Eric Xing

Eric Xing

Carnegie Mellon University

H-index: 114

North America-United States

About Eric Xing

Eric Xing, With an exceptional h-index of 114 and a recent h-index of 87 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, ML Systems, Optimization, Statistics, Network Analysis.

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

Learning to Prompt Segment Anything Models

Judging llm-as-a-judge with mt-bench and chatbot arena

MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Temporally Disentangled Representation Learning under Unknown Nonstationarity

Cappy: Outperforming and boosting large multi-task lms with a small scorer

AttentionPert: Accurately Modeling Multiplexed Genetic Perturbations with Multi-scale Effects

Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding

Eric Xing Information

University

Carnegie Mellon University

Position

President at Mohamed bin Zayed University of AI Professor of Computer Science U

Citations(all)

57613

Citations(since 2020)

33465

Cited By

37934

hIndex(all)

114

hIndex(since 2020)

87

i10Index(all)

435

i10Index(since 2020)

340

Email

University Profile Page

Carnegie Mellon University

Eric Xing Skills & Research Interests

Machine Learning

ML Systems

Optimization

Statistics

Network Analysis

Top articles of Eric Xing

Title

Journal

Author(s)

Publication Date

Learning to Prompt Segment Anything Models

arXiv preprint arXiv:2401.04651

Jiaxing Huang

Kai Jiang

Jingyi Zhang

Han Qiu

Lewei Lu

...

2024/1/9

Judging llm-as-a-judge with mt-bench and chatbot arena

Advances in Neural Information Processing Systems

Lianmin Zheng

Wei-Lin Chiang

Ying Sheng

Siyuan Zhuang

Zhanghao Wu

...

2024/2/13

MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

arXiv preprint arXiv:2402.16840

Omkar Thawakar

Ashmal Vayani

Salman Khan

Hisham Cholakal

Rao M Anwer

...

2024/2/26

Temporally Disentangled Representation Learning under Unknown Nonstationarity

NeurIPS 2023

Xiangchen Song

Weiran Yao

Yewen Fan

Xinshuai Dong

Guangyi Chen

...

2023/10/28

Cappy: Outperforming and boosting large multi-task lms with a small scorer

Advances in Neural Information Processing Systems

Bowen Tan

Yun Zhu

Lijuan Liu

Eric Xing

Zhiting Hu

...

2024/2/13

AttentionPert: Accurately Modeling Multiplexed Genetic Perturbations with Multi-scale Effects

bioRxiv

Ding Bai

Caleb Ellington

Shentong Mo

Le Song

Eric Xing

2024/2/7

Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Advances in Neural Information Processing Systems, Spotlight

Zeyuan Yin*

Eric Xing

Zhiqiang Shen*

2024/2/13

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding

arXiv preprint arXiv:2402.19009

Guangyi Liu

Yu Wang

Zeyu Feng

Qiyu Wu

Liping Tang

...

2024/2/29

Toward Inference-optimal Mixture-of-Expert Large Language Models

arXiv preprint arXiv:2404.02852

Longfei Yun

Yonghao Zhuang

Yao Fu

Eric P Xing

Hao Zhang

2024/4/3

Semantic-aligned matching for enhanced detr convergence and multi-scale feature fusion

International Journal of Computer Vision (IJCV)

Gongjie Zhang

Zhipeng Luo

Jiaxing Huang

Shijian Lu

Eric P Xing

2024

Making scalable meta learning practical

Advances in neural information processing systems

Sang Choe

Sanket Vaibhav Mehta

Hwijeen Ahn

Willie Neiswanger

Pengtao Xie

...

2024/2/13

Efficient Test-Time Adaptation of Vision-Language Models

arXiv preprint arXiv:2403.18293

Adilbek Karmanov

Dayan Guan

Shijian Lu

Abdulmotaleb El Saddik

Eric Xing

2024/3/27

Trustllm: Trustworthiness in large language models

arXiv preprint arXiv:2401.05561

Lichao Sun

Yue Huang

Haoran Wang

Siyuan Wu

Qihui Zhang

...

2024/1/10

Identification of nonlinear latent hierarchical models

Lingjing Kong

Biwei Huang

Feng Xie

Eric Xing

Yuejie Chi

...

2023/12

Counterfactual generation with identifiability guarantees

Advances in Neural Information Processing Systems

Hanqi Yan

Lingjing Kong

Lin Gui

Yuejie Chi

Eric Xing

...

2023/12

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

arXiv preprint arXiv:2402.17840

Zhenting Qi

Hanlin Zhang

Eric Xing

Sham Kakade

Himabindu Lakkaraju

2024/2/27

Defending Against Poisoning Attacks in Federated Learning with Blockchain

IEEE Transactions on Artificial Intelligence

Nanqing Dong

Zhipeng Wang

Jiahao Sun

Michael Kampffmeyer

William Knottenbelt

...

2024/3/18

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

arXiv preprint arXiv:2402.12563

Loka Li

Guangyi Chen

Yusheng Su

Zhenhao Chen

Yixuan Zhang

...

2024/2/19

FedNAR: Federated Optimization with Normalized Annealing Regularization

Advances in Neural Information Processing Systems

Junbo Li

Ang Li

Chong Tian

Qirong Ho

Eric Xing

...

2024/2/13

FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization

arXiv preprint arXiv:2403.06908

Jiahui Zhang

Fangneng Zhan

Muyu Xu

Shijian Lu

Eric Xing

2024/3/11

See List of Professors in Eric Xing University(Carnegie Mellon University)

Eric Xing FAQs

What is Eric Xing's h-index at Carnegie Mellon University?

The h-index of Eric Xing has been 87 since 2020 and 114 in total.

What are Eric Xing's top articles?

The articles with the titles of

Learning to Prompt Segment Anything Models

Judging llm-as-a-judge with mt-bench and chatbot arena

MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Temporally Disentangled Representation Learning under Unknown Nonstationarity

Cappy: Outperforming and boosting large multi-task lms with a small scorer

AttentionPert: Accurately Modeling Multiplexed Genetic Perturbations with Multi-scale Effects

Squeeze, recover and relabel: Dataset condensation at imagenet scale from a new perspective

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding

...

are the top articles of Eric Xing at Carnegie Mellon University.

What are Eric Xing's research interests?

The research interests of Eric Xing are: Machine Learning, ML Systems, Optimization, Statistics, Network Analysis

What is Eric Xing's total number of citations?

Eric Xing has 57,613 citations in total.

What are the co-authors of Eric Xing?

The co-authors of Eric Xing are Michael I. Jordan, Li Fei-Fei, David Blei, Noah A. Smith, Jun Zhu, Edoardo M Airoldi.

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 144
Li Fei-Fei

Li Fei-Fei

Stanford University

H-index: 106
David Blei

David Blei

Columbia University in the City of New York

H-index: 104
Noah A. Smith

Noah A. Smith

University of Washington

H-index: 75
Jun Zhu

Jun Zhu

Tsinghua University

H-index: 51
Edoardo M Airoldi

Edoardo M Airoldi

Harvard University

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