Sotabase

Career

· AI Research Scientist, Meta2021–
· PhD in Computer Science, Columbia University2016–2021
· B.Eng. in Computer Science and Technology, Tsinghua University2012–2016
· Research Scientist, Google Research

Publications (43)

Deep learning of feature representation with multiple instance learning for medical image analysis
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2014
409
cited
Relative Error Tensor Low Rank Approximation
Electron. Colloquium Comput. Complex. · 2017
124
cited
Optimal principal component analysis in distributed and streaming models
Symposium on the Theory of Computing · 2015
121
cited
Enhancing Adversarial Defense by k-Winners-Take-All
International Conference on Learning Representations · 2019
112
cited
Parallel Graph Connectivity in Log Diameter Rounds
IEEE Annual Symposium on Foundations of Computer Science · 2018
104
cited
Low rank approximation with entrywise l1-norm error
Symposium on the Theory of Computing · 2017
103
cited
Low Rank Approximation with Entrywise ℓ1-Norm Error
arXiv.org · 2016
74
cited
BourGAN: Generative Networks with Metric Embeddings
Neural Information Processing Systems · 2018
72
cited
Parallel approximate undirected shortest paths via low hop emulators
Symposium on the Theory of Computing · 2019
60
cited
Subspace Embedding and Linear Regression with Orlicz Norm
International Conference on Machine Learning · 2018
38
cited
Differentially Private Continual Releases of Streaming Frequency Moment Estimations
Information Technology Convergence and Services · 2023
34
cited
Distributed low rank approximation of implicit functions of a matrix
IEEE International Conference on Data Engineering · 2016
33
cited
Towards a Zero-One Law for Column Subset Selection
Neural Information Processing Systems · 2018
33
cited
Average Case Column Subset Selection for Entrywise 𝓁1-Norm Loss
Neural Information Processing Systems · 2020
27
cited
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Neural Information Processing Systems · 2022
25
cited
Efficient Symmetric Norm Regression via Linear Sketching
Neural Information Processing Systems · 2019
25
cited
Low Rank Approximation with Entrywise $\ell_1$-Norm Error
2016
25
cited
Almost Linear Time Density Level Set Estimation via DBSCAN
AAAI Conference on Artificial Intelligence · 2021
20
cited
Log Diameter Rounds Algorithms for 2-Vertex and 2-Edge Connectivity
International Colloquium on Automata, Languages and Programming · 2019
20
cited
Planning with General Objective Functions: Going Beyond Total Rewards
Neural Information Processing Systems · 2020
20
cited
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