基本信息
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Bio
Shiyu Chang is an Assistant Professor at UC Santa Barbara. His research focuses on machine learning and its applications in computer vision and natural language processing.
Most recently, he has been studying how machine predictions can be made more interpretable to humans and how human intuition and rationalization can improve AI transferability, data efficiency, and adversarial robustness.
Chang's research focuses on machine learning and its applications in natural language processing and computer vision. Most recently, he has been studying how machine predictions can be made more interpretable to humans and how human intuition and rationalization can improve AI transferability, data efficiency, and adversarial robustness.
Most recently, he has been studying how machine predictions can be made more interpretable to humans and how human intuition and rationalization can improve AI transferability, data efficiency, and adversarial robustness.
Chang's research focuses on machine learning and its applications in natural language processing and computer vision. Most recently, he has been studying how machine predictions can be made more interpretable to humans and how human intuition and rationalization can improve AI transferability, data efficiency, and adversarial robustness.
Research Interests
Papers共 184 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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ICML 2024 (2024)
Jiabao Ji,Bairu Hou,Zhen Zhang,Guanhua Zhang,Wenqi Fan, Qing Li,Yang Zhang, Gaowen Liu,Sijia Liu,Shiyu Chang
CoRR (2024)
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arxiv(2024)
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2023 IEEE/CVF International Conference on Computer Vision (ICCV) (2023): 7732-7742
Yimeng Zhang, Akshay Karkal Kamath,Qiucheng Wu,Zhiwen Fan,Wuyang Chen,Zhangyang Wang,Shiyu Chang,Sijia Liu,Cong Hao
ASP-DACpp.745-750, (2023)
CoRR (2023)
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