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JUN HAN

10 papers · 2013–2026 · 6 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

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (31) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🧭 Keyword Pioneer πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (56)

Venues

AAAI (2) ICLR (2) IJCAI (2) NeurIPS (2) AISTATS (1) ICML (1)

Top co-authors

Qiang Liu (3) Zhaoqiang Liu (2) Peixian Liang (1) Zhuo Zhao (1) Xianglong Liu (1) Salvator Lombardo (1) Lizhu Zhou (1) Jiulong Liu (1) Yizhe Zhang (1) Chonghan Gao (1)

Research topics

Machine Learning (7) Deep Learning (5) Core Methods (4) Models (4) Optimization & Theory (4) Artificial Intelligence (3) Computer Vision (2) Learning Types (2) Processing (2) Healthcare & Medicine (1) Mathematics & Optimization (1) Natural Language Processing (1) Analysis (1) Application Areas (1) Architectures (1)

Keywords

generative model (4) markov chain monte carlo (2) stein variational gradient descent (2) approximate inference (2) entropy coding (1) variational inference (1) representation learning (1) video generation (1) image segmentation (1) distributed learning (1) principal component analysis (1) neural compression (1) model aggregation (1) deep learning (1) privacy-preserving learning (1) feature extraction (1) mutual information (1) variance reduction (1) signal estimation (1) compressed sensing (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 Biomedical Image Segmentation via Representative Annotation AAAI 2019 Deep Generative Video Compression NeurIPS 2019 Stein Variational Gradient Descent Without Gradient ICML 2018 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Crowdsourcing-Assisted Query Structure Interpretation IJCAI 2013