Jiacheng Yang
10 papers · 2018–2026 · 5 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30)
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Artificial Intelligence
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Learning Types · Deep Learning
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Learning Types · Machine Learning
(4)
Natural Language Processing
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Reinforcement Learning
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long-tailed learning
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large language model
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reinforcement learning
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catastrophic forgetting
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knowledge distillation
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relation extraction
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transfer learning
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neural machine translation
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named entity recognition
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multi-label classification
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neural architecture search
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semantic representation
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reward function
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distributed training
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decision boundary
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diffusion model
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cross-modal alignment
(1)
foundation model
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information extraction
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Papers
CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning
CVPR 2026
Decision Boundary-aware Generation for Long-tailed Learning
CVPR 2026
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
CVPR 2026
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
AAAI 2026
SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning
CVPR 2026
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories
ICML 2025
OpenUE: An Open Toolkit of Universal Extraction from Text
EMNLP 2020
Towards Making the Most of BERT in Neural Machine Translation
AAAI 2020
Park: An Open Platform for Learning-Augmented Computer Systems
NeurIPS 2019
Path-Level Network Transformation for Efficient Architecture Search
ICML 2018