Boyu Wang

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure AAAI 2026 HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification AAAI 2026 Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026 Robust3DGSW: Toward Robust Watermarking for Quantization-Aware 3D Gaussian Splatting CVPR 2026 ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025 Event-Driven Online Vertical Federated Learning ICLR 2025 FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025 FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning ICML 2025 Homophily Enhanced Graph Domain Adaptation ICML 2025 Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression AAAI 2025 MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge AAAI 2025 On the Benefits of Attribute-Driven Graph Domain Adaptation ICLR 2025 Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control ICLR 2025 Textualize Visual Prompt for Image Editing via Diffusion Bridge AAAI 2025 Towards Debiased Generalized Category Discovery IJCAI 2025 Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing CVPR 2025 ZETA: Leveraging Z-order Curves for Efficient Top-k Attention ICLR 2025 Generalizing across Temporal Domains with Koopman Operators AAAI 2024 Intersectional Unfairness Discovery ICML 2024 Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time ICLR 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation ICLR 2024 Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024 Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning NAACL 2024 Towards Understanding Evolving Patterns in Sequential Data NeurIPS 2024 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NeurIPS 2023 Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation AAAI 2023 Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation CVPR 2023 Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023 Gap Minimization for Knowledge Sharing and Transfer JMLR 2023 Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training CVPR 2023 Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model NeurIPS 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023 When Source-Free Domain Adaptation Meets Learning with Noisy Labels ICLR 2023 Fair Representation Learning through Implicit Path Alignment ICML 2022 On Learning Contrastive Representations for Learning With Noisy Labels CVPR 2022 On Learning Fairness and Accuracy on Multiple Subgroups NeurIPS 2022 Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge ACL 2022 Weakly Supervised Object Localization As Domain Adaption CVPR 2022 Aggregating From Multiple Target-Shifted Sources ICML 2021 Multi-task Learning by Leveraging the Semantic Information AAAI 2021 Active Vision for Early Recognition of Human Actions CVPR 2020 Deep Active Learning: Unified and Principled Method for Query and Training AISTATS 2020 Distribution Matching for Crowd Counting NeurIPS 2020 Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020 Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting NeurIPS 2020 A Principled Approach for Learning Task Similarity in Multitask Learning IJCAI 2019 Multitask Metric Learning: Theory and Algorithm AISTATS 2019 Transfer Learning via Minimizing the Performance Gap Between Domains NeurIPS 2019 Sequence-to-Segment Networks for Segment Detection NeurIPS 2018 Generalized Dictionary for Multitask Learning with Boosting IJCAI 2016