Sep.2011—jul.2016  Ph.D. Harbin Institute of Technology, Computer Science

Dec.2022—Present  Research Associate Professor, Tsinghua University

Sep.2020—Nov.2022  Postdoc Research Scientist, Columbia University

Sep.2017—Sep.2020  Postdoc Research Fellow, University of California Berkeley

Associate Editor: IEEE TIP, IEEE TAFFC, etc.

Guest Editor: IEEE TFS, ACM TOMM, IEEE Multimedia, etc.

Area Chair: NeurIPS 2024-2025, ICML 2025, CVPR 2025, ECCV 2024, ACM MM 2023-2025, IJCAI 2025, ICASSP 2023-2024, etc.

Senior Program Committee: AAAI 2021-2022, IJCAI 2023-2024, ACII 2019, etc.

Special Session Organizer: ICASSP 2025/2021, ICME 2019-2020, ICMR 2018-2019, MMM 2020, ICIP 2019, etc.

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

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

Vice Secretary-General: Technical Committee on Emotional Intelligence, Chinese Association for Artificial Intelligence

Member: Technical Committee on Multimedia Technology, China Computer Federation

Technical Committee on Multimedia, China Society of Image and Graphics

Member: VALSE Executive Area Chair Committee

Senior Member: ACM, IEEE, CCF, CSIG

Affective computing, multimedia analysis, computer vision, multimodal large model, etc.

More than 60 papers have been published on top-tier journals like IJCV, PIEEE, IEEE SPM, TPAMI and top-tier conferences like NeurIPS, ICLR, WWW, ICCV, CVPR, ACM MM. My research has been cited more than 10,000 times based on Google Scholar. More than 10 patients have been authorized.

（1）Second Prize of the Beijing Natural Science Award (2024, 2)

（2）Second Prize of the China Society of Image and Graphics Natural Science Award (2024, 2)

（3）First Prize of the Chinese Institute of Electronics Science and Technology Progress Award (2024, 8)

（4）AI 2000 Most Influential Scholar Honorable Mention (2024)

（5）Top 2% Scientists Worldwide (2024, Career & Single year)

（6）ACM SIGMM China Rising Star Award (2023)

（7）NSFC Excellent Young Scholars Overseas (2022)

（8）CSIG Outstanding Doctoral Dissertation Award (2018)

（9）Outstanding Postdoc of Tsinghua University (2018)

（10）Top 10 Outstanding Graduate Students of Harbin Institute of Technology (2015)

（11）MMM 2015 Best Paper Runner-up Award (2015)

Selected Journal Papers:

[1] Sicheng Zhao, Huizai Yao, Chuang Lin, Yue Gao, Guiguang Ding. Multi-Source-Free Domain Adaptive Object Detection. International Journal of Computer Vision (IJCV) 132(12): 5950-5982, 2024.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[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.

Selected Conference Papers:

[1] Leqi Shen, Guoqiang Gong, Tianxiang Hao, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Jungong Han, Guiguang Ding. DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[2] Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding. TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. International Conference on Learning Representations (ICLR), 2025.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[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.

Full paper list：https://scholar.google.com/citations?user=LJiQRJIAAAAJ