Siyu Qi

According to our database, Siyu Qi authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Integrating Arrhenius Constraints with Lineage-Aware Meta-Learning for Few-Shot Prediction of Temperature-Dependent Enzyme Kinetics.

Xuanhe Liu, Rui Zhou, Siyu Qi, Qiao Ning, Zhaohong Deng

J. Chem. Inf. Model., 2026

From bodily to digital co-presence: Unpacking the Interaction Ritual Chains of hashtag-driven group formation.

Jinyan Duan, Siyu Qi, Hongyu Yan, Chong Wu

Comput. Hum. Behav., 2026

2025

Morpho-Semantic Symbiosis in Chinese Characters: A Heterogeneous Graph Framework for Component Plasticity and Semantic Re-creation.

Xuanhe Liu, Qiuxiao Ni, Siyu Qi, Qiuyue Wang, Ruimin Lyu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Artificial Intelligence Technology as a Mediating Mechanism: Linking L2 Interest to Learner Autonomy in Pilots' Informal Digital Learning of English.

Siyu Qi, Bo Hu

Proceedings of the 2025 4th International Conference on Artificial Intelligence and Education, 2025

2024

Multi-objective constraints for path planning in screw fixation of scaphoid fractures.

Ruoxiu Xiao, Siyu Qi, Huayang Ren, Tong Lu, Cheng Chen

Comput. Biol. Medicine, 2024

UFed-GAN: Secure Federated Learning over Wireless Sensor Networks with Unlabeled Data.

Achintha Wijesinghe, Songyang Zhang, Siyu Qi, Zhi Ding

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

A learnable Gabor Convolution kernel for vessel segmentation.

Cheng Chen, Kangneng Zhou, Siyu Qi, Tong Lu, Ruoxiu Xiao

Comput. Biol. Medicine, May, 2023

FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation.

Hongyu Chen, Mingan Yu, Cheng Chen, Kangneng Zhou, Siyu Qi, Yunqing Chen, Ruoxiu Xiao

Comput. Biol. Medicine, February, 2023

Task-Driven Adaptation of Deep Learning Architectures

Siyu Qi

PhD thesis, 2023

A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification.

Siyu Qi, Achintha Wijesinghe, Lahiru D. Chamain, Zhi Ding

CoRR, 2023

UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data.

Achintha Wijesinghe, Songyang Zhang, Siyu Qi, Zhi Ding

CoRR, 2023

2022

End-to-End Image Classification and Compression With Variational Autoencoders.

Lahiru D. Chamain, Siyu Qi, Zhi Ding

IEEE Internet Things J., 2022

Hierarchical Training for Distributed Deep Learning Based on Multimedia Data over Band-Limited Networks.

Siyu Qi, Lahiru D. Chamain, Zhi Ding

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Machine Learning-based Automatic Graphene Detection with Color Correction for Optical Microscope Images.

Hui-Ying Siao, Siyu Qi, Zhi Ding, Chia-Yu Lin, Yu-Chiang Hsieh, Tse-Ming Chen

CoRR, 2021

An End-to-End Learning Architecture for Efficient Image Encoding and Deep Learning.

Lahiru D. Chamain, Siyu Qi, Zhi Ding

Proceedings of the 29th European Signal Processing Conference, 2021

Energy-Efficient VNF Deployment for Graph-Structured SFC Based on Graph Neural Network and Constrained Deep Reinforcement Learning.

Siyu Qi, Shuopeng Li, Shaofu Lin, Mohand Yazid Saidi, Ken Chen

Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021