Search Results for author: Gang Xu

Found 17 papers, 10 papers with code

StaPep: an open-source tool for the structure prediction and feature extraction of hydrocarbon-stapled peptides

no code implementations28 Feb 2024 Zhe Wang, Jianping Wu, Mengjun Zheng, Chenchen Geng, Borui Zhen, Wei zhang, Hui Wu, Zhengyang Xu, Gang Xu, Si Chen, Xiang Li

Many tools exist for extracting structural and physiochemical descriptors from linear peptides to predict their properties, but similar tools for hydrocarbon-stapled peptides are lacking. Here, we present StaPep, a Python-based toolkit designed for generating 2D/3D structures and calculating 21 distinct features for hydrocarbon-stapled peptides. The current version supports hydrocarbon-stapled peptides containing 2 non-standard amino acids (norleucine and 2-aminoisobutyric acid) and 6 nonnatural anchoring residues (S3, S5, S8, R3, R5 and R8). Then we established a hand-curated dataset of 201 hydrocarbon-stapled peptides and 384 linear peptides with sequence information and experimental membrane permeability, to showcase StaPep's application in artificial intelligence projects. A machine learning-based predictor utilizing above calculated features was developed with AUC of 0. 85, for identifying cell-penetrating hydrocarbon-stapled peptides. StaPep's pipeline spans data retrieval, cleaning, structure generation, molecular feature calculation, and machine learning model construction for hydrocarbon-stapled peptides. The source codes and dataset are freely available on Github: https://github. com/dahuilangda/stapep_package.

Semantic-aware Generation of Multi-view Portrait Drawings

1 code implementation4 May 2023 Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu

Our motivation is that facial semantic labels are view-consistent and correlate with drawing techniques.

3D-Aware Image Synthesis Data Augmentation

Masked and Adaptive Transformer for Exemplar Based Image Translation

1 code implementation CVPR 2023 Chang Jiang, Fei Gao, Biao Ma, YuHao Lin, Nannan Wang, Gang Xu

To overcome this challenge, we improve the accuracy of matching on the one hand, and diminish the role of matching in image generation on the other hand.

Image Generation Semantic correspondence +1

Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark

1 code implementation7 Jul 2022 Gang Xu, Yu-chen Yang, Liang Wang, Xian-Tong Zhen, Jun Xu

Joint Super-Resolution and Inverse Tone-Mapping (joint SR-ITM) aims to increase the resolution and dynamic range of low-resolution and standard dynamic range images.

inverse tone mapping Inverse-Tone-Mapping +2

Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows

no code implementations19 Nov 2021 Zhizheng Jiang, Fei Gao, Renshu Gu, Jinlan Xu, Gang Xu, Timon Rabczuk

In this paper, a novel deep learning framework is proposed for temporal super-resolution simulation of blood vessel flows, in which a high-temporal-resolution time-varying blood vessel flow simulation is generated from a low-temporal-resolution flow simulation result.

Super-Resolution

Salient Objects in Clutter

2 code implementations7 May 2021 Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao

This design bias has led to a saturation in performance for state-of-the-art SOD models when evaluated on existing datasets.

Image Augmentation Object +4

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

1 code implementation CVPR 2021 Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng

To well exploit the temporal information, we propose a Locally-temporal Feature Comparison (LFC) module, along with the Bi-directional Deformable ConvLSTM, to extract short-term and long-term motion cues in videos.

Space-time Video Super-resolution Video Super-Resolution

Topological Luttinger semimetallic phase accompanied with surface states realized in silicon

no code implementations4 Mar 2021 Ying Li, Chi-Ho Cheung, Gang Xu

More importantly, the topological surface states in the LSM phase fill in the gap between the topological matters and silicon, which provide an opportunity to integrate the topological quantum devices and silicon chips together.

Materials Science

Image-based Textile Decoding

1 code implementation2 Jan 2021 Siqiang Chen, Masahiro Toyoura, Takamasa Terada, Xiaoyang Mao, Gang Xu

A pattern in which the warps and wefts cross on a grid is defined in a binary matrix.

Discovery of unconventional chiral charge order in kagome superconductor KV3Sb5

no code implementations31 Dec 2020 Yu-Xiao Jiang, Jia-Xin Yin, M. Michael Denner, Nana Shumiya, Brenden R. Ortiz, Junyi He, Xiaoxiong Liu, Songtian S. Zhang, Guoqing Chang, Ilya Belopolski, Qi Zhang, Md Shafayat Hossain, Tyler A. Cochran, Daniel Multer, Maksim Litskevich, Zi-Jia Cheng, Xian P. Yang, Zurab Guguchia, Gang Xu, Ziqiang Wang, Titus Neupert, Stephen D. Wilson, M. Zahid Hasan

Here we use high-resolution scanning tunnelling microscopy (STM) to discover an unconventional charge order in a kagome material KV3Sb5, with both a topological band structure and a superconducting ground state.

Superconductivity Materials Science Strongly Correlated Electrons

InSAR Phase Denoising: A Review of Current Technologies and Future Directions

no code implementations3 Jan 2020 Gang Xu, Yandong Gao, Jinwei Li, Mengdao Xing

Nowadays, interferometric synthetic aperture radar (InSAR) has been a powerful tool in remote sensing by enhancing the information acquisition.

Denoising

BAGS: An automatic homework grading system using the pictures taken by smart phones

1 code implementation10 Jun 2019 Xiaoshuo Li, Tiezhu Yue, Xuanping Huang, Zhe Yang, Gang Xu

To solve these problems, we propose BAGS, an automatic homework grading system which can effectively locate and recognize handwritten answers.

Test

Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images

no code implementations22 Jun 2018 Zhongping Ji, Xiao Qi, Yigang Wang, Gang Xu, Peng Du, Qing Wu

In this paper, we propose a deep learning based reconstruction of 3D human body shape from 2D orthographic views.

Data Augmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.