Exploiting Natural Language for Efficient Risk-Aware Multi-Robot SaR Planning. - Vikram Shree; Beatriz A. Asfora; Rachel Zheng; Samantha Hong; Jacopo Banfi; Mark Campbell 001 (IEEE Robotics Autom. Lett., 2021)

Graph-based Simultaneous Coverage and Exploration Planning for Fast Multi-robot Search. - Indraneel Patil; Rachel Zheng; Charvi Gupta; Jaekyung Song; Narendar Sriram; Katia P. Sycara (CoRR, 2023)

Multiple-Hypothesis Path Planning with Uncertain Object Detections. - Brian H. Wang; Beatriz A. Asfora; Rachel Zheng; Aaron Peng; Jacopo Banfi; Mark E. Campbell (CoRR, 2023)

Examining the Challenges in Archiving Instagram. - Rachel Zheng; Michele C. Weigle (CoRR, 2024)

Introducing Semantic Capability in LinkedIn's Content Search Engine. - Xin Yang; Rachel Zheng; Madhumitha Mohan; Sonali Bhadra; Pansul Bhatt; Lingyu Zhang; Rupesh Gupta (CoRR, 2024)

CloudPatch-7 Hyperspectral Dataset. - Hua Yan; Rachel Zheng; Brandon Boehm; Sameer Shaga; Derienne Black; Luis Cueva-Parra; Randy Russell; Olcay Kursun (IEEE DataPort, 2024)

Collection of a Hyperspectral Atmospheric Cloud Dataset and Enhancing Pixel Classification through Patch-Origin Embedding. - Hua Yan; Rachel Zheng; Shivaji Mallela; Randy Russell; Olcay Kursun (Remote. Sens., 2024)