Samson Zhou

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Vladimir BravermanVictor E. Cameron Professor of Computer Science, Rice UniversityVerified email at rice.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jeremiah BlockiPurdue UniversityVerified email at purdue.edu
Elena GrigorescuPurdue UniversityVerified email at purdue.edu
Dan FeldmanUniversity of HaifaVerified email at csail.mit.edu
Grigory YaroslavtsevAssistant Professor, George Mason UniversityVerified email at grigory.us
Petros DrineasProfessor, Computer Science Department, Purdue UniversityVerified email at purdue.edu
Adiel StatmanElbit SystemsVerified email at elbitsystems.com
Ben MussayUniversity of HaifaVerified email at campus.haifa.ac.il
Venkata GandikotaSyracuse UniversityVerified email at syr.edu
Dmitrii AvdiukhinIndiana UniversityVerified email at iu.edu
Cameron MuscoAssistant Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
Christopher MuscoAssistant Professor, New York UniversityVerified email at nyu.edu
Erfan Sadeqi AzerSoftware Engineer at Google LLCVerified email at indiana.edu
Margarita OsadchyComputer Science, University of HaifaVerified email at cs.haifa.ac.il
Seunghoon LeePh.D. student, Purdue UniversityVerified email at purdue.edu
Jalaj UpadhyayAssistant Professor, RutgersVerified email at apple.com
Sepideh MahabadiMicrosoft ResearchVerified email at ttic.edu
Morteza MonemizadehAssistant Professor at Eindhoven University of Technology, the NetherlandsVerified email at tue.nl
Funda ErgunProfessor of Computer Science, Indiana UniversityVerified email at indiana.edu

Samson Zhou

UC Berkeley and Rice University

Verified email at alum.mit.edu - Homepage

Theoretical Computer Science Machine Learning Sublinear Algorithms


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Efficient Coreset Constructions via Sensitivity Sampling V Braverman, D Feldman, H Lang, A Statman, S Zhou Asian Conference on Machine Learning, 948-963, 2021	134*	2021
On the Economics of Offline Password Cracking J Blocki, B Harsha, S Zhou IEEE Security and Privacy 2018, 2018	77	2018
Data-independent neural pruning via coresets B Mussay, M Osadchy, V Braverman, S Zhou, D Feldman International Conference on Learning Representations (ICLR) 2020, 2020	52*	2020
Near Optimal Linear Algebra in the Online and Sliding Window Models V Braverman, P Drineas, C Musco, C Musco, J Upadhyay, DP Woodruff, ... Symposium on Foundations of Computer Science (FOCS) 2020, 2020	43	2020
Tight Bounds for Adversarially Robust Streams and Sliding Windows via Difference Estimators DP Woodruff, S Zhou Symposium on Foundations of Computer Science (FOCS) 2021, 2021	36	2021
Nearly Optimal Sparse Group Testing V Gandikota, E Grigorescu, S Jaggi, S Zhou Communication, Control, and Computing (Allerton), 2016 54th Annual Allerton …, 2016	36	2016
On the Depth-Robustness and Cumulative Pebbling Cost of Argon2i J Blocki, S Zhou Theory of Cryptography Conference (TCC) 2017, 445-465, 2017	27	2017
Nearly optimal distinct elements and heavy hitters on sliding windows V Braverman, E Grigorescu, H Lang, DP Woodruff, S Zhou APPROX 2018, 2018	26	2018
Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms Z Liu, S Zhou, O Rottenstreich, V Braverman, J Rexford Symposium on Algorithmic Principles of Computer Systems (APoCS) 2020, 2020	21	2020
Adversarial Robustness of Streaming Algorithms through Importance Sampling V Braverman, A Hassidim, Y Matias, M Schain, S Silwal, S Zhou Advances in Neural Information Processing Systems 34, 2021	19	2021
Data-Independent Memory Hard Functions: New Attacks and Stronger Constructions J Blocki, B Harsha, S Kang, S Lee, L Xing, S Zhou CRYPTO 2019, 2019	18	2019
Adversarially Robust Submodular Maximization under Knapsack Constraints D Avdiukhin, S Mitrović, G Yaroslavtsev, S Zhou Conference on Knowledge Discovery and Data Mining (KDD) 2019, 2019	17	2019
Bandwidth-hard functions: Reductions and lower bounds J Blocki, L Ren, S Zhou Conference on Computer and Communications Security (CCS) 2018, 1820-1836, 2018	17	2018
Non-Adaptive Adaptive Sampling on Turnstile Streams S Mahabadi, I Razenshteyn, DP Woodruff, S Zhou Symposium on Theory of Computing (STOC) 2020, 2020	16	2020
Structural results on matching estimation with applications to streaming M Bury, E Grigorescu, A McGregor, M Monemizadeh, C Schwiegelshohn, ... Algorithmica 81 (1), 367-392, 2019	16	2019
Relaxed locally correctable codes in computationally bounded channels J Blocki, V Gandikota, E Grigorescu, S Zhou ISIT 2019, ICALP 2018 (Brief Announcement), 2018	16	2018
“Bring Your Own Greedy”+ Max: Near-Optimal 1/2-Approximations for Submodular Knapsack G Yaroslavtsev, S Zhou, D Avdiukhin International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	14	2020
Streaming Periodicity with Mismatches F Ergün, E Grigorescu, ES Azer, S Zhou RANDOM 2017, 2017	12	2017
New coresets for projective clustering and applications M Tukan, X Wu, S Zhou, V Braverman, D Feldman International Conference on Artificial Intelligence and Statistics, 5391-5415, 2022	10	2022
Dimensionality reduction for wasserstein barycenter Z Izzo, S Silwal, S Zhou Advances in neural information processing systems 34, 15582-15594, 2021	10	2021

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