Scholar
Yulu Gan
Google Scholar ID: hQ-J_eAAAAAJ
PhD student, MIT
Computer Vision
Machine Learning
Natural Language Processing
Neuroscience
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
321
H-index
7
i10-index
6
Publications
17
Co-authors
13
list available
Contact
Email
yulu_gan@mit.edu
CV
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Twitter
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GitHub
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Publications
7 items
Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
2026
Cited
0
FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos
2025
Cited
0
HugAgent: Evaluating LLMs in Simulating Human-Like Individual Reasoning on Open-Ended Tasks
2025
Cited
0
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
2025
Cited
0
Position: Simulating Society Requires Simulating Thought
2025
Cited
0
Self-Assembly of a Biologically Plausible Learning Circuit
2024
Cited
0
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning
2024
Cited
0
Resume (English only)
Academic Achievements
Published a paper on arXiv about using evolutionary strategies to improve reasoning in large language models.
Research Experience
Latest Research: A new paper on evolutionary strategies for LLM reasoning.
Education
Degree: PhD; School: Massachusetts Institute of Technology (MIT); Major: Computer Science; Advisors: Tomaso Poggio, Phillip Isola.
Background
A second-year Computer Science PhD student at MIT, studying AI and Science.
Miscellany
Interested in exploring how nature’s evolutionary processes can inspire better AI systems.
Co-authors
13 total
Shanghang Zhang
Peking University
Mingjie Pan
Peking University
Jiaxin Ge
UC Berkeley
TOMASO POGGIO
McDermott Professor in Brain Sciences, MIT
Co-author 5
Brian Cheung
Fellow at MIT, UC Berkeley
liu ziyin
MIT, NTT Research
Co-author 8
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