Weiwei Liu

On the Robustness of Bandit Multiple Testing AAAI 2026 Rademacher Complexity for Distributionally Robust Learning AAAI 2026 A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection ICML 2025 An Error Analysis of Flow Matching for Deep Generative Modeling ICML 2025 An Online Statistical Framework for Out-of-Distribution Detection ICML 2025 Model Uncertainty Quantification by Conformal Prediction in Continual Learning ICML 2025 Nonconvex Theory of M-estimators with Decomposable Regularizers ICML 2025 Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks ICML 2025 A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NeurIPS 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 A Provable Decision Rule for Out-of-Distribution Detection ICML 2024 A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks ICML 2024 Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024 DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024 Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NeurIPS 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Sequential Kernel Goodness-of-fit Testing ICML 2024 The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NeurIPS 2024 Zero-shot Learning for Preclinical Drug Screening IJCAI 2024 Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation NeurIPS 2023 A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NeurIPS 2023 Better Diffusion Models Further Improve Adversarial Training ICML 2023 Characterization of Overfitting in Robust Multiclass Classification NeurIPS 2023 DDGR: Continual Learning with Deep Diffusion-based Generative Replay ICML 2023 Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023 Delving into Noisy Label Detection with Clean Data ICML 2023 Generalization Bounds for Adversarial Contrastive Learning JMLR 2023 Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 RVCL: Evaluating the Robustness of Contrastive Learning via Verification JMLR 2023 Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023 TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning CoRL 2023 WAT: Improve the Worst-Class Robustness in Adversarial Training AAAI 2023 Defending Against Adversarial Attacks via Neural Dynamic System NeurIPS 2022 MetaWeighting: Learning to Weight Tasks in Multi-Task Learning ACL 2022 On Robust Multiclass Learnability NeurIPS 2022 On the Tradeoff Between Robustness and Fairness NeurIPS 2022 Robustness Verification for Contrastive Learning ICML 2022 BanditMTL: Bandit-based Multi-task Learning for Text Classification ACL 2021 Adaptive Adversarial Multi-task Representation Learning ICML 2020 Collaboration Based Multi-Label Propagation for Fraud Detection IJCAI 2020 Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification AAAI 2020 Learning From Multi-Dimensional Partial Labels IJCAI 2020 Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization IJCAI 2020 Opinion Maximization in Social Trust Networks IJCAI 2020 Tchebycheff Procedure for Multi-task Text Classification ACL 2020 Temporal Network Embedding with High-Order Nonlinear Information AAAI 2020 Copula Multi-label Learning NeurIPS 2019 Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019 Sparse Extreme Multi-label Learning with Oracle Property ICML 2019 Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification AAAI 2019 Deep Discrete Prototype Multilabel Learning IJCAI 2018 Discrete Network Embedding IJCAI 2018 Ranking Preserving Nonnegative Matrix Factorization IJCAI 2018 An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels JMLR 2017 Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017 Sparse Embedded k-Means Clustering NeurIPS 2017 THU-EE System Description for NIST LRE 2015 Interspeech 2016 On the Optimality of Classifier Chain for Multi-label Classification NeurIPS 2015