Harold Soh

According to our database1, Harold Soh authored at least 47 papers between 2006 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Multi-task trust transfer for human-robot interaction.
Int. J. Robotics Res., 2020

Refining Deep Generative Models via Wasserstein Gradient Flows.
CoRR, 2020

Event-Driven Visual-Tactile Sensing and Learning for Robots.
CoRR, 2020

TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition.
CoRR, 2020

Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration.
CoRR, 2020

The Evolutionary Dynamics of Independent Learning Agents in Population Games.
CoRR, 2020

ST-MNIST - The Spiking Tactile MNIST Neuromorphic Dataset.
CoRR, 2020

Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Modeling the Interplay of Trust and Attention in HRI: An Autonomous Vehicle Study.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

A Characteristic Function Approach to Deep Implicit Generative Modeling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Semantically-Regularized Logic Graph Embeddings.
CoRR, 2019

Applying Probabilistic Programming to Affective Computing.
CoRR, 2019

Deep language-based critiquing for recommender systems.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Embedding Symbolic Knowledge into Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach.
Proceedings of the International Conference on Robotics and Automation, 2019

Robot Capability and Intention in Trust-Based Decisions Across Tasks.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Hyperprior Induced Unsupervised Disentanglement of Latent Representations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.
Hum. Factors, 2018

Collaborative Filtering with Behavioral Models.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

The Transfer of Human Trust in Robot Capabilities across Tasks.
Proceedings of the Robotics: Science and Systems XIV, 2018

Generation meets recommendation: proposing novel items for groups of users.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Z-Transforms and its Inference on Partially Observable Point Processes.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Human Trust in Robot Capabilities across Tasks.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Planning with Trust for Human-Robot Collaboration.
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

2017
An open source adaptive user interface for network monitoring.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Deep Sequential Recommendation for Personalized Adaptive User Interfaces.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2015

2014
Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactile-Based Recognition.
IEEE Trans. Haptics, 2014

2013
iCharibot: Design and Field Trials of a Fundraising Robot.
Proceedings of the Social Robotics - 5th International Conference, 2013

Enhanced kinematic model for dexterous manipulation with an underactuated hand.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

When and how to help: An iterative probabilistic model for learning assistance by demonstration.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012
Online spatio-temporal Gaussian process experts with application to tactile classification.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Iterative temporal learning and prediction with the sparse online echo state gaussian process.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs).
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis.
IEEE Trans. Evol. Comput., 2010

2008
Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA.
Proceedings of the Advances in Electrical Engineering and Computational Science, 2008

2007
Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

Time-series infectious disease data analysis using SVM and genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Grid-based PSE for Engineering of Materials (GPEM).
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007

2006
moPGA: Towards a New Generation of Multi-objective Genetic Algorithms.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006


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