2026 Sicheng Zhao: 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	49	5836	5669	776	771	140	10890

Overview

Sicheng Zhao is affiliated with Tsinghua University in China and has contributed extensively to the field of computer science, with a particular focus on computer vision and pattern recognition as well as artificial intelligence. Their research spans multiple subfields, emphasizing computer vision, multimodal machine learning, domain adaptation, and sentiment analysis.

Their primary research areas include:

Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Sentiment Analysis and Opinion Mining
Human Pose and Action Recognition
Emotion and Mood Recognition
Advanced Neural Network Applications

Sicheng Zhao has published within a broad range of prominent venues. The most frequent publication outlets include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Multimedia
ACM Transactions on Multimedia Computing Communications and Applications
IEEE Transactions on Image Processing

Notable recent papers include:

"A Review of Single-Source Deep Unsupervised Visual Domain Adaptation" (2020), IEEE Transactions on Neural Networks and Learning Systems
"Multi-Source Distilling Domain Adaptation" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
"Multimodal Sentiment Analysis With Image-Text Interaction Network" (2022), IEEE Transactions on Multimedia
"Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment" (2020), IEEE Transactions on Image Processing
"Affective Image Content Analysis: Two Decades Review and New Perspectives" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence

Their frequent collaborators include:

Guiguang Ding
Kurt Keutzer
Jufeng Yang
Jungong Han
Xiangyu Yue

Sicheng Zhao's publications are primarily situated within computer science, with key contributions to specialized subfields such as experimental and cognitive psychology and computer networks and communications. Their work addresses both foundational research and applied aspects of image and video processing, multimodal systems, and neural network technologies.

Best Publications

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

1791
Citations
Auto-encoder based dimensionality reduction

Yasi Wang;Hongxun Yao;Sicheng Zhao

1009
Citations
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

Bichen Wu;Xuanyu Zhou;Sicheng Zhao;Xiangyu Yue

698
Citations
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

Bichen Wu;Alvin Wan;Xiangyu Yue;Peter Jin

410
Citations
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data

Xiangyu Yue;Yang Zhang;Sicheng Zhao;Alberto Sangiovanni-Vincentelli

386
Citations
Exploring Principles-of-Art Features For Image Emotion Recognition

Sicheng Zhao;Yue Gao;Xiaolei Jiang;Hongxun Yao

380
Citations
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

Sicheng Zhao;Xiangyu Yue;Shanghang Zhang;Bo Li

327
Citations
SqueezeNext: Hardware-Aware Neural Network Design

Amir Gholami;Kiseok Kwon;Bichen Wu;Zizheng Tai

327
Citations
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies

Sicheng Zhao;Guoli Jia;Jufeng Yang;Guiguang Ding

256
Citations
Multi-source Distilling Domain Adaptation

Sicheng Zhao;Guangzhi Wang;Shanghang Zhang;Yang Gu

197
Citations
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression

Sicheng Zhao;Hongxun Yao;Yue Gao;Rongrong Ji

196
Citations
Predicting Personalized Image Emotion Perceptions in Social Networks

Sicheng Zhao;Hongxun Yao;Yue Gao;Guiguang Ding

164
Citations
Affective Image Content Analysis: Two Decades Review and New Perspectives.

Sicheng Zhao;Xingxu Yao;Jufeng Yang;Guoli Jia

156
Citations
Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment

Leida Li;Hancheng Zhu;Sicheng Zhao;Guiguang Ding

146
Citations
Multi-source Domain Adaptation for Semantic Segmentation

Sicheng Zhao;Bo Li;Xiangyu Yue;Yang Gu

134
Citations
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization

Sendong Zhao;Ting Liu;Sicheng Zhao;Fei Wang

128
Citations
Affective Image Retrieval via Multi-Graph Learning

Sicheng Zhao;Hongxun Yao;You Yang;Yanhao Zhang

127
Citations
Real-Time Multimedia Social Event Detection in Microblog

Sicheng Zhao;Yue Gao;Guiguang Ding;Tat-Seng Chua

121
Citations
PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression

Sicheng Zhao;Zizhou Jia;Hui Chen;Leida Li

119
Citations
Predicting Personalized Emotion Perceptions of Social Images

Sicheng Zhao;Hongxun Yao;Yue Gao;Rongrong Ji

114
Citations
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey.

Sicheng Zhao;Bo Li;Colorado Reed;Pengfei Xu

69
Citations

Frequent Co-Authors

Hongxun Yao Harbin Institute of Technology

Kurt Keutzer University of California, Berkeley

Guiguang Ding Tsinghua University

Jungong Han Aberystwyth University

Yue Gao Tsinghua University

Tat-Seng Chua National University of Singapore

Qingming Huang University of Chinese Academy of Sciences

Björn Schuller Imperial College London

Alberto Sangiovanni-Vincentelli University of California, Berkeley

Rongrong Ji Xiamen University

External Links

Personal website of Sicheng Zhao Google Scholar page

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