2026 Liangliang Cao: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	45	7184	6974	3142	3022	163	8575

Research.com Recognitions

2020 - ACM Senior Member

Overview

Liangliang Cao is affiliated with Google in the United States and has a research portfolio concentrated primarily in the field of Computer Science. Their work spans diverse subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Graphics and Computer-Aided Design, and Computational Mechanics.

The scientist's research topics include:

Speech Recognition and Synthesis
Topic Modeling
Music and Audio Processing
Speech and Audio Processing
Natural Language Processing Techniques
Computer Graphics and Visualization Techniques
3D Shape Modeling and Analysis

Several recent papers illustrate the breadth of Cao's research contributions. These include:

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition, 2022, IEEE Journal of Selected Topics in Signal Processing
Microfluidic-based exosome isolation and highly sensitive aptamer exosome membrane protein detection for lung cancer diagnosis, 2022, Biosensors and Bioelectronics
Ferret: Refer and Ground Anything Anywhere at Any Granularity, 2023, arXiv (Cornell University)
Diffusion Model-Based Image Editing: A Survey, 2025, IEEE Transactions on Pattern Analysis and Machine Intelligence
Product image recognition with guidance learning and noisy supervision, 2020, Computer Vision and Image Understanding

The scientist frequently publishes in venues such as:

arXiv (Cornell University)
IEEE Journal of Selected Topics in Signal Processing
Biosensors and Bioelectronics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding

Notable frequent co-authors include Yu Zhang, Ruoming Pang, Qiujia Li, Wei Han, and David Qiu.

In 2020, Liangliang Cao was recognized as an ACM Senior Member.

Best Publications

Learning from Noisy Labels with Distillation

Yuncheng Li;Jianchao Yang;Yale Song;Liangliang Cao

583
Citations
Large-scale image classification: Fast feature extraction and SVM training

Yuanqing Lin;Fengjun Lv;Shenghuo Zhu;Ming Yang

535
Citations
Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes

Liangliang Cao;Li Fei-Fei

436
Citations
Learning Locally-Adaptive Decision Functions for Person Verification

Zhen Li;Shiyu Chang;Feng Liang;Thomas S. Huang

428
Citations
Geographical topic discovery and comparison

Zhijun Yin;Liangliang Cao;Jiawei Han;Chengxiang Zhai

411
Citations
Cross-dataset action detection

Liangliang Cao;Zicheng Liu;Thomas S. Huang

281
Citations
Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data

Yuncheng Li;Liangliang Cao;Jiang Zhu;Jiebo Luo

278
Citations
Designing Category-Level Attributes for Discriminative Visual Recognition

Felix X. Yu;Liangliang Cao;Rogerio S. Feris;John R. Smith

240
Citations
TGIF: A New Dataset and Benchmark on Animated GIF Description

Yuncheng Li;Yale Song;Liangliang Cao;Joel Tetreault

236
Citations
Action detection in complex scenes with spatial and temporal ambiguities

Yuxiao Hu;Liangliang Cao;Fengjun Lv;Shuicheng Yan

212
Citations
Detecting Sarcasm in Multimodal Social Platforms

Rossano Schifanella;Paloma de Juan;Joel Tetreault;LiangLiang Cao

210
Citations
Gender recognition from body

Liangliang Cao;Mert Dikmen;Yun Fu;Thomas S. Huang

196
Citations
The wisdom of social multimedia: using flickr for prediction and forecast

Xin Jin;Andrew Gallagher;Liangliang Cao;Jiebo Luo

182
Citations
Aworldwide tourism recommendation system based on geotaggedweb photos

Liangliang Cao;Jiebo Luo;Andrew Gallagher;Xin Jin

178
Citations
Automatic Adaptation of Object Detectors to New Domains Using Self-Training

Aruni RoyChowdhury;Prithvijit Chakrabarty;Ashish Singh;SouYoung Jin

174
Citations
Video2GIF: Automatic Generation of Animated GIFs from Video

Michael Gygli;Yale Song;Liangliang Cao

161
Citations
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

Yu Zhang;Daniel S. Park;Wei Han;James Qin

156
Citations
Multiple feature fusion by subspace learning

Yun Fu;Liangliang Cao;Guodong Guo;Thomas S. Huang

153
Citations
Diversified Trajectory Pattern Ranking in Geo-Tagged Social Media

Zhijun Yin;Liangliang Cao;Jiawei Han;Jiebo Luo

146
Citations
Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling

Zhijun Yin;Liangliang Cao;Quanquan Gu;Jiawei Han

126
Citations
Additional Remarks on Designing Category-Level Attributes for Discriminative Visual Recognition

Felix X Yu;Liangliang Cao;Rogerio S Feris;John R Smith

1
Citations

Frequent Co-Authors

Thomas S. Huang University of Illinois at Urbana-Champaign

Jiebo Luo University of Rochester

John R. Smith IBM (United States)

Jiawei Han University of Illinois at Urbana-Champaign

Jianzhuang Liu Shenzhen Institutes of Advanced Technology

Xiaoou Tang Chinese University of Hong Kong

Gang Hua Dolby (United States)

Rogerio Feris IBM (United States)

Chung-Cheng Chiu Google (United States)

Shih-Fu Chang Columbia University

External Links

Personal website of Liangliang Cao Google Scholar page

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