Yulu Gan

According to our database, Yulu Gan authored at least 22 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights.

Yulu Gan, Phillip Isola

CoRR, March, 2026

2025

FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos.

Yulu Gan, Ligeng Zhu, Dandan Shan, Baifeng Shi, Hongxu Yin, Boris Ivanovic, Song Han, Trevor Darrell, Jitendra Malik, Marco Pavone, Boyi Li

CoRR, December, 2025

HugAgent: Evaluating LLMs in Simulating Individual-Level Human Reasoning on Open-Ended Tasks.

Chance Jiajie Li, Zhenze Mo, Yuhan Tang, Ao Qu, Jiayi Wu, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Hang Jiang, Paul Liang, Jinhua Zhao, Luis Alberto Alonso Pastor, Kent Larson

CoRR, October, 2025

Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning.

Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Elliot Meyerson, Babak Hodjat, Risto Miikkulainen

CoRR, September, 2025

Position: Simulating Society Requires Simulating Thought.

Chance Jiajie Li, Jiayi Wu, Zhenze Mo, Ao Qu, Yuhan Tang, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Jinhua Zhao, Paul Liang, Luis Alonso, Kent Larson

CoRR, June, 2025

SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning.

Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Self-Assembly of a Biologically Plausible Learning Circuit.

Qianli Liao, Liu Ziyin, Yulu Gan, Brian Cheung, Mark Harnett, Tomaso A. Poggio

CoRR, 2024

Discovering Long-Term Effects on Parameter Efficient Fine-tuning.

Gaole Dai, Yiming Tang, Chunkai Fan, Qizhe Zhang, Zhi Zhang, Yulu Gan, Chengqing Zeng, Shanghang Zhang, Tiejun Huang

CoRR, 2024

On the Power of Decision Trees in Auto-Regressive Language Modeling.

Yulu Gan, Tomer Galanti, Tomaso A. Poggio, Eran Malach

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting.

Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists.

Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Decouple Content and Motion for Conditional Image-to-Video Generation.

Cuifeng Shen, Yulu Gan, Chen Chen, Xiongwei Zhu, Lele Cheng, Tingting Gao, Jinzhi Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Decouple Content and Motion for Conditional Image-to-Video Generation.

Cuifeng Shen, Yulu Gan, Chen Chen, Xiongwei Zhu, Lele Cheng, Jinzhi Wang

CoRR, 2023

DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images.

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li

CoRR, 2023

Chain of Thought Prompt Tuning in Vision Language Models.

Jiaxin Ge, Hongyin Luo, Siyuan Qian, Yulu Gan, Jie Fu, Shanghang Zhang

CoRR, 2023

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang

CoRR, 2023

DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images.

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World.

Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology.

Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation.

Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, Lin Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2014

Dynamic modeling, analysis and evaluate of safeguard strength on emergency.

Dong Fan, Yan Li, Yulu Gan, Jin Yin

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, 2014