Search Results - "Sang, Shengtian"

Small-Object Sensitive Segmentation Using Across Feature Map Attention by Sang, Shengtian, Zhou, Yuyin, Islam, Md Tauhidul, Xing, Lei

“…Semantic segmentation is an important step in understanding the scene for many practical applications such as autonomous driving. Although Deep Convolutional…”
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SemaTyP: a knowledge graph based literature mining method for drug discovery by Sang, Shengtian, Yang, Zhihao, Wang, Lei, Liu, Xiaoxia, Lin, Hongfei, Wang, Jian

“…Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the…”
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A Scalable Embedding Based Neural Network Method for Discovering Knowledge From Biomedical Literature by Sang, Shengtian, Liu, Xiaoxia, Chen, Xiaoyu, Zhao, Di

“…Nowadays, the amount of biomedical literatures is growing at an explosive speed, and much useful knowledge is yet undiscovered in the literature. Classical…”
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Bearing fault diagnosis based on combined multi-scale weighted entropy morphological filtering and bi-LSTM by Zou, Fengqian, Zhang, Haifeng, Sang, Shengtian, Li, Xiaoming, He, Wanying, Liu, Xiaowei

“…With the development of industry and technology, mechanical systems’ safety has strong relations with the diagnosis of bearing faults. Accurate fault diagnosis…”
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Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study by Sang, Shengtian, Sun, Ran, Coquet, Jean, Carmichael, Harris, Seto, Tina, Hernandez-Boussard, Tina

“…For the clinical care of patients with well-established diseases, randomized trials, literature, and research are supplemented with clinical judgment to…”
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Biology-guided deep learning predicts prognosis and cancer immunotherapy response by Jiang, Yuming, Zhang, Zhicheng, Wang, Wei, Huang, Weicai, Chen, Chuanli, Xi, Sujuan, Ahmad, M. Usman, Ren, Yulan, Sang, Shengtian, Xie, Jingjing, Wang, Jen-Yeu, Xiong, Wenjun, Li, Tuanjie, Han, Zhen, Yuan, Qingyu, Xu, Yikai, Xing, Lei, Poultsides, George A., Li, Guoxin, Li, Ruijiang

“…Substantial progress has been made in using deep learning for cancer detection and diagnosis in medical images. Yet, there is limited success on prediction of…”
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A Point Cloud Registration Algorithm Based on Weighting Strategy for 3D Indoor Spaces by Lv, Wenshan, Zhang, Haifeng, Chen, Weiren, Li, Xiaoming, Sang, Shengtian

“…Point cloud registration is a technology that aligns point cloud data from different viewpoints by computing coordinate transformations to integrate them into…”
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Leveraging data-driven self-consistency for high-fidelity gene expression recovery by Islam, Md Tauhidul, Wang, Jen-Yeu, Ren, Hongyi, Li, Xiaomeng, Khuzani, Masoud Badiei, Sang, Shengtian, Yu, Lequan, Shen, Liyue, Zhao, Wei, Xing, Lei

“…Single cell RNA sequencing is a promising technique to determine the states of individual cells and classify novel cell subtypes. In current sequence data…”
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GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures by Sang, Shengtian, Yang, Zhihao, Liu, Xiaoxia, Wang, Lei, Lin, Hongfei, Wang, Jian, Dumontier, Michel

“…Drug discovery is the process by which new candidate medications are discovered. Developing a new drug is a lengthy, complex, and expensive process. Here, in…”
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Detection of protein complexes from multiple protein interaction networks using graph embedding by Liu, Xiaoxia, Yang, Zhihao, Sang, Shengtian, Lin, Hongfei, Wang, Jian, Xu, Bo

“…[Display omitted] •Integrate multiple PPI datasets from different species into a single network.•Use a graph embedding method to encode protein nodes into…”
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Supervised Learning Based Hypothesis Generation from Biomedical Literature by Lin, Hongfei, Li, Zongyao, Yang, Zhihao, Sang, Shengtian

“…Nowadays, the amount of biomedical literatures is growing at an explosive speed, and there is much useful knowledge undiscovered in this literature…”
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Relation path feature embedding based convolutional neural network method for drug discovery by Zhao, Di, Wang, Jian, Sang, Shengtian, Lin, Hongfei, Wen, Jiabin, Yang, Chunmei

“…Drug development is an expensive and time-consuming process. Literature-based discovery has played a critical role in drug development and may be a…”
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Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks by Liu, Xiaoxia, Yang, Zhihao, Sang, Shengtian, Zhou, Ziwei, Wang, Lei, Zhang, Yin, Lin, Hongfei, Wang, Jian, Xu, Bo

“…Protein complexes are one of the keys to deciphering the behavior of a cell system. During the past decade, most computational approaches used to identify…”
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Biology-aware mutation-based deep learning for outcome prediction of cancer immunotherapy with immune checkpoint inhibitors by Liu, Junyan, Islam, Md Tauhidul, Sang, Shengtian, Qiu, Liang, Xing, Lei

“…The response rate of cancer immune checkpoint inhibitors (ICI) varies among patients, making it challenging to pre-determine whether a particular patient will…”
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Using Alias Sampling Strategy Based on Network Embeddings to Detect Protein Complexes by Liu, Xiaoxia, Sang, Shengtian, Wang, Xiaoxu

“…Detecting protein complexes from available protein-protein interaction (PPI) data will help to deeply understand the mechanism of the biological activities. In…”
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Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer by Han, Zhen, Zhang, Zhicheng, Yang, Xianqi, Li, Zhe, Sang, Shengtian, Islam, Md Tauhidul, Guo, Alyssa A, Li, Zihan, Wang, Xiaoyan, Wang, Jing, Zhang, Taojun, Sun, Zepang, Yu, Lequan, Wang, Wei, Xiong, Wenjun, Li, Guoxin, Jiang, Yuming

“…BackgroundOnly a subset of patients with gastric cancer experience long-term benefits from immune checkpoint inhibitors (ICIs). Currently, there is a…”
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An Equivalent Circuit Model of Direct Methanol Fuel Cell for Polarization Analysis by Fang, Shuo, Ma, Zezhong, Chen, Hailong, Zhang, Yufeng, Sang, Shengtian, Liu, Xiaowei

“…This paper presents a gray-box equivalent circuit model (ECM) in order to predict the performance of direct methanol fuel cell (DMFC) unit. The ECM is composed…”
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A Self-Detecting and Self-Cleaning Biomimetic Porous Metal-Based Hydrogel for Oil/Water Separation by Li, Zhaoxin, Sang, Shengtian, Jiang, Shuyue, Chen, Liang, Zhang, Haifeng

“…Porous materials with super-wetting surfaces (superhydrophilic/underwater superoleophobic) are ideal for oil/water separation. However, the inability to…”
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A photocatalytic degradation self-cleaning composite membrane for oil-water separation inspired by light-trapping effect of moth-eye by Li, Zhaoxin, Yin, Liang, Jiang, Shuyue, Chen, Liang, Sang, Shengtian, Zhang, Haifeng

“…Membrane separation technology with superwetting surfaces is ideal for treating water pollution. However, the fouling problem of membranes limits their…”
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Advancements in wideband source localization with an acoustic vector sensor line array by Dong, Bowen, Zhang, Haifeng, Sang, Shengtian, Zhang, Yan

“…A method is presented for localizing wideband acoustic sources using an array of acoustic vector sensors (AVS). The method focuses on leveraging the lack of…”
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