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Di Niu

University of Alberta, Edmonton, AB, Canada

21 papers at tracked venues · 14 at CORE A* · active 2024–2026

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Venues

ACL ×4AAAI ×3CIKM ×2ICLR ×2NeurIPS ×2SDM ×2CVPR ×1EMNLP ×1ICML ×1MLSys ×1SIGKDD ×1WACV ×1

Frequent coauthors

Amirhosein Ghasemabadi
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Jiuding Yang
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Sijia Chen
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Keith G. Mills
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Shengyao Lu
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Muhammad Kamran Janjua
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Mohammadreza Samadi
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Jerry Chen
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Mohammadali Shakerdargah
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Hongxuan Liu
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Liyao Jiang
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Ruichen Chen
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Papers

  1. Grounding Degradations in Natural Language for All-In-One Video Restoration
    WACV 2026 ·
    Muhammad Kamran Janjua
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  2. Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
    ACL 2026 ·
    Amirhosein Ghasemabadi
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  3. PerfCoder: Large Language Models for Interpretable Code Performance Optimization
    ACL 2026 ·
    Jiuding Yang
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  4. rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection
    ACL 2026 ·
    Sijia Chen
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  5. Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants
    CIKM 2025 ·
    Jiuding Yang
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  6. FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models
    AAAI 2025 ·
    Mohammadreza Samadi
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  7. HyperGenFL: Hypernetwork-Generated Model Aggregation in Federated Learning
    CIKM 2025 ·
    Jerry Chen
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  8. Mas-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-constrained Edge Devices
    MLSys 2025 ·
    Mohammadali Shakerdargah
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  9. MethaneS2CM: A Dataset for Multispectral Deep Methane Emission Detection
    SIGKDD 2025 ·
    Hongxuan Liu
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  10. PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
    AAAI 2025 ·
    Liyao Jiang
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  11. Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
    AAAI 2025 ·
    Keith G. Mills
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  12. Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape
    NeurIPS 2025 ·
    Ruichen Chen
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  13. Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
    ICLR 2024 ·
    Sijia Chen
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  14. Building Optimal Neural Architectures Using Interpretable Knowledge
    CVPR 2024 ·
    Keith G. Mills
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  15. DimReg: Embedding Dimension Search via Regularization for Recommender Systems
    SDM 2024 ·
    Mingjun Zhao
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  16. EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
    ICML 2024 ·
    Shengyao Lu
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  17. GOAt: Explaining Graph Neural Networks via Graph Output Attribution
    ICLR 2024 ·
    Shengyao Lu
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  18. HyperFLoRA: Federated Learning with Instantaneous Personalization
    SDM 2024 ·
    Qikai Lu
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  19. Instruction Fusion: Advancing Prompt Evolution through Hybridization
    ACL 2024 ·
    Weidong Guo
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  20. Learning Truncated Causal History Model for Video Restoration
    NeurIPS 2024 ·
    Amirhosein Ghasemabadi
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  21. PepRec: Progressive Enhancement of Prompting for Recommendation
    EMNLP 2024 ·
    Yakun Yu
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