Dong Huang

Orcid: 0000-0002-4275-3006

Affiliations:
  • University of Hong Kong, Department of Computer Computer Scienc, China


According to our database1, Dong Huang authored at least 22 papers between 2022 and 2025.

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

Timeline

Legend:

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Bibliography

2025
OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robots in Dynamic Environments via State Space Model.
IEEE Robotics Autom. Lett., February, 2025

2024
HE-Nav: A High-Performance and Efficient Navigation System for Aerial-Ground Robots in Cluttered Environments.
IEEE Robotics Autom. Lett., November, 2024

Neuron Sensitivity-Guided Test Case Selection.
ACM Trans. Softw. Eng. Methodol., September, 2024

Effi-Code: Unleashing Code Efficiency in Language Models.
CoRR, 2024

Rethinking the Influence of Source Code on Test Case Generation.
CoRR, 2024

OMEGA: Efficient Occlusion-Aware Navigation for Air-Ground Robot in Dynamic Environments via State Space Model.
CoRR, 2024

Hybrid-Parallel: Achieving High Performance and Energy Efficient Distributed Inference on Robots.
CoRR, 2024

SOAP: Enhancing Efficiency of Generated Code via Self-Optimization.
CoRR, 2024

Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability.
CoRR, 2024

EffiBench: Benchmarking the Efficiency of Automatically Generated Code.
CoRR, 2024

Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Adversarial Feature Map Pruning for Backdoor.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.
CoRR, 2023

Bias Assessment and Mitigation in LLM-based Code Generation.
CoRR, 2023

CodeCoT and Beyond: Learning to Program and Test like a Developer.
CoRR, 2023

FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks.
CoRR, 2023

Feature Map Testing for Deep Neural Networks.
CoRR, 2023

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing.
CoRR, 2023

Towards Building More Robust Models with Frequency Bias.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training.
IEEE Trans. Parallel Distributed Syst., 2022

Two Heads are Better than One: Robust Learning Meets Multi-branch Models.
CoRR, 2022


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