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20212025
most citedExploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning

18 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2025

Introducing Semantic Capability in LinkedIn's Content Search Engine

Xin Yang, Rachel Zheng, Madhumitha Mohan +5

In the past, most search queries issued to a search engine were short and simple. A keyword based search engine was able to answer such queries quite well. However, members are now…

cs.DL2024

Examining the Challenges in Archiving Instagram

Rachel Zheng, Michele C. Weigle

To prevent the spread of disinformation on Instagram, we need to study the accounts and content of disinformation actors. However, due to their malicious nature, Instagram often ba…

cs.RO2023★ 1 cited

Multiple-Hypothesis Path Planning with Uncertain Object Detections

Brian H. Wang, Beatriz Asfora, Rachel Zheng +3

Path planning in obstacle-dense environments is a key challenge in robotics, and depends on inferring scene attributes and associated uncertainties. We present a multiple-hypothesi…

cs.LG2023★ 3 cited

Decision Transformer under Random Frame Dropping

Kaizhe Hu, Ray Chen Zheng, Yang Gao +1

Controlling agents remotely with deep reinforcement learning~(DRL) in the real world is yet to come. One crucial stepping stone is to devise RL algorithms that are robust in the fa…

cs.RO2023★ 3 cited

Graph-based Simultaneous Coverage and Exploration Planning for Fast Multi-robot Search

Indraneel Patil, Rachel Zheng, Charvi Gupta +3

In large unknown environments, search operations can be much more time-efficient with the use of multi-robot fleets by parallelizing efforts. This means robots must efficiently per…

cs.RO2022

Extraneousness-Aware Imitation Learning

Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan +2

Visual imitation learning provides an effective framework to learn skills from demonstrations. However, the quality of the provided demonstrations usually significantly affects the…

cs.RO2021★ 18 cited

Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning

Vikram Shree, Beatriz Asfora, Rachel Zheng +3

The ability to develop a high-level understanding of a scene, such as perceiving danger levels, can prove valuable in planning multi-robot search and rescue (SaR) missions. In this…