Xiaoqian Wang

Adversarial Latent Feature Augmentation for Fairness ICLR 2025 Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence ICLR 2025 Identifying and Mitigating Spurious Correlation in Multi-Task Learning CVPR 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models ICLR 2025 On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness ICML 2025 Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus ICCV 2025 Think Twice: Test-Time Reasoning for Robust CLIP Zero-Shot Classification ICCV 2025 Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions WACV 2025 Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024 Adversarial Fairness Network AAAI 2024 A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks NeurIPS 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024 Benchmarking Deletion Metrics with the Principled Explanations ICML 2024 Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024 Debiasing Attention Mechanism in Transformer without Demographics ICLR 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 Fairness-Aware Online Positive-Unlabeled Learning EMNLP 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024 SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation EMNLP 2024 Difficulty-Based Sampling for Debiased Contrastive Representation Learning CVPR 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023 Fairness with Adaptive Weights ICML 2022 Fairness without Demographics through Knowledge Distillation NeurIPS 2022 Group-Aware Threshold Adaptation for Fair Classification AAAI 2022 Self-Supervised Fair Representation Learning without Demographics NeurIPS 2022 “Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations NeurIPS 2022 Constructing a Fair Classifier with Generated Fair Data AAAI 2021 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method IJCAI 2021 Self-Interpretable Model with Transformation Equivariant Interpretation NeurIPS 2021 Shapley Explanation Networks ICLR 2021 Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks IJCAI 2020 Balanced Self-Paced Learning for Generative Adversarial Clustering Network CVPR 2019 New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018 Group Sparse Additive Machine NeurIPS 2017 Learning A Structured Optimal Bipartite Graph for Co-Clustering NeurIPS 2017 Regularized Modal Regression with Applications in Cognitive Impairment Prediction NeurIPS 2017 Discriminative Unsupervised Dimensionality Reduction IJCAI 2015