Yizhou Yu
researcher (ORCID 0000-0002-0470-5548)
Facts
8 properties- Instance of
- human
- Occupation
- researcher
- Educated at
- University of California, Berkeley (?–2000), University of California, Berkeley[2][3]
- Award received
- ACM Distinguished Member, ACM Fellow[5][6]
- Doctoral advisor
- Jitendra Malik[4]
- Imported from
- wholeness_audit_2026-05-02
- Member of
- Association for Computing Machinery (2023–present)[7]
🏷️ Also known as
en Yizhou Yu
zh 俞益洲
🔖 Identifiers · 8
- ORCID iD
- 0000-0002-0470-5548
- OpenAlex ID
- A5108557359, A5012421175as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- ACM Digital Library author ID
- 81100472713
- Google Scholar author ID
- e38fTZQAAAAJ
- IEEE Xplore author ID
- 37088665157
- Mathematics Genealogy Project ID
- 70171
- ResearcherID
- F-3345-2010
- Scopus author ID
- 8554163500
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 122
A Causal Debiasing Framework for Unsupervised Salient Object Detection,
A Causal Inference Look at Unsupervised Video Anomaly Detection,
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection,
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation,
A deep learning algorithm to improve readers’ interpretation and speed of pancreatic cystic lesions on dual-phase enhanced CT,
A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study,
A deep learning model for prediction of post hepatectomy liver failure after hemihepatectomy using preoperative contrast-enhanced computed tomography: a retrospective study,
Advances in Deep Learning-Based Medical Image Analysis
+114 more
← Authored by 122
A Causal Debiasing Framework for Unsupervised Salient Object Detection,
A Causal Inference Look at Unsupervised Video Anomaly Detection,
Act Like a Radiologist: Towards Reliable Multi-View Correspondence Reasoning for Mammogram Mass Detection,
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation,
A deep learning algorithm to improve readers’ interpretation and speed of pancreatic cystic lesions on dual-phase enhanced CT,
A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study,
A deep learning model for prediction of post hepatectomy liver failure after hemihepatectomy using preoperative contrast-enhanced computed tomography: a retrospective study,
Advances in Deep Learning-Based Medical Image Analysis
+114 more
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Summary
Yizhou Yu worked as a researcher[1].
Body
Education
Educated at University of California, Berkeley[2], a public research university[9], in United States[10], founded in 1868[11], headquartered in Berkeley[12].
Recognition
Awards received include ACM Distinguished Member[5], a science award[13] and ACM Fellow[6], a fellowship award[14].
FAQs
What did Yizhou Yu do for work?
Yizhou Yu worked as researcher[1].
Where did Yizhou Yu go to school?
Yizhou Yu was educated at University of California, Berkeley[2] and University of California, Berkeley[3].
What awards did Yizhou Yu receive?
Honors received include ACM Distinguished Member[5] and ACM Fellow[6].