Shaofan Liu

Orcid: 0000-0002-2705-7117

According to our database1, Shaofan Liu authored at least 14 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Efficient Map Fusion for Multiple Implicit SLAM Agents.
IEEE Trans. Intell. Veh., January, 2024

HVOFusion: Incremental Mesh Reconstruction Using Hybrid Voxel Octree.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Safe batch constrained deep reinforcement learning with generative adversarial network.
Inf. Sci., July, 2023

Fair Transfer Learning with Factor Variational Auto-Encoder.
Neural Process. Lett., June, 2023

SDFMAP: Neural Signed Distance Fields for Mapping and Positioning in Real-Time.
IROS, 2023

2022
Adversarially Training MCMC with Non-Volume-Preserving Flows.
Entropy, 2022

Safe Offline Reinforcement Learning Through Hierarchical Policies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Multi-step Domain Adaption Image Classification Network via Attention Mechanism and Multi-level Feature Alignment.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

2020
Pedestrian detection in underground mines via parallel feature transfer network.
Pattern Recognit., 2020

Incremental learning based multi-domain adaptation for object detection.
Knowl. Based Syst., 2020

Non-pre-trained Mine Pedestrian Detection Based on Automatic Generation of Anchor Box.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2020

Class-unbalanced domain adaptation for object detection via dynamic weighting mechanism.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
Accelerating MUS enumeration by inconsistency graph partitioning.
Sci. China Inf. Sci., 2019

2018
FMUS2: An Efficient Algorithm to Compute Minimal Unsatisfiable Subsets.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2018


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