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ORCIDYi Li 0002
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation: Facebook
- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
- not to be confused with: Yi Li 0008
Other persons with the same name
- Yi Li — disambiguation page
- Yi Li 0001
![[0000-0002-2092-4505]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2092-4505")
(aka: Henry Yi Li) — University of Manchester, School of Materials, UK (and 1 more) - Yi Li 0003 — University of Iowa, Department of Mathematics, Iowa City, IA, USA
- Yi Li 0004 — Queen Mary University of London, Computer Vision Lab, UK
- Yi Li 0005 — Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China
- Yi Li 0006 — Beijing University of Posts and Telecommunications, Ministry of Education, Key Laboratory of Universal Wireless Communication, China
- Yi Li 0007 — Syracuse University, Department of Electrical Engineering and Computer Science, NY, USA
- Yi Li 0008 — Nanyang Technological University, Singapore (and 1 more)
- Yi Li 0009 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China
- Yi Li 0010 — Peking University, School of Mathematical Science, LMAM / Department of Informatics, Beijing, China
- Yi Li 0011 — Tianjin Polytechnic University, School of Electronics and Information Engineering, China
- Yi Li 0012 — University of Texas at Austin, Department of Computer Sciences, TX, USA
- Yi Li 0013 — Zhejiang University, Department of Computer Science, Hangzhou, China
- Yi Li 0014 — High School Affiliated to Renmin University of China, Beijing, China (and 1 more)
- Yi Li 0015 — Beijing Powerinfo Co., Ltd., China (and 1 more)
- Yi Li 0016 — National Measurement Institute Australia, Lindfield, NSW, Australia (and 1 more)
- Yi Li 0017 — Harbin Institute of Technology, Institute of Electromagnetic and Electronic Technology, China
- Yi Li 0018 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition / Center for Research on Intelligent Perception and Computing, Beijing, China (and 1 more)
- Yi Li 0019 — University of Michigan, School of Public Health, Department of Biostatistics, MI, USA (and 1 more)
- Yi Li 0020 — Liaoning University of Technology, College of Science, Jinzhou, China (and 1 more)
- Yi Li 0021 — University of California, Irvine, USA
- Yi Li 0022 — University of Hong Kong, Pokfulam, Hong Kong
- Yi Li 0023 — University of South Florida, Florida Center for Cybersecurity, Tampa, FL, USA
- Yi Li 0024 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Yi Li 0025 — Google Brain, Mountain View, CA, USA (and 3 more)
- Yi Li 0026 — University of Jinan, School of Electrical Engineering, China
- Yi Li 0027 — Xi'an University of Science and Technology, College of Humanities and Foreign Language Studies, China
- Yi Li 0028 — Wuhan University, School of Electrical Engineering, China
- Yi Li 0029 — GreyBird Ventures LLC, Concord, USA
- Yi Li 0030 — University of Texas at Tyler, Department of Computer Science, TX, USA (and 1 more)
- Yi Li 0031 — Qingdao University, College of Data Science Software Engineering, China
- Yi Li 0032 — Tsinghua University, Graduate School at Shenzhen, China (and 1 more)
- Yi Li 0033 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, National Key Laboratory of Science and Technology on Multispectral Information Processing, Wuhan, China
- Yi Li 0034 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Yi Li 0035 — Xi'an Jiaotong University, Department of Management Sciences, China (and 1 more)
- Yi Li 0036 — Guangdong University of Technology, School of Automation, Guangzhou, China
- Yi Li 0037 — Hubei University of Technology, Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Wuhan, China
- Yi Li 0038 — University of Washington, Seattle, WA, USA (and 2 more)
- Yi Li 0039 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Yi Li 0040 — Sun Yat-sen University, Guangdong Provincial Key Laboratory of Biomedical Imaging, Zhuhai, China
- Yi Li 0041 — Xi'an Jiaotong University, School of Mathematics and Statistics, Xi'an, China
- Yi Li 0042 — Harbin Institute of Technology, Shenzhen Graduate School, School of Computer Science and Technology, Harbin, China
- Yi Li 0043 — Chinese Academy of Sciences, State Key Laboratory of Computer Architecture, CAS, Beijing, China
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2020 – today
- 2024
[c35]Yi Li, Honghao Lin, David P. Woodruff:
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms. ICLR 2024- [i30]Yi Li, Honghao Lin, David P. Woodruff:
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms. CoRR abs/2408.08494 (2024) - 2023
- [c34]Yi Li, Honghao Lin, David P. Woodruff:
ℓp-Regression in the Arbitrary Partition Model of Communication. COLT 2023: 4902-4928 - [c33]Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff:
Learning the Positions in CountSketch. ICLR 2023 - [c32]Yi Li, Honghao Lin, David P. Woodruff:
The ℓp-Subspace Sketch Problem in Small Dimensions with Applications to Support Vector Machines. SODA 2023: 850-877 - [i29]Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff:
Learning the Positions in CountSketch. CoRR abs/2306.06611 (2023) - [i28]Yi Li, Honghao Lin, David P. Woodruff:
𝓁p-Regression in the Arbitrary Partition Model of Communication. CoRR abs/2307.05117 (2023) - 2022
- [j8]Zhengyang Guo, Yi Li, Shaoyu Pei:
Expected size of random Tukey layers and convex layers. Comput. Geom. 103: 101856 (2022) - [c31]Yi Li, Honghao Lin, David P. Woodruff, Yuheng Zhang:
Streaming Algorithms with Large Approximation Factors. APPROX/RANDOM 2022: 13:1-13:23 - [c30]Cheng Chen, Yi Li, Yiming Sun:
Online Active Regression. ICML 2022: 3320-3335 - [c29]Yi Li, Mingmou Liu:
Lower Bounds for Sparse Oblivious Subspace Embeddings. PODS 2022: 251-260 - [i27]Yi Li, David P. Woodruff:
Tight Bounds for Sketching the Operator Norm, Schatten Norms, and Subspace Embeddings. CoRR abs/2202.09797 (2022) - [i26]Cheng Chen, Yi Li, Yiming Sun:
Online Active Regression. CoRR abs/2207.05945 (2022) - [i25]Yi Li, Honghao Lin, David P. Woodruff, Yuheng Zhang:
Streaming Algorithms with Large Approximation Factors. CoRR abs/2207.08075 (2022) - [i24]Yi Li, Honghao Lin, David P. Woodruff:
The 𝓁p-Subspace Sketch Problem in Small Dimensions with Applications to Support Vector Machines. CoRR abs/2211.07132 (2022) - [i23]Yi Li, Mingmou Liu:
Higher Lower Bounds for Sparse Oblivious Subspace Embeddings. CoRR abs/2212.02913 (2022) - 2021
- [j7]Yi Li, Ruosong Wang, David P. Woodruff:
Tight Bounds for the Subspace Sketch Problem with Applications. SIAM J. Comput. 50(4): 1287-1335 (2021) - [c28]Yi Li, David P. Woodruff:
The Product of Gaussian Matrices Is Close to Gaussian. APPROX-RANDOM 2021: 35:1-35:22 - [c27]Yi Li, Yan Song, Qin Zhang:
Learning to Cluster via Same-Cluster Queries. CIKM 2021: 978-987 - [c26]Yi Li, David P. Woodruff, Taisuke Yasuda:
Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing. COLT 2021: 3111-3195 - [c25]Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff:
Single Pass Entrywise-Transformed Low Rank Approximation. ICML 2021: 4982-4991 - [c24]Zhengyang Guo, Yi Li:
Geometric Cover with Outliers Removal. STACS 2021: 39:1-39:15 - [i22]Yi Li, Honghao Lin, David P. Woodruff:
Learning-Augmented Sketches for Hessians. CoRR abs/2102.12317 (2021) - [i21]Yi Li, David P. Woodruff, Taisuke Yasuda:
Exponentially Improved Dimensionality Reduction for 𝓁1: Subspace Embeddings and Independence Testing. CoRR abs/2104.12946 (2021) - [i20]Yifei Jiang, Yi Li, Yiming Sun, Jiaxin Wang, David P. Woodruff:
Single Pass Entrywise-Transformed Low Rank Approximation. CoRR abs/2107.07889 (2021) - [i19]Yi Li, Yan Song, Qin Zhang:
Learning to Cluster via Same-Cluster Queries. CoRR abs/2108.07383 (2021) - [i18]Yi Li, David P. Woodruff:
The Product of Gaussian Matrices is Close to Gaussian. CoRR abs/2108.09887 (2021) - [i17]Yi Li, Mingmou Liu:
Lower Bounds for Sparse Oblivious Subspace Embeddings. CoRR abs/2112.10987 (2021) - 2020
- [j6]Yi Li, Vasileios Nakos:
Sublinear-Time Algorithms for Compressive Phase Retrieval. IEEE Trans. Inf. Theory 66(11): 7302-7310 (2020) - [c23]Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff:
Streaming Complexity of SVMs. APPROX-RANDOM 2020: 50:1-50:22 - [c22]Yi Li, Vasileios Nakos:
Deterministic Sparse Fourier Transform with an ℓ∞ Guarantee. ICALP 2020: 77:1-77:14 - [c21]Tanqiu Jiang, Yi Li, Honghao Lin, Yisong Ruan, David P. Woodruff:
Learning-Augmented Data Stream Algorithms. ICLR 2020 - [c20]Yi Li, David P. Woodruff:
Input-Sparsity Low Rank Approximation in Schatten Norm. ICML 2020: 6001-6009 - [c19]Yi Li, Ruosong Wang, David P. Woodruff:
Tight Bounds for the Subspace Sketch Problem with Applications. SODA 2020: 1655-1674 - [i16]Zhengyang Guo, Yi Li:
Minimum Enclosing Parallelogram with Outliers. CoRR abs/2003.01900 (2020) - [i15]Yi Li, David P. Woodruff:
Input-Sparsity Low Rank Approximation in Schatten Norm. CoRR abs/2004.12646 (2020) - [i14]Alexandr Andoni, Collin Burns, Yi Li, Sepideh Mahabadi, David P. Woodruff:
Streaming Complexity of SVMs. CoRR abs/2007.03633 (2020) - [i13]Zhengyang Guo, Yi Li, Shaoyu Pei:
The Expected Size of Random Convex Layers and Convex Shells. CoRR abs/2008.02258 (2020)
2010 – 2019
- 2019
- [j5]Yi Li, Huy L. Nguyen, David P. Woodruff:
On Approximating Matrix Norms in Data Streams. SIAM J. Comput. 48(6): 1643-1697 (2019) - [j4]Sudipto Guha, Yi Li, Qin Zhang:
Distributed Partial Clustering. ACM Trans. Parallel Comput. 6(3): 11:1-11:20 (2019) - [c18]Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang:
Testing Matrix Rank, Optimally. SODA 2019: 727-746 - [i12]Yi Li, Vasileios Nakos:
Deterministic Sparse Fourier Transform with an ell_infty Guarantee. CoRR abs/1903.00995 (2019) - [i11]Yi Li, Ruosong Wang, David P. Woodruff:
Tight Bounds for the Subspace Sketch Problem with Applications. CoRR abs/1904.05543 (2019) - 2018
- [c17]Yi Li, Vasileios Nakos:
Deterministic Heavy Hitters with Sublinear Query Time. APPROX-RANDOM 2018: 18:1-18:18 - [c16]Yi Li, Vasileios Nakos, David P. Woodruff:
On Low-Risk Heavy Hitters and Sparse Recovery Schemes. APPROX-RANDOM 2018: 19:1-19:13 - [c15]Vladimir Braverman, Stephen R. Chestnut, Robert Krauthgamer, Yi Li, David P. Woodruff, Lin F. Yang:
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order. ICML 2018: 648-657 - [c14]Yi Li, Vasileios Nakos:
Sublinear- Time Algorithms for Compressive Phase Retrieval. ISIT 2018: 2301-2305 - [i10]Maria-Florina Balcan, Yi Li, David P. Woodruff, Hongyang Zhang:
Testing Matrix Rank, Optimally. CoRR abs/1810.08171 (2018) - 2017
- [j3]Anna C. Gilbert, Yi Li, Ely Porat, Martin J. Strauss:
For-All Sparse Recovery in Near-Optimal Time. ACM Trans. Algorithms 13(3): 32:1-32:26 (2017) - [c13]Yi Li, David P. Woodruff:
Embeddings of Schatten Norms with Applications to Data Streams. ICALP 2017: 60:1-60:14 - [c12]Sudipto Guha, Yi Li, Qin Zhang:
Distributed Partial Clustering. SPAA 2017: 143-152 - [i9]Yi Li, David P. Woodruff:
Embeddings of Schatten Norms with Applications to Data Streams. CoRR abs/1702.05626 (2017) - [i8]Sudipto Guha, Yi Li, Qin Zhang:
Distributed Partial Clustering. CoRR abs/1703.01539 (2017) - [i7]Yi Li, Vasileios Nakos:
Sublinear-Time Algorithms for Compressive Phase Retrieval. CoRR abs/1709.02917 (2017) - [i6]Yi Li, Vasileios Nakos, David P. Woodruff:
On Low-Risk Heavy Hitters and Sparse Recovery Schemes. CoRR abs/1709.02919 (2017) - [i5]Yi Li, Vasileios Nakos:
Deterministic Heavy Hitters with Sublinear Query Time. CoRR abs/1712.01971 (2017) - 2016
- [c11]Yi Li, David P. Woodruff:
Tight Bounds for Sketching the Operator Norm, Schatten Norms, and Subspace Embeddings. APPROX-RANDOM 2016: 39:1-39:11 - [c10]Yuqing Ai, Wei Hu, Yi Li, David P. Woodruff:
New Characterizations in Turnstile Streams with Applications. CCC 2016: 20:1-20:22 - [c9]Yi Li, David P. Woodruff:
On approximating functions of the singular values in a stream. STOC 2016: 726-739 - [i4]Yi Li, David P. Woodruff:
On Approximating Functions of the Singular Values in a Stream. CoRR abs/1604.08679 (2016) - 2015
- [j2]Petros Boufounos, Volkan Cevher, Anna C. Gilbert, Yi Li, Martin J. Strauss:
What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid. Algorithmica 73(2): 261-288 (2015) - 2014
- [c8]Anna C. Gilbert, Yi Li, Ely Porat, Martin J. Strauss:
For-All Sparse Recovery in Near-Optimal Time. ICALP (1) 2014: 538-550 - [c7]Yi Li, Zhengyu Wang, David P. Woodruff:
Improved testing of low rank matrices. KDD 2014: 691-700 - [c6]Yi Li, Huy L. Nguyen, David P. Woodruff:
On Sketching Matrix Norms and the Top Singular Vector. SODA 2014: 1562-1581 - [c5]Yi Li, Huy L. Nguyen, David P. Woodruff:
Turnstile streaming algorithms might as well be linear sketches. STOC 2014: 174-183 - [c4]Yi Li, Xiaoming Sun, Chengu Wang, David P. Woodruff:
On the Communication Complexity of Linear Algebraic Problems in the Message Passing Model. DISC 2014: 499-513 - [i3]Anna C. Gilbert, Yi Li, Ely Porat, Martin J. Strauss:
For-all Sparse Recovery in Near-Optimal Time. CoRR abs/1402.1726 (2014) - [i2]Yi Li, Xiaoming Sun, Chengu Wang, David P. Woodruff:
On The Communication Complexity of Linear Algebraic Problems in the Message Passing Model. CoRR abs/1407.4755 (2014) - 2013
- [b1]Yi Li:
Sublinear Time Algorithms for the Sparse Recovery Problem. University of Michigan, USA, 2013 - [c3]Yi Li, David P. Woodruff:
A Tight Lower Bound for High Frequency Moment Estimation with Small Error. APPROX-RANDOM 2013: 623-638 - 2012
- [j1]Anna C. Gilbert, Yi Li, Ely Porat, Martin J. Strauss:
Approximate Sparse Recovery: Optimizing Time and Measurements. SIAM J. Comput. 41(2): 436-453 (2012) - [c2]Petros Boufounos, Volkan Cevher, Anna C. Gilbert, Yi Li, Martin J. Strauss:
What's the Frequency, Kenneth?: Sublinear Fourier Sampling Off the Grid. APPROX-RANDOM 2012: 61-72 - 2010
- [c1]Anna C. Gilbert, Yi Li, Ely Porat, Martin J. Strauss:
Approximate sparse recovery: optimizing time and measurements. STOC 2010: 475-484
2000 – 2009
- 2009
- [i1]Anna C. Gilbert, Yi Li, Ely Porat, Martin J. Strauss:
Approximate Sparse Recovery: Optimizing Time and Measurements. CoRR abs/0912.0229 (2009)
Coauthor Index
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