Liuhua Peng - RankMe

19 papers A* 5A 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapformer: Adaptive channel management for multivariate time series forecasting. Neural Networks Yuchen Luo, Xinyu Li, Liuhua Peng, Mingming Gong
2026	J	`jnl`	Quantifying Manual Adjustment of Foot Placement Under a Fixed Robotic Trajectory in Lower Limb Exoskeletons. IEEE Trans. Hum. Mach. Syst. Xiruo Cheng, Justin Fong, Liuhua Peng, Ying Tan, Denny Oetomo
2025	J	`jnl`	A Kernel Distribution Closeness Testing. CoRR Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu
2025	A	`conf`	A Unified Data Representation Learning for Non-parametric Two-sample Testing. UAI Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu
2025	J	`jnl`	Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting. CoRR Yuchen Luo, Xinyu Li, Liuhua Peng, Mingming Gong
2025	J	`jnl`	Anchor-based Maximum Discrepancy for Relative Similarity Testing. CoRR Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu
2025	J	`jnl`	DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing. CoRR Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu
2025	A*	`conf`	Extracting Rare Dependence Patterns via Adaptive Sample Reweighting. ICML Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang
2025	A*	`conf`	Learning Imbalanced Data with Beneficial Label Noise. ICML Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng
2025	A*	`conf`	LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. ICLR Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2025	J	`jnl`	LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning. CoRR Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2024	A*	`conf`	Conformalized Multiple Testing after Data-dependent Selection. NeurIPS Xiaoning Wang, Yuyang Huo, Liuhua Peng, Changliang Zou
2024	A*	`conf`	In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment. NeurIPS Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong
2024	J	`jnl`	Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem. CoRR Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Feng Liu
2022	J	`jnl`	Nonparametric Feature Selection by Random Forests and Deep Neural Networks. CoRR Xiaojun Mao, Liuhua Peng, Zhonglei Wang
2022	J	`jnl`	Nonparametric feature selection by random forests and deep neural networks. Comput. Stat. Data Anal. Xiaojun Mao, Liuhua Peng, Zhonglei Wang
2022	—	`conf`	Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression. ECCV (2) Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard D. Bondell, Mingming Gong
2021	J	`jnl`	Variable importance assessments and backward variable selection for multi-sample problems. J. Multivar. Anal. Liuhua Peng, Long Qu, Dan Nettleton
2016	J	`jnl`	More powerful tests for sparse high-dimensional covariances matrices. J. Multivar. Anal. Liuhua Peng, Song Xi Chen, Wen Zhou