activity
20152023
most citedNeural Rating Regression with Abstractive Tips Generation for Recommendation

306 citations · 405 across the 21 of their papers we have counts for

collaborators

21 papers

cs.SD2023★ 1 cited

REMAST: Real-time Emotion-based Music Arrangement with Soft Transition

Zihao Wang, Le Ma, Chen Zhang +8

Music as an emotional intervention medium has important applications in scenarios such as music therapy, games, and movies. However, music needs real-time arrangement according to…

cs.CV2023

SketchFFusion: Sketch-guided image editing with diffusion model

Weihang Mao, Bo Han, Zihao Wang

Sketch-guided image editing aims to achieve local fine-tuning of the image based on the sketch information provided by the user, while maintaining the original status of the unedit…

cs.SD2022★ 12 cited

SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias

Zihao Wang, Qihao Liang, Kejun Zhang +8

Real-time music accompaniment generation has a wide range of applications in the music industry, such as music education and live performances. However, automatic real-time music a…

cs.LG2022

Upper Limb Movement Recognition utilising EEG and EMG Signals for Rehabilitative Robotics

Zihao Wang, Ravi Suppiah

Upper limb movement classification, which maps input signals to the target activities, is a key building block in the control of rehabilitative robotics. Classifiers are trained fo…

econ.GN2021★ 4 cited

Economic Recession Prediction Using Deep Neural Network

Zihao Wang, Kun Li, Steve Q. Xia +1

We investigate the effectiveness of different machine learning methodologies in predicting economic cycles. We identify the deep learning methodology of Bi-LSTM with Autoencoder as…

cs.CV2021

Bayesian Logistic Shape Model Inference: application to cochlea image segmentation

Wang Zihao, Demarcy Thomas, Vandersteen Clair +4

Incorporating shape information is essential for the delineation of many organs and anatomical structures in medical images. While previous work has mainly focused on parametric sp…