Huijuan Xu

Huijuan Xu is an Assistant Professor in the Department of Computer Science and Engineering. Her research spans artificial intelligence, computer vision, and knowledge representation, with a focus on temporal modeling, semantic reasoning, and multimodal learning. She has contributed to advancements in virtual reality streaming, knowledge graph completion, and weakly-supervised video analysis.

• Research output: 32 publications (2015-2025), including 15 peer-reviewed articles and conference contributions
• Core research areas: Representation Learning (100% match), Knowledge Graph (100% match), Temporal Action Detection (86% match), and Motion Feature Learning (73% match)

Her recent work explores:

• 2025: Bandwidth-optimized VR streaming for edge devices
• 2024: Neural concept reasoning for image retrieval and avatar generation from sparse data
• 2023: Zero-shot scene graph generation and bias mitigation in visual QA