Scholar
Hao Yang
Google Scholar ID: Y-I1X9QAAAAJ
Amazon AGI
Citations & Impact
Citations
1,007
H-index
15
i10-index
16
Publications
20
Co-authors
46
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Contributed to several significant research projects and published numerous academic papers, including but not limited to: 'Scaling up Image Segmentation across Data and Tasks' (CVPR 2025), 'THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models' (CVPR 2024), 'Your representations are in the network: composable and parallel adaptation for large scale models' (NeuRIPS 2023).
Research Experience
- Published multiple papers in top-tier conferences such as CVPR, ECCV, ICCV, and NeurIPS before joining Amazon, covering a wide range of topics from object detection to multi-modal learning.
Education
- Received Ph.D. from Nanyang Technological University (NTU), Singapore in 2016, supervised by Prof. Jianxin Wu and Prof. Jianfei Cai; BSc from Shanghai Jiao Tong University (SJTU), China, in 2011.
Background
- Currently a Principal Applied Scientist at Amazon, focusing on building foundation multi-modal models. Interested in machine learning, kernel learning, multi-instance learning, multi-label learning, semi-supervised learning, unsupervised learning, deep learning, computer vision, image/scene recognition, object detection/segmentation, multi-object recognition, and multi-modal foundation models.
Miscellany
- Email: Lancelot365 AT {gmail.com}.
