Xiao, Liang

7 publications

ICLR 2026 FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels Jiedong Jiang, Wanyi He, Wang Yuefeng, Guoxiong Gao, Yongle Hu, Jingting Wang, Nailin Guan, Peihao Wu, Bryan Dai, Liang Xiao, Bin Dong

NeurIPS 2025 An Effective Levelling Paradigm for Unlabeled Scenarios Fangming Cui, Zhou Yu, Di Yang, Yuqiang Ren, Liang Xiao, Xinmei Tian

CVPR 2025 An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models Wentao Qu, Jing Wang, YongShun Gong, Xiaoshui Huang, Liang Xiao

CVPR 2024 A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, Liang Xiao

CVPR 2024 DriveWorld: 4D Pre-Trained Scene Understanding via World Models for Autonomous Driving Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu, Zheng Zhu, Lei Jin, Jianshu Li, Yulan Guo, Junliang Xing, Liping Jing, Yiming Nie, Bin Dai

ECCV 2022 Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao

NeurIPS 2017 Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning Zhen He, Shaobing Gao, Liang Xiao, Daxue Liu, Hangen He, David Barber