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Shaobo Han

8 papers · 2013–2026 · 4 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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+5 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Gold πŸ—ΊοΈ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (54) 🌈 Renaissance Researcher (6) πŸ“ˆ Trend Setter

Venues

NeurIPS (4) ICLR (2) AISTATS (1) CVPR (1)

Top co-authors

Lawrence Carin (4) Xuejun Liao (2) Chunyuan Li (1) Deep Patel (1) Shihao Ji (1) Zhili Feng (1) Simon Shaolei Du (1) Zhe Gan (1) Tingfeng Li (1) Ricardo Henao (1)

Research topics

Artificial Intelligence (6) Machine Learning (6) Optimization & Theory (4) Deep Learning (3) Bayesian & Probabilistic Β· Artificial Intelligence (3) Application Areas (2) Bayesian & Probabilistic Β· Machine Learning (2) Core AI (2) Learning Types (2) Models (2) Computer Vision (1) Data Science & Analytics (1) Interdisciplinary (1) Natural Language Processing (1) Reinforcement Learning (1)

Keywords

bayesian inference (3) hierarchical model (2) variational inference (2) reinforcement learning (1) semi-supervised learning (1) sample complexity (1) metric learning (1) markov chain monte carlo (1) uncertainty quantification (1) visual question answering (1) knowledge distillation (1) topic modeling (1) tensor decomposition (1) object localization (1) model merging (1) domain adaptation (1) zero-shot learning (1) laplace approximation (1) time series (1) representation learning (1)

Papers

Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models CVPR 2026 VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks NeurIPS 2024 Learning Transferable Reward for Query Object Localization with Policy Adaptation ICLR 2022 Provable Adaptation across Multiway Domains via Representation Learning ICLR 2022 VAE Learning via Stein Variational Gradient Descent NeurIPS 2017 Variational Gaussian Copula Inference AISTATS 2016 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Integrated Non-Factorized Variational Inference NeurIPS 2013