2025

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization

Weizhi Gao, Zhichao Hou, Feiyi Wang, Junqi Yin, Linyu Peng, Xiaorui Liu

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization

Weizhi Gao, Zhichao Hou, Feiyi Wang, Junqi Yin, Linyu Peng, Xiaorui Liu

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

Boosting Adversarial Robustness and Generalization with Structural Prior
Boosting Adversarial Robustness and Generalization with Structural Prior

Zhichao Hou, Weizhi Gao, Harmid Krim, Xiaorui Liu

arXiv preprint arXiv:2502.00834 2025

[Paper] [Code]

Boosting Adversarial Robustness and Generalization with Structural Prior

Zhichao Hou, Weizhi Gao, Harmid Krim, Xiaorui Liu

arXiv preprint arXiv:2502.00834 2025

[Paper] [Code]

2024

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing

Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu

Neural Information Processing Systems (NeurIPS) 2024

[Paper] [Code]

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing

Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu

Neural Information Processing Systems (NeurIPS) 2024

[Paper] [Code]

ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm

Zhichao Hou, Weizhi Gao, Yuchen Shen, Xiaorui Liu

Neural Information Processing Systems (NeurIPS) 2024

[Paper] [Code]

ProTransformer: Robustify Transformers via Plug-and-Play Paradigm

Zhichao Hou, Weizhi Gao, Yuchen Shen, Xiaorui Liu

Neural Information Processing Systems (NeurIPS) 2024

[Paper] [Code]

D^4: Dataset Distillation via Disentangled Diffusion Model
D^4: Dataset Distillation via Disentangled Diffusion Model

Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang

Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] [Code]

D^4: Dataset Distillation via Disentangled Diffusion Model

Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang

Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] [Code]

2023

Breaking through deterministic barriers: randomized pruning mask generation and selection
Breaking through deterministic barriers: randomized pruning mask generation and selection

Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu

EMNLP Findings 2023

[Paper] [Code]

Breaking through deterministic barriers: randomized pruning mask generation and selection

Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu

EMNLP Findings 2023

[Paper] [Code]

Improving long-tailed classification by disentangled variance transfer
Improving long-tailed classification by disentangled variance transfer

Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu

Internet of Things 2023

[Paper] [Code]

Improving long-tailed classification by disentangled variance transfer

Yingjie Tian, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu

Internet of Things 2023

[Paper] [Code]

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft
Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft

Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu

Biomedical Signal Processing and Control 2023

[Paper] [Code]

Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft

Shiding Sun, Yingjie Tian, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu

Biomedical Signal Processing and Control 2023

[Paper] [Code]