Boyu Wang
50 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (10) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Academic Marathon (9)
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Keyword Pioneer
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Cross-Pollinator
(10)
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Renaissance Researcher
(8)
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Dynamic Duo
(18)
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Grand Slam
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Deep Specialist
(10)
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Keyword Champion
(2)
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Prolific Year
(5)
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Keyword Collector
(199)
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Unstoppable
(8)
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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
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