Siang Chen

Orcid: 0009-0001-7281-5837

According to our database1, Siang Chen authored at least 31 papers between 2019 and 2026.

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

2026
WaterSplat-SLAM: Photorealistic Monocular SLAM in Underwater Environment.
IEEE Robotics Autom. Lett., May, 2026

MG-Grasp: Metric-Scale Geometric 6-DoF Grasping Framework with Sparse RGB Observations.
CoRR, March, 2026

Rethinking 6-DoF grasp detection: A flexible framework for high-quality grasping.
Pattern Recognit., 2026

2025
Active-Perceptive Language-Oriented Grasp Policy for Heavily Cluttered Scenes.
IEEE Robotics Autom. Lett., November, 2025

Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Delayed Observation.
CoRR, May, 2025

Variation-Robust Few-Shot 3D Affordance Segmentation for Robotic Manipulation.
IEEE Robotics Autom. Lett., February, 2025

GAP-RL: Grasps as Points for RL Towards Dynamic Object Grasping.
IEEE Robotics Autom. Lett., January, 2025

Uncertainty-Aware Laser Stripe Segmentation With Nonlocal Mechanisms for Welding Robots.
IEEE Trans. Instrum. Meas., 2025

Efficient End-to-End 6-Dof Grasp Detection Framework for Edge Devices with Hierarchical Heatmaps and Feature Propagation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

FEG-VON: Frontier Embedding Graph for Efficient Visual Object Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Region-Centric 6-Dof Grasp Detection: A Data-Efficient Solution for Cluttered Scenes.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
Query-Guided Support Prototypes for Few-Shot 3D Indoor Segmentation.
IEEE Trans. Circuits Syst. Video Technol., June, 2024

Region-aware Grasp Framework with Normalized Grasp Space for 6-DoF Grasping in Cluttered Scene.
CoRR, 2024

Rethinking 6-Dof Grasp Detection: A Flexible Framework for High-Quality Grasping.
CoRR, 2024

Readon: a novel algorithm to identify read-through transcripts with long-read sequencing data.
Bioinform., 2024

Category-Agnostic Pose Estimation for Point Clouds.
Proceedings of the IEEE International Conference on Image Processing, 2024

Target-Oriented Object Grasping via Multimodal Human Guidance.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Region-aware Grasp Framework with Normalized Grasp Space for Efficient 6-DoF Grasping.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Part-Guided 3D RL for Sim2Real Articulated Object Manipulation.
IEEE Robotics Autom. Lett., November, 2023

Structured Term Pruning for Computational Efficient Neural Networks Inference.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes.
IEEE Robotics Autom. Lett., 2023

2022
Acceleration-Aware Fine-Grained Channel Pruning for Deep Neural Networks via Residual Gating.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Structured precision skipping: Accelerating convolutional neural networks with budget-aware dynamic precision selection.
J. Syst. Archit., 2022

Distribution-aware Low-bit Quantization for 3D Point Cloud Networks.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021
DPOQ: Dynamic Precision Onion Quantization.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Fine-Grained Channel Pruning for Deep Residual Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020


IdleSR: Efficient Super-Resolution Network with Multi-scale IdleBlocks.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DFQF: Data Free Quantization-aware Fine-tuning.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


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