Haiying Wang

About

Haiying Wang is a versatile researcher whose work spans robotics, artificial intelligence, and biomedical engineering, with a focus on creating intelligent systems that interact with and assist humans. A key contribution is the development of "Taylor saves for later," a novel framework for video prediction that disentangles dynamic and static scene components using Taylor representation, earning 7 citations for its innovative approach to temporal modeling. Wang also advanced human-robot interaction through the E-Bot, a facial-recognition-based emotion detection system that significantly improved prediction accuracy over existing emotional robots, garnering 6 citations. In rehabilitation technology, Wang proposed the integration of smart insoles with exoskeletons for comprehensive gait assessment, a 2025 study with 5 citations that addresses the critical need for long-term mobility monitoring. Earlier work includes optimizing the design dexterity of tooth-arrangement three-fingered hands for oral cavity repair robots (4 citations) and developing a duck egg recognition algorithm using an improved YOLOv4 model for automated farming (3 citations). This diverse portfolio demonstrates Wang’s ability to solve practical problems across healthcare, agriculture, and human-robot systems, making significant strides in both theoretical and applied research.

Research Focus

Key Achievements

Top Papers

1. 1
   Taylor saves for later: Disentanglement for video prediction using Taylor representation

   7 citations · 2021
2. 2
   E-Bot: A Facial Recognition Based Human-Robot Emotion Detection System

   6 citations · 2018
3. 3
   Integration of smart insoles for gait assessment in exoskeleton assisted rehabilitation

   5 citations · 2025
4. 4
   Optimize design dexterity of tooth-arrangement three-fingered hands

   4 citations · 2005
5. 5
   Research on duck egg recognition algorithm based on improved YOLOv4

   3 citations · 2024

Key Collaborators

Contact & Links