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Yulu Gan
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2020 – today
- 2025
[c11]Gaole Dai, Chun-Kai Fan, Yiming Tang, Zhi Zhang, Yuan Zhang, Yulu Gan, Qizhe Zhang, Cheng-Ching Tseng, Shanghang Zhang, Tiejun Huang:
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning. ICML 2025
[i16]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:
Position: Simulating Society Requires Simulating Thought. CoRR abs/2506.06958 (2025)
[i15]Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Elliot Meyerson, Babak Hodjat, Risto Miikkulainen:
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning. CoRR abs/2509.24372 (2025)
[i14]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:
HugAgent: Evaluating LLMs in Simulating Individual-Level Human Reasoning on Open-Ended Tasks. CoRR abs/2510.15144 (2025)
[i13]Yulu Gan, Ligeng Zhu, Dandan Shan, Baifeng Shi, Hongxu Yin, Boris Ivanovic, Song Han, Trevor Darrell, Jitendra Malik, Marco Pavone, Boyi Li:
FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos. CoRR abs/2512.10927 (2025)- 2024
[c10]Cuifeng Shen, Yulu Gan, Chen Chen, Xiongwei Zhu, Lele Cheng, Tingting Gao, Jinzhi Wang:
Decouple Content and Motion for Conditional Image-to-Video Generation. AAAI 2024: 4757-4765
[c9]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang:
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. AAAI 2024: 16334-16342
[c8]Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa:
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. ICLR 2024
[c7]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. ICML 2024: 7568-7585
[c6]Yulu Gan, Tomer Galanti, Tomaso A. Poggio, Eran Malach:
On the Power of Decision Trees in Auto-Regressive Language Modeling. NeurIPS 2024
[i12]Gaole Dai, Yiming Tang, Chunkai Fan, Qizhe Zhang, Zhi Zhang, Yulu Gan, Chengqing Zeng, Shanghang Zhang, Tiejun Huang:
Discovering Long-Term Effects on Parameter Efficient Fine-tuning. CoRR abs/2409.06706 (2024)
[i11]Yulu Gan, Tomer Galanti, Tomaso A. Poggio, Eran Malach:
On the Power of Decision Trees in Auto-Regressive Language Modeling. CoRR abs/2409.19150 (2024)
[i10]Qianli Liao, Liu Ziyin, Yulu Gan, Brian Cheung, Mark Harnett, Tomaso A. Poggio:
Self-Assembly of a Biologically Plausible Learning Circuit. CoRR abs/2412.20018 (2024)- 2023
[c5]Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, Lin Luo:
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation. AAAI 2023: 7595-7603
[c4]Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo:
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. BIBM 2023: 1144-1149
[c3]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World. CVPR 2023: 12157-12166
[c2]Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images. MICCAI (10) 2023: 323-332
[i9]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang:
Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. CoRR abs/2303.09792 (2023)
[i8]Jiaxin Ge, Hongyin Luo, Siyuan Qian, Yulu Gan, Jie Fu, Shanghang Zhang:
Chain of Thought Prompt Tuning in Vision Language Models. CoRR abs/2304.07919 (2023)
[i7]Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images. CoRR abs/2306.12109 (2023)
[i6]Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa:
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. CoRR abs/2310.00390 (2023)
[i5]Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo:
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. CoRR abs/2310.20427 (2023)
[i4]Cuifeng Shen, Yulu Gan, Chen Chen, Xiongwei Zhu, Lele Cheng, Jinzhi Wang:
Decouple Content and Motion for Conditional Image-to-Video Generation. CoRR abs/2311.14294 (2023)
[i3]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR abs/2312.09148 (2023)- 2022
[i2]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world. CoRR abs/2212.00972 (2022)
[i1]Yulu Gan, Xianzheng Ma, Yihang Lou, Yan Bai, Renrui Zhang, Nian Shi, Lin Luo:
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation. CoRR abs/2212.04145 (2022)
2010 – 2019
Coauthor Index

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