← Authors

Boyu Wang

50 papers · 2016–2026 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸƒ Academic Marathon (9) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (8) 🀝 Dynamic Duo (18) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (2) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (199) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (47)

Conferences

AAAI (12) NIPS (9) CVPR (7) ICLR (7) ICML (5) IJCAI (4) ACL (2) AISTATS (2) JMLR (1) NAACL (1)

Top co-authors

Charles Ling (19) Changjian Shui (9) Gezheng Xu (9) Qiuhao Zeng (8) Christian GagnΓ© (7) Ruizhi Pu (7) Ruiyi Fang (5) Hao Zheng (5) Fan Zhou (5) Qi Chen (4)

Keywords

domain adaptation (7) representation learning (4) contrastive learning (3) distribution matching (3) noisy label (3) federated learning (3) generalization bound (3) multitask learning (2) data augmentation (2) topic modeling (2) optimal transport (2) transfer learning (2) image editing (2) adversarial training (2) self-supervised learning (2) domain generalization (2) image generation (2) wasserstein distance (2) multi-task learning (2) prototype learning (2)

Papers

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