449 citations · 996 across the 58 of their papers we have counts for
61 papers
pLMFPPred: a novel approach for accurate prediction of functional peptides integrating embedding from pre-trained protein language model and imbalanced learning
Zebin Ma, Yonglin Zou, Xiaobin Huang +5
Functional peptides have the potential to treat a variety of diseases. Their good therapeutic efficacy and low toxicity make them ideal therapeutic agents. Artificial intelligence-…
MMA-Net: Multiple Morphology-Aware Network for Automated Cobb Angle Measurement
Zhengxuan Qiu, Jie Yang, Jiankun Wang
Scoliosis diagnosis and assessment depend largely on the measurement of the Cobb angle in spine X-ray images. With the emergence of deep learning techniques that employ landmark de…
A General Equivalence Theorem for Crossover Designs under Generalized Linear Models
Jeevan Jankar, Jie Yang, Abhyuday Mandal
With the help of Generalized Estimating Equations, we identify locally D-optimal crossover designs for generalized linear models. We adopt the variance of parameters of interest as…
ForLion: A New Algorithm for D-optimal Designs under General Parametric Statistical Models with Mixed Factors
Yifei Huang, Keren Li, Abhyuday Mandal +1
In this paper, we address the problem of designing an experimental plan with both discrete and continuous factors under fairly general parametric statistical models. We propose a n…
ARTIST: ARTificial Intelligence for Simplified Text
Lorenzo Corti, Jie Yang
Complex text is a major barrier for many citizens when accessing public information and knowledge. While often done manually, Text Simplification is a key Natural Language Processi…
detrex: Benchmarking Detection Transformers
Tianhe Ren, Shilong Liu, Feng Li +13
The DEtection TRansformer (DETR) algorithm has received considerable attention in the research community and is gradually emerging as a mainstream approach for object detection and…
Streamlining Social Media Information Retrieval for COVID-19 Research with Deep Learning
Yining Hua, Jiageng Wu, Shixu Lin +7
Objective: Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-matching. This study develops a s…
A Trigamma-free Approach for Computing Information Matrices Related to Trigamma Function
Zhou Yu, Niloufar Dousti Mousavi, Jie Yang
Negative binomial related distributions have been widely used in practice. The calculation of the corresponding Fisher information matrices involves the expectation of trigamma fun…
Joint Localization and Environment Sensing by Harnessing NLOS Components in RIS-aided mmWave Communication Systems
Yixuan Huang, Jie Yang, Wankai Tang +3
This study explores the use of non-line-of-sight (NLOS) components in millimeter-wave (mmWave) communication systems for joint localization and environment sensing. The radar cross…
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
Ye Zhu, Jie Yang, Si-Qi Liu +1
Semi-supervised medical image segmentation has attracted much attention in recent years because of the high cost of medical image annotations. In this paper, we propose a novel Inh…
Exploring Social Media for Early Detection of Depression in COVID-19 Patients
Jiageng Wu, Xian Wu, Yining Hua +3
The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing abou…
MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
Shuhao Shi, Kai Qiao, Jian Chen +5
The development of social media user stance detection and bot detection methods rely heavily on large-scale and high-quality benchmarks. However, in addition to low annotation qual…
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
Yulei Qin, Xingyu Chen, Chao Chen +5
Recently, webly supervised learning (WSL) has been studied to leverage numerous and accessible data from the Internet. Most existing methods focus on learning noise-robust models f…
3D Human Mesh Construction Leveraging Wi-Fi
Yichao Wang, Jie Yang
In this paper, we present, Wi-Mesh, a WiFi vision-based 3D human mesh construction system. Our system leverages the advances of WiFi to visualize the shape and deformations of the…
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Andrea Tocchetti, Lorenzo Corti, Agathe Balayn +4
Despite the impressive performance of Artificial Intelligence (AI) systems, their robustness remains elusive and constitutes a key issue that impedes large-scale adoption. Robustne…
Online LiDAR-Camera Extrinsic Parameters Self-checking
Pengjin Wei, Guohang Yan, Yikang Li +3
With the development of neural networks and the increasing popularity of automatic driving, the calibration of the LiDAR and the camera has attracted more and more attention. This…
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Guang Liu, Jie Yang, Ledell Wu
Tabular data is the foundation of the information age and has been extensively studied. Recent studies show that neural-based models are effective in learning contextual representa…
Hybrid Active and Passive Sensing for SLAM in Wireless Communication Systems
Jie Yang, Chao-Kai Wen, Shi Jin
Integrating sensing functions into future mobile equipment has become an important trend. Realizing different types of sensing and achieving mutual enhancement under the existing c…
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road Scene
Pengjin Wei, Guohang Yan, Yikang Li +4
Sensor-based environmental perception is a crucial part of the autonomous driving system. In order to get an excellent perception of the surrounding environment, an intelligent sys…
Modeling Sparse Data Using MLE with Applications to Microbiome Data
Hani Aldirawi, Jie Yang
Modeling sparse data such as microbiome and transcriptomics (RNA-seq) data is very challenging due to the exceeded number of zeros and skewness of the distribution. Many probabilis…
FastAD: Expression Template-Based C++ Library for Fast and Memory-Efficient Automatic Differentiation
James Yang
Automatic differentiation is a set of techniques to efficiently and accurately compute the derivative of a function represented by a computer program. Existing C++ libraries for au…
Singular Perturbation of Zero-Sum Linear-Quadratic Stochastic Differential Games
Beniamin Goldys, James Yang, Zhou Zhou
We investigate a class of zero-sum linear-quadratic stochastic differential games on a finite time horizon governed by multiscale state equations. The multiscale nature of the prob…
Multiscale Linear-Quadratic Stochastic Optimal Control With Multiplicative Noise
Beniamin Goldys, Gianmario Tessitore, James Yang +1
We investigate the asymptotic properties of a finite-time horizon linear-quadratic optimal control problem driven by a multiscale stochastic process with multiplicative Brownian no…
A Review of Semi Supervised Learning Theories and Recent Advances
Enmei Tu, Jie Yang
Semi-supervised learning, which has emerged from the beginning of this century, is a new type of learning method between traditional supervised learning and unsupervised learning.…