Classroom of the Sea: Problem-Based Learning for the Deaf. - Scott W. Brown; Ivar Babb; Paula R. Johnson; Peter M. Scheifele; Harry Lang; Dongping Zheng; Denise Monte; Mary LaPorta (ICCE, 2002)

Clustering on Sliding Windows in Polylogarithmic Space. - Vladimir Braverman; Harry Lang; Keith D. Levin; Morteza Monemizadeh (FSTTCS, 2015)

A Unified Approach for Clustering Problems on Sliding Windows. - Vladimir Braverman; Harry Lang; Keith D. Levin; Morteza Monemizadeh (CoRR, 2015)

Clustering Problems on Sliding Windows. - Vladimir Braverman; Harry Lang; Keith D. Levin; Morteza Monemizadeh (SODA, 2016)

New Frameworks for Offline and Streaming Coreset Constructions. - Vladimir Braverman; Dan Feldman; Harry Lang (CoRR, 2016)

Accurate Low-Space Approximation of Metric k-Median for Insertion-Only Streams. - Vladimir Braverman; Harry Lang; Keith D. Levin (CALDAM, 2017)

Clustering High Dimensional Dynamic Data Streams. - Vladimir Braverman; Gereon Frahling; Harry Lang; Christian Sohler; Lin F. Yang (ICML, 2017)

Online Facility Location on Semi-Random Streams. - Harry Lang (CoRR, 2017)

Nearly Optimal Distinct Elements and Heavy Hitters on Sliding Windows. - Vladimir Braverman; Elena Grigorescu; Harry Lang; David P. Woodruff; Samson Zhou (APPROX-RANDOM, 2018)

Approximate Convex Hull of Data Streams. - Avrim Blum; Vladimir Braverman; Ananya Kumar; Harry Lang; Lin F. Yang (ICALP, 2018)

Online Facility Location against a t-Bounded Adversary. - Harry Lang (SODA, 2018)

Streaming Coreset Constructions for M-Estimators. - Vladimir Braverman; Dan Feldman; Harry Lang; Daniela Rus (APPROX-RANDOM, 2019)

Improved Algorithms for Time Decay Streams. - Vladimir Braverman; Harry Lang; Enayat Ullah; Samson Zhou (APPROX-RANDOM, 2019)

Deterministic Coresets for Stochastic Matrices with Applications to Scalable Sparse PageRank. - Harry Lang; Cenk Baykal; Najib Abu Samra; Tony Tannous; Dan Feldman; Daniela Rus (TAMC, 2019)

Provable Filter Pruning for Efficient Neural Networks. - Lucas Liebenwein; Cenk Baykal; Harry Lang; Dan Feldman; Daniela Rus (ICLR, 2020)

Sparse Coresets for SVD on Infinite Streams. - Vladimir Braverman; Dan Feldman; Harry Lang; Daniela Rus; Adiel Statman (CoRR, 2020)

Efficient Coreset Constructions via Sensitivity Sampling. - Vladimir Braverman; Dan Feldman; Harry Lang; Adiel Statman; Samson Zhou (ACML, 2021)

Deep Learning meets Projective Clustering. - Alaa Maalouf; Harry Lang; Daniela Rus; Dan Feldman (ICLR, 2021)

Metric k-median clustering in insertion-only streams. - Vladimir Braverman; Harry Lang; Keith D. Levin; Yevgeniy Rudoy (Discret. Appl. Math., 2021)

Clustering using Approximate Nearest Neighbour Oracles. - Enayat Ullah; Harry Lang; Raman Arora; Vladimir Braverman (Trans. Mach. Learn. Res., 2023)

Least-Mean-Squares Coresets for Infinite Streams. - Vladimir Braverman; Dan Feldman; Harry Lang; Daniela Rus; Adiel Statman (IEEE Trans. Knowl. Data Eng., 2023)