Peng, Liuhua

12 publications

UAI 2025 A Unified Data Representation Learning for Non-Parametric Two-Sample Testing Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu

NeurIPS 2025 Anchor-Based Maximum Discrepancy for Relative Similarity Testing Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu

NeurIPS 2025 Balanced Active Inference Boyu Chen, Zhixiang Zhou, Liuhua Peng, Zhonglei Wang

NeurIPS 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

ICML 2025 Extracting Rare Dependence Patterns via Adaptive Sample Reweighting Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang

ICML 2025 Learning Imbalanced Data with Beneficial Label Noise Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng

ICLR 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

NeurIPS 2025 Personalized Federated Conformal Prediction with Localization Yinjie Min, Chuchen Zhang, Liuhua Peng, Changliang Zou

NeurIPS 2025 Towards Accurate Time Series Forecasting via Implicit Decoding Xinyu Li, Yuchen Luo, Hao Wang, Haoxuan Li, Liuhua Peng, Feng Liu, Yandong Guo, Kun Zhang, Mingming Gong

NeurIPS 2024 Conformalized Multiple Testing After Data-Dependent Selection Xiaoning Wang, Yuyang Huo, Liuhua Peng, Changliang Zou

NeurIPS 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

ECCV 2022 Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard Bondell, Mingming Gong