Siang Chen

According to our database, Siang Chen authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking 6-DoF grasp detection: A flexible framework for high-quality grasping.

Pengwei Xie, Siang Chen, Wei Tang, Kaiqin Yang, Guijin Wang

Pattern Recognit., 2026

2025

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

Songchen Fu, Siang Chen, Shaojing Zhao, Letian Bai, Ta Li, YongHong Yan

CoRR, May, 2025

Variation-Robust Few-Shot 3D Affordance Segmentation for Robotic Manipulation.

Dingchang Hu, Tianyu Sun, Pengwei Xie, Siang Chen, Huazhong Yang, Guijin Wang

IEEE Robotics Autom. Lett., February, 2025

GAP-RL: Grasps as Points for RL Towards Dynamic Object Grasping.

Pengwei Xie, Siang Chen, Qianrun Chen, Wei Tang, Dingchang Hu, Yixiang Dai, Rui Chen, Guijin Wang

IEEE Robotics Autom. Lett., January, 2025

Uncertainty-Aware Laser Stripe Segmentation With Nonlocal Mechanisms for Welding Robots.

Yixiang Dai, Siang Chen, Tianyu Sun, Zimo Fan, Chun Zhang, Xiaobing Feng, Guijin Wang

IEEE Trans. Instrum. Meas., 2025

Efficient End-to-End 6-Dof Grasp Detection Framework for Edge Devices with Hierarchical Heatmaps and Feature Propagation.

Kaiqin Yang, Yixiang Dai, Guijin Wang, Siang Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

Query-Guided Support Prototypes for Few-Shot 3D Indoor Segmentation.

Dingchang Hu, Siang Chen, Huazhong Yang, Guijin Wang

IEEE Trans. Circuits Syst. Video Technol., June, 2024

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

Siang Chen, Pengwei Xie, Wei Tang, Dingchang Hu, Guijin Wang

CoRR, 2024

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

Wei Tang, Siang Chen, Pengwei Xie, Dingchang Hu, Wenming Yang, Guijin Wang

CoRR, 2024

Category-Agnostic Pose Estimation for Point Clouds.

Bowen Liu, Wei Liu, Siang Chen, Pengwei Xie, Guijin Wang

Proceedings of the IEEE International Conference on Image Processing, 2024

Target-Oriented Object Grasping via Multimodal Human Guidance.

Pengwei Xie, Siang Chen, Yixiang Dai, Dingchang Hu, Kaiqin Yang, Guijin Wang

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Region-aware Grasp Framework with Normalized Grasp Space for Efficient 6-DoF Grasping.

Siang Chen, Pengwei Xie, Wei Tang, Dingchang Hu, Yixiang Dai, Guijin Wang

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Part-Guided 3D RL for Sim2Real Articulated Object Manipulation.

Pengwei Xie, Rui Chen, Siang Chen, Yuzhe Qin, Fanbo Xiang, Tianyu Sun, Jing Xu, Guijin Wang, Hao Su

IEEE Robotics Autom. Lett., November, 2023

Structured Term Pruning for Computational Efficient Neural Networks Inference.

Kai Huang, Bowen Li, Siang Chen, Luc Claesen, Wei Xi, Junjian Chen, Xiaowen Jiang, Zhili Liu, Dongliang Xiong, Xiaolang Yan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes.

Siang Chen, Wei Tang, Pengwei Xie, Wenming Yang, Guijin Wang

IEEE Robotics Autom. Lett., 2023

2022

Acceleration-Aware Fine-Grained Channel Pruning for Deep Neural Networks via Residual Gating.

Kai Huang, Siang Chen, Bowen Li, Luc Claesen, Hao Yao, Junjian Chen, Xiaowen Jiang, Zhili Liu, Dongliang Xiong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Structured precision skipping: Accelerating convolutional neural networks with budget-aware dynamic precision selection.

Kai Huang, Siang Chen, Bowen Li, Luc Claesen, Hao Yao, Junjian Chen, Xiaowen Jiang, Zhili Liu, Dongliang Xiong

J. Syst. Archit., 2022

Distribution-aware Low-bit Quantization for 3D Point Cloud Networks.

Dingchang Hu, Siang Chen, Huazhong Yang, Guijin Wang

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

2021

DPOQ: Dynamic Precision Onion Quantization.

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Luc Claesen

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Fine-Grained Channel Pruning for Deep Residual Neural Networks.

Siang Chen, Kai Huang, Dongliang Xiong, Bowen Li, Luc Claesen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.

Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

IdleSR: Efficient Super-Resolution Network with Multi-scale IdleBlocks.

Dongliang Xiong, Kai Huang, Haitian Jiang, Bowen Li, Siang Chen, Xiaowen Jiang

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adaptive Hybrid Composition Based Super-Resolution Network via Fine-Grained Channel Pruning.

Siang Chen, Kai Huang, Bowen Li, Dongliang Xiong, Haitian Jiang, Luc Claesen

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DFQF: Data Free Quantization-aware Fine-tuning.

Bowen Li, Kai Huang, Siang Chen, Dongliang Xiong, Haitian Jiang, Luc Claesen

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

NoUCSR: Efficient Super-Resolution Network without Upsampling Convolution.

Dongliang Xiong, Kai Huang, Siang Chen, Bowen Li, Haitian Jiang, Wenyuan Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019