Yan Sun
17 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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(27)
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Conferences
NIPS (6)
ICLR (5)
ICML (5)
OSDI (1)
Top co-authors
Keywords
federated learning
(4)
non-convex optimization
(3)
variable selection
(2)
sharpness aware minimization
(2)
client drift
(2)
uncertainty quantification
(2)
bayesian inference
(1)
deep learning
(1)
representation learning
(1)
model aggregation
(1)
convergence rate
(1)
distributed optimization
(1)
neural network optimization
(1)
markov chain monte carlo
(1)
distributed learning
(1)
generalization bound
(1)
high-dimensional regression
(1)
generalization error
(1)
global optimization
(1)
statistical modeling
(1)
Papers
In-context Time Series Predictor
ICLR 2025
Tigon: A Distributed Database for a CXL Pod
OSDI 2025
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
ICML 2025
Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
ICLR 2025
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
ICLR 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
NIPS 2024
Deep Orthogonal Hypersphere Compression for Anomaly Detection
ICLR 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
ICML 2024
Active Negative Loss Functions for Learning with Noisy Labels
NIPS 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
NIPS 2023
Sparse Deep Learning for Time Series Data: Theory and Applications
NIPS 2023
Improving the Model Consistency of Decentralized Federated Learning
ICML 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
ICML 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
ICLR 2023
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
NIPS 2022
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
NIPS 2021
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach
ICML 2018