Yicheng Xu
8 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6)
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Deep Learning
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Machine Learning
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Artificial Intelligence
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Learning Types · Deep Learning
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Core Methods
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Natural Language Processing
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Learning Types · Machine Learning
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Optimization & Theory
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Computer Science
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Computer Vision
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Data Science & Analytics
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Keywords
ridge regression
(2)
catastrophic forgetting
(1)
data augmentation
(1)
domain generalization
(1)
domain adaptation
(1)
knowledge distillation
(1)
zero-shot learning
(1)
neural machine translation
(1)
cross-domain learning
(1)
image captioning
(1)
continual learning
(1)
class-incremental learning
(1)
protein representation
(1)
clustering algorithm
(1)
approximation algorithm
(1)
mixture of expert
(1)
parameterized algorithm
(1)
vision-language model
(1)
k-center clustering
(1)
shortcut learning
(1)
Papers
InternVideo-Next: Towards World-Understanding Video Models
CVPR 2026
MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning
AAAI 2026
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
ICML 2025
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
ICML 2025
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
NeurIPS 2024
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation
EMNLP 2024
Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants
AAAI 2024
TACR: A Table Alignment-based Cell Selection Method for HybridQA
ACL 2023