Yizhuo Yang

Orcid: 0009-0000-9139-1542

Affiliations:
  • Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
  • University of Electronic Science and Technology of China (UESTC), Glasgow College, Chengdu, China


According to our database1, Yizhuo Yang authored at least 13 papers between 2022 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Following is All You Need: Robot Crowd Navigation Using People as Planners.
IEEE Robotics Autom. Lett., October, 2025

Label-Free Long-Horizon 3D UAV Trajectory Prediction via Motion-Aligned RGB and Event Cues.
CoRR, July, 2025

Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion.
CoRR, May, 2025

Robust Loop Closure by Textual Cues in Challenging Environments.
IEEE Robotics Autom. Lett., January, 2025

Unsupervised UAV 3D Trajectories Estimation with Sparse Point Clouds.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Eigen Is All You Need: Efficient Lidar-Inertial Continuous-Time Odometry With Internal Association.
IEEE Robotics Autom. Lett., June, 2024

A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning.
IEEE Trans. Instrum. Meas., 2024

AV-DTEC: Self-Supervised Audio-Visual Fusion for Drone Trajectory Estimation and Classification.
CoRR, 2024

Learning Dynamic Weight Adjustment for Spatial-Temporal Trajectory Planning in Crowd Navigation.
CoRR, 2024

ULOC: Learning to Localize in Complex Large-Scale Environments with Ultra-Wideband Ranges.
CoRR, 2024

MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness.
IROS, 2023

2022
Overcoming Catastrophic Forgetting for Semantic Segmentation Via Incremental Learning.
Proceedings of the 17th International Conference on Control, 2022


  Loading...