Ximei Wang
17 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Grand Slam
π€
Dynamic Duo
(12)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(15)
Learning Types Β· Machine Learning
(11)
Deep Learning
(9)
Application Areas
(9)
Learning Types Β· Deep Learning
(7)
Core Methods
(6)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Data Science & Analytics
(3)
Applications
(3)
Learning Paradigms
(2)
Computer Vision
(1)
Analysis
(1)
Architectures
(1)
Core AI
(1)
Keywords
domain adaptation
(4)
transfer learning
(4)
multi-task learning
(3)
adversarial learning
(2)
embedding learning
(2)
semi-supervised learning
(2)
unsupervised domain adaptation
(2)
pseudo label
(2)
negative transfer
(2)
domain generalization
(2)
representation learning
(2)
model calibration
(1)
computer vision
(1)
adversarial optimization
(1)
zero-shot learning
(1)
scalability
(1)
knowledge transfer
(1)
model selection
(1)
attention mechanism
(1)
contrastive learning
(1)
Papers
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
ICML 2025
Long-Sequence Recommendation Models Need Decoupled Embeddings
ICLR 2025
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
AAAI 2024
On the Embedding Collapse when Scaling up Recommendation Models
ICML 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
AAAI 2024
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
AAAI 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
ICML 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
NeurIPS 2023
Debiased Self-Training for Semi-Supervised Learning
NeurIPS 2022
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
ICLR 2022
Regressive Domain Adaptation for Unsupervised Keypoint Detection
CVPR 2021
Self-Tuning for Data-Efficient Deep Learning
ICML 2021
Minimum Class Confusion for Versatile Domain Adaptation
ECCV 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
NeurIPS 2020
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
ICML 2019
Transferable Attention for Domain Adaptation
AAAI 2019
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
NeurIPS 2019