Distributed control for economic dispatch via saddle point dynamics and consensus algorithms. - Lu Bai 005; Maojiao Ye; Chao Sun 003; Guoqiang Hu 001 (CDC, 2016)

Distributed tracking of a non-minimally rigid formation for multi-agent systems. - Lu Bai 005; Fei Chen 008; Weiyao Lan (Int. J. Syst. Sci., 2017)

Distributed Continuous-time Resource Allocation with Time-varying Resources under Quadratic Cost Functions. - Lu Bai 005; Chao Sun 003; Zhi Feng; Guoqiang Hu 001 (CDC, 2018)

Manifold Regularized Stochastic Block Model. - Tiantian He 001; Lu Bai 005; Yew-Soon Ong (ICTAI, 2019)

A Multi-Task Gradient Descent Method for Multi-Label Learning. - Lu Bai 005; Yew-Soon Ong; Tiantian He 001; Abhishek Gupta 001 (CoRR, 2019)

Distributed Economic Dispatch Control via Saddle Point Dynamics and Consensus Algorithms. - Lu Bai 005; Maojiao Ye; Chao Sun 003; Guoqiang Hu 001 (IEEE Trans. Control. Syst. Technol., 2019)

Relational Thematic Clustering with Mutually Preferred Neighbors. - Tiantian He 001; Lu Bai 005; Yew-Soon Ong (CoRR, 2020)

Multi-task gradient descent for multi-task learning. - Lu Bai 005; Yew-Soon Ong; Tiantian He 001; Abhishek Gupta 001 (Memetic Comput., 2020)

Learning Conjoint Attentions for Graph Neural Nets. - Tiantian He 001; Yew Soon Ong; Lu Bai 005 (NeurIPS, 2021)

Graph Joint Attention Networks. - Tiantian He 001; Lu Bai 005; Yew-Soon Ong (CoRR, 2021)

From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. - Lu Bai 005; Wu Lin; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Cybern., 2022)

Vicinal Vertex Allocation for Matrix Factorization in Networks. - Tiantian He 001; Lu Bai 005; Yew-Soon Ong (IEEE Trans. Cybern., 2022)

Multi-Task Learning with Multi-Task Optimization. - Lu Bai 005; Abhishek Gupta 001; Yew-Soon Ong (CoRR, 2024)