Search Results for author: Jian Lin

Found 10 papers, 2 papers with code

Sketch2Manga: Shaded Manga Screening from Sketch with Diffusion Models

no code implementations13 Mar 2024 Jian Lin, Xueting Liu, Chengze Li, Minshan Xie, Tien-Tsin Wong

Unfortunately, there is no existing method that tailors for automatic manga screening, probably due to the difficulty of generating high-quality shaded high-frequency screentones.

Instance-guided Cartoon Editing with a Large-scale Dataset

no code implementations4 Dec 2023 Jian Lin, Chengze Li, Xueting Liu, Zhongping Ge

Cartoon editing, appreciated by both professional illustrators and hobbyists, allows extensive creative freedom and the development of original narratives within the cartoon domain.

Image Segmentation Segmentation +1

Intelligence-Endogenous Management Platform for Computing and Network Convergence

no code implementations7 Aug 2023 Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao

Therefore, in this article, we present the concept of an intelligence-endogenous management platform for CNCs called \emph{CNC brain} based on artificial intelligence technologies.

Management Scheduling

Hard instance learning for quantum adiabatic prime factorization

no code implementations10 Oct 2021 Jian Lin, Zhengfeng Zhang, Junping Zhang, Xiaopeng Li

Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman (RSA) cryptography.

Reinforcement Learning (RL) Transfer Learning

Quantum Adiabatic Doping for Atomic Fermi-Hubbard Quantum Simulations

no code implementations5 Jan 2021 Jue Nan, Jian Lin, Yuchen Luo, Bo Zhao, Xiaopeng Li

Its feasibility has been demonstrated with numerical simulations of the adiabatic preparation for certain incommensurate particle-doping fractions, where the major problem to circumvent is the atomic localization in the incommensurate lattice.

Quantum Gases Strongly Correlated Electrons Quantum Physics

Inverse Structural Design of Graphene/Boron Nitride Hybrids by Regressional GAN

1 code implementation21 Aug 2019 Yuan Dong, Dawei Li, Chi Zhang, Chuhan Wu, Hong Wang, Ming Xin, Jianlin Cheng, Jian Lin

A significant novelty of the proposed RGAN is that it combines the supervised and regressional convolutional neural network (CNN) with the traditional unsupervised GAN, thus overcoming the common technical barrier in the traditional GANs, which cannot generate data associated with given continuous quantitative labels.

Computational Physics Materials Science Applied Physics

Quantum Adiabatic Algorithm Design using Reinforcement Learning

no code implementations27 Dec 2018 Jian Lin, Zhong Yuan Lai, Xiaopeng Li

We benchmark this approach in Grover-search and 3-SAT problems, and find that the adiabatic-algorithm obtained by our RL approach leads to significant improvement in the resultant success probability.

reinforcement-learning Reinforcement Learning (RL)

Deep Learning Bandgaps of Topologically Doped Graphene

no code implementations28 Sep 2018 Yuan Dong, Chuhan Wu, Chi Zhang, Yingda Liu, Jianlin Cheng, Jian Lin

Moreover, given ubiquitous existence of topologies in materials, this work will stimulate widespread interests in applying deep learning algorithms to topological design of materials crossing atomic, nano-, meso-, and macro- scales.

Materials Science Computational Physics

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