Yu, Shan

9 publications

AAAI 2025 Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder Yuhan Zhang, Guoqing Ma, Guangfu Hao, Liangxuan Guo, Yang Chen, Shan Yu

AAAI 2025 Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis Yu Zhu, Bo Lei, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang

ICML 2025 Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment Yu Zhu, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang

AAAI 2024 Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding Zhiqiang Chen, Yang Chen, Xiaolong Zou, Shan Yu

NeurIPS 2024 Learning from Pattern Completion: Self-Supervised Controllable Generation Zhiqiang Chen, Guofan Fan, Jinying Gao, Lei Ma, Bo Lei, Tiejun Huang, Shan Yu

JMLR 2024 Nonparametric Regression for 3D Point Cloud Learning Xinyi Li, Shan Yu, Yueying Wang, Guannan Wang, Li Wang, Ming-Jun Lai

NeurIPS 2024 Retrospective for the Dynamic Sensorium Competition for Predicting Large-Scale Mouse Primary Visual Cortex Activity from Videos Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin F. Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie L. Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker

CVPR 2022 BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster Jason Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song

AAAI 2021 DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning Bo Cui, Guyue Hu, Shan Yu