Jiabin Lin

According to our database, Jiabin Lin authored at least 21 papers between 2017 and 2024.

Collaborative distances:

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

2024

Evolutionary Multitasking for Multiobjective Feature Selection in Classification.

Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang

IEEE Trans. Evol. Comput., December, 2024

Equipment classification based differential game method for advanced persistent threats in Industrial Internet of Things.

Chenquan Gan, Jiabin Lin, Da-Wen Huang, Qingyi Zhu, Liang Tian, Deepak Kumar Jain

Expert Syst. Appl., February, 2024

Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning.

Jiabin Lin, Shana Moothedath

IEEE Control. Syst. Lett., 2024

Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints.

Jiabin Lin, Shana Moothedath

CoRR, 2024

Federated Learning for Heterogeneous Bandits with Unobserved Contexts.

Jiabin Lin, Shana Moothedath

Proceedings of the IEEE International Symposium on Information Theory, 2024

Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits.

Jiabin Lin, Shana Moothedath, Namrata Vaswani

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

Distributed Stochastic Contextual Bandits for Protein Drug Interaction.

Jiabin Lin, Karuna Anna Sajeevan, Bibek Acharya, Shana Moothedath, Ratul Chowdhury

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Minimal Input Structural Modifications for Strongly Structural Controllability.

Geethu Joseph, Shana Moothedath, Jiabin Lin

CoRR, 2023

Federated Stochastic Bandit Learning with Unobserved Context.

Jiabin Lin, Shana Moothedath

CoRR, 2023

AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification.

Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

Distributed Stochastic Bandits with Hidden Contexts.

Jiabin Lin, Shana Moothedath

Proceedings of the European Control Conference, 2023

Distributed Stochastic Bandit Learning with Delayed Context Observation.

Jiabin Lin, Shana Moothedath

Proceedings of the European Control Conference, 2023

Feature Selection in Distributed Stochastic Linear Bandits.

Jiabin Lin, Shana Moothedath

Proceedings of the American Control Conference, 2023

2022

Distributed Stochastic Bandit Learning with Context Distributions.

Jiabin Lin, Shana Moothedath

CoRR, 2022

KCOSS: an ultra-fast k-mer counter for assembled genome analysis.

Deyou Tang, Yucheng Li, Daqiang Tan, Juan Fu, Yelei Tang, Jiabin Lin, Rong Zhao, Hongli Du, Zhongming Zhao

Bioinform., 2022

KMC3 and CHTKC: Best Scenarios, Deficiencies, and Challenges in High-Throughput Sequencing Data Analysis.

Deyou Tang, Daqiang Tan, Weihao Xiao, Jiabin Lin, Juan Fu

Algorithms, 2022

Multi-task optimisation for multi-objective feature selection in classification.

Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Stochastic Conservative Contextual Linear Bandits.

Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization.

Jiabin Lin, Hai-Lin Liu, Kay Chen Tan, Fangqing Gu

IEEE Trans. Cybern., 2021

2020

Multiobjective Multitasking Optimization Based on Incremental Learning.

Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu

IEEE Trans. Evol. Comput., 2020

2017

The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization.

Jiabin Lin, Hai-Lin Liu, Chaoda Peng

Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017