no code implementations • 18 Mar 2024 • Junyi Fan, Yuxuan Han, Jialin Zeng, Jian-Feng Cai, Yang Wang, Yang Xiang, Jiheng Zhang
Up to a logarithmic dependence on the size of the state space, Lin-Confident-FTRL learns $\epsilon$-CCE with a provable optimal accuracy bound $O(\epsilon^{-2})$ and gets rids of the linear dependency on the action space, while scaling polynomially with relevant problem parameters (such as the number of agents and time horizon).
1 code implementation • 14 Feb 2024 • Xiuzhong Hu, Guangming Xiong, Zheng Zang, Peng Jia, Yuxuan Han, Junyi Ma
With extensive experiments, PC-NeRF is proven to achieve high-precision novel LiDAR view synthesis and 3D reconstruction in large-scale scenes.
1 code implementation • 6 Dec 2023 • Yuxuan Han, Junfeng Lyu, Feng Xu
Facial geometry and appearance capture have demonstrated tremendous success in 3D scanning real humans in studios.
1 code implementation • 2 Oct 2023 • Xiuzhong Hu, Guangming Xiong, Zheng Zang, Peng Jia, Yuxuan Han, Junyi Ma
Reconstructing large-scale 3D scenes is essential for autonomous vehicles, especially when partial sensor data is lost.
1 code implementation • CVPR 2023 • Yuxuan Han, Zhibo Wang, Feng Xu
This paper proposes the first 3D morphable face reflectance model with spatially varying BRDF using only low-cost publicly-available data.
1 code implementation • 21 Oct 2022 • Yuxuan Han, Jialin Zeng, Yang Wang, Yang Xiang, Jiheng Zhang
We study the stochastic contextual bandit with knapsacks (CBwK) problem, where each action, taken upon a context, not only leads to a random reward but also costs a random resource consumption in a vector form.
1 code implementation • 16 Jun 2022 • Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan YAO, Jiheng Zhang
To address such a challenge as the online convex optimization with privacy protection, we propose a private variant of online Frank-Wolfe algorithm with recursive gradients for variance reduction to update and reveal the parameters upon each data.
1 code implementation • 24 May 2022 • Yuxuan Han, Ruicheng Wang, Jiaolong Yang
This paper deals with the challenging task of synthesizing novel views for in-the-wild photographs.
no code implementations • 16 Apr 2022 • Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang
In this paper, we propose a general framework to solve the above two challenges simultaneously.
1 code implementation • NeurIPS 2021 • Yuxuan Han, Zhipeng Liang, Yang Wang, Jiheng Zhang
In this paper, we design LDP algorithms for stochastic generalized linear bandits to achieve the same regret bound as in non-privacy settings.
1 code implementation • 26 May 2021 • Yuxuan Han, Jiaolong Yang, Ying Fu
We further propose a Disentanglement-Transformation (DT) metric to quantify the attribute transformation and disentanglement efficacy and find the optimal control factor between attribute-level and instance-specific directions based on it.
no code implementations • 6 Sep 2020 • Qing Ye, Yuxuan Han, Yanan sun, Jiancheng Lv
Synchronous methods are widely used in distributed training the Deep Neural Networks (DNNs).