Hexin Bai

According to our database, Hexin Bai authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach.

Weiyi Gong, Tao Sun, Hexin Bai, Jeng-Yuan Tsai, Haibin Ling, Qimin Yan

CoRR, 2024

Dynamic Denoising of Contrastive Learning for GNN-based Node Embedding.

Pinyi Zhang, Hexin Bai, Yu Dai, Haibin Ling, Kai Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

Graph neural network for Hamiltonian-based material property prediction.

Hexin Bai, Peng Chu, Jeng-Yuan Tsai, Nathan Wilson, Xiaofeng Qian, Qimin Yan, Haibin Ling

Neural Comput. Appl., 2022

2021

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark.

Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling

Int. J. Comput. Vis., 2021

GMOT-40: A Benchmark for Generic Multiple Object Tracking.

Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking.

Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019