110 citations · 232 across the 13 of their papers we have counts for
13 papers
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning
Kevin Huang, Sahin Lale, Ugo Rosolia +2
Current state-of-the-art model-based reinforcement learning algorithms use trajectory sampling methods, such as the Cross-Entropy Method (CEM), for planning in continuous control s…
Towards Cross-Cultural Analysis using Music Information Dynamics
Shlomo Dubnov, Kevin Huang, Cheng-i Wang
A music piece is both comprehended hierarchically, from sonic events to melodies, and sequentially, in the form of repetition and variation. Music from different cultures establish…
Accelerating Road Sign Ground Truth Construction with Knowledge Graph and Machine Learning
Ji Eun Kim, Cory Henson, Kevin Huang +2
Having a comprehensive, high-quality dataset of road sign annotation is critical to the success of AI-based Road Sign Recognition (RSR) systems. In practice, annotators often face…
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials
Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang +2
In the field of Artificial Intelligence (AI) and Machine Learning (ML), the approximation of unknown target functions using limited instances $S={(\mathbf{x^{(i)}…
Continuous Operator Authentication for Teleoperated Systems Using Hidden Markov Models
Junjie Yan, Kevin Huang, Kyle Lindgren +2
In this paper, we present a novel approach for continuous operator authentication in teleoperated robotic processes based on Hidden Markov Models (HMM). While HMMs were originally…
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Wenxuan Zhou, Kevin Huang, Tengyu Ma +1
Document-level relation extraction (RE) poses new challenges compared to its sentence-level counterpart. One document commonly contains multiple entity pairs, and one entity pair o…
Entity and Evidence Guided Relation Extraction for DocRED
Kevin Huang, Guangtao Wang, Tengyu Ma +1
Document-level relation extraction is a challenging task which requires reasoning over multiple sentences in order to predict relations in a document. In this paper, we pro-pose a…
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents
Ming Tu, Kevin Huang, Guangtao Wang +3
Interpretable multi-hop reading comprehension (RC) over multiple documents is a challenging problem because it demands reasoning over multiple information sources and explaining th…
Relation Module for Non-answerable Prediction on Question Answering
Kevin Huang, Yun Tang, Jing Huang +2
Machine reading comprehension(MRC) has attracted significant amounts of research attention recently, due to an increase of challenging reading comprehension datasets. In this paper…
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Xiaochen Hou, Jing Huang, Guangtao Wang +2
Aspect-level sentiment classification aims to identify the sentiment polarity towards a specific aspect term in a sentence. Most current approaches mainly consider the semantic inf…
Tracing crystal-field splittings in the rare earth-based intermetallic CeIrIn
Q. Y. Chen, C. H. P. Wen, Q. Yao +10
Crystal electric field states in rare earth intermetallics show an intricate entanglement with the many-body physics that occurs in these systems and that is known to lead to a ple…
Quantum Criticality and Inhomogeneous Magnetic Order in Fe-doped alpha-YbAlB4
D. E. MacLaughlin, K. Kuga, Lei Shu +7
The intermediate-valent polymorphs - and -YbAlB exhibit quantum criticality and other novel properties not usually associated with intermediate valence. Iron doping induc…
Pressure-induced enhancement of superconductivity and suppression of semiconducting behavior in Ln(O0.5F0.5)BiS2 (Ln = La, Ce) compounds
C. T. Wolowiec, D. Yazici, B. D. White +2
Electrical resistivity measurements as a function of temperature between 1 K and 300 K were performed at various pressures up to 3 GPa on the superconducting layered compounds Ln(O…