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Yang Zhang
Yang Zhang
MIT-IBM Watson AI Lab
Verified email at ibm.com
Title
Cited by
Cited by
Year
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
4902019
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
3552020
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
3512017
Streaming recommender systems
S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ...
Proceedings of the 26th international conference on world wide web, 381-389, 2017
2452017
Invariant rationalization
S Chang, Y Zhang, M Yu, T Jaakkola
International Conference on Machine Learning, 1448-1458, 2020
2062020
Unsupervised speech decomposition via triple information bottleneck
K Qian, Y Zhang, S Chang, M Hasegawa-Johnson, D Cox
International Conference on Machine Learning, 7836-7846, 2020
1832020
DiffCSE: Difference-based contrastive learning for sentence embeddings
YS Chuang, R Dangovski, H Luo, Y Zhang, S Chang, M Soljačić, SW Li, ...
arXiv preprint arXiv:2204.10298, 2022
1772022
Rethinking cooperative rationalization: Introspective extraction and complement control
M Yu, S Chang, Y Zhang, TS Jaakkola
arXiv preprint arXiv:1910.13294, 2019
1452019
The lottery tickets hypothesis for supervised and self-supervised pre-training in computer vision models
T Chen, J Frankle, S Chang, S Liu, Y Zhang, M Carbin, Z Wang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1262021
Fast wavenet generation algorithm
TL Paine, P Khorrami, S Chang, Y Zhang, P Ramachandran, ...
arXiv preprint arXiv:1611.09482, 2016
1182016
Speech Enhancement Using Bayesian Wavenet.
K Qian, Y Zhang, S Chang, X Yang, D Florêncio, M Hasegawa-Johnson
Interspeech, 2013-2017, 2017
992017
Contentvec: An improved self-supervised speech representation by disentangling speakers
K Qian, Y Zhang, H Gao, J Ni, CI Lai, D Cox, M Hasegawa-Johnson, ...
International Conference on Machine Learning, 18003-18017, 2022
812022
Fast generation for convolutional autoregressive models
P Ramachandran, TL Paine, P Khorrami, M Babaeizadeh, S Chang, ...
arXiv preprint arXiv:1704.06001, 2017
812017
Generating visually aligned sound from videos
P Chen, Y Zhang, M Tan, H Xiao, D Huang, C Gan
IEEE Transactions on Image Processing 29, 8292-8302, 2020
792020
Uncovering the disentanglement capability in text-to-image diffusion models
Q Wu, Y Liu, H Zhao, A Kale, T Bui, T Yu, Z Lin, Y Zhang, S Chang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
652023
A game theoretic approach to class-wise selective rationalization
S Chang, Y Zhang, M Yu, T Jaakkola
Advances in neural information processing systems 32, 2019
622019
Parp: Prune, adjust and re-prune for self-supervised speech recognition
CIJ Lai, Y Zhang, AH Liu, S Chang, YL Liao, YS Chuang, K Qian, ...
Advances in Neural Information Processing Systems 34, 21256-21272, 2021
602021
Deep learning based speech beamforming
K Qian, Y Zhang, S Chang, X Yang, D Florencio, M Hasegawa-Johnson
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
452018
Positive-Unlabeled Learning in Streaming Networks.
S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ...
KDD, 755-764, 2016
422016
Autotamp: Autoregressive task and motion planning with llms as translators and checkers
Y Chen, J Arkin, C Dawson, Y Zhang, N Roy, C Fan
arXiv preprint arXiv:2306.06531, 2023
402023
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