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Jiong Zhang
Jiong Zhang
Applied Scientist, Amazon
Verified email at utexas.edu
Title
Cited by
Cited by
Year
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
J Zhang, Q Lei, IS Dhillon
International Conference on Machine Learning, 5806-5814, 2018
862018
Learning Long Term Dependencies via Fourier Recurrent Units
J Zhang, Y Lin, Z Song, IS Dhillon
International Conference on Machine Learning, 5815-5823, 2018
202018
Pecos: Prediction for enormous and correlated output spaces
HF Yu, K Zhong, J Zhang, WC Chang, IS Dhillon
arXiv preprint arXiv:2010.05878, 2020
142020
Autoassist: A framework to accelerate training of deep neural networks
J Zhang, HF Yu, IS Dhillon
Advances in Neural Information Processing Systems 32, 5998--6008, 2019
122019
A convex atomic-norm approach to multiple sequence alignment and motif discovery
IEH Yen, X Lin, J Zhang, P Ravikumar, I Dhillon
International Conference on Machine Learning, 2272-2280, 2016
112016
Extreme multi-label learning for semantic matching in product search
WC Chang, D Jiang, HF Yu, CH Teo, J Zhang, K Zhong, K Kolluri, Q Hu, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
92021
Fast multi-resolution transformer fine-tuning for extreme multi-label text classification
J Zhang, W Chang, H Yu, I Dhillon
Advances in Neural Information Processing Systems 34, 2021
52021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
E Chien, WC Chang, CJ Hsieh, HF Yu, J Zhang, O Milenkovic, IS Dhillon
arXiv preprint arXiv:2111.00064, 2021
32021
Extreme stochastic variational inference: Distributed inference for large scale mixture models
J Zhang, P Raman, S Ji, HF Yu, SVN Vishwanathan, I Dhillon
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
32019
Efficient deep learning for sequence data
J Zhang
University of Texas at Austin, 2020
2020
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition
J Zhang, IEH Yen, P Ravikumar, IS Dhillon
Artificial Intelligence and Statistics., 1514-1522, 2017
2017
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Articles 1–11