Wang, Xiaoqian

38 publications

ICLR 2025 Adversarial Latent Feature Augmentation for Fairness Hoin Jung, Junyi Chai, Xiaoqian Wang

ICLR 2025 Agree to Disagree: Demystifying Homogeneous Deep Ensembles Through Distributional Equivalence Yipei Wang, Xiaoqian Wang

CVPR 2025 Identifying and Mitigating Spurious Correlation in Multi-Task Learning Junyi Chai, Shenyu Lu, Xiaoqian Wang

ICLR 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models Shenyu Lu, Junyi Chai, Xiaoqian Wang

ICML 2025 On the Alignment Between Fairness and Accuracy: From the Perspective of Adversarial Robustness Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang

ICCV 2025 Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus Taeuk Jang, Hoin Jung, Xiaoqian Wang

ICCV 2025 Think Twice: Test-Time Reasoning for Robust CLIP Zero-Shot Classification Shenyu Lu, Zhaoying Pan, Xiaoqian Wang

WACV 2025 Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions Hoin Jung, Xiaoqian Wang

NeurIPS 2024 A Unified Debiasing Approach for Vision-Language Models Across Modalities and Tasks Hoin Jung, Taeuk Jang, Xiaoqian Wang

AISTATS 2024 Achieving Fairness Through Separability: A Unified Framework for Fair Representation Learning Taeuk Jang, Hongchang Gao, Pengyi Shi, Xiaoqian Wang

AAAI 2024 Adversarial Fairness Network Taeuk Jang, Xiaoqian Wang, Heng Huang

CVPR 2024 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang

ICML 2024 Benchmarking Deletion Metrics with the Principled Explanations Yipei Wang, Xiaoqian Wang

AAAI 2024 Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow Tianchun Li, Chengxiang Wu, Pengyi Shi, Xiaoqian Wang

ICLR 2024 Debiasing Attention Mechanism in Transformer Without Demographics Shenyu Lu, Yipei Wang, Xiaoqian Wang

CVPR 2024 FADES: Fair Disentanglement with Sensitive Relevance Taeuk Jang, Xiaoqian Wang

NeurIPS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience Yipei Wang, Jeffrey Mark Siskind, Xiaoqian Wang

AISTATS 2024 On the Effect of Key Factors in Spurious Correlation: A Theoretical Perspective Yipei Wang, Xiaoqian Wang

CVPR 2023 Difficulty-Based Sampling for Debiased Contrastive Representation Learning Taeuk Jang, Xiaoqian Wang

AAAI 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

NeurIPS 2022 Fairness Without Demographics Through Knowledge Distillation Junyi Chai, Taeuk Jang, Xiaoqian Wang

ICML 2022 Fairness with Adaptive Weights Junyi Chai, Xiaoqian Wang

AAAI 2022 Group-Aware Threshold Adaptation for Fair Classification Taeuk Jang, Pengyi Shi, Xiaoqian Wang

NeurIPS 2022 Self-Supervised Fair Representation Learning Without Demographics Junyi Chai, Xiaoqian Wang

NeurIPS 2022 “Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations Yipei Wang, Xiaoqian Wang

AAAI 2021 Constructing a Fair Classifier with Generated Fair Data Taeuk Jang, Feng Zheng, Xiaoqian Wang

IJCAI 2021 On the Convergence of Stochastic Compositional Gradient Descent Ascent Method Hongchang Gao, Xiaoqian Wang, Lei Luo, Xinghua Shi

NeurIPS 2021 Self-Interpretable Model with Transformation Equivariant Interpretation Yipei Wang, Xiaoqian Wang

ICLR 2021 Shapley Explanation Networks Rui Wang, Xiaoqian Wang, David I. Inouye

IJCAI 2020 Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao

AAAI 2018 Directional Label Rectification in Adaptive Graph Xiaoqian Wang, Hao Huang

IJCAI 2018 New Balanced Active Learning Model and Optimization Algorithm Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang

NeurIPS 2017 Group Sparse Additive Machine Hong Chen, Xiaoqian Wang, Cheng Deng, Heng Huang

NeurIPS 2017 Learning a Structured Optimal Bipartite Graph for Co-Clustering Feiping Nie, Xiaoqian Wang, Cheng Deng, Heng Huang

AAAI 2017 Multiclass Capped ℓp-Norm SVM for Robust Classifications Feiping Nie, Xiaoqian Wang, Heng Huang

NeurIPS 2017 Regularized Modal Regression with Applications in Cognitive Impairment Prediction Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang

AAAI 2016 The Constrained Laplacian Rank Algorithm for Graph-Based Clustering Feiping Nie, Xiaoqian Wang, Michael I. Jordan, Heng Huang

IJCAI 2015 Discriminative Unsupervised Dimensionality Reduction Xiaoqian Wang, Yun Liu, Feiping Nie, Heng Huang