Ambient environments for emotional physical communication. - Michelle Li; He Jianting (CHINZ, 2009)

Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection. - Jihang Sun; Haoyan Li; Bei Wang; Jianying Li; Michelle Li; Zuofu Zhou; Yun Peng 005 (BMC Medical Imaging, 2021)

The Benefits of Power Regularization in Cooperative Reinforcement Learning. - Michelle Li; Michael Dennis 001 (AAMAS, 2023)

XAIR: A Framework of Explainable AI in Augmented Reality. - Xuhai Xu; Anna Yu; Tanya R. Jonker; Kashyap Todi; Feiyu Lu; Xun Qian; João Marcelo Evangelista Belo; Tianyi Wang 004; Michelle Li; Aran Mun; Te-Yen Wu; Junxiao Shen; et al. (CHI, 2023)

The Waymo Open Sim Agents Challenge. - Nico Montali; John Lambert; Paul Mougin; Alex Kuefler; Nicholas Rhinehart; Michelle Li; Cole Gulino; Tristan Emrich; Zoey Yang; Shimon Whiteson; Brandyn White; Dragomir Anguelov (NeurIPS, 2023)

XAIR: A Framework of Explainable AI in Augmented Reality. - Xuhai Xu; Mengjie Yu; Tanya R. Jonker; Kashyap Todi; Feiyu Lu; Xun Qian; João Marcelo Evangelista Belo; Tianyi Wang 004; Michelle Li; Aran Mun; Te-Yen Wu; Junxiao Shen; et al. (CoRR, 2023)

Fidgets: Building Blocks for a Predictive UI Toolkit. - Joannes Chan; Chris De Paoli; Michelle Li; Tovi Grossman; Stephanie Santosa; Daniel Wigdor; Michael Glueck (Conference on Designing Interactive Systems, 2024)

OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs. - Jiahao Nick Li; Yan Xu; Tovi Grossman; Stephanie Santosa; Michelle Li (CHI, 2024)

Streamlined Video Object Detection with YOLOX YOLOV5 YOLOV7 and YOLOV8. - Seena Mohajeran; Hannah Ke; Jenna Ke; Michelle Li; Yu Bai; Macy Li (CoDIT, 2024)

Authoring LLM-Based Assistance for Real-World Contexts and Tasks. - Hai Dang; Ben Lafreniere; Tovi Grossman; Kashyap Todi; Michelle Li (IUI, 2025)