Experimental Study on Approximation Algorithms for Guarding Sets of Line Segments. - Valentin E. Brimkov; Andrew Leach; Michael Mastroianni; Jimmy Wu (ISVC (1), 2010)

On the Approximability of a Geometric Set Cover Problem. - Valentin E. Brimkov; Andrew Leach; Jimmy Wu; Michael Mastroianni (Electron. Colloquium Comput. Complex., 2011)

Guarding a set of line segments in the plane. - Valentin E. Brimkov; Andrew Leach; Michael Mastroianni; Jimmy Wu (Theor. Comput. Sci., 2011)

Approximation algorithms for a geometric set cover problem. - Valentin E. Brimkov; Andrew Leach; Jimmy Wu; Michael Mastroianni (Discret. Appl. Math., 2012)

Offline Directed Steiner Network Problems on Dynamic Graphs. - Benjamin Weitz; Jimmy Wu; Nir Yosef (CoRR, 2016)

SegICP: Integrated deep semantic segmentation and pose estimation. - Jay Ming Wong; Vincent Kee; Tiffany Le; Syler Wagner; Gian Luca Mariottini; Abraham Schneider; Lei Hamilton; Rahul Chipalkatty; Mitchell Hebert; David M. S. Johnson; Jimmy Wu; Bolei Zhou; et al. (IROS, 2017)

Real-Time Object Pose Estimation with Pose Interpreter Networks. - Jimmy Wu; Bolei Zhou; Rebecca L. Russell; Vincent Kee; Syler Wagner; Mitchell Hebert; Antonio Torralba 001; David M. S. Johnson (IROS, 2018)

Expert identification of visual primitives used by CNNs during mammogram classification. - Jimmy Wu; Diondra Peck; Scott Hsieh; Vandana Dialani; Constance D. Lehman; Bolei Zhou; Vasilis Syrgkanis; Lester W. Mackey; Genevieve Patterson (Computer-Aided Diagnosis, 2018)

On Finding Dense Common Subgraphs. - Moses Charikar; Yonatan Naamad; Jimmy Wu (CoRR, 2018)

DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation. - Jimmy Wu; Bolei Zhou; Diondra Peck; Scott Hsieh; Vandana Dialani; Lester W. Mackey; Genevieve Patterson (CoRR, 2018)

Connectivity problems on heterogeneous graphs. - Jimmy Wu; Alex Khodaverdian; Benjamin Weitz; Nir Yosef (Algorithms Mol. Biol., 2019)

Implicit entity linking in tweets: An ad-hoc retrieval approach. - Hawre Hosseini; Tam T. Nguyen; Jimmy Wu; Ebrahim Bagheri (Appl. Ontology, 2019)

Spatial Action Maps for Mobile Manipulation. - Jimmy Wu; Xingyuan Sun; Andy Zeng 001; Shuran Song; Johnny Lee; Szymon Rusinkiewicz; Thomas A. Funkhouser (Robotics: Science and Systems, 2020)

Anomaly detection of defects on concrete structures with the convolutional autoencoder. - Jun Kang Chow; Zhaoyu Su; Jimmy Wu; Pin Siang Tan; Xin Mao; Yu-Hsing Wang (Adv. Eng. Informatics, 2020)

DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution. - Zhaoyu Su; Pin Siang Tan; Jun Kang Chow; Jimmy Wu; Yehur Cheong; Yu-Hsing Wang (CoRR, 2020)

Spatial Intention Maps for Multi-Agent Mobile Manipulation. - Jimmy Wu; Xingyuan Sun; Andy Zeng 001; Shuran Song; Szymon Rusinkiewicz; Thomas A. Funkhouser (ICRA, 2021)

SpaceCHI 2.0: Advancing Human-Computer Interaction Systems for Space Exploration. - Pat Pataranutaporn; Valentina Sumini; Melodie Yashar; Susanna Testa; Marianna Obrist; Scott Davidoff; Amber M. Paul; Dorit Donoviel; Jimmy Wu; Sands A. Fish; Ariel Ekblaw; Albrecht Schmidt 001; et al. (CHI Extended Abstracts, 2022)

Metric-Fair Classifier Derandomization. - Jimmy Wu; Yatong Chen; Yang Liu 018 (ICML, 2022)

Learning Pneumatic Non-Prehensile Manipulation With a Mobile Blower. - Jimmy Wu; Xingyuan Sun; Andy Zeng 001; Shuran Song; Szymon Rusinkiewicz; Thomas A. Funkhouser (IEEE Robotics Autom. Lett., 2022)

TidyBot: personalized robot assistance with large language models. - Jimmy Wu; Rika Antonova; Adam Kan; Marion Lepert; Andy Zeng 001; Shuran Song; Jeannette Bohg; Szymon Rusinkiewicz; Thomas A. Funkhouser (Auton. Robots, 2023)

TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning. - Jimmy Wu; William Chong; Robert Holmberg; Aaditya Prasad; Yihuai Gao; Oussama Khatib; Shuran Song; Szymon Rusinkiewicz; Jeannette Bohg (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)

EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. - Jingyun Yang; Congyue Deng; Jimmy Wu; Rika Antonova; Leonidas J. Guibas; Jeannette Bohg (ICRA, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation. - Aaditya Prasad; Kevin Lin; Jimmy Wu; Linqi Zhou; Jeannette Bohg (Robotics: Science and Systems, 2024)

Towards automatic urban tree inventory: Enhancing tree instance segmentation via moving object removal and a chord length-based DBH estimation approach. - Wai Yi Chau; Jun Kang Chow; Tun Jian Tan; Jimmy Wu; Mei Ling Leung; Pin Siang Tan; Siu Wai Chiu; Billy Chi Hang Hau; Hok Chuen Cheng; Yu-Hsing Wang (Comput. Electron. Agric., 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics. - Yixuan Huang; Christopher Agia; Jimmy Wu; Tucker Hermans; Jeannette Bohg (CoRR, 2024)

HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control. - Priya Sundaresan; Rhea Malhotra; Phillip Miao; Jingyun Yang; Jimmy Wu; Hengyuan Hu; Rika Antonova; Francis Engelmann; Dorsa Sadigh; Jeannette Bohg (CoRR, 2025)

Vision in Action: Learning Active Perception from Human Demonstrations. - Haoyu Xiong; Xiaomeng Xu; Jimmy Wu; Yifan Hou; Jeannette Bohg; Shuran Song (CoRR, 2025)

Constraint-Preserving Data Generation for Visuomotor Policy Learning. - Kevin Lin; Varun Ragunath; Andrew McAlinden; Aaditya Prasad; Jimmy Wu; Yuke Zhu; Jeannette Bohg (CoRR, 2025)