Publications
(*) denotes equal contribution.
Selected Publications (* indicates equal contribution or corresponding author):
- Technical report of the dots.vlm1
hi-lab multimodal team, Xiaohongshu Inc.
preprint, 2025 - Self-Guidance: Boosting Flow and Diffusion Generation on Their Own
Tiancheng Li, Weijian Luo*, Zhiyang Chen, Liyuan Ma, Guo-Jun Qi
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 - Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences
Weijian Luo
Transactions on Machine Learning Research (TMLR), 2024 - Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
Yifei Wang, Weimin Bai, Colin Zhang, Debing Zhang, Weijian Luo*, and He Sun
NeurIPS, 2025 - Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation
Yihong Luo*, Tianyang Hu*, Weijian Luo, Kenji Kawaguchi, and Jing Tang
NeurIPS, 2025 - One-Step Diffusion Distillation through Score Implicit Matching
Weijian Luo, Zemin Huang, Zhengyang Geng, J Zico Kolter, Guo-Jun Qi
NeurIPS, 2024 - Diff-instruct: A Universal Approach for Transferring Knowledge from Pre-trained Diffusion Models
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhengguo Li, Zhihua Zhang
NeurIPS, 2023 - Entropy-based Training Methods for Scalable Neural Implicit Samplers
Weijian Luo, Boya Zhang, Zhihua Zhang
NeurIPS, 2023 - Enhancing Adversarial Robustness via Score-based Optimization
Boya Zhang, Weijian Luo, Zhihua Zhang
NeurIPS, 2023 - SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhengguo Li, Zhiming Ma
NeurIPS, 2023 - David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
Weijian Luo, Colin zhang, Debing Zhang, Zhengyang Geng
ICML, 2025 - Variational Schrödinger Diffusion Models
Wei Deng*, Weijian Luo*, Yixin Tan*, Marin Biloš, Yu Chen, Yuriy Nevmyvaka, Ricky TQ Chen
ICML, 2024 - Consistency Models Made Easy
Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J Zico Kolter
ICLR, 2024 - Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi
CVPR, 2024 - Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
Haoyang Zheng, Xinyang Liu, Cindy Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo*, Wei Deng, Guang Lin
preprint, 2025 - A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Weijian Luo
arXiv preprint, arXiv:2304.04262, 2023 - One-step Flow Matching Generators
Zemin Huang, Zhengyang Geng, Weijian Luo*, Guo-Jun Qi
preprint, 2024