教育背景

2016.7  哈尔滨工业大学 计算机科学 博士学位

Education

2016.7  Harbin Institute of Technology, Computer Science, Ph.D.

工作履历

2022.12至今  清华大学 副研究员

2020.9-2022.11  哥伦比亚大学 博士后

2017.9-2020.9  加州大学伯克利分校 博士后

Research Experience

2022.12-  Tsinghua University，Research Associate Professor

2020.9-2022.11  Columbia University, Postdoc Research Scientist

2017.9-2020.9  University of California Berkeley, Postdoc Research Fellow

学术兼职

ACM TOMM, IEEE Multimedia等国际期刊客座编辑

ACM MM 2023, AAAI 2021-2022, IJCAI 2023, ICASSP 2023, ACII 2019等国际会议领域主席或资深程序委员

ICASSP 2021, ICME 2019-2020, ICMR 2018-2019, MMM 2020等国际会议专题组织者

Nature Communications, IEEE SPM, TPAMI, TAFFC, TIP等国际期刊和NeurIPS, ICML, ICLR, ICCV, CVPR, ECCV, ACM MM, AAAI, IJCAI等国际会议审稿人

Academic Services

Guest Editor: ACM TOMM, IEEE Multimedia, etc.

Area Chair/Senior Program Committee: ACM MM 2023, AAAI 2021-2022, IJCAI 2023, ICASSP 2023, ACII 2019, etc.

Special Session Organizer: ICASSP 2021, ICME 2019-2020, ICMR 2018-2019, MMM 2020, etc.

Reviewer: Nature Communications, IEEE SPM, TPAMI, TAFFC, TIP, NeurIPS, ICML, ICLR, ICCV, CVPR, ECCV, ACM MM, AAAI, IJCAI, etc.

社会兼职

中国图象图形学学会情感计算与理解专委会秘书长

中国人工智能学会智能光学成像专委会委员

ACM, IEEE, CCF, CSIG高级会员

Social Services

Secretary-General: Technical Committee on Affective Computing and Understanding, China Society of Image and Graphics (CSIG)

Member: Technical Committee on Intelligent Optical Imaging, Chinese Association for Artificial Intelligence

Senior Member: ACM, IEEE, CCF, CSIG

研究领域

情感计算，多媒体，迁移学习等

Research Interests

Affective computing, multimedia, transfer learning, etc.

研究概况

发表IEEE/ACM汇刊与CCF推荐A类等高水平论文60余篇，谷歌学术引用7000余次。

Research Summary

More than 60 papers have been published on top-tier journals like IJCV, PIEEE, IEEE SPM, TPAMI and top-tier conferences like NeurIPS, WWW, ICCV, CVPR, ACM MM. My research has been cited more than 7,000 times based on Google Scholar.

Google Scholar: https://scholar.google.com/citations?user=LJiQRJIAAAAJ

Personal Homepage: https://sites.google.com/view/schzhao

奖励与荣誉

2021-2023 AI 2000人工智能全球最具影响力学者提名奖

2021-2022 全球前2%顶尖科学家

2022 国家级青年人才

2018 中国图象图形学学会优秀博士学位论文

2018 清华大学优秀博士后

2015 哈尔滨工业大学研究生十佳英才

2015 MMM 2015最佳论文第二名

Awards

2021-2023 AI 2000 Most Influential Scholars Honorable Mention

2021-2022 Top 2% Scientists Worldwide

2022 National Natural Science Fund for Excellent Young Scientists (Overseas)

2018 Outstanding Doctoral Dissertation Award of China Society of Image and Graphics

2018 Outstanding Postdoc of Tsinghua University

2015 Top 10 Outstanding Graduate Students of Harbin Institute of Technology

2015 MMM 2015 Best Paper Runner-up Award

Selected publications

Journal papers：

[1] 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), 2023.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] Leida Li, Hancheng Zhu, Sicheng Zhao, Guiguang Ding, Allen Tan, Weisi Lin. Personality-assisted Multi-task Learning for Generic and Personalized Image Aesthetics Assessment. IEEE Transactions on Image Processing (TIP) 29: 3898-3910, 2020.

[7] 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.

[8] 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.

[9] 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.

[10] 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.

Conference papers：

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[10] 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.

ACM MM 2023, AAAI 2021-2022, IJCAI 2023, ICASSP 2023, ACII 2019等国际会议领域主席或资深程序委员