Следене
Peilin Zhong
Заглавие
Позовавания
Позовавания
Година
Deep learning of feature representation with multiple instance learning for medical image analysis
Y Xu, T Mo, Q Feng, P Zhong, M Lai, I Eric, C Chang
2014 IEEE international conference on acoustics, speech and signal …, 2014
4992014
Low rank approximation with entrywise l1-norm error
Z Song, DP Woodruff, P Zhong
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
1572017
Optimal principal component analysis in distributed and streaming models
C Boutsidis, DP Woodruff, P Zhong
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
1542016
Relative error tensor low rank approximation
Z Song, DP Woodruff, P Zhong
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
1342019
Enhancing adversarial defense by k-winners-take-all
C Xiao, P Zhong, C Zheng
arXiv preprint arXiv:1905.10510, 2019
1332019
Parallel graph connectivity in log diameter rounds
A Andoni, Z Song, C Stein, Z Wang, P Zhong
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
1202018
Bourgan: Generative networks with metric embeddings
C Xiao, P Zhong, C Zheng
Advances in neural information processing systems 31, 2018
792018
Parallel approximate undirected shortest paths via low hop emulators
A Andoni, C Stein, P Zhong
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020
742020
Towards a zero-one law for column subset selection
Z Song, D Woodruff, P Zhong
Advances in Neural Information Processing Systems 32, 2019
382019
Subspace embedding and linear regression with orlicz norm
A Andoni, C Lin, Y Sheng, P Zhong, R Zhong
International Conference on Machine Learning, 224-233, 2018
382018
Distributed low rank approximation of implicit functions of a matrix
DP Woodruff, P Zhong
2016 IEEE 32nd International Conference on Data Engineering (ICDE), 847-858, 2016
362016
Polysketchformer: Fast transformers via sketches for polynomial kernels
P Kacham, V Mirrokni, P Zhong
arXiv preprint arXiv:2310.01655, 2023
322023
Efficient symmetric norm regression via linear sketching
Z Song, R Wang, L Yang, H Zhang, P Zhong
Advances in Neural Information Processing Systems 32, 2019
282019
Differentially private continual releases of streaming frequency moment estimations
A Epasto, J Mao, AM Medina, V Mirrokni, S Vassilvitskii, P Zhong
arXiv preprint arXiv:2301.05605, 2023
272023
Log Diameter Rounds Algorithms for -Vertex and -Edge Connectivity
A Andoni, C Stein, P Zhong
arXiv preprint arXiv:1905.00850, 2019
272019
Average Case Column Subset Selection for Entrywise -Norm Loss
Z Song, D Woodruff, P Zhong
Advances in Neural Information Processing Systems 32, 2019
272019
Differentially private graph learning via sensitivity-bounded personalized pagerank
A Epasto, V Mirrokni, B Perozzi, A Tsitsulin, P Zhong
Advances in Neural Information Processing Systems 35, 22617-22627, 2022
232022
Planning with general objective functions: Going beyond total rewards
R Wang, P Zhong, SS Du, RR Salakhutdinov, L Yang
Advances in Neural Information Processing Systems 33, 14486-14497, 2020
232020
Rethinking generative mode coverage: A pointwise guaranteed approach
P Zhong, Y Mo, C Xiao, P Chen, C Zheng
Advances in Neural Information Processing Systems 32, 2019
232019
Almost linear time density level set estimation via dbscan
H Esfandiari, V Mirrokni, P Zhong
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7349-7357, 2021
202021
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