Jiong Zhang

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	Hepsi	2020 yılından bugüne
Alıntılar	692	656
h-endeksi	9	8
i10-endeksi	9	8

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Katkıda bulunan yazarlar

Hsiang-Fu YuPrincipal Applied Scientist at Amazoncs.utexas.edu üzerinde doğrulanmış e-posta adresine sahip
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at Amazoncs.utexas.edu üzerinde doğrulanmış e-posta adresine sahip
Wei-Cheng ChangResearch Scientist, Googlegoogle.com üzerinde doğrulanmış e-posta adresine sahip
Eli ChienGeorgia Institute of Technologygatech.edu üzerinde doğrulanmış e-posta adresine sahip
Kai ZhongApplied Scientist, Amazonamazon.com üzerinde doğrulanmış e-posta adresine sahip
Qi LeiAssistant Professor of Mathematics and Data Science, New York Universitynyu.edu üzerinde doğrulanmış e-posta adresine sahip
Jyun-Yu JiangSearch@Amazonamazon.com üzerinde doğrulanmış e-posta adresine sahip
Pradeep RavikumarProfessor, School of Computer Science, Carnegie Mellon Universitycs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
Yibo LinAssistant Professor at Peking Universitypku.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Ian En-Hsu YenPhD, Machine Learning Department, Carnegie Mellon Universitycs.cmu.edu üzerinde doğrulanmış e-posta adresine sahip
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue Universitystat.purdue.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Jiong Zhang

Senior Applied Scientist, Amazon

utexas.edu üzerinde doğrulanmış e-posta adresine sahip

machine learning deep learning


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	143	2022
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization J Zhang, Q Lei, IS Dhillon International Conference on Machine Learning, 5806-5814, 2018	140	2018
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	119	2021
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	89	2020
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	71	2021
Learning Long Term Dependencies via Fourier Recurrent Units J Zhang, Y Lin, Z Song, IS Dhillon International Conference on Machine Learning, 5815-5823, 2018	49	2018
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	37	2019
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	14	2016
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	11	2023
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	5	2022
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	5	2019
Uncertainty in Extreme Multi-label Classification JY Jiang, WC Chang, J Zhong, CJ Hsieh, HF Yu SIGIR, 2023	4	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	3	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	1	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	1	2017
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, ... Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024		2024

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