Dong Xingbo

Dong Xingbo

Associate Professor

About me

I am currently an Associate Professor at Anhui University, Hefei, China, and also affiliated as a Researcher/PI with Tian-Hai Flow Control Co., LTD. Previously, I was a Postdoctoral Researcher at Yonsei University, Seoul, Korea, under the supervision of Prof. Andrew Teoh. My research there was funded by the South Korea Brain Pool (BP) Program, and my research at Monash was funded by the MARIE SKŁODOWSKA-CURIE Fellowship. I am proud to be a BP and MSCA fellowship awardee. My research expertise lies in image processing (both medical and natural), deep learning, computer vision, pattern recognition, and privacy protection.

I earned my Ph.D. degree from the Faculty of Information Technology, Monash University, and my B.Sc. degree with the National Training Base for Life Science and Technology Talents program at Huazhong Agricultural University. I was briefly enrolled as a Ph.D. student in molecular metabolism at Virginia Tech, USA. Since 2024, I have been a Editor/Guest Editor for several SCI journals and have served as an Area Chair (AC) for BMVC. Please feel free to use my Public PGP Key when you email me if you are interested in privacy protection.

I am proudly a participant in a charity project called 蓝信封行动 (Blue Letter Project), which supports children left behind in rural areas💖💖. I was interviewed about my involvement, and you can read the interview here.

Join Us!

👉 欢迎同学报考硕士研究生，申请博士研究生！一起探索 AI 的无限可能!博士综合待遇保底5000/月。金哲教授联合培养。所有硕博生课题组可视情况额外补助，顶级科研成果奖励另算。欢迎同学提前联系！（微信:xdongcs）

我们的四大核心研究方向 (Research Pillars)

mindmap
  root((我们))
    Security(🛡️ AI 安全与隐私)
      Cancelable_Biometrics(可撤销生物识别)
      Privacy_Preserving(隐私保护计算)
      Adversarial_Defense(对抗防御)
    Vision(👁️ AI 视觉增强)
      Low_Light(暗光增强<br/>Rawformer)
      Restoration(图像复原)
      Super-resolution(超分)
    Medical(🏥 AI 智慧医疗)
      Ultrasound(超声影像分析)
      PET/MRI(影像分析)
      Domain_Adaptation(域适应学习)
    Brain(🧠 AI 大脑与智能体)
      MLLM(多模态大模型)
      Agents(自主智能体)
      AIGC(生成式 AI)

💡 为什么选择我们？

  1. 可呈现的论文成果：我们在 CVPR, ICCV, TIFS等顶级会议和期刊上发表多篇高水平论文，访问谷歌学术查看详细论文列表。
  2. 不放养：会手把手指导你发表第一篇顶会！绝对不放养。也欢迎和支持有独立能力成员开展独立研究，绝不瞎指导。
  3. 给一作：对有志于深造的同学的authorship，优先一作,积极支持同学的学术生涯发展。
  4. 有奖励：达成顶级成果有奖励，并且逐年提高奖励金额。
  5. 硬核：从底层算法架构设计到具体的医疗/安全应用，既有理论深度，又有应用广度。
  6. 有趣：与其做一个无情的调参机器，不如来做保护隐私的黑客克星，或者辅助医生的 AI 专家，或者智能体的构建者！
  7. 好就业：团队往届优秀毕业生就业于：头部985/欧美名校读博、组内读博、哔哩哔哩/科大讯飞研究院人才计划/中国人寿/比亚迪等高新企业、安徽工业经济职业技术学院等。薪资高达40W+。
  8. 好沟通：随时可以和老师沟通，一切皆可商量讨论。