Trajectory-based Visual Analytics for Anomalous Human Movement Analysis using Social Media. - Junghoon Chae; Yuchen Cui; Yun Jang; Guizhen Wang; Abish Malik; David S. Ebert (EuroVA@EuroVis, 2015)

Indoor Follow Me Drone. - Wenguang Mao; Zaiwei Zhang; Lili Qiu; Jian He; Yuchen Cui; Sangki Yun (MobiSys, 2017)

Risk-Aware Active Inverse Reinforcement Learning. - Daniel S. Brown; Yuchen Cui; Scott Niekum (CoRL, 2018)

Active Reward Learning from Critiques. - Yuchen Cui; Scott Niekum (ICRA, 2018)

Modeling sensory-motor decisions in natural behavior. - Ruohan Zhang; Shun Zhang; Matthew H. Tong; Yuchen Cui; Constantin A. Rothkopf; Dana H. Ballard; Mary M. Hayhoe (PLoS Comput. Biol., 2018)

Uncertainty-Aware Data Aggregation for Deep Imitation Learning. - Yuchen Cui; David Isele; Scott Niekum; Kikuo Fujimura (ICRA, 2019)

Research on Adaptive Multi-Source Information Fault-Tolerant Navigation Method Based on No-Reference System Diagnosis. - Ling Zhang; Yuchen Cui; Zhi Xiong; Jianye Liu; Jizhou Lai; Pin Lv (Sensors, 2019)

The EMPATHIC Framework for Task Learning from Implicit Human Feedback. - Yuchen Cui; Qiping Zhang; W. Bradley Knox; Alessandro Allievi; Peter Stone 001; Scott Niekum (CoRL, 2020)

Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback. - Yuchen Cui; Qiping Zhang; Sahil Jain; Alessandro Allievi; Peter Stone 001; Scott Niekum; W. Bradley Knox (AAAI, 2021)

Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning. - Yuchen Cui; Pallavi Koppol; Henny Admoni; Scott Niekum; Reid G. Simmons; Aaron Steinfeld; Tesca Fitzgerald (IJCAI, 2021)

Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? - Yuchen Cui; Scott Niekum; Abhinav Gupta 001; Vikash Kumar; Aravind Rajeswaran (L4DC, 2022)

HYDRA: Hybrid Robot Actions for Imitation Learning. - Suneel Belkhale; Yuchen Cui; Dorsa Sadigh (CoRL, 2023)

Gesture-Informed Robot Assistance via Foundation Models. - Li-Heng Lin; Yuchen Cui; Yilun Hao; Fei Xia 002; Dorsa Sadigh (CoRL, 2023)

No, to the Right: Online Language Corrections for Robotic Manipulation via Shared Autonomy. - Yuchen Cui; Siddharth Karamcheti; Raj Palleti; Nidhya Shivakumar; Percy Liang; Dorsa Sadigh (HRI, 2023)

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. - Yilun Hao; Ruinan Wang; Zhangjie Cao; Zihan Wang; Yuchen Cui; Dorsa Sadigh (IROS, 2023)

Data Quality in Imitation Learning. - Suneel Belkhale; Yuchen Cui; Dorsa Sadigh (NeurIPS, 2023)

Contribution-based Test Case Reduction Strategy for Mutation-based Fault Localization (S). - Haifeng Wang; Kun Yang; Xiangnan Zhao; Yuchen Cui; Weiwei Wang (SEKE, 2023)

FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning. - Li-Heng Lin; Yuchen Cui; Amber Xie; Tianyu Hua; Dorsa Sadigh (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections. - Lihan Zha; Yuchen Cui; Li-Heng Lin; Minae Kwon; Montserrat Gonzalez Arenas; Andy Zeng 001; Fei Xia 002; Dorsa Sadigh (ICRA, 2024)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. - Zhi Zhang 012; Chris Chow; Yasi Zhang; Yanchao Sun; Haochen Zhang; Eric Hanchen Jiang; Han Liu 001; Furong Huang; Yuchen Cui; Oscar Hernan Madrid Padilla (CoRR, 2024)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory. - Zhi Zhang 012; Chris Chow; Yasi Zhang; Yanchao Sun; Haochen Zhang; Eric Hanchen Jiang; Han Liu 001; Furong Huang; Yuchen Cui; Oscar Hernan Madrid Padilla (AISTATS, 2025)

SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos. - Joshua Li 002; Fernando Jose Pena Cantu; Emily Yu; Alexander Wong; Yuchen Cui; Yuhao Chen 001 (CVPR Workshops, 2025)

Shared Autonomy for Proximal Teaching. - Megha Srivastava; Reihaneh Iranmanesh; Yuchen Cui; Deepak Edakkattil Gopinath; Emily Sarah Sumner; Andrew Silva; Laporsha Dees; Guy Rosman; Dorsa Sadigh (HRI, 2025)

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning. - Haozhuo Li; Yuchen Cui; Dorsa Sadigh (CoRR, 2025)

GraphPad: Inference-Time 3D Scene Graph Updates for Embodied Question Answering. - Muhammad Qasim Ali; Saeejith Nair; Alexander Wong; Yuchen Cui; Yuhao Chen 001 (CoRR, 2025)

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models. - Huihan Liu; Rutav Shah; Shuijing Liu; Jack Pittenger; Mingyo Seo; Yuchen Cui; Yonatan Bisk; Roberto Martín-Martín; Yuke Zhu (CoRR, 2025)