Chenyu You
33 papers · 2021–2026 · 15 conferences · across top CS/AI conferences
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Keywords
large language model
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self-supervised learning
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medical image segmentation
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contrastive learning
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representation learning
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question answering
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spoken question answering
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multi-agent system
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knowledge distillation
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domain generalization
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information retrieval
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few-shot learning
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medical imaging
(2)
spoken conversational question answering
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speech recognition
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retrieval-augmented generation
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attention mechanism
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optimal transport
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graph classification
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Papers
REVEAL: Multimodal VisionβLanguage Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
MIDL 2026
CoMA: Compositional Human Motion Generation with Multi-modal Agents
AAAI 2026
Towards Robust, Reliable, and Generalized Medical AI
AAAI 2026
OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
MICCAI 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
ICML 2025
UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
NAACL 2025
Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs
ACL 2025
Ouroboros: Single-step Diffusion Models for Cycle-consistent Forward and Inverse Rendering
ICCV 2025
DocAgent: An Agentic Framework for Multi-Modal Long-Context Document Understanding
EMNLP 2025
Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration
MICCAI 2024
Multi-Relational Structural Entropy
UAI 2024
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
CVPR 2024
Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane
WACV 2024
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
ICLR 2024
AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation
WACV 2024
Large Language Models Are Partially Primed in Pronoun Interpretation
ACL 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
NIPS 2023
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
NIPS 2023
Representation Recovering for Self-Supervised Pre-Training on Medical Images
WACV 2023
Diffeomorphic Image Registration With Neural Velocity Field
WACV 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
ACL 2023
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
WACV 2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
NIPS 2022
Class-Aware Adversarial Transformers for Medical Image Segmentation
NIPS 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
AAAI 2022
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model
NAACL 2022
MRD-Net: Multi-Modal Residual Knowledge Distillation for Spoken Question Answering
IJCAI 2021
Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering
EMNLP 2021
Undistillable: Making A Nasty Teacher That CANNOT teach students
ICLR 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
NIPS 2021
Self-Supervised Dialogue Learning for Spoken Conversational Question Answering
INTERSPEECH 2021
Semantic Transportation Prototypical Network for Few-Shot Intent Detection
INTERSPEECH 2021
Contextualized Attention-Based Knowledge Transfer for Spoken Conversational Question Answering
INTERSPEECH 2021