Zhang, Guangquan

17 publications

NeurIPS 2025 An Information-Theoretical Framework for Understanding Out-of-Distribution Detection with Pretrained Vision-Language Models Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang

AAAI 2025 Early Concept Drift Detection via Prediction Uncertainty Pengqian Lu, Jie Lu, Anjin Liu, Guangquan Zhang

NeurIPS 2025 Learning Robust Spectral Dynamics for Temporal Domain Generalization En Yu, Jie Lu, Xiaoyu Yang, Guangquan Zhang, Zhen Fang

ICCV 2025 On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering Bo Peng, Jie Lu, Guangquan Zhang, Zhen Fang

ICLR 2025 Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang

IJCAI 2024 A Behavior-Aware Approach for Deep Reinforcement Learning in Non-Stationary Environments Without Known Change Points Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan

ICML 2024 Adaptive Stabilization Based on Machine Learning for Column Generation Yunzhuang Shen, Yuan Sun, Xiaodong Li, Zhiguang Cao, Andrew Eberhard, Guangquan Zhang

ICML 2024 Knowledge Distillation with Auxiliary Variable Bo Peng, Zhen Fang, Guangquan Zhang, Jie Lu

AAAI 2024 Online Boosting Adaptive Learning Under Concept Drift for Multistream Classification En Yu, Jie Lu, Bin Zhang, Guangquan Zhang

ICCV 2023 Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang

AAAI 2021 How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

ICML 2021 Learning Bounds for Open-Set Learning Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang

IJCAI 2020 Clarinet: A One-Step Approach Towards Budget-Friendly Unsupervised Domain Adaptation Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu

ICML 2020 Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland

AAAI 2018 Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu

MLJ 2017 A Bayesian Nonparametric Model for Multi-Label Learning Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

IJCAI 2017 Regional Concept Drift Detection and Density Synchronized Drift Adaptation Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu