Xinyan Dai

According to our database, Xinyan Dai authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

2025

CEFFNet: A lightweight feature fusion convolutional neural network for remote sensing image scene classification.

Shengyu Zhao, Ye Liu, Xijun Yu, Xinyan Dai, Chao Xie

Signal Image Video Process., November, 2025

LSAGNet: lightweight self-attention guidance network for image super-resolution.

Shutong Ye, Yi Zhu, Mingming Zhang, Xinyan Dai, Shengyu Zhao, Chao Xie

Signal Image Video Process., June, 2025

ACTFormer: A Transformer Network With Attention and Convolutional Synergy for Remote Sensing Scene Classification.

Chao Xie, Shengyu Zhao, Shutong Ye, Yeqi Fei, Xinyan Dai, Yap-Peng Tan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2021

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs.

Han Yang, Xiao Yan, Xinyan Dai, Yongqiang Chen, James Cheng

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs.

Han Yang, Xiao Yan, Xinyan Dai, James Cheng

CoRR, 2020

Edit Distance Embedding using Convolutional Neural Networks.

Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng

CoRR, 2020

Convolutional Embedding for Edit Distance.

Xinyan Dai, Xiao Yan, Kaiwen Zhou, Yuxuan Wang, Han Yang, James Cheng

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

PMD: An Optimal Transportation-Based User Distance for Recommender Systems.

Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen

Proceedings of the Advances in Information Retrieval, 2020

Understanding and Improving Proximity Graph Based Maximum Inner Product Search.

Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jiu Liu, James Cheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning.

Xinyan Dai, Xiao Yan, Kaiwen Zhou, Han Yang, Kelvin Kai Wing Ng, James Cheng, Yu Fan

CoRR, 2019

Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Xinyan Dai, Xiao Yan, Kelvin Kai Wing Ng, Jie Liu, James Cheng

CoRR, 2019

2018

Norm-Range Partition: A Univiseral Catalyst for LSH based Maximum Inner Product Search (MIPS).

Xiao Yan, Xinyan Dai, Jie Liu, Kaiwen Zhou, James Cheng

CoRR, 2018

Norm-Ranging LSH for Maximum Inner Product Search.

Xiao Yan, Jinfeng Li, Xinyan Dai, Hongzhi Chen, James Cheng

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018