← Authors

Xiaoyun Li

21 papers · 2019–2024 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (41) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (21) πŸ’Ž Century Club (21) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (87) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (6)

Conferences

NIPS (7) ICML (4) AAAI (3) ICLR (3) ACML (1) AISTATS (1) IJCAI (1) UAI (1)

Top co-authors

Ping Li (21) Chenglin Fan (4) Belhal Karimi (3) Tan Yu (1) Huang Fang (1) Cun-hui Zhang (1) Xinmeng Huang (1) Xueyan Niu (1) Chenxi Wu (1) Jun-Kun Wang (1)

Research topics

Architectures (1) Core AI (1)

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