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Bin Gu

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE

35 papers at tracked venues · 27 at CORE A* · active 2024–2025

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Venues

ICLR ×10AAAI ×6ICML ×5AISTATS ×3SIGKDD ×3ECCV ×2IJCAI ×2NeurIPS ×2CVPR ×1NAACL ×1

Frequent coauthors

Tianxing Man
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Jun Chen
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Ganyu Wang
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Bhaskar Mukhoty
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Haozhen Zhang
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William de Vazelhes
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Velibor Bojkovic
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Nan Yin
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Haiyan Jiang
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Yasser Ashraf
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Hualin Zhang
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Zhaogeng Liu
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Papers

  1. Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
    NeurIPS 2025 ·
    Tianxing Man
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  2. Arabic Dataset for LLM Safeguard Evaluation
    NAACL 2025 ·
    Yasser Ashraf
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  3. Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
    ICLR 2025 ·
    Hualin Zhang
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  4. Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces
    SIGKDD 2025 ·
    Tianxing Man
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  5. Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
    AAAI 2025 ·
    Jun Chen
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  6. Event-Driven Online Vertical Federated Learning
    ICLR 2025 ·
    Ganyu Wang
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  7. FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
    ICML 2025 ·
    Ganyu Wang
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  8. Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
    ICLR 2025 ·
    Bhaskar Mukhoty
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  9. Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization
    AAAI 2025 ·
    Haozhen Zhang
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  10. Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
    ICML 2025 ·
    William de Vazelhes
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  11. Query Efficient Black-Box Visual Prompting with Subspace Learning
    CVPR 2025 ·
    Zhaogeng Liu
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  12. Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons
    ICML 2025 ·
    Velibor Bojkovic
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  13. Asynchronous Vertical Federated Learning for Kernelized AUC Maximization
    SIGKDD 2024 ·
    Ke Zhang
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  14. Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
    ICLR 2024 ·
    Bhaskar Mukhoty
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  15. DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
    ICLR 2024 ·
    Nan Yin
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  16. Data Driven Threshold and Potential Initialization for Spiking Neural Networks
    AISTATS 2024 ·
    Velibor Bojkovic
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  17. Double Momentum Method for Lower-Level Constrained Bilevel Optimization
    ICML 2024 ·
    Wanli Shi
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  18. Dynamic Spiking Graph Neural Networks
    AAAI 2024 ·
    Nan Yin
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  19. Enhancing Training of Spiking Neural Network with Stochastic Latency
    AAAI 2024 ·
    Srinivas Anumasa
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  20. Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data
    ECCV 2024 ·
    Yanmeng Yao
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  21. FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion
    ECCV 2024 ·
    Xiaofeng Wu
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  22. Fast and Adversarial Robust Kernelized SDU Learning
    AISTATS 2024 ·
    Yajing Fan
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  23. Federated Causal Discovery from Heterogeneous Data
    ICLR 2024 ·
    Loka Li
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  24. Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
    IJCAI 2024 ·
    Xuelin Zhang
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  25. General Stability Analysis for Zeroth-Order Optimization Algorithms
    ICLR 2024 ·
    Xinyue Liu
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  26. Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
    IJCAI 2024 ·
    Chengqian Gao
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  27. How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
    NeurIPS 2024 ·
    Jun Chen
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  28. Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
    AAAI 2024 ·
    William de Vazelhes
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  29. Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
    ICLR 2024 ·
    Diyang Li
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  30. Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization
    AISTATS 2024 ·
    Zhou Zhai
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  31. Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
    AAAI 2024 ·
    Hilal AlQuabeh
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  32. NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks
    ICML 2024 ·
    Haiyan Jiang
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  33. New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
    ICLR 2024 ·
    Xinzhe Yuan
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  34. Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization
    SIGKDD 2024 ·
    Haozhen Zhang
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  35. TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
    ICLR 2024 ·
    Haiyan Jiang
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