Zou, Changliang

17 publications

ICLR 2025 Conditional Testing Based on Localized Conformal $p$-Values Xiaoyang Wu, Lin Lu, Zhaojun Wang, Changliang Zou

ICML 2025 Conformal Prediction with Cellwise Outliers: A Detect-Then-Impute Approach Qian Peng, Yajie Bao, Haojie Ren, Zhaojun Wang, Changliang Zou

ICML 2025 E-GAI: E-Value-Based Generalized $α$-Investing for Online False Discovery Rate Control Yifan Zhang, Zijian Wei, Haojie Ren, Changliang Zou

NeurIPS 2025 Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection Yinjie Min, Furong Xu, Xinyao Li, Changliang Zou, Yongdao Zhou

ICLR 2025 Error-Quantified Conformal Inference for Time Series Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou

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

JMLR 2025 Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection Chengde Qian, Guanghui Wang, Changliang Zou

ICML 2024 ByMI: Byzantine Machine Identification with False Discovery Rate Control Chengde Qian, Mengyuan Wang, Haojie Ren, Changliang Zou

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

JMLR 2024 Low-Rank Matrix Estimation in the Presence of Change-Points Lei Shi, Guanghui Wang, Changliang Zou

NeurIPS 2024 Real-Time Selection Under General Constraints via Predictive Inference Yuyang Huo, Lin Lu, Haojie Ren, Changliang Zou

NeurIPS 2024 Robust Group and Simultaneous Inferences for High-Dimensional Single Index Model Weichao Yang, Hongwei Shi, Xu Guo, Changliang Zou

AAAI 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation Hui Chen, Yinxu Jia, Guanghui Wang, Changliang Zou

NeurIPS 2024 Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference Geng Chen, Yinxu Jia, Guanghui Wang, Changliang Zou

JMLR 2023 Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning Xiaolong Cui, Lei Shi, Wei Zhong, Changliang Zou

NeurIPS 2022 AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou