Recalibration Of Offshore Chlorophyll Content Based On Virtual Satellite Constellation. - Miaofen Huang; Xufeng Xing; Weijian Luo; Zhonglin Wang (IGARSS, 2019)

Brain SegNet: 3D local refinement network for brain lesion segmentation. - Xiaojun Hu; Weijian Luo; Jiliang Hu; Sheng Guo 005; Weilin Huang; Matthew R. Scott; Roland Wiest; Michael Dahlweid; Mauricio Reyes 001 (BMC Medical Imaging, 2020)

FVT: Finger Vein Transformer for Authentication. - Junduan Huang; Weijian Luo; Weili Yang; An Zheng; Fengzhao Lian; Wenxiong Kang (IEEE Trans. Instrum. Meas., 2022)

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 (NeurIPS, 2023)

Entropy-based Training Methods for Scalable Neural Implicit Samplers. - Weijian Luo; Boya Zhang; 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; Zhenguo Li; Zhi-Ming Ma (NeurIPS, 2023)

Enhancing Adversarial Robustness via Score-Based Optimization. - Boya Zhang; Weijian Luo; Zhihua Zhang (NeurIPS, 2023)

Research on Defect Recognition Method of Digital Pipeline Negatives Based on Improved YOLO Algorithm. - Weijian Luo; Cong Deng; Jiayue Liu; Xufeng Li (RICAI, 2023)

A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization. - Yasong Feng; Weijian Luo; Yimin Huang; Tianyu Wang 008 (CoRR, 2023)

A Comprehensive Survey on Knowledge Distillation of Diffusion Models. - Weijian Luo (CoRR, 2023)

Entropy-based Training Methods for Scalable Neural Implicit Sampler. - Weijian Luo; Boya Zhang; 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)

Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness. - Boya Zhang; Weijian Luo; Zhihua Zhang (CoRR, 2023)

Variational Schrödinger Diffusion Models. - Wei Deng 002; Weijian Luo; Yixin Tan; Marin Bilos; Yu Chen; Yuriy Nevmyvaka; Ricky T. Q. Chen (ICML, 2024)

One-Step Diffusion Distillation through Score Implicit Matching. - Weijian Luo; Zemin Huang; Zhengyang Geng; J. Zico Kolter; Guo-Jun Qi (NeurIPS, 2024)

Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images. - Yifei Wang; Weimin Bai; Weijian Luo; Wenzheng Chen; He Sun 010 (CoRR, 2024)

Flow Generator Matching. - Zemin Huang; Zhengyang Geng; Weijian Luo; Guo-Jun Qi (CoRR, 2024)

Diff-Instruct*: Towards Human-Preferred One-step Text-to-image Generative Models. - Weijian Luo; Colin Zhang; Debing Zhang; Zhengyang Geng (CoRR, 2024)

Denoising Fisher Training For Neural Implicit Samplers. - Weijian Luo; Wei Deng (CoRR, 2024)

Self-Guidance: Boosting Flow and Diffusion Generation on Their Own. - Tiancheng Li; Weijian Luo; Zhiyang Chen 002; Liyuan Ma; Guo-Jun Qi (CoRR, 2024)

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. - Zilyu Ye; Zhiyang Chen 002; Tiancheng Li; Zemin Huang; Weijian Luo; Guo-Jun Qi (CVPR, 2025)

Consistency Models Made Easy. - Zhengyang Geng; Ashwini Pokle; Weijian Luo; Justin Lin; J. Zico Kolter (ICLR, 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)

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)

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)

Deep Hashing With Walsh Domain for Multi-Label Image Retrieval. - Yinqi Chen; Peiwen Li; Yangting Zheng; Weijian Luo; Xiang Gao 015 (IEEE Signal Process. Lett., 2025)

Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences. - Weijian Luo (Trans. Mach. Learn. Res., 2025)

Rewards Are Enough for Fast Photo-Realistic Text-to-image Generation. - Yihong Luo; Tianyang Hu; Weijian Luo; Kenji Kawaguchi; Jing Tang 004 (CoRR, 2025)

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction. - Yifei Wang; Weimin Bai; Colin Zhang; Debing Zhang; Weijian Luo; He Sun 010 (CoRR, 2025)

Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching. - Weimin Bai; Yubo Li; Wenzheng Chen; Weijian Luo; He Sun 010 (CoRR, 2025)