Liuhua Peng

According to our database, Liuhua Peng authored at least 10 papers between 2016 and 2025.

Collaborative distances:

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

2025

A Kernel Distribution Closeness Testing.

Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu

CoRR, July, 2025

A Unified Data Representation Learning for Non-parametric Two-sample Testing.

Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning.

Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem.

Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Feng Liu

CoRR, 2024

Conformalized Multiple Testing after Data-dependent Selection.

Xiaoning Wang, Yuyang Huo, Liuhua Peng, Changliang Zou

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

In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment.

Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong

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

2022

Nonparametric feature selection by random forests and deep neural networks.

Xiaojun Mao, Liuhua Peng, Zhonglei Wang

Comput. Stat. Data Anal., 2022

Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression.

Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard D. Bondell, Mingming Gong

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Variable importance assessments and backward variable selection for multi-sample problems.

Liuhua Peng, Long Qu, Dan Nettleton

J. Multivar. Anal., 2021

2016

More powerful tests for sparse high-dimensional covariances matrices.

Liuhua Peng, Song Xi Chen, Wen Zhou

J. Multivar. Anal., 2016