Binhua Huang

According to our database, Binhua Huang authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Multi-modal Spatio-Temporal Transformer for High-resolution Land Subsidence Prediction.

Wendong Yao, Binhua Huang, Soumyabrata Dev

CoRR, September, 2025

MoCrop: Training Free Motion Guided Cropping for Efficient Video Action Recognition.

Binhua Huang, Wendong Yao, Shaowu Chen, Guoxin Wang, Qingyuan Wang, Soumyabrata Dev

CoRR, September, 2025

MVP: Motion Vector Propagation for Zero-Shot Video Object Detection.

Binhua Huang, Ni Wang, Wendong Yao, Soumyabrata Dev

CoRR, September, 2025

A Deep Learning Approach for Spatio-Temporal Forecasting of InSAR Ground Deformation in Eastern Ireland.

Wendong Yao, Saeed Azadnejad, Binhua Huang, Shane Donohue, Soumyabrata Dev

CoRR, September, 2025

MoCLIP-Lite: Efficient Video Recognition by Fusing CLIP with Motion Vectors.

Binhua Huang, Ni Wang, Arjun Pakrashi, Soumyabrata Dev

CoRR, September, 2025

TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers.

Guoxin Wang, Qingyuan Wang, Binhua Huang, Shaowu Chen, Deepu John

CoRR, September, 2025

Optimal Brain Connection: Towards Efficient Structural Pruning.

Shaowu Chen, Wei Ma, Binhua Huang, Qingyuan Wang, Guoxin Wang, Weize Sun, Lei Huang, Deepu John

CoRR, August, 2025

DCentNet: Decentralized multistage biomedical signal classification using early exits.

Xiaolin Li, Binhua Huang, Barry Cardiff, Deepu John

Biomed. Signal Process. Control., 2025

2024

A Shortcut Enhanced LSTM-GCN Network for Multi-Sensor Based Human Motion Tracking.

Xiaoyu Li, Chaoxiang Ye, Binhua Huang, Zhenning Zhou, Yuanzhe Su, Yue Ma, Zhengkun Yi, Xinyu Wu

IEEE Trans Autom. Sci. Eng., October, 2024

Dynamic liquid volume estimation using optical tactile sensors and spiking neural network.

Binhua Huang, Senlin Fang, Meng Yin, Zhengkun Yi, Chaoxiang Ye, Xiaoyu Li, Zhenning Zhou, Xinyu Wu

Intell. Serv. Robotics, March, 2024

2023

A Deep Learning Method Based on Triplet Network Using Self-Attention for Tactile Grasp Outcomes Prediction.

Chengliang Liu, Zhengkun Yi, Binhua Huang, Zhenning Zhou, Senlin Fang, Xiaoyu Li, Yupo Zhang, Xinyu Wu

IEEE Trans. Instrum. Meas., 2023

Attention-enhanced BLSTM Network for Liquid Volume Estimation based on Tactile Sensing.

Yuanzhe Su, Jingnan Wang, Binhua Huang, Xiaoyu Li, Yiwen Liu, Chengliang Liu, Zhenning Zhou, Zhengkun Yi, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction.

Chengliang Liu, Binhua Huang, Yiwen Liu, Yuanzhe Su, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by Pearson Correlation Coefficient for Human Motion Tracking.

Xiaoyu Li, Jingnan Wang, Binhua Huang, Chengliang Liu, Yiwen Liu, Yupo Zhang, Zhengkun Yi, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

GelPixel: A Single-Pixel-Based Tactile Sensor.

Binhua Huang, Xiaoyu Li, Putra Sumari, Chaoxiang Ye, Zhenning Zhou, Meng Yin, Zhengkun Yi, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022

Methods to Recognize Depth of Hard Inclusions in Soft Tissue Using Ordinal Classification for Robotic Palpation.

Zhenning Zhou, Binhua Huang, Runzhi Zhang, Meng Yin, Chengliang Liu, Yiwen Liu, Zhengkun Yi, Xinyu Wu

IEEE Trans. Instrum. Meas., 2022

Depth Recognition of Hard Inclusions in Tissue Phantoms for Robotic Palpation.

Zhenning Zhou, Senlin Fang, Chaoxiang Ye, Tingting Mi, Binhua Huang, Xiaoyu Li, Zhengkun Yi, Xinyu Wu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022