Mingyuan Bai

According to our database, Mingyuan Bai authored at least 21 papers between 2017 and 2026.

Collaborative distances:

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

2026

Cluster-Level Attention-Guided Parallel Decoding for Masked Diffusion Language Models.

Heqiang Qi, Wei Huang, Mingyuan Bai, Xiangming Meng

CoRR, May, 2026

Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine.

Wei Huang, Andi Han, Mingyuan Bai, Huanjian Zhou, Qixin Zhang, Taiji Suzuki, Kenji Fukumizu

CoRR, May, 2026

Ensemble of Similar Differential Evolution Algorithms With Algorithm Replacement at Position Without Individual Replacement.

Chuchuan Cen, Chengjun Li, Junbin Gao, Mingyuan Bai, Shengxiang Yang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

2024

TendiffPure: a convolutional tensor-train denoising diffusion model for purification.

Mingyuan Bai, Derun Zhou, Qibin Zhao

Frontiers Inf. Technol. Electron. Eng., January, 2024

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP.

Jie Chen, Mingyuan Bai, Shouzhen Chen, Junbin Gao, Junping Zhang, Jian Pu

Trans. Mach. Learn. Res., 2024

Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts.

Andong Wang, Yuning Qiu, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance.

Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification.

Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Differential evolution with alternation between steady monopoly and transient competition of mutation strategies.

Chenxi Ye, Chengjun Li, Yang Li, Yufei Sun, Wenxuan Yang, Mingyuan Bai, Xuanyu Zhu, Jinghan Hu, Tingzi Chi, Hongbo Zhu, Luqi He

Swarm Evol. Comput., December, 2023

CSD-R<i>k</i>NN: reverse <i>k</i> nearest neighbors queries with conic section discriminances.

Yang Li, Mingyuan Bai, Qingfeng Guan, Zi Ming, Xun Liang, Gang Liu, Junbin Gao

Int. J. Geogr. Inf. Sci., October, 2023

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks.

Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Tensor Neural Controlled Differential Equations.

Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

LSTM-assisted evolutionary self-expressive subspace clustering.

Di Xu, Mingyuan Bai, Tianhang Long, Junbin Gao

Int. J. Mach. Learn. Cybern., 2021

Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications.

Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao

CoRR, 2021

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification.

Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao

CoRR, 2021

Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations.

Mingyuan Bai, Qibin Zhao, Junbin Gao

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries.

Yang Li, Gang Liu, Mingyuan Bai, Junbin Gao, Lixin Ye, Zi Ming

CoRR, 2020

2019

Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams.

Yang Li, Gang Liu, Junbin Gao, Zhenwen He, Mingyuan Bai, Chengjun Li

CoRR, 2019

Tensor-Train Parameterization for Ultra Dimensionality Reduction.

Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2017

Tensorial Recurrent Neural Networks for Longitudinal Data Analysis.

Mingyuan Bai, Boyan Zhang, Junbin Gao

CoRR, 2017

Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis.

Mingyuan Bai, Boyan Zhang, Junbin Gao

Proceedings of the Neural Information Processing - 24th International Conference, 2017