Yan Sun
19 papers · 2018–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (39) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
👑
Triple Crown
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(108)
Venues
Top co-authors
Research topics
Machine Learning
(18)
Core Methods
(9)
Optimization & Theory · Machine Learning
(9)
Deep Learning
(8)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(5)
Application Areas
(4)
Architectures
(4)
Learning Paradigms · Artificial Intelligence
(4)
Learning Paradigms · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Data Science & Analytics
(2)
Bayesian & Probabilistic
(2)
Methods
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
federated learning
(5)
non-convex optimization
(3)
variable selection
(2)
uncertainty quantification
(2)
graph kernel
(2)
sharpness-aware minimization
(2)
distributed optimization
(2)
time series forecasting
(2)
client drift
(2)
metric learning
(1)
anomaly detection
(1)
zero-shot learning
(1)
bayesian inference
(1)
statistical modeling
(1)
stochastic gradient
(1)
nonparametric bayesian
(1)
in-context learning
(1)
statistical inference
(1)
stochastic gradient descent
(1)
attention mechanism
(1)
Papers
Kronecker-Structured Nonparametric Spatiotemporal Point Processes
UAI 2026
MAC: Metadata Acceleration for Sustainable Performance in Big-Data Systems with CXL DRAM
OSDI 2026
In-context Time Series Predictor
ICLR 2025
Tigon: A Distributed Database for a CXL Pod
OSDI 2025
Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
ICLR 2025
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
ICML 2025
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
NeurIPS 2024
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
ICML 2024
Deep Orthogonal Hypersphere Compression for Anomaly Detection
ICLR 2024
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
ICLR 2024
Active Negative Loss Functions for Learning with Noisy Labels
NeurIPS 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
Improving the Model Consistency of Decentralized Federated Learning
ICML 2023
Sparse Deep Learning for Time Series Data: Theory and Applications
NeurIPS 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
NeurIPS 2023
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network
NeurIPS 2022
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
NeurIPS 2021
Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach
ICML 2018