I am a research associate professor at Tsinghua University. I worked as a postdoc research scientist at Columbia University from 2020 to 2022, as a postdoc research fellow at University of California Berkeley from 2017 to 2020, and as a postdoc at Tsinghua University from 2016 to 2017. I obtained my Ph.D. degree at Harbin Institute of Technology in 2016. During my Ph.D. study, I visited National University of Singapore as a research intern from 2013 to 2014. My research interests include affective computing, multimedia, and domain adaptation.

赵思成，清华大学副研究员，国家级青年人才，哈尔滨工业大学博士，加州大学伯克利分校和哥伦比亚大学博士后，ACM/IEEE/CCF/CSIG高级会员。研究方向为情感计算、多媒体、机器学习等。发表IEEE/ACM汇刊与CCF推荐A类论文60余篇，谷歌学术引用1万余次，H指数为50。担任中国图象图形学学会CSIG情感计算与理解专委会秘书长，IEEE TIP/IEEE TAFFC编委，IEEE TFS/ACM TOMM等国际期刊的首席客座编辑，NeurIPS/ACM MM/ECCV/AAAI/IJCAI/ICASSP/ACII等国际会议的领域主席或资深程序委员，入选CSIG优秀博士学位论文、人工智能全球最具影响力学者榜单和全球前2%顶尖科学家榜单。[学校主页]

Jounal papers

• Sicheng Zhao, Xiaopeng Hong, Jufeng Yang, Yanyan Zhao, Guiguang Ding. Toward Label-Efficient Emotion and Sentiment Analysis. Proceedings of the IEEE (PIEEE) 111(10): 1159-1197, 2023. 

• James Z. Wang, Sicheng Zhao, Chenyan Wu, Reginald B. Adams, Michelle G. Newman, Tal Shafir, Rachelle Tsachor. Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion. Proceedings of the IEEE (PIEEE) 111(10): 1236-1286, 2023. 

• Sicheng Zhao, Xingxu Yao, Guoli Jia, Jufeng Yang, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer. Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44(10): 6729-6751, 2022. 

• Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer. A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 33(2): 473-493, 2022.

• Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer. MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation. International Journal of Computer Vision (IJCV) 129(8): 2399-2424, 2021.

• Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer. Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies. IEEE Signal Processing Magazine (SPM) 38(6): 59-73, 2021.

• Sicheng Zhao, Amir Gholaminejad, Guiguang Ding, Yue Gao, Jungong Han, Kurt Keutzer. Personalized Emotion Recognition by Personality-aware High-order Learning of Physiological Signals. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 15(1s): 14:1-14:18, 2019.

• Sicheng Zhao, Hongxun Yao, Yue Gao, Guiguang Ding, Tat-Seng Chua. Predicting Personalized Image Emotion Perceptions in Social Networks. IEEE Transactions on Affective Computing (TAFFC) 9(4): 526-540, 2018. [data Please send me your name, affiliation, position, and google ID (and also your supervisor's information if you are a student) for the access.]

• Sicheng Zhao, Yue Gao, Guiguang Ding, Tat-Seng Chua. Real-Time Multimedia Social Event Detection in Microblog. IEEE Transactions on Cybernetics (TCYB) 48(11): 3218-3231, 2018.

• Sicheng Zhao, Hongxun Yao, Yue Gao, Rongrong Ji, Guiguang Ding. Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression. IEEE Transactions on Multimedia (TMM) 19(3): 632-645, 2017. [data]

Conference papers

• Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer. ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI Conference on Artificial Intelligence (AAAI), pp. 3500-3509, 2021.

• Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer. Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. The Web Conference (WWW), pp. 541-552, 2021.

• Xingxu Yao, Sicheng Zhao, Pengfei Xu, Jufeng Yang. Multi-Source Domain Adaptation for Object Detection. IEEE International Conference on Computer Vision (ICCV), pp. 3273-3282, 2021.

• Sicheng Zhao, Guangzhi Wang, Shanghang Zhang, Yang Gu, Yaxian Li, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer. Multi-source Distilling Domain Adaptation. AAAI Conference on Artificial Intelligence (AAAI), pp. 12975-12983, 2020.

• Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer. Multi-Source Domain Adaptation for Semantic Segmentation. Advances in Neural Information Processing Systems (NeurIPS), pp. 7285-7298, 2019.

• Bichen Wu, Xuanyu Zhou, Sicheng Zhao, Xiangyu Yue, Kurt Keutzer. SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud. IEEE International Conference on Robotics and Automation (ICRA), pp. 4376-4382, 2019.

• Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong. Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data. IEEE International Conference on Computer Vision (ICCV) , pp. 2100-2110, 2019.

• Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer. Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9127-9135, 2018.

• Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han. Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion. International Joint Conference on Artificial Intelligence (IJCAI), pp. 4669-4675, 2017. 

• Sicheng Zhao, Yue Gao, Xiaolei Jiang, Hongxun Yao, Tat-Seng Chua, Xiaoshuai Sun. Exploring Principles-of-Art Features for Image Emotion Recognition. ACM International Conference on Multimedia (ACM MM), pp. 47-56, 2014.