Publications:

Journal

  1. Fei Han, Saad Elbeleidy, Hua Wang, Cang Ye, and Hao Zhang, "Learning of Holism-Landmark Graph Embedding for Place Recognition in Long-Term Autonomy," IEEE Robotics and Automation Letters (RA-L), accepted. [bibtex] [The contents of this paper were also selected by IROS'18 Program Committee for presentation at the Conference]
  2. Fei Han, Hua Wang, Guoquan Huang, and Hao Zhang, "Sequence-Based Sparse Optimization Methods for Long-Term Loop Closure Detection in Visual SLAM," Autonomous Robots (AuRo), accepted. [bibtex]
  3. Fei Han, Xue Yang, Yiming Deng, Mark Rentschler, Dejun Yang, and Hao Zhang, "SRAL: Shared Representative Appearance Learning for Long-Term Visual Place Recognition," IEEE Robotics and Automation Letters (RA-L), vol. 2, no. 2, pp. 1172-1179, April 2017 [bibtex] [project] [code]
  4. Fei Han, Brian Reily, William Hoff, and Hao Zhang, "Space-Time Representation of People Based on 3D Skeletal Data: A Review," Computer Vision and Image Understanding (CVIU), vol. 158, pp. 85-105, May 2017. [bibtex]
  5. Brian Reily*, Fei Han*, Lynne Parker, and Hao Zhang, "Skeleton-Based Bio-Inspired Human Activity Prediction For Real-Time Human-Robot Interaction," Autonomous Robots (AuRo), accepted. * Equal contribution [bibtex]
  6. Fei Han, Gang Feng, Yong Wang, Jianbin Qiu, and Changzhu Zhang, " A Novel Dropout Compensation Scheme for Control of Networked T-S Fuzzy Dynamic Systems," Fuzzy Sets and Systems (FSS), vol. 235, pp. 44-61, January 2014. [bibtex]

Highly Selective Conference

  1. Hao Zhang, Fei Han, and Hua Wang, "Robust multimodal sequence-based loop closure detection via structured sparsity," in Robotics: Science and Systems (RSS), 2016, (Acceptance Rate: 20.6%, Best Paper Finalist). [bibtex] [slides] [poster]

Refereed Conference

  1. Fei Han, Hua Wang, and Hao Zhang, "Learning of Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection," in AAAI Conference on Artificial Intelligence (AAAI), 2018, accepted. [bibtex]
  2. Fei Han, Xue Yang, Yu Zhang, and Hao Zhang, "Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making," in IEEE International Conference on Robotics and Automation (ICRA), 2017. [bibtex]
  3. Fei Han, Xue Yang, Christopher Reardon, Yu Zhang, and Hao Zhang, "Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors," in IEEE International Conference on Robotics and Automation (ICRA), 2017. [bibtex] [project] [code]
  4. Fei Han, Christopher Reardon, Lynne Parker, and Hao Zhang, "Minimum Uncertainty Latent Variable Models for Robot Recognition of Sequential Human Activities," in IEEE International Conference on Robotics and Automation (ICRA), 2017. [bibtex]
  5. Christopher Reardon, Fei Han, Hao Zhang, and Jonathan Fink, "Optimizing Autonomous Surveillance Route Solutions from Minimal Human-Robot Interaction," in IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2017, accepted. [bibtex]
  6. Fei Han, Christopher Dreyer, Thomas Jones, Rob Kelso, James Thomas, and Hao Zhang, "Data-Driven Fault Detection via Sparse Multisensory Learning," in AIAA Annual Technical Symposium (ATS), 2016. [bibtex]
  7. Xue Yang, Fei Han, Hua Wang, and Hao Zhang, " Enforcing template representability and temporal consistency for adaptive sparse tracking," in International Joint Conference on Artificial Intelligence (IJCAI), 2016. [bibtex]
  8. Hao Zhang, Christopher Reardon, Fei Han, and Lynne E. Parker "SRAC: Self-Reflective Risk-Aware Artificial Cognitive Models for Robot Response to Human Activities," in IEEE International Conference on Robotics and Automation (ICRA), 2016. [bibtex]
  9. Fei Han, Gang Feng, and Yong Wang, " H∞ filter design of networked nonlinear systems with communication constraints via T-S fuzzy dynamic models," in American Control Conference (ACC), 2013. [bibtex]
  10. Fei Han, Gang Feng, and Yong Wang, " Fuzzy modeling and control for a nonlinear quadrotor under network environment," in IEEE International Conference on CYBER Technology (IEEE-CYBER), 2014. [bibtex]

Workshop & Poster

  1. Fei Han and Hao Zhang, "Team Intent Understanding through Latent Representation Learning for Underground Search and Rescue," in Workshop of IEEE International Conference on Robotics and Automation (ICRA), 2018. [bibtex]
  2. Fei Han, Christopher Reardon, Cang Ye, and Hao Zhang, "Robot Understanding of Human Intents in Gesture-based Interaction," in Workshop of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. [bibtex]
  3. Fei Han, Jiayi Liu, William Hoff, and Hao Zhang, "Poster: Planning-based Workflow Modeling for AR-enabled Automated Task Guidance," in IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2017, accepted. [bibtex]
  4. Christopher Reardon, Fei Han, Hao Zhang, and Jonathan Fink, "Autonomous Surveillance Route Solutions from Minimal Human-Robot Interaction," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, poster. [bibtex]
  5. Fei Han, Xue Yang, Yiming Deng, Mark Rentschler, Dejun Yang, and Hao Zhang, "Life-Long Place Recognition by Shared Representative Appearance Learning," in Robotics: Science and Systems (RSS) Workshop of Visual Place Recognition: What is it Good For?, 2016. [bibtex] [project] [slides] [poster] [code]

Dissertation

  1. Title: Representation Learning For Long-Term Collaborative Autonomy
    Affiliation: Department of Computer Science, Colorado School of Mines
    Advisor: Professor Hao Zhang
    Year: 2018

  2. Title: Analysis and Synthesis of Networked Control Systems With Limited Communication Capacity
    Affiliation: Department of Mechanical and Biomedical Engineering (MBE), City University of Hong Kong
    Advisor: Professor Gang (Gary) Feng
    Year: 2014