Search Results for author: Yong Huang

Found 11 papers, 0 papers with code

A Point Cloud-Based Deep Learning Strategy for Protein-Ligand Binding Affinity Prediction

no code implementations9 Jul 2021 Yeji Wang, Shuo Wu, Yanwen Duan, Yong Huang

These results suggest that point clouds derived from the PDBbind datasets are useful to evaluate the performance of 3D point clouds-centered deep learning algorithms, which could learn critical protein-ligand interactions from natural evolution or medicinal chemistry and have wide applications in studying protein-ligand interactions.

Drug Discovery

ResAtom System: Protein and Ligand Affinity Prediction Model Based on Deep Learning

no code implementations17 Apr 2021 Yeji Wang, Shuo Wu, Yanwen Duan, Yong Huang

At the same time, we evaluated the performance of a variety of existing scoring functions in combination with ResAtom-Score in the absence of experimentally-determined conformations.

LNSMM: Eye Gaze Estimation With Local Network Share Multiview Multitask

no code implementations18 Jan 2021 Yong Huang, Ben Chen, Daiming Qu

Eye gaze estimation has become increasingly significant in computer vision. In this paper, we systematically study the mainstream of eye gaze estimation methods, propose a novel methodology to estimate eye gaze points and eye gaze directions simultaneously. First, we construct a local sharing network for feature extraction of gaze points and gaze directions estimation, which can reduce network computational parameters and converge quickly;Second, we propose a Multiview Multitask Learning (MTL) framework, for gaze directions, a coplanar constraint is proposed for the left and right eyes, for gaze points, three views data input indirectly introduces eye position information, a cross-view pooling module is designed, propose joint loss which handle both gaze points and gaze directions estimation. Eventually, we collect a dataset to use of gaze points, which have three views to exist public dataset. The experiment show our method is state-of-the-art the current mainstream methods on two indicators of gaze points and gaze directions.

Gaze Estimation

Towards Cross-Modal Forgery Detection and Localization on Live Surveillance Videos

no code implementations4 Jan 2021 Yong Huang, Xiang Li, Wei Wang, Tao Jiang, Qian Zhang

Traditional video forensics approaches can detect and localize forgery traces in each video frame using computationally-expensive spatial-temporal analysis, while falling short in real-time verification of live video feeds.

Time Series Video Forensics Cryptography and Security

A Multi-Modal and Multitask Benchmark in the Clinical Domain

no code implementations1 Jan 2021 Yong Huang, Edgar Mariano Marroquin, Volodymyr Kuleshov

Here, we introduce Multi-Modal Multitask MIMIC-III (M3) — a dataset and benchmark for evaluating machine learning algorithms in the healthcare domain.

Time Series

Recovering compressed images for automatic crack segmentation using generative models

no code implementations6 Mar 2020 Yong Huang, Haoyu Zhang, Hui Li, Stephen Wu

We develop a recovery framework for automatic crack segmentation of compressed crack images based on this new CS method and demonstrate the remarkable performance of the method taking advantage of the strong capability of generative models to capture the necessary features required in the crack segmentation task even the backgrounds of the generated images are not well reconstructed.

Compressive Sensing Data Compression

Learning Structural Graph Layouts and 3D Shapes for Long Span Bridges 3D Reconstruction

no code implementations8 Jul 2019 Fangqiao Hu, Jin Zhao, Yong Huang, Hui Li

Considering the prior human knowledge that these structures are in conformity to regular spatial layouts in terms of components, a learning-based topology-aware 3D reconstruction method which can obtain high-level structural graph layouts and low-level 3D shapes from images is proposed in this paper.

3D Reconstruction Generating 3D Point Clouds

Greedy Graph Searching for Vascular Tracking in Angiographic Image Sequences

no code implementations25 May 2018 Huihui Fang, Jian Yang, Jianjun Zhu, Danni Ai, Yong Huang, Yurong Jiang, Hong Song, Yongtian Wang

The vascular branch was described using a vascular centerline extraction method with multi-probability fusion-based topology optimization.

Dynamic Time Warping Image Registration

Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment

no code implementations13 Jan 2017 Yong Huang, James L. Beck, Hui Li

The focus in this paper is Bayesian system identification based on noisy incomplete modal data where we can impose spatially-sparse stiffness changes when updating a structural model.

Bayesian Inference

Robust Bayesian compressive sensing with data loss recovery for structural health monitoring signals

no code implementations28 Mar 2015 Yong Huang, James L. Beck, Stephen Wu, Hui Li

The application of compressive sensing (CS) to structural health monitoring is an emerging research topic.

Compressive Sensing

Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data

no code implementations21 Mar 2015 Yong Huang, James L. Beck

In this paper, we improve the theory of our previously proposed sparse Bayesian learning approach by eliminating an approximation and, more importantly, incorporating a constraint on stiffness increases.

Learning Theory

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