Xiangbin Zhu

Orcid: 0000-0001-7281-6680

According to our database1, Xiangbin Zhu authored at least 12 papers between 2006 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Unsupervised cycle-consistent adversarial attacks for visual object tracking.
Displays, December, 2023

Reward poisoning attacks in deep reinforcement learning based on exploration strategies.
Neurocomputing, October, 2023

Enhanced semantic feature pyramid network for small object detection.
Signal Process. Image Commun., April, 2023

Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation.
CoRR, 2023

2022
Locating Sources in Multiplex Networks for Linear Diffusion Systems.
IEEE Trans. Netw. Sci. Eng., 2022

Black-Box Reward Attacks Against Deep Reinforcement Learning Based on Successor Representation.
IEEE Access, 2022

2013
Combining Dynamic Reward Shaping and Action Shaping for Coordinating Multi-agent Learning.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2013

Predicting tumor location from prone to supine breast MRI using a simulation of breast deformation.
Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2008
Shape Matching Based on Ant Colony Optimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2008

2007
Shape Recognition Based on Skeleton and Support Vector Machines.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Pheromone Based Energy Aware Directed Diffusion Algorithm for Wireless Sensor Network.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007

2006
A Motion Blending Approach Based on Unsupervised Clustering.
Proceedings of the 16th International Conference on Artificial Reality and Telexistence, 2006


  Loading...