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Yuan Cheng

20 papers at tracked venues · 17 at CORE A* · active 2024–2026

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Venues

AAAI ×4ICCV ×4ICLR ×2ICML ×2NeurIPS ×2SIGKDD ×2AISTATS ×1EMNLP ×1MICCAI ×1SIGIR ×1

Frequent coauthors

Yichi Zhang
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Tan Pan
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Xiaoyu Tan
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Qi Si
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Yifeng Jiao
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Hongwei Zhang
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Xing Hu
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Hui Wang
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Zhaorui Tan
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Yu Huang
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Ruiquan Huang
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Junze Deng
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Papers

  1. PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography
    AAAI 2026 ·
    Yichi Zhang
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  2. Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
    AAAI 2026 ·
    Qi Si
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  3. Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective
    AAAI 2026 ·
    Tan Pan
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  4. ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
    NeurIPS 2025 ·
    Yifeng Jiao
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  5. Efficient Network Automatic Relevance Determination
    ICML 2025 ·
    Hongwei Zhang
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  6. Enhancing the Reliability of Auto-Prompting SAM for Medical Image Segmentation with Uncertainty Estimation and Rectification
    ICCV 2025 ·
    Yichi Zhang
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  7. Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
    NeurIPS 2025 ·
    Tan Pan
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  8. OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
    ICLR 2025 ·
    Xing Hu
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  9. Pushing the Limits of BFP on Narrow Precision LLM Inference
    AAAI 2025 ·
    Hui Wang
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  10. SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images
    ICCV 2025 ·
    Yichi Zhang
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  11. Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios
    SIGKDD 2025 ·
    Xiaoyu Tan
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  12. Structure-Aware Semantic Discrepancy and Consistency for 3D Medical Image Self-Supervised Learning
    ICCV 2025 ·
    Tan Pan
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  13. Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation
    ICCV 2025 ·
    Zhaorui Tan
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  14. Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models
    SIGKDD 2024 ·
    Xiaoyu Tan
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  15. Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity
    SIGIR 2024 ·
    Xiaoyu Tan
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  16. Exploring CNN and Transformer Architectures for Multi-class Bi-Atrial Segmentation from Late Gadolinium-Enhanced MRI
    MICCAI 2024 ·
    Yichi Zhang
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  17. In-context Convergence of Transformers
    ICML 2024 ·
    Yu Huang
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  18. Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
    ICLR 2024 ·
    Ruiquan Huang
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  19. Sample Complexity Characterization for Linear Contextual MDPs
    AISTATS 2024 ·
    Junze Deng
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  20. ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average
    EMNLP 2024 ·
    Shaojie Shi
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