Lu, Jie

32 publications

ICLR 2025 Adapting Multi-Modal Large Language Model to Concept Drift from Pre-Training Onwards Xiaoyu Yang, Jie Lu, En Yu

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

NeurIPS 2025 Bayesian Ego-Graph Inference for Networked Multi-Agent Reinforcement Learning Wei Duan, Jie Lu, Junyu Xuan

ICLR 2025 Bridging the Gap Between Variational Inference and Stochastic Gradient MCMC in Function Space Mengjing Wu, Junyu Xuan, Jie Lu

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

AISTATS 2025 Functional Stochastic Gradient MCMC for Bayesian Neural Networks Mengjing Wu, Junyu Xuan, Jie Lu

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

NeurIPS 2025 Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning Xiaoyu Yang, Jie Lu, En Yu

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

UAI 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning Mengjing Wu, Junyu Xuan, Jie Lu

UAI 2024 Functional Wasserstein Variational Policy Optimization Junyu Xuan, Mengjing Wu, Zihe Liu, Jie Lu

IJCAI 2024 Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning Wei Duan, Jie Lu, Junyu Xuan

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

TMLR 2024 Layer-Diverse Negative Sampling for Graph Neural Networks Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan

NeurIPS 2024 Learning to Shape In-Distribution Feature Space for Out-of-Distribution Detection Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung

JMLR 2024 On the Learnability of Out-of-Distribution Detection Zhen Fang, Yixuan Li, Feng Liu, Bo Han, 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

NeurIPS 2022 Is Out-of-Distribution Detection Learnable? Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu

AAAI 2022 Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu

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

NeurIPS 2021 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland

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

IJCAI 2016 Improving Topic Model Stability for Effective Document Exploration Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, Mercan Topkara

CVPR 1993 Local, Global, and Multilevel Stereo Matching Yibing Yang, Alan L. Yuille, Jie Lu