PPaperPicks

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

DBLP profile ↗ORCID 0000-0002-7165-3143 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Yi Chang
×10
Huan Xiong
×9
Giulia De Masi
×6
Hualin Zhang
×5
Haozhen Zhang
×5
Hong Chen
×5
William de Vazelhes
×5
Ganyu Wang
×4
Bhaskar Mukhoty
×4
Wanli Shi
×4
Velibor Bojkovic
×4
Zhaogeng Liu
×3

Papers

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