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Zhichao Lu

City University of Hong Kong, Department of Computer Science, Kowloon Tong, Hong Kong

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

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Venues

AAAI ×6ACL ×2CVPR ×2ICML ×2ECCV ×1ICCV ×1ICRA ×1NeurIPS ×1PPSN ×1

Frequent coauthors

Bo Xue
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Xu Zhang
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Shihua Huang
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Xun Zhou
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Xichen Xu
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Lianbo Ma
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Ping Guo
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Zhenjie Xu
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Shunyu Yao
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Kaifang Long
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Shuaijie Shen
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Sicheng Zhang
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Papers

  1. Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
    AAAI 2026 ·
    Bo Xue
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  2. CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks
    ACL 2026 ·
    Xu Zhang
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  3. DEIM: DETR with Improved Matching for Fast Convergence
    CVPR 2025 ·
    Shihua Huang
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  4. Design Principle Transfer in Neural Architecture Search via Large Language Models
    AAAI 2025 ·
    Xun Zhou
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  5. FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis
    NeurIPS 2025 ·
    Xichen Xu
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  6. Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
    ICML 2025 ·
    Lianbo Ma
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  7. MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
    CVPR 2025 ·
    Ping Guo
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  8. Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
    AAAI 2025 ·
    Zhenjie Xu
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  9. Multi-Objective Evolution of Heuristic Using Large Language Model
    AAAI 2025 ·
    Shunyu Yao
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  10. Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective
    AAAI 2025 ·
    Kaifang Long
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  11. SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
    AAAI 2025 ·
    Shuaijie Shen
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  12. Trade-Offs in Image Generation: How Do Different Dimensions Interact?
    ICCV 2025 ·
    Sicheng Zhang
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  13. Uncertainty-Guided Enhancement on Driving Perception System Via Foundation Models
    ICRA 2025 ·
    Yunhao Yang
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  14. Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
    ICML 2024 ·
    Fei Liu
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  15. Rethinking Unsupervised Outlier Detection via Multiple Thresholding
    ECCV 2024 ·
    Zhonghang Liu
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  16. Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models
    ACL 2024 ·
    Wenqing Chen
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  17. Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
    PPSN 2024 ·
    Rui Zhang
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