Scholar
Zhongliang Zhou
Google Scholar ID: Lq_tHEsAAAAJ
Merck & Co., Inc
Bioinformatics
Computer Vision
Large Language Models
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
424
H-index
10
i10-index
11
Publications
20
Co-authors
8
list available
Contact
GitHub
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Publications
3 items
DiffusionQC: Artifact Detection in Histopathology via Diffusion Model
2026
Cited
0
Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models
2026
Cited
0
LocDiffusion: Identifying Locations on Earth by Diffusing in the Hilbert Space
2025
Cited
0
Resume (English only)
Academic Achievements
- Publications:
- One paper on backdoor defense accepted by ICLR 2025
- One paper on backdoor detection accepted by TMLR with feature certificate
- One paper on GeoXAI accepted by the International Journal of Geographical Information Science
- One paper on RAG in Pharmaceutical Application accepted by AAAI 2025
- One paper on using LLM and RAG for image geo-localization accepted by SIGIR
- One review paper on Informatic challenges and advances in illuminating the druggable proteome accepted by Drug Discovery Today (IF 7.4)
- One paper on building an explainable model for mapping kinase-substrate interaction accepted by Oxford Bioinformatics (IF 6.931)
- One paper on detecting backdoor from LVM accepted by AAAI 2024 as student abstract
- One paper on fish identification accepted by AJCAI 2023
- Two papers accepted by ICML 2023 workshop, one to be presented as a spotlight presentation
- One paper accepted by Oxford Bioinformatics (IF 6.931)
- Two papers accepted by Briefing in Bioinformatics (IF 13.9)
- Awards:
- Best PhD Dissertation Award by the University of Georgia School of Computing
- 2022 Outstanding Graduate Student award from the University of Georgia Department of Computer Science
Research Experience
- Senior Scientist at Merck & Co., Inc.
- Research Intern at Microsoft Research
Education
- Ph.D. in Computer Science, University of Georgia
- Advisors: Dr. Natarajan Kannan and Dr. Sheng Li
Background
- Research Interests: Interdisciplinary research, Machine Learning, and Deep learning with applications in bioinformatics and computer vision
- Professional Field: Explainable Machine Learning (XAI)
- Introduction: Currently a Senior Scientist at Merck & Co., Inc.
Miscellany
- Personal Interests: Photography, tennis, badminton
- Pets: Two adorable puppies named Juan Mao (卷毛) and Alpha (阿尔法)
Co-authors
8 total
Sheng Li
Quantitative Foundation Associate Professor of Data Science, University of Virginia
Co-author 2
Co-author 3
Co-author 4
Co-author 5
Gengchen Mai
Assistant Professor of GIScience and GeoAI, University of Texas at Austin | Google Research
Lan Mu, Ph.D.
University of Georgia
Ni Lao
Google
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