Ximei Wang
17 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (6) π Renaissance Researcher (5) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (37)
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Conference Polyglot
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Grand Slam
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(12)
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Conference Pioneer
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Century Club
(17)
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Conferences
ICML (5)
AAAI (4)
NIPS (4)
ICLR (2)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
transfer learning
(4)
domain adaptation
(4)
multi-task learning
(3)
domain generalization
(2)
adversarial learning
(2)
semi-supervised learning
(2)
unsupervised domain adaptation
(2)
negative transfer
(2)
pseudo label
(2)
computer vision
(1)
representation learning
(1)
adversarial optimization
(1)
zero-shot learning
(1)
model calibration
(1)
model selection
(1)
knowledge transfer
(1)
embedding learning
(1)
adversarial training
(1)
pseudo labeling
(1)
contrastive learning
(1)
Papers
Long-Sequence Recommendation Models Need Decoupled Embeddings
ICLR 2025
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
ICML 2025
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
AAAI 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
AAAI 2024
On the Embedding Collapse when Scaling up Recommendation Models
ICML 2024
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
AAAI 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
NIPS 2023
CLIPood: Generalizing CLIP to Out-of-Distributions
ICML 2023
Debiased Self-Training for Semi-Supervised Learning
NIPS 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
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
NIPS 2020
Minimum Class Confusion for Versatile Domain Adaptation
ECCV 2020
Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation
ICML 2019
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks
NIPS 2019
Transferable Attention for Domain Adaptation
AAAI 2019