Hang Xu

Orcid: 0000-0002-7159-1173

Affiliations:
  • Nanyang Technological University, Singapore


According to our database1, Hang Xu authored at least 12 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Shared Autonomy Assisted by Impedance-Driven Anisotropic Guidance Field.
IEEE Robotics Autom. Lett., July, 2026

BiKC+: Bimanual Hierarchical Imitation with Keypose-Conditioned Coordination-Aware Consistency Policies.
CoRR, January, 2026

BiKC+: Bimanual Hierarchical Imitation With Keypose-Conditioned Coordination-Aware Consistency Policies.
IEEE Trans Autom. Sci. Eng., 2026

2025
SViP: Sequencing Bimanual Visuomotor Policies with Object-Centric Motion Primitives.
CoRR, June, 2025

2024
BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation.
CoRR, 2024

2018
Distributed Machine Learning on Smart-Gateway Network toward Real-Time Smart-Grid Energy Management with Behavior Cognition.
ACM Trans. Design Autom. Electr. Syst., 2018

2017
A Multiagent Minority-Game-Based Demand-Response Management of Smart Buildings Toward Peak Load Reduction.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

A Microfluidic Cytometer for Complete Blood Count With a 3.2-Megapixel, 1.1- μm-Pitch Super-Resolution Image Sensor in 65-nm BSI CMOS.
IEEE Trans. Biomed. Circuits Syst., 2017

NucleiNet: A convolutional encoder-decoder network for bio-image denoising.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting.
Sensors, 2016

Distributed machine learning based smart-grid energy management with occupant cognition.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

A convolutional neural network based single-frame super-resolution for lensless blood cell counting.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016


  Loading...