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Sicheng Zhao
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
18042018
Auto-encoder based dimensionality reduction
Y Wang, H Yao, S Zhao
Neurocomputing 184, 232-242, 2016
9202016
Squeezesegv2: Improved model structure and unsupervised domain adaptation for road-object segmentation from a lidar point cloud
B Wu, X Zhou, S Zhao, X Yue, K Keutzer
2019 International Conference on Robotics and Automation (ICRA), 4376-4382, 2019
6902019
Shift: A zero flop, zero parameter alternative to spatial convolutions
B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
4192018
Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data
X Yue, Y Zhang, S Zhao, A Sangiovanni-Vincentelli, K Keutzer, B Gong
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3872019
Exploring principles-of-art features for image emotion recognition
S Zhao, Y Gao, X Jiang, H Yao, TS Chua, X Sun
Proceedings of the 22nd ACM international conference on Multimedia, 47-56, 2014
3862014
Squeezenext: Hardware-aware neural network design
A Gholami, K Kwon, B Wu, Z Tai, X Yue, P Jin, S Zhao, K Keutzer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
3442018
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
S Zhao, X Yue, S Zhang, B Li, H Zhao, B Wu, R Krishna, JE Gonzalez, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (2), 473-493, 2022
2322022
Multi-source distilling domain adaptation
S Zhao, G Wang, S Zhang, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12975 …, 2020
2092020
Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression
S Zhao, H Yao, Y Gao, R Ji, G Ding
IEEE Transactions on Multimedia 19 (3), 632-645, 2017
2012017
Multi-source domain adaptation for semantic segmentation
S Zhao, B Li, X Yue, Y Gu, P Xu, R Hu, H Chai, K Keutzer
Advances in Neural Information Processing Systems, 7287-7300, 2019
1772019
Predicting personalized image emotion perceptions in social networks
S Zhao, H Yao, Y Gao, G Ding, TS Chua
IEEE Transactions on Affective Computing 9 (4), 526-540, 2018
1652018
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
S Zhao, B Li, C Reed, P Xu, K Keutzer
arXiv preprint arXiv:2002.12169, 2020
1212020
A neural multi-task learning framework to jointly model medical named entity recognition and normalization
S Zhao, T Liu, S Zhao, F Wang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 817-824, 2019
1212019
Affective image retrieval via multi-graph learning
S Zhao, H Yao, Y Yang, Y Zhang
Proceedings of the 22nd ACM international conference on Multimedia, 1025-1028, 2014
1202014
Real-time multimedia social event detection in microblog
S Zhao, Y Gao, G Ding, TS Chua
IEEE Transactions on Cybernetics 48 (11), 3218-3231, 2018
1142018
Predicting personalized emotion perceptions of social images
S Zhao, H Yao, Y Gao, R Ji, W Xie, X Jiang, TS Chua
Proceedings of the 24th ACM international conference on Multimedia, 1385-1394, 2016
1132016
Personality-Assisted Multi-Task Learning for Generic and Personalized Image Aesthetics Assessment
L Li, H Zhu, S Zhao, G Ding, W Lin
IEEE Transactions on Image Processing 29, 3898-3910, 2020
1122020
Event causality extraction based on connectives analysis
S Zhao, T Liu, S Zhao, Y Chen, JY Nie
Neurocomputing 173, 1943-1950, 2016
1042016
An End-to-End visual-audio attention network for emotion recognition in user-generated videos
S Zhao, Y Ma, Y Gu, J Yang, T Xing, P Xu, R Hu, H Chai, K Keutzer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 303-311, 2020
1022020
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