Sihang is a CS PhD student at NYU Courant (Shanghai Track), supervised by Professor Hongyi Wen in the MAPS Research Group. "Nagi" (凪), is his Japanese and English name. He focuses on using AI and human-computer interaction technologies to create personalized education systems and neurodiversity-friendly accessible designs. His goal is eliminating inequalities and difficulties in people’s education or daily life, and creating a more harmonious and inclusive world.
Publications
- Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He. Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 7535–7548, Miami, Florida, USA. Association for Computational Linguistics.
- Sihang Zhao, Shoucong Xiong, Bo Pang, Xiaoying Tang, Pinjia He. Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25), April 26-May 1, 2025, Yokohama, Japan.
Research Interests
- Human-Computer Interaction
- Ai for Learning
- Accessibility