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2020 – today
- 2024
[c7]Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen:
Variational Schrödinger Diffusion Models. ICML 2024- [i10]Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen:
Variational Schrödinger Diffusion Models. CoRR abs/2405.04795 (2024) - [i9]Yifei Wang, Weimin Bai, Weijian Luo, Wenzheng Chen, He Sun:
Integrating Amortized Inference with Diffusion Models for Learning Clean Distribution from Corrupted Images. CoRR abs/2407.11162 (2024) - 2023
- [c6]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 - [c5]Weijian Luo, Boya Zhang, Zhihua Zhang:
Entropy-based Training Methods for Scalable Neural Implicit Samplers. NeurIPS 2023 - [c4]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 - [c3]Boya Zhang, Weijian Luo, Zhihua Zhang:
Enhancing Adversarial Robustness via Score-Based Optimization. NeurIPS 2023 - [c2]Weijian Luo, Cong Deng, Jiayue Liu, Xufeng Li:
Research on Defect Recognition Method of Digital Pipeline Negatives Based on Improved YOLO Algorithm. RICAI 2023: 980-985 - [i8]Yasong Feng, Weijian Luo, Yimin Huang, Tianyu Wang:
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization. CoRR abs/2302.01539 (2023) - [i7]Weijian Luo:
A Comprehensive Survey on Knowledge Distillation of Diffusion Models. CoRR abs/2304.04262 (2023) - [i6]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 abs/2305.18455 (2023) - [i5]Weijian Luo, Boya Zhang, Zhihua Zhang:
Entropy-based Training Methods for Scalable Neural Implicit Sampler. CoRR abs/2306.04952 (2023) - [i4]Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR abs/2307.01668 (2023) - [i3]Boya Zhang, Weijian Luo, Zhihua Zhang:
Enhancing Adversarial Robustness via Score-Based Optimization. CoRR abs/2307.04333 (2023) - [i2]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 abs/2309.05019 (2023) - [i1]Boya Zhang, Weijian Luo, Zhihua Zhang:
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness. CoRR abs/2310.18762 (2023) - 2022
- [j2]Junduan Huang
, Weijian Luo, Weili Yang, An Zheng, Fengzhao Lian, Wenxiong Kang:
FVT: Finger Vein Transformer for Authentication. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - 2020
- [j1]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): 17 (2020)
2010 – 2019
- 2019
- [c1]Miaofen Huang, Xufeng Xing, Weijian Luo, Zhonglin Wang:
Recalibration Of Offshore Chlorophyll Content Based On Virtual Satellite Constellation. IGARSS 2019: 7976-7979
Coauthor Index
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