Cihang Xie

Cihang Xie

University of California, Santa Cruz

H-index: 25

North America-United States

About Cihang Xie

Cihang Xie, With an exceptional h-index of 25 and a recent h-index of 25 (since 2020), a distinguished researcher at University of California, Santa Cruz, specializes in the field of Computer Vision, Machine Learning.

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

Revisiting Adversarial Training at Scale

On the Adversarial Robustness of Camera-based 3D Object Detection

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Benchmarking robustness in neural radiance fields

Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

Unleashing the power of visual prompting at the pixel level

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability

Rejuvenating image-GPT as Strong Visual Representation Learners

Cihang Xie Information

University

Position

Assistant Professor

Citations(all)

8254

Citations(since 2020)

7796

Cited By

2639

hIndex(all)

25

hIndex(since 2020)

25

i10Index(all)

32

i10Index(since 2020)

32

Email

University Profile Page

University of California, Santa Cruz

Google Scholar

View Google Scholar Profile

Cihang Xie Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Cihang Xie

Title

Journal

Author(s)

Publication Date

Revisiting Adversarial Training at Scale

Zeyu Wang

Xianhang Li

Hongru Zhu

Cihang Xie

2024

On the Adversarial Robustness of Camera-based 3D Object Detection

Transactions on Machine Learning Research (TMLR)

Shaoyuan Xie

Zichao Li

Zeyu Wang

Cihang Xie

2024

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

arXiv preprint arXiv:2404.09990

Mude Hui

Siwei Yang

Bingchen Zhao

Yichun Shi

Heng Wang

...

2024/4/15

Benchmarking robustness in neural radiance fields

arXiv preprint arXiv:2301.04075

Chen Wang

Angtian Wang

Junbo Li

Alan Yuille

Cihang Xie

2023/1/10

Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning

arXiv preprint arXiv:2312.11420

Bingchen Zhao

Haoqin Tu

Chen Wei

Jieru Mei

Cihang Xie

2023/12/18

Unleashing the power of visual prompting at the pixel level

arXiv preprint arXiv:2212.10556

Junyang Wu

Xianhang Li

Chen Wei

Huiyu Wang

Alan Yuille

...

2022/12/20

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability

arXiv preprint arXiv:2402.09404

Siwei Yang

Bingchen Zhao

Cihang Xie

2024/2/14

Rejuvenating image-GPT as Strong Visual Representation Learners

arXiv preprint arXiv:2312.02147

Sucheng Ren

Zeyu Wang

Hongru Zhu

Junfei Xiao

Alan Yuille

...

2023/12/4

Navigation as Attackers Wish? Towards Building Byzantine-Robust Embodied Agents under Federated Learning

Yunchao Zhang

Zonglin Di

Kaiwen Zhou

Cihang Xie

Xin Wang

2024/3

SPFormer: Enhancing Vision Transformer with Superpixel Representation

arXiv preprint arXiv:2401.02931

Jieru Mei

Liang-Chieh Chen

Alan Yuille

Cihang Xie

2024/1/5

MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation

Yipeng Gao

Zeyu Wang

Wei-Shi Zheng

Cihang Xie

Yuyin Zhou

2024

Learning to Bootstrap for Combating Label Noise

Yuyin Zhou

Xianhang Li

Fengze Liu

Xuxi Chen

Lequan Yu

...

2024

Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies

Transactions on Machine Learning Research (TMLR)

Zichao Li

Cihang Xie

Ekin Dogus Cubuk

2024

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning

arXiv preprint arXiv:2310.04412

Peiran Xu

Zeyu Wang

Jieru Mei

Liangqiong Qu

Alan Yuille

...

2023/10/6

SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training

Yuanze Lin

Chen Wei

Huiyu Wang

Alan Yuille

Cihang Xie

2023

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

Yiqing Wang

Zihan Li

Jieru Mei

Zihao Wei

Li Liu

...

2023/10/1

An Inverse Scaling Law for CLIP Training

Xianhang Li

Zeyu Wang

Cihang Xie

2023

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties

arXiv preprint arXiv:2312.13764

Junfei Xiao

Ziqi Zhou

Wenxuan Li

Shiyi Lan

Jieru Mei

...

2023/12/21

Masked Autoencoders Enable Efficient Knowledge Distillers

Yutong Bai

Zeyu Wang

Junfei Xiao

Chen Wei

Huiyu Wang

...

2023

Practical Disruption of Image Translation Deepfake Networks

Proceedings of the AAAI Conference on Artificial Intelligence

Nataniel Ruiz

Sarah Adel Bargal

Cihang Xie

Stan Sclaroff

2023/6/26

See List of Professors in Cihang Xie University(University of California, Santa Cruz)

Co-Authors

H-index: 138
Alan Yuille

Alan Yuille

Johns Hopkins University

H-index: 44
Wei Shen (沈为)

Wei Shen (沈为)

Shanghai Jiao Tong University

H-index: 28
Yuyin Zhou

Yuyin Zhou

Stanford University

H-index: 22
Siyuan Qiao

Siyuan Qiao

Johns Hopkins University

H-index: 17
Huiyu Wang

Huiyu Wang

Johns Hopkins University

H-index: 14
Yingwei Li

Yingwei Li

Johns Hopkins University

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