Weijian Luo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Lesion Segmentation

Diffusion Models

Optimization Strategies

Transferring Knowledge

Top Venues

IEEE Trans. Instrum. Meas.

BMC Medical Imaging

Publications

Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen
Variational Schrödinger Diffusion Models. CoRR (2024)
Yifei Wang, Weimin Bai, Weijian Luo, Wenzheng Chen, He Sun
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images. CoRR (2024)
Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR (2023)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. NeurIPS (2023)
Yasong Feng, Weijian Luo, Yimin Huang, Tianyu Wang
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization. CoRR (2023)
Boya Zhang, Weijian Luo, Zhihua Zhang
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness. CoRR (2023)
Boya Zhang, Weijian Luo, Zhihua Zhang
Enhancing Adversarial Robustness via Score-Based Optimization. CoRR (2023)
Weijian Luo
A Comprehensive Survey on Knowledge Distillation of Diffusion Models. CoRR (2023)
Weijian Luo, Boya Zhang, Zhihua Zhang
Entropy-based Training Methods for Scalable Neural Implicit Sampler. CoRR (2023)
Boya Zhang, Weijian Luo, Zhihua Zhang
Enhancing Adversarial Robustness via Score-Based Optimization. NeurIPS (2023)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR (2023)
Weijian Luo, Cong Deng, Jiayue Liu, Xufeng Li
Research on Defect Recognition Method of Digital Pipeline Negatives Based on Improved YOLO Algorithm. RICAI (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. CoRR (2023)
Weijian Luo, Boya Zhang, Zhihua Zhang
Entropy-based Training Methods for Scalable Neural Implicit Samplers. NeurIPS (2023)
Junduan Huang, Weijian Luo, Weili Yang, An Zheng, Fengzhao Lian, Wenxiong Kang
FVT: Finger Vein Transformer for Authentication. IEEE Trans. Instrum. Meas. 71 (2022)
Xiaojun Hu, Weijian Luo, Jiliang Hu, Sheng Guo, Weilin Huang, Matthew R. Scott, Roland Wiest, Michael Dahlweid, Mauricio Reyes
Brain SegNet: 3D local refinement network for brain lesion segmentation. BMC Medical Imaging 20 (1) (2020)
Miaofen Huang, Xufeng Xing, Weijian Luo, Zhonglin Wang
Recalibration Of Offshore Chlorophyll Content Based On Virtual Satellite Constellation. IGARSS (2019)