Publications

(*) denotes equal contribution.

2026

  1. VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
    VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
    Chaoyang Wang,  Wenrui Bao,  Sicheng Gao,  Bingxin Xu,  Yu Tian,  Yogesh S Rawat,  Yunhao Ge,  and Yuzhang Shang
    arXiv 202603 PDF
    2026
  2. SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
    SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
    Bingxin Xu,  Yuzhang Shang,  Binghui Wang,  and Emilio Ferrara
    ACL Findings 2026 PDF
    2026

2025

  1. LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
    LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
    Bingxin Xu*,  Yuzhang Shang*,  Mu Cai*,  Yong Jae Lee,  and Yan Yan
    ICCV 2025 GitHub stars PDF
    2025
  2. ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms
    ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms
    Bingxin Xu,  Zhen Dong,  Oussama Elachqar,  and Yuzhang Shang
    arXiv 202509 PDF
    2025

2024

  1. E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling
    E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling
    Zhihang Yuan,  Yuzhang Shang,  Hanling Zhang,  Tongcheng Fang,  Rui Xie,  Bingxin Xu,  Yan Yan,  Shengen Yan,  Guohao Dai,  and Yu Wang
    arXiv 202412 PDF
    2024
  2. freePruner: A Training-free Approach for Large Multimodal Model Acceleration
    freePruner: A Training-free Approach for Large Multimodal Model Acceleration
    Bingxin Xu,  Yuzhang Shang,  Yunhao Ge,  Qian Lou,  and Yan Yan
    arXiv 202411 PDF
    2024
  3. Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner
    Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner
    Bingxin Xu*,  Yuzhang Shang*,  Weitai Kang,  Mu Cai,  Yuheng Li,  Zehao Wen,  Zhen Dong,  Kurt Keutzer,  Yong Jae Lee,  and Yan Yan
    arXiv 202409 PDF
    2024

2023

  1. Causal-DFQ: Causality Guided Data-Free Network Quantization
    Causal-DFQ: Causality Guided Data-Free Network Quantization
    Yuzhang Shang,  Bingxin Xu,  Gaowen Liu,  Ramana Rao Kompella,  and Yan Yan
    ICCV 2023 GitHub stars PDF
    2023