

Mengxi Guo

Li Yuming

Hengyuan Zhang

Cong Ma

...

2024/1/4

Pad: A dataset and benchmark for pose-agnostic anomaly detection

Advances in Neural Information Processing Systems

Qiang Zhou

Weize Li

Lihan Jiang

Guoliang Wang

Guyue Zhou

...

2024/2/13

SpikeNVS: Enhancing Novel View Synthesis from Blurry Images via Spike Camera

arXiv preprint arXiv:2404.06710

Gaole Dai

Zhenyu Wang

Qinwen Xu

Wen Cheng

Ming Lu

...

2024/4/10

EfficientBioAI: making bioimaging AI models efficient in energy and latency

Nature Methods

Yu Zhou

Jiajun Cao

Justin Sonneck

Sweta Banerjee

Stefanie Dörr

...

2024/1/24

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Proceedings of the AAAI Conference on Artificial Intelligence

Senqiao Yang

Jiarui Wu

Jiaming Liu

Xiaoqi Li

Qizhe Zhang

...

2024/3/24

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness

arXiv preprint arXiv:2401.07853

Rongyu Zhang

Zefan Cai

Huanrui Yang

Zidong Liu

Denis Gudovskiy

...

2024/1/15

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation

Proceedings of the AAAI Conference on Artificial Intelligence

Rongyu Zhang

Yulin Luo

Jiaming Liu

Huanrui Yang

Zhen Dong

...

2024/3/24

VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model

arXiv preprint arXiv:2401.02695

Pengying Wu

Yao Mu

Bingxian Wu

Yi Hou

Ji Ma

...

2024/1/5

FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection

Proceedings of the AAAI Conference on Artificial Intelligence

Dongmei Zhang

Chang Li

Renrui Zhang

Shenghao Xie

Wei Xue

...

2024/3/24

DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images

Mingjie Pan

Yulu Gan

Fangxu Zhou

Jiaming Liu

Ying Zhang

...

2023/10/1

Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training

arXiv preprint arXiv:2312.02923

Qizhe Zhang

Bocheng Zou

Ruichuan An

Jiaming Liu

Shanghang Zhang

2023/12/5

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation

arXiv preprint arXiv:2312.12480

Jiaming Liu

Ran Xu

Senqiao Yang

Renrui Zhang

Qizhe Zhang

...

2023/12/19

When Visible Light (Backscatter) Communication Meets Neuromorphic Cameras in V2X

Kenuo Xu

Kexing Zhou

Chengxuan Zhu

Shanghang Zhang

Boxin Shi

...

2023/2/22

Improving generalization of meta-learning with inverted regularization at inner-level

Lianzhe Wang

Shiji Zhou

Shanghang Zhang

Xu Chu

Heng Chang

...

2023

Chain of thought prompt tuning in vision language models

arXiv preprint arXiv:2304.07919

Jiaxin Ge

Hongyin Luo

Siyuan Qian

Yulu Gan

Jie Fu

...

2023/4/16

RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery

Rongyu Zhang

Lixuan Du

Jiaming Liu

Congcong Song

Fangxin Wang

...

2023/6/7

Output Sensitivity-Aware DETR Quantization

Yafeng Huang

Huanrui Yang

Zhen Dong

Denis Gudovskiy

Tomoyuki Okuno

...

2023

See List of Professors in Shanghang Zhang University(University of California, Berkeley)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 128
Alberto Sangiovanni Vincentelli

Alberto Sangiovanni Vincentelli

University of California, Berkeley

H-index: 101
Kurt Keutzer

Kurt Keutzer

University of California, Berkeley

H-index: 89
Jose M. F. Moura

Jose M. F. Moura

Carnegie Mellon University

H-index: 65
Geoff Gordon

Geoff Gordon

Carnegie Mellon University

H-index: 48
Sicheng Zhao

Sicheng Zhao

Columbia University in the City of New York

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