Liuhua Peng

According to our database, Liuhua Peng authored at least 15 papers between 2016 and 2026.

Collaborative distances:

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

2026

Adapformer: Adaptive channel management for multivariate time series forecasting.

Yuchen Luo, Xinyu Li, Liuhua Peng, Mingming Gong

Neural Networks, 2026

2025

DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing.

Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu

CoRR, October, 2025

Anchor-based Maximum Discrepancy for Relative Similarity Testing.

Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu

CoRR, October, 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

Extracting Rare Dependence Patterns via Adaptive Sample Reweighting.

Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning Imbalanced Data with Beneficial Label Noise.

Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng

Proceedings of the Forty-second International Conference on Machine Learning, 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