Yao, Li

13 publications

AAAI 2025 Incomplete Multi-View Clustering via Diffusion Contrastive Generation Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu

NeurIPS 2025 Learning to Plan like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making Tianyuan Jia, Ziyu Li, Qing Li, Xiuxing Li, Xiang Li, Chen Wei, Li Yao, Xia Wu

ICLRW 2025 Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training Shijian Wang, Linxin Song, Jieyu Zhang, Ryotaro Shimizu, Ao Luo, Li Yao, Cunjian Chen, Julian McAuley, Hanqian Wu

AAAI 2024 Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser Qingyuan Cai, Xuecai Hu, Saihui Hou, Li Yao, Yongzhen Huang

CVPR 2024 POPDG: Popular 3D Dance Generation with PopDanceSet Zhenye Luo, Min Ren, Xuecai Hu, Yongzhen Huang, Li Yao

ACML 2022 Nighttime Semantic Segmentation with Unsupervised Learning and Cross Attention Jian Cheng, Yang-Feng Hu, Yu Dai, Xue Qiao, Li Yao, Jun-Yan Yang

WACVW 2019 Novel Activities Detection Algorithm in Extended Videos Li Yao, Ying Qian

ICLR 2016 Delving Deeper into Convolutional Networks for Learning Video Representations Nicolas Ballas, Li Yao, Chris Pal, Aaron C. Courville

ICCV 2015 Describing Videos by Exploiting Temporal Structure Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, Aaron Courville

ICLR 2014 Bounding the Test Log-Likelihood of Generative Models Yoshua Bengio, Li Yao

ICLR 2014 Multimodal Transitions for Generative Stochastic Networks Sherjil Ozair, Li Yao, Yoshua Bengio

ECML-PKDD 2014 On the Equivalence Between Deep NADE and Generative Stochastic Networks Li Yao, Sherjil Ozair, KyungHyun Cho, Yoshua Bengio

NeurIPS 2013 Generalized Denoising Auto-Encoders as Generative Models Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent