Mayank Goswami

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Jie GaoProfessor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
Thatchaphol SaranurakUniversity of MichiganVerified email at umich.edu
Parinya ChalermsookThe University of SheffieldVerified email at sheffield.ac.uk
László KozmaFreie Universität Berlin, Department of Mathematics and Computer ScienceVerified email at cs.uni-saarland.de
Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
David Xianfeng GuProfessor of Computer Science, Affiliate Professor of Applied Mathematics, Stony BrookVerified email at cs.stonybrook.edu
Michael A. BenderStony Brook UniversityVerified email at cs.stonybrook.edu
Rasmus PaghProfessor of computer science, University of CopenhagenVerified email at di.ku.dk
Vamsi Pritham PingaliIndian Institute of ScienceVerified email at iisc.ac.in
Martin Farach-ColtonShustek Professor of Computer Science, New York UniversityVerified email at nyu.edu
Meng-Tsung TsaiAcademia SinicaVerified email at iis.sinica.edu.tw
曾薇 Wei ZengProfessor, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Francesco SilvestriAssociate professor, University of PadovaVerified email at dei.unipd.it
Johan von Tangen SivertsenIT University of CopenhagenVerified email at itu.dk
Kasper Green LarsenProfessor, Computer Science, Aarhus UniversityVerified email at cs.au.dk
Allan GrønlundUniversity of AarhusVerified email at cs.au.dk
Chien-Chun NiYahoo! ResearchVerified email at yahooinc.com
Siming LiEBay; Computer Science Department, Stony Brook UniversityVerified email at cs.stonybrook.edu
peyman afshaniAarhus UniversityVerified email at madalgo.au.dk

Mayank Goswami

Associate Professor, Queens College, City University of New York

Verified email at qc.cuny.edu - Homepage

Algorithms Data Structures Geometry Networks.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning with feature-dependent label noise: A progressive approach Y Zhang, S Zheng, P Wu, M Goswami, C Chen arXiv preprint arXiv:2103.07756, 2021	186	2021
Error-bounded correction of noisy labels S Zheng, P Wu, A Goswami, M Goswami, D Metaxas, C Chen International Conference on Machine Learning, 11447-11457, 2020	156	2020
A topological filter for learning with label noise P Wu, S Zheng, M Goswami, D Metaxas, C Chen Advances in neural information processing systems 33, 21382-21393, 2020	138	2020
Bloom filters, adaptivity, and the dictionary problem MA Bender, M Farach-Colton, M Goswami, R Johnson, S McCauley, ... 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018	64	2018
Topological detection of trojaned neural networks S Zheng, Y Zhang, H Wagner, M Goswami, C Chen Advances in Neural Information Processing Systems 34, 17258-17272, 2021	54	2021
Pattern-avoiding access in binary search trees P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak 2015 IEEE 56th Annual Symposium on Foundations of Computer Science, 410-423, 2015	40	2015
Stability of sgd: Tightness analysis and improved bounds Y Zhang, W Zhang, S Bald, V Pingali, C Chen, M Goswami Uncertainty in artificial intelligence, 2364-2373, 2022	33	2022
Multi-resolution sketches and locality sensitive hashing for fast trajectory processing M Astefanoaei, P Cesaretti, P Katsikouli, M Goswami, R Sarkar Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018	33	2018
Approximate range emptiness in constant time and optimal space M Goswami, A Grønlund, KG Larsen, R Pagh Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2014	29	2014
Distance sensitive bloom filters without false negatives M Goswami, R Pagh, F Silvestri, J Sivertsen Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017	25	2017
Is random walk truly memoryless—Traffic analysis and source location privacy under random walks R Shi, M Goswami, J Gao, X Gu 2013 Proceedings IEEE INFOCOM, 3021-3029, 2013	23	2013
Topology dependent space filling curves for sensor networks and applications X Ban, M Goswami, W Zeng, X Gu, J Gao 2013 Proceedings IEEE INFOCOM, 2166-2174, 2013	22	2013
Greedy is an almost optimal deque P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak Algorithms and Data Structures: 14th International Symposium, WADS 2015 …, 2015	18	2015
Learning to segment from noisy annotations: A spatial correction approach J Yao, Y Zhang, S Zheng, M Goswami, P Prasanna, C Chen arXiv preprint arXiv:2308.02498, 2023	16	2023
The landscape of bounds for binary search trees P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak arXiv preprint arXiv:1603.04892, 2016	16	2016
Self-adjusting binary search trees: What makes them tick? P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak Algorithms-ESA 2015: 23rd Annual European Symposium, Patras, Greece …, 2015	15	2015
Load balanced short path routing in large-scale wireless networks using area-preserving maps M Goswami, CC Ni, X Ban, J Gao, XD Gu, V Pingali Proceedings of the 15th ACM international symposium on Mobile ad hoc …, 2014	12	2014
Exploration of path space using sensor network geometry R Jiang, X Ban, M Goswami, W Zeng, J Gao, X Gu Proceedings of the 10th ACM/IEEE International Conference on Information …, 2011	12	2011
Obtaining approximately optimal and diverse solutions via dispersion J Gao, M Goswami, CS Karthik, MT Tsai, SY Tsai, HT Yang Latin American Symposium on Theoretical Informatics, 222-239, 2022	10	2022
Multi-finger binary search trees P Chalermsook, M Goswami, L Kozma, K Mehlhorn, T Saranurak arXiv preprint arXiv:1809.01759, 2018	10	2018

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