教育背景

2011年9月-2016年7月 哈尔滨工业大学 计算机科学与技术 博士

工作履历

2022年12月-至今 清华大学信息国家研究中心 副研究员

2020年9月-2022年11月 哥伦比亚大学 博士后

2017年9月-2020年9月 加州大学伯克利分校 博士后

学术兼职

IEEE TIP, IEEE TAFFC等国际期刊编委

IEEE TFS, ACM TOMM, IEEE Multimedia等国际期刊客座编委

NeurIPS 2024-2025, ICML 2025, CVPR 2025, ECCV 2024, ACM MM 2023-2025, IJCAI 2025, ICASSP 2023-2024等国际会议领域主席

AAAI 2021-2022, IJCAI 2023-2024, ACII 2019等国际会议资深程序委员

ICASSP 2025/2021, ICME 2019-2020, ICMR 2018-2019, MMM 2020, ICIP 2019等国际会议专题组织者

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常委委员

中国人工智能学会情感智能专委会副秘书长

中国计算机学会多媒体技术专委会执行委员

中国图象图形学学会多媒体专委会委员

VALSE第八届执行领域主席委员会委员EACC

ACM, IEEE, CCF, CSIG高级会员

研究领域

情感计算、多媒体分析、计算机视觉、多模态大模型等

研究概况

发表IEEE/ACM汇刊与CCF/CAAI推荐A类等高水平论文60余篇，授权国内外发明专利10余项，谷歌学术引用10000余次。

奖励与荣誉

（1）北京市自然科学二等奖（序2）（2024）

（2）中国图象图形学学会自然科学二等奖（序2）（2024）

（3）中国电子学会科技进步一等奖（序8）（2024）

（4）AI 2000人工智能全球最具影响力学者提名奖（2024）

（5）全球前2%顶尖科学家（终身&年度）（2024）

（6）ACM SIGMM中国新星奖（2023）

（7）中国图象图形学学会优秀博士学位论文（2018）

（8）清华大学优秀博士后（2018）

（9）哈尔滨工业大学研究生十佳英才（2015）

（10）MMM 2015最佳论文Runner-up奖（2015）

学术成果

（1）代表性期刊论文：

[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.

（2）代表性会议论文：

[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.