Zobrazeno 1 - 10
of 57 159
pro vyhledávání: '"Liu,Jian"'
Autor:
Liu, Jian-Guo, Wang, Yuliang
In many real-world scenarios, the underlying random fluctuations are non-Gaussian, particularly in contexts where heavy-tailed data distributions arise. A typical example of such non-Gaussian phenomena calls for L\'evy noise, which accommodates jumps
Externí odkaz:
http://arxiv.org/abs/2412.06291
The neural radiance field (NERF) advocates learning the continuous representation of 3D geometry through a multilayer perceptron (MLP). By integrating this into a generative model, the generative neural radiance field (GRAF) is capable of producing i
Externí odkaz:
http://arxiv.org/abs/2412.00754
Graph clustering is an unsupervised machine learning method that partitions the nodes in a graph into different groups. Despite achieving significant progress in exploiting both attributed and structured data information, graph clustering methods oft
Externí odkaz:
http://arxiv.org/abs/2411.12329
Autor:
Zhang, Shuo, Liu, Jian K.
Protein language models (PLMs) are capable of learning the relationships between protein sequences and functions by treating amino acid sequences as textual data in a self-supervised manner. However, fine-tuning these models typically demands substan
Externí odkaz:
http://arxiv.org/abs/2411.11530
Autor:
Ren, Kui, Yang, Ziqi, Lu, Li, Liu, Jian, Li, Yiming, Wan, Jie, Zhao, Xiaodi, Feng, Xianheng, Shao, Shuo
The rapid advancement of AI technology, particularly in generating AI-generated content (AIGC), has transformed numerous fields, e.g., art video generation, but also brings new risks, including the misuse of AI for misinformation and intellectual pro
Externí odkaz:
http://arxiv.org/abs/2411.11478
Autor:
Guo, Xiang-Fei, Liu, Jian-Wei, Chen, Hong-Xiang, Shi, Fu-Long, Chen, Xiao-Dong, Dong, Jian-Wen
Research on two-dimensional van der Waals materials has demonstrated that the layer degree of freedom can significantly alter the physical properties of materials due to the substantial modification of bulk bands. Inspired by this concept, layered ph
Externí odkaz:
http://arxiv.org/abs/2411.11381
The quantum hybrid algorithm has become a very promising and speedily method today for solving the larger-scale optimization in the noisy intermediate-scale quantum (NISQ) era. The unit commitment (UC) problem is a fundamental problem in the power sy
Externí odkaz:
http://arxiv.org/abs/2411.11369
Autor:
Wang, Jinhong, Liu, Jian, Tang, Dongqi, Wang, Weiqiang, Li, Wentong, Chen, Danny, Chen, Jintai, Wu, Jian
This paper shows that the autoregressive model is an effective and scalable monocular depth estimator. Our idea is simple: We tackle the monocular depth estimation (MDE) task with an autoregressive prediction paradigm, based on two core designs. Firs
Externí odkaz:
http://arxiv.org/abs/2411.11361
A mean-field game (MFG) seeks the Nash Equilibrium of a game involving a continuum of players, where the Nash Equilibrium corresponds to a fixed point of the best-response mapping. However, simple fixed-point iterations do not always guarantee conver
Externí odkaz:
http://arxiv.org/abs/2411.07989