output
20172025
most citedPrediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

99 citations

12 papers

cs.HC2025

Modeling Engagement Signals in Technology-Enhanced Collaborative Learning: Toward AI-Ready Feedback

Joan Zhong

Modeling engagement in collaborative learning remains challenging, especially in technology-enhanced environments where surface indicators such as participation frequency can be mi…

cond-mat.soft2025

Neural optimization of the most probable paths of 3D active Brownian particles

Bin Zheng, Zhongqiang Xiong, Changhao Li +7

We develop a variational neural-network framework to determine the most probable path (MPP) of a 3D active Brownian particle (ABP) by directly minimizing the Onsager-Machlup integr…

cs.LG2025★ 8 cited

Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection

Chunjing Xiao, Jiahui Lu, Xovee Xu +4

Graph anomaly detection is critical in domains such as healthcare and economics, where identifying deviations can prevent substantial losses. Existing unsupervised approaches striv…

cs.LG2025★ 18 cited

Boundary-enhanced time series data imputation with long-term dependency diffusion models

Chunjing Xiao, Xue Jiang, Xianghe Du +4

Data imputation is crucial for addressing challenges posed by missing values in multivariate time series data across various fields, such as healthcare, traffic, and economics, and…

physics.med-ph2024★ 40 cited

Current Views on Mechanisms of the FLASH Effect in Cancer Radiotherapy

Yuqi Ma, Ziming Zhao, Wenkang Zhang +9

FLASH radiotherapy (FLASH-RT) is a new modality of radiotherapy by delivering doses with ultra-high dose rates. FLASH-RT has the ability to suppress tumor growth while sparing norm…

cs.CV2024★ 12 cited

AI-Generated Content Enhanced Computer-Aided Diagnosis Model for Thyroid Nodules: A ChatGPT-Style Assistant

Jincao Yao, Yunpeng Wang, Zhikai Lei +13

An artificial intelligence-generated content-enhanced computer-aided diagnosis (AIGC-CAD) model, designated as ThyGPT, has been developed. This model, inspired by the architecture…

eess.IV2023★ 12 cited

Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images

Shouyue Liu, Jinkui Hao, Yanwu Xu +7

Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer's disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use re…

cs.HC2022★ 99 cited

Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN

Kaining Mao, Wei Zhang, Deborah Baofeng Wang +9

Depression is increasingly impacting individuals both physically and psychologically worldwide. It has become a global major public health problem and attracts attention from vario…

cs.IT2022

Signal reconstruction from noisy multichannel samples

Dong Cheng, Xiaoxiao Hu, Kit Ian Kou

We consider the signal reconstruction problem under the case of the signals sampled in the multichannel way and with the presence of noise. Observing that if the samples are inexac…

physics.app-ph2019

Robust quantitative single-exposure laser speckle imaging with true flow speckle contrast in the temporal and spatial domains

Chenge Wang, Zili Cao, Xin Jin +4

A systematic and robust laser speckle contrast imaging (LSCI) method and procedure is presented, covering the LSCI system calibration, static scattering removal, and measurement no…

q-bio.CB2017★ 3 cited

Do ROS really slow down aging in C. elegans?

Yaguang Ren, Sixi Chen, Mengmeng Ma +6

The view that ROS slow down aging is getting popular. We here proposed an idea that aging is slowed down by secondary responses rather than ROS.

cs.ET2017★ 5 cited

Nano-Intrinsic True Random Number Generation

Jeeson Kim, Taimur Ahmed, Hussein Nili +6

Recent advances in predictive data analytics and ever growing digitalization and connectivity with explosive expansions in industrial and consumer Internet-of-Things (IoT) has rais…