Yuying Huang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 7

Top Topics

Capsule Endoscopy

Optimization Algorithm

Multiview Reconstruction

Top Venues

J. Chem. Inf. Model.

Publications

Yanshen Luo, Wenjian Huang, Yuying Huang, Yongfu Li, Yanhan Zeng
A 0.7-V and 10-nA CMOS-Only Voltage Reference with 1-mA Load Driving Capability Based on Gate-Voltage Compensation Loop. ISCAS (2024)
Yuying Huang, Yajie Ma, Bin Jiang, Li Guan, Jiangnan Zhou, Haoyang Zhang
An Integrated Optimization Algorithm of Cutting Parameters and Scheduling for Flexible Job Shop. SAFEPROCESS (2023)
Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg
AO-Grasp: Articulated Object Grasp Generation. CoRR (2023)
Xuekui Zhang, Yuying Huang, Ke Xu, Li Xing
Novel Modelling Strategies for High-frequency Stock Trading Data. CoRR (2022)
Yuying Huang, Yiming Yao, Johanna Hansen, Jeremy Mallette, Sandeep Manjanna, Gregory Dudek, David Meger
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles. CoRR (2021)
Aoxiang Tao, Yuying Huang, Yasuhiro Shinohara, Matthew L. Caylor, Srinath Pashikanti, Dong Xu
ezCADD: A Rapid 2D/3D Visualization-Enabled Web Modeling Environment for Democratizing Computer-Aided Drug Design. J. Chem. Inf. Model. 59 (1) (2019)
Han Li, Huijia Li, Linzi Zhang, Yuying Huang
大数据环境下老年人失能失智因素关联 (Correlative Factors about Elderly Disabled and Dementia in Big Data Environments). 计算机科学 45 (6A) (2018)
Jinzhu Hu, Jiangbo Shu, Yuying Huang
Text Feature Extraction Based on the Extension of Topic Words and Fuzzy Set. CSSE (1) (2008)
Ping-Feng Pai, Yuying Huang
Using Support Vector Machines and Rough Sets Theory for Classifying Faulty Types of Diesel Engine. ICCSA (1) (2007)
Ping-Feng Pai, Yuying Huang
Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types. ISNN (2) (2006)
Wei-Chiang Hong, Ping-Feng Pai, Yuying Huang, Shun-Lin Yang
Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance. ICNC (1) (2005)