Xiaoqian Wang

38 papers · 2015–2025 · 10 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🤝 Dynamic Duo (10) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (14) 🏆 Keyword Champion (3) ⚡ Prolific Year (12) 🗃️ Keyword Collector (150) 📈 Trend Setter ❓ The Questioner 🔥 Unstoppable (9) 💎 Century Club (38)

Conferences

NIPS (9) AAAI (5) CVPR (5) ICLR (5) IJCAI (4) ICML (3) AISTATS (2) EMNLP (2) ICCV (2) WACV (1)

Top co-authors

Taeuk Jang (10) Heng Huang (8) Junyi Chai (7) Yipei Wang (7) Hoin Jung (5) Shenyu Lu (4) Jing Gao (3) Cheng Deng (3) Pengyi Shi (3) Feng Zheng (2)

Keywords

demographic parity (4) adversarial learning (3) spurious correlation (3) fair representation learning (3) model debiasing (2) fair representation (2) vision-language model (2) bias mitigation (2) feature attribution (2) group fairness (2) generative adversarial network (2) zero-shot classification (2) variable selection (2) contrastive learning (2) self-supervised learning (2) knowledge distillation (2) convergence rate (2) deep neural network (2) online learning (1) algorithmic fairness (1)

Papers

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 Identifying and Mitigating Spurious Correlation in Multi-Task Learning CVPR 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models ICLR 2025 Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence ICLR 2025 Adversarial Latent Feature Augmentation for Fairness ICLR 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 Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch CVPR 2024 A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks NIPS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024 Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024 Adversarial Fairness Network AAAI 2024 Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024 On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation EMNLP 2024 Fairness-Aware Online Positive-Unlabeled Learning EMNLP 2024 Debiasing Attention Mechanism in Transformer without Demographics ICLR 2024 Benchmarking Deletion Metrics with the Principled Explanations ICML 2024 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023 Difficulty-Based Sampling for Debiased Contrastive Representation Learning CVPR 2023 Group-Aware Threshold Adaptation for Fair Classification AAAI 2022 Self-Supervised Fair Representation Learning without Demographics NIPS 2022 Fairness without Demographics through Knowledge Distillation NIPS 2022 “Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations NIPS 2022 Fairness with Adaptive Weights ICML 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 NIPS 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 Regularized Modal Regression with Applications in Cognitive Impairment Prediction NIPS 2017 Group Sparse Additive Machine NIPS 2017 Learning A Structured Optimal Bipartite Graph for Co-Clustering NIPS 2017 Discriminative Unsupervised Dimensionality Reduction IJCAI 2015