Wenbo Zhang

Second year Ph.D. student in University of Adelaide
Adelaide, South Australia 5005 Australia
wenbo.zhang01 [at] adelaide.edu.au
Google scholar | Github | X | 小红书

🎓 I’m a second-year Ph.D. student at the Australian Institute for Machine Learning (AIML), University of Adelaide, where I am led by Dr. Lingqiao Liu and Feras Dayoub. Previously, I initially started my Ph.D. under the supervision of the late Prof. Yifan Liu, who kindly supported my academic journey at its beginning. In June 2022, I obtained my master’s degree from Sichuan University, supervised by Prof. Keren Fu. I have also gained valuable industry experience at SenseTime Technology and Shanghai AI Lab.

🔬 I’m interested in Embodied AI. My passion is to create autonomous physical machines and virtual agents that can self-improve through experience and help with daily tasks independently without human in the loop.

Update:
👯 I am currently a research intern at ByteDance Seed (Beijing, China), mentored by Xiao Ma. I welcome academic discussions and potential collaborations!

Selected papers

  1. Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
    Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation
    Wenbo Zhang , Tianrun Hu, Yanyuan Qiao, Hanbo Zhang, Yuchu Qin, Yang Li, Jiajun Liu, Tao Kong, Lingqiao Liu, and Xiao Ma
    NeurIPS 2025 | [ arXiv Code Website ]
  2. Effective Tuning Strategies for Generalist Robot Manipulation Policies
    Effective Tuning Strategies for Generalist Robot Manipulation Policies
    Wenbo Zhang , Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, and Lingqiao Liu
    ICRA 2025 | [ arXiv ]
  3. Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi
    Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi
    Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang , Yuqi Lin, Shuo Liu, and others
    ICLR 2024 | [ arXiv Code ]
  4. Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
    Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
    Wenbo Zhang , Keren Fu, Zhuo Wang, Ge-Peng Ji, and Qijun Zhao
    Preprint 2022 | [ arXiv Code ]
  5. Depth quality-inspired feature manipulation for efficient RGB-D salient object detection
    Depth quality-inspired feature manipulation for efficient RGB-D salient object detection
    Wenbo Zhang , Ge-Peng Ji, Zhuo Wang, Keren Fu, and Qijun Zhao
    ACM MM 2021 | [ arXiv Code Zhihu ]
  6. BTS-Net: Bi-directional Transfer-and-Selection Network for RGB-D Salient Object Detection
    BTS-Net: Bi-directional Transfer-and-Selection Network for RGB-D Salient Object Detection
    Wenbo Zhang , Yao Jiang, Keren Fu, and Qijun Zhao
    ICME 2021 | [ arXiv Code ]

Awards and Scholarships

Academic Service & Activities

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