Scholar
Yulu Gan
Google Scholar ID: hQ-J_eAAAAAJ
PhD student, MIT
Computer Vision
Machine Learning
Natural Language Processing
Neuroscience
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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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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
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
11 total
Shanghang Zhang
Peking University
Mingjie Pan
Peking University
Jiaxin Ge
UC Berkeley
TOMASO POGGIO
McDermott Professor in Brain Sciences, MIT
Brian Cheung
Fellow at MIT, UC Berkeley
liu ziyin
MIT, NTT Research
Kaiya Ivy Zhao
MIT
Phillip Isola
Associate Professor, MIT