Xiaoyun Li
21 papers · 2019–2024 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Conference Polyglot (8) π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(41)
π
Triple Crown
π
Grand Slam
π€
Dynamic Duo
(21)
π
Century Club
(21)
π
Trend Setter
ποΈ
Keyword Collector
(87)
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
Conferences
NIPS (7)
ICML (4)
AAAI (3)
ICLR (3)
ACML (1)
AISTATS (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
dimensionality reduction
(4)
random projection
(4)
gaussian kernel
(3)
differential privacy
(3)
adaptive gradient method
(2)
cosine similarity
(2)
federated learning
(2)
minwise hashing
(2)
approximate nearest neighbor
(2)
jaccard similarity
(2)
locality sensitive hashing
(2)
vector quantization
(2)
random fourier feature
(2)
convergence analysis
(2)
nearest neighbor search
(2)
approximation error
(2)
neural network optimization
(2)
kernel approximation
(2)
feature selection
(1)
compressed sensing
(1)
Papers
Stochastic Controlled Averaging for Federated Learning with Communication Compression
ICLR 2024
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning
UAI 2023
Improved Convergence of Differential Private SGD with Gradient Clipping
ICLR 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation
ICML 2023
Smooth Flipping Probability for Differential Private Sign Random Projection Methods
NIPS 2023
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
NIPS 2023
LSDS++ : Dual Sampling for Accelerated k-means++
ICML 2023
SignRFF: Sign Random Fourier Features
NIPS 2022
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate
NIPS 2022
C-MinHash: Improving Minwise Hashing with Circulant Permutation
ICML 2022
Learning Cluster Causal Diagrams: An Information-Theoretic Approach
IJCAI 2022
On Distributed Adaptive Optimization with Gradient Compression
ICLR 2022
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
ACML 2021
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
AAAI 2021
Rejection Sampling for Weighted Jaccard Similarity Revisited
AAAI 2021
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements
AISTATS 2021
Quantization Algorithms for Random Fourier Features
ICML 2021
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation
AAAI 2020
Generalization Error Analysis of Quantized Compressive Learning
NIPS 2019
Random Projections with Asymmetric Quantization
NIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling
NIPS 2019