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Weijian Luo

10 papers · 2023–2026 · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze

Venues

NeurIPS (5) CVPR (2) ICML (2) ICLR (1)

Top co-authors

Zhihua Zhang (3) Zhengyang Geng (3) Zemin Huang (2) Zhenguo Li (2) Shifeng Zhang (2) Jiacheng Sun (2) Guo-Jun Qi (2) Boya Zhang (2) Ashwini Pokle (1) J Zico Kolter (1)

Research topics

Deep Learning (9) Models (9) Machine Learning (8) Optimization & Theory (5) Artificial Intelligence (2) Core AI (2) Learning Types · Machine Learning (2) Computer Vision (1) Reinforcement Learning (1) Application Areas (1) Generation (1) Learning Types · Deep Learning (1) Methods (1) Techniques (1)

Keywords

diffusion model (5) image generation (4) generative model (3) reinforcement learning (2) knowledge distillation (2) kullback-leibler divergence (2) adaptive sampling (1) sampling efficiency (1) flow matching (1) consistency model (1) score matching (1) optimization (1) model training (1) variational objective (1) adversarial defense (1) markov chain monte carlo (1) stochastic differential equation (1) energy-based model (1) model distillation (1) adversarial robustness (1)

Papers

Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning CVPR 2026 Consistency Models Made Easy ICLR 2025 David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training ICML 2025 Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation CVPR 2025 One-Step Diffusion Distillation through Score Implicit Matching NeurIPS 2024 Variational Schrödinger Diffusion Models ICML 2024 Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NeurIPS 2023 Enhancing Adversarial Robustness via Score-Based Optimization NeurIPS 2023 Entropy-based Training Methods for Scalable Neural Implicit Samplers NeurIPS 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NeurIPS 2023