Michelle Li

16 papers A* 3A 3B 1C 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to Segment Liquids in Real-world Images.
CoRR
Jonas Li, Michelle Li, Luke Liu, Heng Fan
2025 A conf
Authoring LLM-Based Assistance for Real-World Contexts and Tasks.
IUI
Hai Dang, Ben Lafreniere, Tovi Grossman, Kashyap Todi, Michelle Li
2025 J jnl
Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model.
CoRR
Haotian Hang, Yueyang Shen, Vicky Zhu, Jose Cruz, Michelle Li
2025 B conf
Investigating Aggregated vs. Sequential Command Recommendation in Graphical User Interfaces.
Graphics Interface
Ben Lafreniere, Zachary J. Davis, Michelle Li, Junmeng Andrew Han, Tovi Grossman, Stephanie Santosa, Daniel Wigdor
2024 A conf
Fidgets: Building Blocks for a Predictive UI Toolkit.
Conference on Designing Interactive Systems
Joannes Chan, Chris De Paoli, Michelle Li, Tovi Grossman, Stephanie Santosa, Daniel Wigdor, Michael Glueck
2024 A* conf
OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs.
CHI
Jiahao Nick Li, Yan Xu, Tovi Grossman, Stephanie Santosa, Michelle Li
2024 J jnl
OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs.
CoRR
Jiahao Nick Li, Yan Xu, Tovi Grossman, Stephanie Santosa, Michelle Li
2024 C conf
Streamlined Video Object Detection with YOLOX YOLOV5 YOLOV7 and YOLOV8.
CoDIT
Seena Mohajeran, Hannah Ke, Jenna Ke, Michelle Li, Yu Bai, Macy Li
2024 J jnl
The Benefits of Power Regularization in Cooperative Reinforcement Learning.
CoRR
Michelle Li, Michael Dennis
2023 A conf
The Benefits of Power Regularization in Cooperative Reinforcement Learning.
AAMAS
Michelle Li, Michael Dennis
2023 A* conf
The Waymo Open Sim Agents Challenge.
NeurIPS
Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023 J jnl
The Waymo Open Sim Agents Challenge.
CoRR
Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
2023 A* conf
XAIR: A Framework of Explainable AI in Augmented Reality.
CHI
Xuhai Xu, Anna Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko
2023 J jnl
XAIR: A Framework of Explainable AI in Augmented Reality.
CoRR
Xuhai Xu, Mengjie Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko
2021 J jnl
Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection.
BMC Medical Imaging
Jihang Sun, Haoyan Li, Bei Wang, Jianying Li, Michelle Li, Zuofu Zhou, Yun Peng
2009 — conf
Ambient environments for emotional physical communication.
CHINZ
Michelle Li, He Jianting