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Shibo He

10 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AAAI ×2NeurIPS ×2ACL ×1ECAI ×1ECCV ×1ICLR ×1IJCAI ×1WWW ×1

Frequent coauthors

Qihang Zhou
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Keyu Chen
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Aihua Zhu
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Guangyi Liu
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Ming Yang
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Qiyuan Wang
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Chen Liu
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×1
Shiyuan Meng
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×1

Papers

  1. FIRM-MoE: Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference
    AAAI 2026 ·
    Keyu Chen
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  2. Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling
    AAAI 2026 ·
    Aihua Zhu
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  3. LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark
    ACL 2026 ·
    Guangyi Liu
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  4. Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-Calibration and Merit-Discrimination
    ECAI 2025 ·
    Ming Yang
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  5. FairDD: Fair Dataset Distillation
    NeurIPS 2025 ·
    Qihang Zhou
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  6. Unlearning Incentivizes Learning under Privacy Risk
    WWW 2025 ·
    Qiyuan Wang
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  7. AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
    ICLR 2024 ·
    Qihang Zhou
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  8. Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
    IJCAI 2024 ·
    Chen Liu
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  9. MoEAD: A Parameter-Efficient Model for Multi-class Anomaly Detection
    ECCV 2024 ·
    Shiyuan Meng
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  10. PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
    NeurIPS 2024 ·
    Qihang Zhou
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