Honghao Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SODA | L | Honghao Lin, Zhao Song, David P. Woodruff, Shenghao Xie, Samson Zhou |
| 2026 | STOC | Adversarial Robustness on Insertion-Deletion Streams. | Elena Gribelyuk, Honghao Lin, David P. Woodruff, Huacheng Yu, Samson Zhou |
| 2025 | STOC | Lifting Linear Sketches: Optimal Bounds and Adversarial Robustness. | Elena Gribelyuk, Honghao Lin, David P. Woodruff, Huacheng Yu, Samson Zhou |
| 2024 | FOCS | A Strong Separation for Adversarially Robust ℓ0 Estimation for Linear Sketches. | Elena Gribelyuk, Honghao Lin, David P. Woodruff, Huacheng Yu, Samson Zhou |
| 2024 | ICLR | Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms. | Yi Li, Honghao Lin, David P. Woodruff |
| 2023 | COLT | ℓ | Yi Li, Honghao Lin, David P. Woodruff |
| 2023 | ICLR | Learning the Positions in CountSketch. | Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff |
| 2023 | SODA | The ℓ | Yi Li, Honghao Lin, David P. Woodruff |
| 2022 | ICLR | Triangle and Four Cycle Counting with Predictions in Graph Streams. | Justin Y. Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David P. Woodruff, Michael Zhang |
| 2022 | ICML | Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra. | Nadiia Chepurko, Kenneth L. Clarkson, Lior Horesh, Honghao Lin, David P. Woodruff |
| 2022 | ICML | Learning Augmented Binary Search Trees. | Honghao Lin, Tian Luo, David P. Woodruff |
| 2021 | ICLR | Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time. | Yu Cheng, Honghao Lin |
| 2020 | ICLR | Learning-Augmented Data Stream Algorithms. | Tanqiu Jiang, Yi Li, Honghao Lin, Yisong Ruan, David P. Woodruff |