Hao Zhang

Orcid: 0000-0001-8043-9184

Affiliations:
  • University of Massachusetts Amherst, MA, USA
  • Colorado School of Mines, Department of Electrical Engineering and Computer Science, Human-Centered Robotics Laboratory, Golden, CO, USA (former)
  • University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA (former)


According to our database1, Hao Zhang authored at least 78 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Self-reflective terrain-aware robot adaptation for consistent off-road ground navigation.
Int. J. Robotics Res., 2024

Multi-Robot Collaborative Navigation with Formation Adaptation.
CoRR, 2024

2023
Uncertainty-aware correspondence identification for collaborative perception.
Auton. Robots, June, 2023

Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction.
CoRR, 2023

Failure Explanation in Privacy-Sensitive Contexts: An Integrated Systems Approach.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Collaborative Scheduling with Adaptation to Failure for Heterogeneous Robot Teams.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Robot perceptual adaptation to environment changes for long-term human teammate following.
Int. J. Robotics Res., 2022

Real-time recognition of team behaviors by multisensory graph-embedded robot learning.
Int. J. Robotics Res., 2022

Correspondence identification for collaborative multi-robot perception under uncertainty.
Auton. Robots, 2022

NAUTS: Negotiation for Adaptation to Unstructured Terrain Surfaces.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Robust Real-Time Group Activity Recognition of Robot Teams.
IEEE Robotics Autom. Lett., 2021

Robot Adaptation for Generating Consistent Navigational Behaviors over Unstructured Off-Road Terrain.
CoRR, 2021

Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

An Integrated Approach to Context-Sensitive Moral Cognition in Robot Cognitive Architectures.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Edge-Assisted Collaborative Perception in Autonomous Driving: A Reflection on Communication Design.
Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Team Assignment for Heterogeneous Multi-Robot Sensor Coverage through Graph Representation Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adaptation to Team Composition Changes for Heterogeneous Multi-Robot Sensor Coverage.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Enhancing Consistent Ground Maneuverability by Robot Adaptation to Complex Off-Road Terrains.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Learning Robust Multilabel Sample Specific Distances for Identifying HIV-1 Drug Resistance.
J. Comput. Biol., 2020

Game Theoretic Decentralized and Communication-Free Multi-Robot Navigation.
CoRR, 2020

Simultaneous View and Feature Selection for Collaborative Multi-Robot Recognition.
CoRR, 2020

Leading Multi-Agent Teams to Multiple Goals While Maintaining Communication.
Proceedings of the Robotics: Science and Systems XVI, 2020

Regularized Graph Matching for Correspondence Identification under Uncertainty in Collaborative Perception.
Proceedings of the Robotics: Science and Systems XVI, 2020

Voxel-Based Representation Learning for Place Recognition Based on 3D Point Clouds.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Correspondence Identification in Collaborative Robot Perception through Maximin Hypergraph Matching.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Long-term Place Recognition through Worst-case Graph Matching to Integrate Landmark Appearances and Spatial Relationships.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Visual Reference of Ambiguous Objects for Augmented Reality-Powered Human-Robot Communication in a Shared Workspace.
Proceedings of the Virtual, Augmented and Mixed Reality. Design and Interaction, 2020

Long-Term Loop Closure Detection through Visual-Spatial Information Preserving Multi-Order Graph Matching.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Robots Can Teach Students With Intellectual Disabilities: Educational Benefits of Using Robotic and Augmented Reality Applications.
IEEE Robotics Autom. Mag., 2019

Collaborative Localization for Occluded Objects in Connected Vehicular Platform.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance.
Proceedings of the Research in Computational Molecular Biology, 2019

Scalable Representation Learning for Long-Term Augmented Reality-Based Information Delivery in Collaborative Human-Robot Perception.
Proceedings of the Virtual, Augmented and Mixed Reality. Applications and Case Studies, 2019

Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy.
IEEE Robotics Autom. Lett., 2018

Shaping of Shared Autonomous Solutions With Minimal Interaction.
Frontiers Neurorobotics, 2018

Skeleton-based bio-inspired human activity prediction for real-time human-robot interaction.
Auton. Robots, 2018

Sequence-based sparse optimization methods for long-term loop closure detection in visual SLAM.
Auton. Robots, 2018

Omnidirectional Multisensory Perception Fusion for Long-Term Place Recognition.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SRAL: Shared Representative Appearance Learning for Long-Term Visual Place Recognition.
IEEE Robotics Autom. Lett., 2017

Real-time gymnast detection and performance analysis with a portable 3D camera.
Comput. Vis. Image Underst., 2017

Space-time representation of people based on 3D skeletal data: A review.
Comput. Vis. Image Underst., 2017

Multisensory Omni-directional Long-term Place Recognition: Benchmark Dataset and Analysis.
CoRR, 2017

Optimizing autonomous surveillance route solutions from minimal human-robot interaction.
Proceedings of the IEEE International Symposium on Safety, Security and Rescue Robotics, 2017

Planning-Based Workflow Modeling for AR-enabled Automated Task Guidance.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Sequence-based multimodal apprenticeship learning for robot perception and decision making.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Simultaneous Feature and Body-Part Learning for real-time robot awareness of human behaviors.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Minimum uncertainty latent variable models for robot recognition of sequential human activities.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
CoDe4D: Color-Depth Local Spatio-Temporal Features for Human Activity Recognition From RGB-D Videos.
IEEE Trans. Circuits Syst. Video Technol., 2016

Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors.
CoRR, 2016

Web-video-mining-supported workflow modeling for laparoscopic surgeries.
Artif. Intell. Medicine, 2016

Robust Multimodal Sequence-Based Loop Closure Detection via Structured Sparsity.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Unified robot learning of action labels and motion trajectories from 3D human skeletal data.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Learning Object and State Models for AR Task Guidance.
Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality, 2016

Enforcing Template Representability and Temporal Consistency for Adaptive Sparse Tracking.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

SRAC: Self-Reflective Risk-Aware Artificial Cognitive models for robot response to human activities.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Correlation range query for effective recommendations.
World Wide Web, 2015

Fuzzy Temporal Segmentation and Probabilistic Recognition of Continuous Human Daily Activities.
IEEE Trans. Hum. Mach. Syst., 2015

CORE: A dataset of critical objects for response to emergency.
Proceedings of the 2015 IEEE International Symposium on Safety, 2015

Response prompting for intelligent robot instruction of students with intellectual disabilities.
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

Feature Space Decomposition for effective robot adaptation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Adaptive human-centered representation for activity recognition of multiple individuals from 3D point cloud sequences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Bio-inspired predictive orientation decomposition of skeleton trajectories for real-time human activity prediction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Fuzzy segmentation and recognition of continuous human activities.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Simplex-Based 3D Spatio-temporal Feature Description for Action Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Real-Time Multiple Human Perception With Color-Depth Cameras on a Mobile Robot.
IEEE Trans. Cybern., 2013

Correlation Range Query.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Zebrafish Larva Locomotor Activity Analysis Using Machine Learning Techniques.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Approximate l-Fold Cross-Validation with Least Squares SVM and Kernel Ridge Regression.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
Regularized Probabilistic Latent Semantic Analysis with Continuous Observations.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
4-dimensional local spatio-temporal features for human activity recognition.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011


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