activity
20212026
most citedDrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset

6 citations · 10 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA2026

Uniform-in-time strong convergence rates of fully discrete approximations for stochastic Cahn--Hilliard equations with multiplicative noise

Jiaqin He, Nan Deng, Shuhan Zhang +1

This paper investigates the uniform-in-time strong convergence rates of a fully discrete approximation for the stochastic Cahn--Hilliard equation driven by multiplicative noise in…

cs.CV2026

PrISM-IQA: Image Quality Assessment Made Practical for Smartphone Photography

Shuyan Zhai, Jiaqi He, Weixia Zhang +4

Existing smartphone image quality assessment (IQA) methods commonly reduce perceptual quality to a single score. However, this scalar formulation is poorly aligned with practical i…

cs.MM2026

Subjective Evaluation of Frame Rate in Bitrate-Constrained Live Streaming

Jiaqi He, Zhengfang Duanmu, Kede Ma

Bandwidth constraints in live streaming require video codecs to balance compression strength and frame rate, yet the perceptual consequences of this trade-off remain underexplored.…

cs.AI2026★ 2 cited

HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis

Rajan Das Gupta, Xiaobin Wu, Xun Liu +1

Cardiovascular disease (CVD) remains the foremost cause of mortality worldwide, underscoring the urgent need for intelligent and data-driven diagnostic tools. Traditional predictiv…

eess.SY2025★ 2 cited

Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency

Xun Liu, Xiaobin Wu, Jiaqi He +1

This study explores the effectiveness of predictive maintenance models and the optimization of intelligent Operation and Maintenance (O&M) systems in improving wind power generatio…

cs.LG2025★ 6 cited

DrivAer Transformer: A high-precision and fast prediction method for vehicle aerodynamic drag coefficient based on the DrivAerNet++ dataset

Jiaqi He, Xiangwen Luo, Yiping Wang

At the current stage, deep learning-based methods have demonstrated excellent capabilities in evaluating aerodynamic performance, significantly reducing the time and cost required…

cs.CV2024

Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures

Jiaqi He, Zhihua Wang, Leon Wang +4

Contemporary color difference (CD) measures for photographic images typically operate by comparing co-located pixels, patches in a ``perceptually uniform'' color space, or features…

cs.LG2021

Regularized Recovery by Multi-order Partial Hypergraph Total Variation

Ruyuan Qu, Jiaqi He, Hui Feng +2

Capturing complex high-order interactions among data is an important task in many scenarios. A common way to model high-order interactions is to use hypergraphs whose topology can…