Lu Bai

13 papers A* 1B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Multi-Task Learning with Multi-Task Optimization.
CoRR
Lu Bai, Abhishek Gupta, Yew-Soon Ong
2022 J jnl
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence.
IEEE Trans. Cybern.
Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong
2022 J jnl
Vicinal Vertex Allocation for Matrix Factorization in Networks.
IEEE Trans. Cybern.
Tiantian He, Lu Bai, Yew-Soon Ong
2021 J jnl
Graph Joint Attention Networks.
CoRR
Tiantian He, Lu Bai, Yew-Soon Ong
2021 A* conf
Learning Conjoint Attentions for Graph Neural Nets.
NeurIPS
Tiantian He, Yew Soon Ong, Lu Bai
2020 J jnl
Multi-task gradient descent for multi-task learning.
Memetic Comput.
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2020 J jnl
Relational Thematic Clustering with Mutually Preferred Neighbors.
CoRR
Tiantian He, Lu Bai, Yew-Soon Ong
2019 J jnl
A Multi-Task Gradient Descent Method for Multi-Label Learning.
CoRR
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2019 J jnl
Distributed Economic Dispatch Control via Saddle Point Dynamics and Consensus Algorithms.
IEEE Trans. Control. Syst. Technol.
Lu Bai, Maojiao Ye, Chao Sun, Guoqiang Hu
2019 B conf
Manifold Regularized Stochastic Block Model.
ICTAI
Tiantian He, Lu Bai, Yew-Soon Ong
2018 — conf
Distributed Continuous-time Resource Allocation with Time-varying Resources under Quadratic Cost Functions.
CDC
Lu Bai, Chao Sun, Zhi Feng, Guoqiang Hu
2017 J jnl
Distributed tracking of a non-minimally rigid formation for multi-agent systems.
Int. J. Syst. Sci.
Lu Bai, Fei Chen, Weiyao Lan
2016 — conf
Distributed control for economic dispatch via saddle point dynamics and consensus algorithms.
CDC
Lu Bai, Maojiao Ye, Chao Sun, Guoqiang Hu