JUN HAN
10 papers · 2013–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (15)
🌈
Renaissance Researcher
(7)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(6)
🏆
Grand Slam
💎
Century Club
(10)
🚀
Conference Pioneer
🔥
Unstoppable
(5)
📈
Trend Setter
Conferences
AAAI (2)
ICLR (2)
IJCAI (2)
NIPS (2)
AISTATS (1)
ICML (1)
Top co-authors
Keywords
stein variational gradient descent
(2)
approximate inference
(2)
generative model
(2)
markov chain monte carlo
(2)
variational inference
(1)
feature extraction
(1)
compressed sensing
(1)
unsupervised feature extraction
(1)
neural compression
(1)
model aggregation
(1)
deep learning
(1)
privacy-preserving learning
(1)
entropy coding
(1)
variance reduction
(1)
biomedical imaging
(1)
signal estimation
(1)
projected gradient descent
(1)
model averaging
(1)
distributed learning
(1)
image segmentation
(1)
Papers
GeoNum: Bridging Numerical Continuity and Language Semantics via Geometric Embedding
AAAI 2026
Generative Principal Component Analysis
ICLR 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
IJCAI 2022
Disentangled Recurrent Wasserstein Autoencoder
ICLR 2021
Stein Variational Inference for Discrete Distributions
AISTATS 2020
Deep Generative Video Compression
NIPS 2019
Biomedical Image Segmentation via Representative Annotation
AAAI 2019
Stein Variational Gradient Descent Without Gradient
ICML 2018
Bootstrap Model Aggregation for Distributed Statistical Learning
NIPS 2016
Crowdsourcing-Assisted Query Structure Interpretation
IJCAI 2013