Paul Pu Liang

Paul Pu Liang

Carnegie Mellon University

H-index: 32

North America-United States

About Paul Pu Liang

Paul Pu Liang, With an exceptional h-index of 32 and a recent h-index of 32 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of machine learning, artificial intelligence, multimodal interaction, natural language processing.

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

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications

Foundations of Multisensory Artificial Intelligence

Semantically Corrected Amharic Automatic Speech Recognition

Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions

Comparative Knowledge Distillation

Modeling dense multimodal interactions between biological pathways and histology for survival prediction

HIINT: Historical, Intra-and Inter-personal Dynamics Modeling with Cross-person Memory Transformer

Cross-modal attention congruence regularization for vision-language relation alignment

Paul Pu Liang Information

University

Position

Machine Learning Department

Citations(all)

7954

Citations(since 2020)

7805

Cited By

1389

hIndex(all)

32

hIndex(since 2020)

32

i10Index(all)

54

i10Index(since 2020)

53

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Paul Pu Liang Skills & Research Interests

machine learning

artificial intelligence

multimodal interaction

natural language processing

Top articles of Paul Pu Liang

Title

Journal

Author(s)

Publication Date

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications

arXiv preprint arXiv:2306.04539

Paul Pu Liang

Chun Kai Ling

Yun Cheng

Alex Obolenskiy

Yudong Liu

...

2023/6/7

Foundations of Multisensory Artificial Intelligence

arXiv preprint arXiv:2404.18976

Paul Pu Liang

2024/4/29

Semantically Corrected Amharic Automatic Speech Recognition

arXiv preprint arXiv:2404.13362

Samuael Adnew

Paul Pu Liang

2024/4/20

Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions

arXiv preprint arXiv:2404.11023

Leena Mathur

Paul Pu Liang

Louis-Philippe Morency

2024/4/17

Comparative Knowledge Distillation

arXiv preprint arXiv:2311.02253

Alex Wilf

Alex Tianyi Xu

Paul Pu Liang

Alexander Obolenskiy

Daniel Fried

...

2023/11/3

Modeling dense multimodal interactions between biological pathways and histology for survival prediction

arXiv preprint arXiv:2304.06819

Guillaume Jaume

Anurag Vaidya

Richard Chen

Drew Williamson

Paul Liang

...

2023/4/13

HIINT: Historical, Intra-and Inter-personal Dynamics Modeling with Cross-person Memory Transformer

Yubin Kim

Dong Won Lee

Paul Pu Liang

Sharifa Alghowinem

Cynthia Breazeal

...

2023/10/9

Cross-modal attention congruence regularization for vision-language relation alignment

arXiv preprint arXiv:2212.10549

Rohan Pandey

Rulin Shao

Paul Pu Liang

Ruslan Salakhutdinov

Louis-Philippe Morency

2022/12/20

Localized Symbolic Knowledge Distillation for Visual Commonsense Models

Advances in Neural Information Processing Systems

Jae Sung Park

Jack Hessel

Khyathi Chandu

Paul Pu Liang

Ximing Lu

...

2024/2/13

Mixture of Multimodal Interaction Experts

Haofei Yu

Paul Pu Liang

Ruslan Salakhutdinov

Louis-Philippe Morency

2023/12/18

Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides

arXiv preprint arXiv:2208.08080

Dong Won Lee

Chaitanya Ahuja

Paul Pu Liang

Sanika Natu

Louis-Philippe Morency

2022/8/17

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control

arXiv preprint arXiv:2211.05750

Xiang Fan

Yiwei Lyu

Paul Pu Liang

Ruslan Salakhutdinov

Louis-Philippe Morency

2022/11/10

Face-to-face contrastive learning for social intelligence question-answering

Alex Wilf

Martin Q Ma

Paul Pu Liang

Amir Zadeh

Louis-Philippe Morency

2023/1/5

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

Advances in Neural Information Processing Systems

Paul Pu Liang

Zihao Deng

Martin Q Ma

James Y Zou

Louis-Philippe Morency

...

2024/2/13

Foundations and recent trends in multimodal machine learning: Principles, challenges, and open questions

Paul Pu Liang

Amir Zadeh

Louis-Philippe Morency

2022/9/7

Findadaptnet: Find and insert adapters by learned layer importance

Junwei Huang

Karthik Ganesan

Soumi Maiti

Young Min Kim

Xuankai Chang

...

2023/6/4

Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP

Vedant Palit

Rohan Pandey

Aryaman Arora

Paul Pu Liang

2023/10

Multiviz: Towards visualizing and understanding multimodal models

arXiv preprint arXiv:2207.00056

Paul Pu Liang

Yiwei Lyu

Gunjan Chhablani

Nihal Jain

Zihao Deng

...

2022/6/30

Quantifying & modeling feature interactions: An information decomposition framework

arXiv e-prints

Paul Pu Liang

Yun Cheng

Xiang Fan

Chun Kai Ling

Suzanne Nie

...

2023/2

Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities

arXiv preprint arXiv:2311.10227

Alex Wilf

Sihyun Shawn Lee

Paul Pu Liang

Louis-Philippe Morency

2023/11/16

See List of Professors in Paul Pu Liang University(Carnegie Mellon University)

Co-Authors

H-index: 144
Li Fei-Fei

Li Fei-Fei

Stanford University

H-index: 141
David A Brent

David A Brent

University of Pittsburgh

H-index: 115
Ruslan Salakhutdinov

Ruslan Salakhutdinov

Carnegie Mellon University

H-index: 110
Erik Cambria

Erik Cambria

Nanyang Technological University

H-index: 99
Tom Mitchell

Tom Mitchell

Carnegie Mellon University

H-index: 98
Nicholas Allen

Nicholas Allen

University of Oregon

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