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
499 2014 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
157 2017 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
154 2016 Relative error tensor low rank approximation Z Song, DP Woodruff, P Zhong
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
134 2019 Enhancing adversarial defense by k-winners-take-all C Xiao, P Zhong, C Zheng
arXiv preprint arXiv:1905.10510, 2019
133 2019 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
120 2018 Bourgan: Generative networks with metric embeddings C Xiao, P Zhong, C Zheng
Advances in neural information processing systems 31, 2018
79 2018 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
74 2020 Towards a zero-one law for column subset selection Z Song, D Woodruff, P Zhong
Advances in Neural Information Processing Systems 32, 2019
38 2019 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
38 2018 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
36 2016 Polysketchformer: Fast transformers via sketches for polynomial kernels P Kacham, V Mirrokni, P Zhong
arXiv preprint arXiv:2310.01655, 2023
32 2023 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
28 2019 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
27 2023 Log Diameter Rounds Algorithms for A Andoni, C Stein, P Zhong
arXiv preprint arXiv:1905.00850, 2019
27 2019 Average Case Column Subset Selection for Entrywise Z Song, D Woodruff, P Zhong
Advances in Neural Information Processing Systems 32, 2019
27 2019 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
23 2022 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
23 2020 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
23 2019 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
20 2021 