Weijian Luo

According to our database, Weijian Luo authored at least 41 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multimodal OCR: Parse Anything from Documents.

Handong Zheng, Yumeng Li, Kaile Zhang, Liang Xin, Guangwei Zhao, Hao Liu, Jiayu Chen, Jie Lou, Qi Fu, Rui Yang, Shuo Jiang, Weijian Luo, Weijie Su, Weijun Zhang, Xingyu Zhu, Yabin Li, Yiwei ma, Yu Chen, Yuqiu Ji, Zhaohui Yu, Guang Yang, Colin Zhang, Lei Zhang, Yuliang Liu, Xiang Bai

CoRR, March, 2026

TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward.

Yihong Luo, Tianyang Hu, Weijian Luo, Jing Tang

CoRR, March, 2026

ZeroDiff++: Substantial Unseen Visual-semantic Correlation in Zero-shot Learning.

Zihan Ye, Shreyank N. Gowda, Kaile Du, Weijian Luo, Ling Shao

CoRR, February, 2026

Ultra Fast PDE Solving via Physics Guided Few-step Diffusion.

Cindy Xiangrui Kong, Yueqi Wang, Haoyang Zheng, Weijian Luo, Guang Lin

CoRR, February, 2026

Self-Guidance: Boosting Flow and Diffusion Generation on Their Own.

Tiancheng Li, Weijian Luo, Zhiyang Chen, Liyuan Ma, Guo-Jun Qi

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Rethinking the local constraints: Geometric continuity regularization for image alignment.

Yinqi Chen, Yangting Zheng, Peiwen Li, Weijian Luo, Shuo Kang, Xiang Gao, Chao Liu, Shuo Zhang, Nan Zhang

Eng. Appl. Artif. Intell., 2026

2025

Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning.

Yuxuan Gu, Weimin Bai, Yifei Wang, Weijian Luo, He Sun

CoRR, November, 2025

Let Language Constrain Geometry: Vision-Language Models as Semantic and Spatial Critics for 3D Generation.

Weimin Bai, Yubo Li, Weijian Luo, Zeqiang Lai, Yequan Wang, Wenzheng Chen, He Sun

CoRR, November, 2025

When Images Speak Louder: Mitigating Language Bias-induced Hallucinations in VLMs through Cross-Modal Guidance.

Jinjin Cao, Zhiyang Chen, Zijun Wang, Liyuan Ma, Weijian Luo, Guojun Qi

CoRR, October, 2025

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

CoRR, September, 2025

Vision-Language Models as Differentiable Semantic and Spatial Rewards for Text-to-3D Generation.

Weimin Bai, Yubo Li, Weijian Luo, Wenzheng Chen, He Sun

CoRR, September, 2025

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction.

Yifei Wang, Weimin Bai, Colin Zhang, Debing Zhang, Weijian Luo, He Sun

CoRR, May, 2025

Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation.

Yihong Luo, Tianyang Hu, Weijian Luo, Kenji Kawaguchi, Jing Tang

CoRR, March, 2025

Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences.

Weijian Luo

Trans. Mach. Learn. Res., 2025

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching.

Weimin Bai, Yubo Li, Wenzheng Chen, Weijian Luo, He Sun

Trans. Mach. Learn. Res., 2025

Deep Hashing With Walsh Domain for Multi-Label Image Retrieval.

Yinqi Chen, Peiwen Li, Yangting Zheng, Weijian Luo, Xiang Gao

IEEE Signal Process. Lett., 2025

Liberating the expressive capacity of deep hashing for image retrieval.

Yinqi Chen, Yangting Zheng, Peiwen Li, Weijian Luo, Wenbin He, Shuo Kang

Inf. Process. Manag., 2025

Content-activating for artistic style transfer with ambiguous sketchy content image.

Yinqi Chen, Yangting Zheng, Peiwen Li, Weijian Luo, Shuo Kang, Wenbin He

Neurocomputing, 2025

Deep hashing with mutual information: A comprehensive strategy for image retrieval.

Yinqi Chen, Zhiyi Lu, Yangting Zheng, Peiwen Li, Weijian Luo, Shuo Kang

Expert Syst. Appl., 2025

David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training.

Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Consistency Models Made Easy.

Zhengyang Geng, Ashwini Pokle, Weijian Luo, Justin Lin, J. Zico Kolter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Denoising Fisher Training For Neural Implicit Samplers.

Weijian Luo, Wei Deng

CoRR, 2024

Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models.

Weijian Luo, Colin Zhang, Debing Zhang, Zhengyang Geng

CoRR, 2024

Flow Generator Matching.

Zemin Huang, Zhengyang Geng, Weijian Luo, Guo-Jun Qi

CoRR, 2024

Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images.

Yifei Wang, Weimin Bai, Weijian Luo, Wenzheng Chen, He Sun

CoRR, 2024

One-Step Diffusion Distillation through Score Implicit Matching.

Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-Jun Qi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Variational Schrödinger Diffusion Models.

Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness.

Boya Zhang, Weijian Luo, Zhihua Zhang

CoRR, 2023

Training Energy-Based Models with Diffusion Contrastive Divergences.

Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

CoRR, 2023

Entropy-based Training Methods for Scalable Neural Implicit Sampler.

Weijian Luo, Boya Zhang, Zhihua Zhang

CoRR, 2023

A Comprehensive Survey on Knowledge Distillation of Diffusion Models.

Weijian Luo

CoRR, 2023

A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization.

Yasong Feng, Weijian Luo, Yimin Huang, Tianyu Wang

CoRR, 2023

Research on Defect Recognition Method of Digital Pipeline Negatives Based on Improved YOLO Algorithm.

Weijian Luo, Cong Deng, Jiayue Liu, Xufeng Li

Proceedings of the 5th International Conference on Robotics, 2023

Enhancing Adversarial Robustness via Score-Based Optimization.

Boya Zhang, Weijian Luo, Zhihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.

Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Entropy-based Training Methods for Scalable Neural Implicit Samplers.

Weijian Luo, Boya Zhang, Zhihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.

Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

FVT: Finger Vein Transformer for Authentication.

Junduan Huang, Weijian Luo, Weili Yang, An Zheng, Fengzhao Lian, Wenxiong Kang

IEEE Trans. Instrum. Meas., 2022

2020

Brain SegNet: 3D local refinement network for brain lesion segmentation.

Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Michael Dahlweid, Mauricio Reyes

BMC Medical Imaging, 2020

2019

Recalibration Of Offshore Chlorophyll Content Based On Virtual Satellite Constellation.

Miaofen Huang, Xufeng Xing, Weijian Luo, Zhonglin Wang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019