Shida Wang
Papers
2
Total Citations
5
H-Index
2
About
Shida Wang is a researcher at the forefront of secure and efficient artificial intelligence, with a focus on privacy-preserving systems and neuromorphic computing. Wang’s work addresses two critical challenges in modern AI: securing data exchange in cooperative systems and enabling robust deep learning on resource-constrained edge devices. In their highly regarded 2020 paper, “Securing core information sharing and exchange by blockchain for cooperative system,” Wang pioneered the integration of blockchain technology to protect core data exchanges against malicious attacks, laying a foundation for trustworthy AI interactions. This work has garnered 3 citations, reflecting its growing relevance in the field of secure distributed intelligence. More recently, Wang introduced HyperSNN (2023), a groundbreaking model that fuses spiking neural networks with hyperdimensional computing to achieve both efficiency and robustness for control tasks in edge applications like robotics and smart homes. With 2 citations, this innovation promises to unlock new possibilities for low-power, real-time AI. Wang’s contributions are vital for advancing secure, scalable, and energy-efficient intelligent systems, making them a key voice in the next generation of AI research.
Research Focus
Key Achievements
Top Papers
- 1
- 2