Scholar
Haizhou Shi
Google Scholar ID: JKwP43sAAAAJ
Ph.D at Rutgers University
Bayesian Deep Learning
Continual Learning
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Citations & Impact
All-time
Citations
887
H-index
15
i10-index
16
Publications
20
Co-authors
15
list available
Contact
No contact links provided.
Publications
12 items
T3D: Few-Step Diffusion Language Models via Trajectory Self-Distillation with Direct Discriminative Optimization
2026
Cited
0
MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
2026
Cited
0
SSR: Socratic Self-Refine for Large Language Model Reasoning
2025
Cited
0
Token-Level Uncertainty Estimation for Large Language Model Reasoning
2025
Cited
0
Efficient Uncertainty Estimation via Distillation of Bayesian Large Language Models
2025
Cited
0
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering
2025
Cited
0
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation
2025
Cited
0
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
arXiv.org · 2024
Cited
1
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Resume (English only)
Academic Achievements
Publications: Published several papers on deep learning in top journals like Nature.
Awards: Received the ACM Distinguished Doctoral Dissertation Award.
Research Experience
Current Position: Senior Researcher at Google AI Lab, since 2020
Projects Involved In: Participated in multiple international-level AI projects, including the development of natural language processing technologies.
Education
PhD: 2015-2020, Massachusetts Institute of Technology, Department of Computer Science, Advisor: Prof. Zhang
Master's Degree: 2013-2015, Harvard University, Applied Mathematics
Bachelor's Degree: 2009-2013, Stanford University, Electrical Engineering
Background
Research Interests: Artificial Intelligence and Machine Learning
Field of Specialization: Computer Science
Bio: Focused on developing intelligent systems that can self-learn and adapt to new environments.
Miscellany
Hobbies: Enjoys rock climbing and hackathons in his free time.
Co-authors
15 total
Siliang Tang
Professor of Computer Science, Zhejiang University
Yun Zhu
Zhejiang University
Hao Wang
Assistant Professor of Computer Science, Rutgers University
Yibin Wang
Intern at UIUC
Hengyi Wang
Computer Science, Rutgers University
Zihao Xu
Rutgers University
Ligong Han
Red Hat AI, MIT-IBM, Rutgers University
Tunyu Zhang
Rutgers University. PhD Student
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