activity
20112023
most citedUsing a multimode fiber as a high resolution, low loss spectrometer

198 citations · 427 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2023

ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction

Trung Hoang Le, Huiping Cao, Tran Cao Son

A plethora of approaches have been proposed for joint entity-relation (ER) extraction. Most of these methods largely depend on a large amount of manually annotated training data. H…

cs.AI2023★ 1 cited

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings

Hongpeng Cao, Yanbing Mao, Lui Sha +1

This paper proposes the Phy-DRL: a physics-regulated deep reinforcement learning (DRL) framework for safety-critical autonomous systems. The Phy-DRL has three distinguished invaria…

cs.LG2023★ 1 cited

Physical Deep Reinforcement Learning Towards Safety Guarantee

Hongpeng Cao, Yanbing Mao, Lui Sha +1

Deep reinforcement learning (DRL) has achieved tremendous success in many complex decision-making tasks of autonomous systems with high-dimensional state and/or action spaces. Howe…

cs.RO2023★ 1 cited

Flexible Gear Assembly With Visual Servoing and Force Feedback

Junjie Ming, Daniel Bargmann, Hongpeng Cao +1

Gear assembly is an essential but challenging task in industrial automation. This paper presents a novel two-stage approach for achieving high-precision and flexible gear assembly.…

physics.optics2023★ 8 cited

Parallel random LiDAR with spatial multiplexing of a many-mode laser

Kyungduk Kim, Yaniv Eliezer, Olivier Spitz +1

We propose and experimentally demonstrate parallel LiDAR using random intensity fluctuations from a highly multimode laser. We optimize a degenerate cavity to have many spatial mod…

cs.LG2022

Class-Specific Attention (CSA) for Time-Series Classification

Yifan Hao, Huiping Cao, K. Selcuk Candan +3

Most neural network-based classifiers extract features using several hidden layers and make predictions at the output layer by utilizing these extracted features. We observe that n…

cs.CV2022★ 1 cited

6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping

Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini +2

6D pose recognition has been a crucial factor in the success of robotic grasping, and recent deep learning based approaches have achieved remarkable results on benchmarks. However,…

cs.CR2013★ 1 cited

Determination of Multipath Security Using Efficient Pattern Matching

James Obert, Huiping Cao

Multipath routing is the use of multiple potential paths through a network in order to enhance fault tolerance, optimize bandwidth use, and improve security. Selecting data flow pa…

physics.optics2012★ 75 cited

Low-loss high-speed speckle reduction using a colloidal dispersion

Brandon Redding, Graham Allen, Eric R. Dufresne +1

We present a simple and robust approach to reduce laser speckle, which has limited the adoption of lasers in imaging and display applications. We use colloidal solutions that can q…

physics.optics2012★ 198 cited

Using a multimode fiber as a high resolution, low loss spectrometer

Brandon Redding, Hui Cao

We propose and demonstrate that a conventional multimode fiber can function as a high resolution, low loss spectrometer. The proposed spectrometer consists only of the fiber and a…

physics.optics2011★ 141 cited

Spatial coherence of random laser emission

Brandon Redding, Michael A. Choma, Hui Cao

We experimentally studied the spatial coherence of random laser emission from dye solutions containing nanoparticles. The spatial coherence, measured in a double-slit experiment, v…