![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Peilin Zhong
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c32]Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong:
Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree. SODA 2024: 3960-3996 - [c31]Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong:
Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. SODA 2024: 3997-4061 - [c30]Hossein Esfandiari
, Praneeth Kacham
, Vahab Mirrokni
, David P. Woodruff
, Peilin Zhong
:
Optimal Communication Bounds for Classic Functions in the Coordinator Model and Beyond. STOC 2024: 1911-1922 - [i32]Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong:
Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. CoRR abs/2402.14950 (2024) - [i31]Hossein Esfandiari, Praneeth Kacham, Vahab Mirrokni, David P. Woodruff, Peilin Zhong:
Optimal Communication for Classic Functions in the Coordinator Model and Beyond. CoRR abs/2403.20307 (2024) - [i30]Hossein Esfandiari, Vahab Mirrokni, Praneeth Kacham, David P. Woodruff, Peilin Zhong:
High-Dimensional Geometric Streaming for Nearly Low Rank Data. CoRR abs/2406.02910 (2024) - [i29]Vincent Cohen-Addad, Tommaso d'Orsi, Alessandro Epasto, Vahab Mirrokni, Peilin Zhong:
Perturb-and-Project: Differentially Private Similarities and Marginals. CoRR abs/2406.04868 (2024) - [i28]Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong:
Retraining with Predicted Hard Labels Provably Increases Model Accuracy. CoRR abs/2406.11206 (2024) - 2023
- [j1]CJ Carey
, Travis Dick
, Alessandro Epasto
, Adel Javanmard
, Josh Karlin
, Shankar Kumar
, Andres Muñoz Medina
, Vahab Mirrokni
, Gabriel Henrique Nunes
, Sergei Vassilvitskii
, Peilin Zhong
:
Measuring Re-identification Risk. Proc. ACM Manag. Data 1(2): 149:1-149:26 (2023) - [c29]Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong:
Differentially Private Continual Releases of Streaming Frequency Moment Estimations. ITCS 2023: 48:1-48:24 - [c28]Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong:
k-Means Clustering with Distance-Based Privacy. NeurIPS 2023 - [c27]David P. Woodruff, Peilin Zhong, Samson Zhou:
Near-Optimal k-Clustering in the Sliding Window Model. NeurIPS 2023 - [c26]AmirMohsen Ahanchi
, Alexandr Andoni
, MohammadTaghi Hajiaghayi
, Marina Knittel
, Peilin Zhong
:
Massively Parallel Tree Embeddings for High Dimensional Spaces. SPAA 2023: 77-88 - [c25]Hossein Esfandiari
, Vahab Mirrokni
, Peilin Zhong
:
Brief Announcement: Streaming Balanced Clustering. SPAA 2023: 311-314 - [i27]Alessandro Epasto, Jieming Mao, Andres Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong:
Differentially Private Continual Releases of Streaming Frequency Moment Estimations. CoRR abs/2301.05605 (2023) - [i26]CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong:
Measuring Re-identification Risk. CoRR abs/2304.07210 (2023) - [i25]Alessandro Epasto, Tamalika Mukherjee, Peilin Zhong:
Differentially Private Clustering in Data Streams. CoRR abs/2307.07449 (2023) - [i24]Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong:
Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree. CoRR abs/2308.00503 (2023) - [i23]Praneeth Kacham, Vahab Mirrokni, Peilin Zhong:
PolySketchFormer: Fast Transformers via Sketches for Polynomial Kernels. CoRR abs/2310.01655 (2023) - [i22]David P. Woodruff, Peilin Zhong, Samson Zhou:
Near-Optimal k-Clustering in the Sliding Window Model. CoRR abs/2311.00642 (2023) - 2022
- [c24]Vincent Cohen-Addad, Vahab S. Mirrokni, Peilin Zhong:
Massively Parallel k-Means Clustering for Perturbation Resilient Instances. ICML 2022: 4180-4201 - [c23]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Learning. NeurIPS 2022 - [c22]Vincent Cohen-Addad, Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong:
Near-Optimal Private and Scalable $k$-Clustering. NeurIPS 2022 - [c21]Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi, Anton Tsitsulin, Peilin Zhong:
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank. NeurIPS 2022 - [c20]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Massively Parallel and Dynamic Algorithms for Minimum Size Clustering. SODA 2022: 1613-1660 - [c19]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches. SODA 2022: 3005-3042 - [i21]Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi, Anton Tsitsulin, Peilin Zhong:
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank. CoRR abs/2207.06944 (2022) - [i20]CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong:
Stars: Tera-Scale Graph Building for Clustering and Graph Learning. CoRR abs/2212.02635 (2022) - 2021
- [b1]Peilin Zhong:
New Primitives for Tackling Graph Problems and Their Applications in Parallel Computing. Columbia University, USA, 2021 - [c18]Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong:
Almost Linear Time Density Level Set Estimation via DBSCAN. AAAI 2021: 7349-7357 - [i19]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Massively Parallel and Dynamic Algorithms for Minimum Size Clustering. CoRR abs/2106.02685 (2021) - [i18]Alessandro Epasto, Mohammad Mahdian, Vahab S. Mirrokni, Peilin Zhong:
Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches. CoRR abs/2110.15533 (2021) - 2020
- [c17]Chang Xiao, Peilin Zhong, Changxi Zheng:
Enhancing Adversarial Defense by k-Winners-Take-All. ICLR 2020 - [c16]Ruosong Wang, Peilin Zhong, Simon S. Du, Ruslan Salakhutdinov, Lin F. Yang
:
Planning with General Objective Functions: Going Beyond Total Rewards. NeurIPS 2020 - [c15]Sixue Cliff Liu, Robert E. Tarjan, Peilin Zhong:
Connected Components on a PRAM in Log Diameter Time. SPAA 2020: 359-369 - [c14]Alexandr Andoni, Clifford Stein, Peilin Zhong:
Parallel approximate undirected shortest paths via low hop emulators. STOC 2020: 322-335 - [i17]S. Cliff Liu, Robert E. Tarjan, Peilin Zhong:
Connected Components on a PRAM in Log Diameter Time. CoRR abs/2003.00614 (2020) - [i16]Zhao Song, David P. Woodruff, Peilin Zhong:
Average Case Column Subset Selection for Entrywise 𝓁1-Norm Loss. CoRR abs/2004.07986 (2020)
2010 – 2019
- 2019
- [c13]Alexandr Andoni, Clifford Stein, Peilin Zhong:
Log Diameter Rounds Algorithms for 2-Vertex and 2-Edge Connectivity. ICALP 2019: 14:1-14:16 - [c12]Zhao Song, Ruosong Wang, Lin F. Yang
, Hongyang Zhang, Peilin Zhong:
Efficient Symmetric Norm Regression via Linear Sketching. NeurIPS 2019: 828-838 - [c11]Peilin Zhong, Yuchen Mo, Chang Xiao, Pengyu Chen, Changxi Zheng:
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach. NeurIPS 2019: 2086-2097 - [c10]Zhao Song, David P. Woodruff, Peilin Zhong:
Towards a Zero-One Law for Column Subset Selection. NeurIPS 2019: 6120-6131 - [c9]Zhao Song, David P. Woodruff, Peilin Zhong:
Average Case Column Subset Selection for Entrywise 퓁1-Norm Loss. NeurIPS 2019: 10111-10121 - [c8]Zhao Song, David P. Woodruff, Peilin Zhong:
Relative Error Tensor Low Rank Approximation. SODA 2019: 2772-2789 - [i15]Peilin Zhong, Yuchen Mo, Chang Xiao, Pengyu Chen, Changxi Zheng:
Rethinking Generative Coverage: A Pointwise Guaranteed Approach. CoRR abs/1902.04697 (2019) - [i14]Alexandr Andoni, Clifford Stein, Peilin Zhong:
Log Diameter Rounds Algorithms for 2-Vertex and 2-Edge Connectivity. CoRR abs/1905.00850 (2019) - [i13]Chang Xiao, Peilin Zhong, Changxi Zheng:
Resisting Adversarial Attacks by k-Winners-Take-All. CoRR abs/1905.10510 (2019) - [i12]Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong:
Streaming Balanced Clustering. CoRR abs/1910.00788 (2019) - [i11]Zhao Song, Ruosong Wang, Lin F. Yang, Hongyang Zhang, Peilin Zhong:
Efficient Symmetric Norm Regression via Linear Sketching. CoRR abs/1910.01788 (2019) - [i10]Alexandr Andoni, Clifford Stein, Peilin Zhong:
Parallel Approximate Undirected Shortest Paths Via Low Hop Emulators. CoRR abs/1911.01956 (2019) - 2018
- [c7]Alexandr Andoni, Zhao Song, Clifford Stein, Zhengyu Wang, Peilin Zhong:
Parallel Graph Connectivity in Log Diameter Rounds. FOCS 2018: 674-685 - [c6]Alexandr Andoni, Chengyu Lin, Ying Sheng, Peilin Zhong, Ruiqi Zhong:
Subspace Embedding and Linear Regression with Orlicz Norm. ICML 2018: 224-233 - [c5]Chang Xiao, Peilin Zhong, Changxi Zheng:
BourGAN: Generative Networks with Metric Embeddings. NeurIPS 2018: 2275-2286 - [i9]Zhao Song, Lin F. Yang, Peilin Zhong:
Sensitivity Sampling Over Dynamic Geometric Data Streams with Applications to k-Clustering. CoRR abs/1802.00459 (2018) - [i8]Alexandr Andoni, Clifford Stein, Zhao Song, Zhengyu Wang, Peilin Zhong:
Parallel Graph Connectivity in Log Diameter Rounds. CoRR abs/1805.03055 (2018) - [i7]Chang Xiao, Peilin Zhong, Changxi Zheng:
BourGAN: Generative Networks with Metric Embeddings. CoRR abs/1805.07674 (2018) - [i6]Alexandr Andoni, Chengyu Lin, Ying Sheng, Peilin Zhong, Ruiqi Zhong:
Subspace Embedding and Linear Regression with Orlicz Norm. CoRR abs/1806.06430 (2018) - [i5]Zhao Song, David P. Woodruff, Peilin Zhong:
Towards a Zero-One Law for Entrywise Low Rank Approximation. CoRR abs/1811.01442 (2018) - [i4]Zhao Song, David P. Woodruff, Peilin Zhong:
Relative Error Tensor Low Rank Approximation. Electron. Colloquium Comput. Complex. TR18 (2018) - 2017
- [c4]Zhao Song, David P. Woodruff, Peilin Zhong:
Low rank approximation with entrywise l1-norm error. STOC 2017: 688-701 - [i3]Zhao Song, David P. Woodruff, Peilin Zhong:
Relative Error Tensor Low Rank Approximation. CoRR abs/1704.08246 (2017) - 2016
- [c3]David P. Woodruff, Peilin Zhong:
Distributed low rank approximation of implicit functions of a matrix. ICDE 2016: 847-858 - [c2]Christos Boutsidis, David P. Woodruff, Peilin Zhong:
Optimal principal component analysis in distributed and streaming models. STOC 2016: 236-249 - [i2]David P. Woodruff, Peilin Zhong:
Distributed Low Rank Approximation of Implicit Functions of a Matrix. CoRR abs/1601.07721 (2016) - [i1]Zhao Song, David P. Woodruff, Peilin Zhong:
Low Rank Approximation with Entrywise ℓ1-Norm Error. CoRR abs/1611.00898 (2016) - 2014
- [c1]Yan Xu
, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, Eric I-Chao Chang:
Deep learning of feature representation with multiple instance learning for medical image analysis. ICASSP 2014: 1626-1630
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-19 18:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint