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Jiong Zhang
Jiong Zhang
Senior 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
1112018
Fast multi-resolution transformer fine-tuning for extreme multi-label text classification
J Zhang, WC Chang, HF Yu, I Dhillon
Advances in Neural Information Processing Systems 34, 7267-7280, 2021
762021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
E Chien, WC Chang, CJ Hsieh, HF Yu, J Zhang, O Milenkovic, IS Dhillon
International Conference on Learning Representations (ICLR), 2022
702022
Pecos: Prediction for enormous and correlated output spaces
HF Yu, K Zhong, J Zhang, WC Chang, IS Dhillon
Journal of Machine Learning Research 23 (98), 1-32, 2020
642020
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
492021
Learning Long Term Dependencies via Fourier Recurrent Units
J Zhang, Y Lin, Z Song, IS Dhillon
International Conference on Machine Learning, 5815-5823, 2018
392018
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
302019
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
132016
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
52019
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification
JY Jiang, WC Chang, J Zhang, CJ Hsieh, HF Yu
The 45th International ACM SIGIR Conference on Research and Development in …, 2022
42022
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
E Chien, J Zhang, CJ Hsieh, JY Jiang, WC Chang, O Milenkovic, HF Yu
International Conference on Machine Learning, 5616-5630, 2023
22023
Uncertainty in Extreme Multi-label Classification
JY Jiang, WC Chang, J Zhong, CJ Hsieh, HF Yu
SIGIR, 2023
22023
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models
WC Chang, JY Jiang, J Zhang, M Al-Darabsah, CH Teo, CJ Hsieh, HF Yu, ...
arXiv preprint arXiv:2312.02429, 2023
2023
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search
J Zhang, YS Wang, WC Chang, W Li, JY Jiang, CJ Hsieh, HF Yu
Proceedings of the 32nd ACM International Conference on Information and …, 2023
2023
Representer Point Selection for Explaining Regularized High-dimensional Models
CP Tsai, J Zhang, HF Yu, E Chien, CJ Hsieh, PK Ravikumar
International Conference on Machine Learning, 34469-34490, 2023
2023
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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