Scholar
Zizhao Zhang
Google Scholar ID: lGrbH60AAAAJ
Google DeepMind
Citations & Impact
Citations
22,843
H-index
35
i10-index
48
Publications
20
Co-authors
21
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - [ArXiv'25] Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities
- - [ACL'25] SkillVerse - Assessing and Enhancing LLMs with Tree Evaluation
- - [ArXiv'24] Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- - [NAACL'24] CodecLM: Aligning Language Models with Tailored Synthetic Data
- - [ArXiv'23] Gemini: a family of highly capable multimodal models
- - [ACL'23] QueryForm: A Simple Zero-shot Form Entity Query Framework
- - [ECCV'22] DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning
- - [ECCV'22] Learning Instance-Specific Adaptation for Cross-Domain Segmentation
- - [CVPR'22] Learning to Prompt for Continual Learning
- - [AAAI'22] Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
- - [AAAI'22] Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
- - [NeurIPS'21] Improved Transformer for High-Resolution GANs
- - [ICCV'21] Learning Fast Sample Re-weighting Without Reward Data
- - [ICLR'21] PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
- - [AAAI'21] Improved Consistency Regularization for GANs
- - [NeurIPS'20] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
- - [ECCV'20] Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
- - [CVPR'20] Distilling Effective Supervision from Severe Label Noise
- - [ICLR'20] Consistency Regularization for Generative Adversarial Networks
- - [ICLR'20] Distance-Based Learning from Errors for Confidence Calibration
- - [Before 2020] Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Research Experience
- - Worked at Siemens Research
- - Worked at Facebook AI Research (FAIR)
- - Currently working on research and development for Gemini at Google
Education
- Completed PhD since 2019.
Background
- Research interests: Computer vision and deep learning, especially their applications in medical imaging and healthcare. Currently doing research and development for Gemini at Google.
Miscellany
- Personal interests and hobbies not mentioned
