Papers
3
Total Citations
157
H-Index
3
About
Fengyu Yang is a pioneering researcher at the intersection of materials science and artificial intelligence, with key contributions spanning mechanically robust hydrogels and multimodal tactile learning. In materials engineering, Yang introduced a groundbreaking double-network physical cross-linking strategy for hydrogels (2019, 100 citations), enabling unprecedented bulk mechanical strength, self-recovery, and surface adhesion—a critical advance for biomedical adhesives and soft robotics. This work addressed a long-standing challenge in creating durable, self-healing materials. Transitioning to AI, Yang’s research redefines how machines perceive touch. Their 2024 paper on unified multimodal tactile representations (48 citations) develops models that bind tactile data with vision and language, overcoming sensor diversity and data scarcity to enable cross-modal understanding. This work is foundational for embodied AI and human-robot interaction. Additionally, Yang’s FreeMan benchmark (2024) provides a real-world 3D human pose estimation dataset, advancing AIGC and robotic perception under natural conditions. With over 150 total citations and a rare ability to bridge physical materials and digital perception, Yang’s work is shaping the future of intelligent, touch-aware systems.
Research Focus
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Top Papers
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