Shiyu Chang
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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
Heterogeneous network embedding via deep architectures
S Chang, W Han, J Tang, GJ Qi, CC Aggarwal, TS Huang
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
Learning locally-adaptive decision functions for person verification
Z Li, S Chang, F Liang, TS Huang, L Cao, JR Smith
Proceedings of the IEEE conference on computer vision and pattern …, 2013
Transgan: Two pure transformers can make one strong gan, and that can scale up
Y Jiang, S Chang, Z Wang
Advances in Neural Information Processing Systems 34, 14745-14758, 2021
R3: Reinforced Ranker-Reader for Open-Domain Question Answering
S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Jointly attentive spatial-temporal pooling networks for video-based person re-identification
S Xu, Y Cheng, K Gu, Y Yang, S Chang, P Zhou
Proceedings of the IEEE international conference on computer vision, 4733-4742, 2017
Autovc: Zero-shot voice style transfer with only autoencoder loss
K Qian, Y Zhang, S Chang, X Yang, M Hasegawa-Johnson
International Conference on Machine Learning, 5210-5219, 2019
Dilated recurrent neural networks
S Chang, Y Zhang, W Han, M Yu, X Guo, W Tan, X Cui, M Witbrock, ...
Advances in neural information processing systems 30, 2017
Studying very low resolution recognition using deep networks
Z Wang, S Chang, Y Yang, D Liu, TS Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Autogan: Neural architecture search for generative adversarial networks
X Gong, S Chang, Y Jiang, Z Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Diverse few-shot text classification with multiple metrics
M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ...
arXiv preprint arXiv:1805.07513, 2018
Robust video super-resolution with learned temporal dynamics
D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, T Huang
Proceedings of the IEEE International Conference on Computer Vision, 2507-2515, 2017
The lottery ticket hypothesis for pre-trained bert networks
T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin
Advances in neural information processing systems 33, 15834-15846, 2020
Image super-resolution via dual-state recurrent networks
W Han, S Chang, D Liu, M Yu, M Witbrock, TS Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
D3: Deep dual-domain based fast restoration of JPEG-compressed images
Z Wang, D Liu, S Chang, Q Ling, Y Yang, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Adversarial robustness: From self-supervised pre-training to fine-tuning
T Chen, S Liu, S Chang, Y Cheng, L Amini, Z Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
One-shot relational learning for knowledge graphs
W Xiong, M Yu, S Chang, X Guo, WY Wang
arXiv preprint arXiv:1808.09040, 2018
Evidence aggregation for answer re-ranking in open-domain question answering
S Wang, M Yu, J Jiang, W Zhang, X Guo, S Chang, Z Wang, T Klinger, ...
arXiv preprint arXiv:1711.05116, 2017
Negative link prediction in social media
J Tang, S Chang, C Aggarwal, H Liu
Proceedings of the eighth ACM international conference on web search and …, 2015
Few-shot text classification with distributional signatures
Y Bao, M Wu, S Chang, R Barzilay
arXiv preprint arXiv:1908.06039, 2019
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