Minhao Liu

Orcid: 0000-0002-7739-8032

According to our database1, Minhao Liu authored at least 23 papers between 2009 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TimeCatcher: A Variational Framework for Volatility-Aware Forecasting of Non-Stationary Time Series.
CoRR, January, 2026

TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Leveraging Large Language Model for Generalization in Building Energy Management.
IEEE Trans. Smart Grid, November, 2025

Oriented object detection in optical remote sensing images using deep learning: a survey.
Artif. Intell. Rev., October, 2025

FAME: Fusion-Aware Multi-modal Ensemble for Social Media Popularity Prediction.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

EndoDUM: Unsupervised Endoscopic Depth Estimation with Uncertainty Mask.
Proceedings of the International Joint Conference on Neural Networks, 2025

CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
MuseTalk: Real-Time High Quality Lip Synchronization with Latent Space Inpainting.
CoRR, 2024

2023
A yaw stability-guaranteed hierarchical coordination control strategy for four-wheel drive electric vehicles using an unscented Kalman filter.
J. Frankl. Inst., September, 2023

On an enhanced back propagation neural network control of vehicle semi-active suspension with a magnetorheological damper.
Trans. Inst. Meas. Control, February, 2023

2022
Adaptive sliding mode attitude control of two-wheel mobile robot with an integrated learning-based RBFNN approach.
Neural Comput. Appl., 2022

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
DeepFIB: Self-Imputation for Time Series Anomaly Detection.
CoRR, 2021

Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction.
CoRR, 2021

Hop-Aware Dimension Optimization for Graph Neural Networks.
CoRR, 2021

Information Bottleneck Approach to Spatial Attention Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis.
CoRR, 2020

DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach.
Proceedings of the Computer Vision - ECCV 2020, 2020

2018
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image.
Proceedings of the British Machine Vision Conference 2018, 2018

2009
Text Steganography Based on Online Chat.
Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009


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