Jiabin Lin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Incremental Learning

Stochastic Systems

Top Venues

IEEE Control. Syst. Lett.

IEEE Trans. Evol. Comput.

Publications

Jiabin Lin, Shana Moothedath
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints. CoRR (2024)
Chenquan Gan, Jiabin Lin, Da-Wen Huang, Qingyi Zhu, Liang Tian, Deepak Kumar Jain
Equipment classification based differential game method for advanced persistent threats in Industrial Internet of Things. Expert Syst. Appl. 236 (2024)
Jiabin Lin, Shana Moothedath
Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning. IEEE Control. Syst. Lett. 8 (2024)
Jiabin Lin, Karuna Anna Sajeevan, Bibek Acharya, Shana Moothedath, Ratul Chowdhury
Distributed Stochastic Contextual Bandits for Protein Drug Interaction. ICASSP (2024)
Geethu Joseph, Shana Moothedath, Jiabin Lin
Minimal Input Structural Modifications for Strongly Structural Controllability. CoRR (2023)
Jiabin Lin, Shana Moothedath
Distributed Stochastic Bandits with Hidden Contexts. ECC (2023)
Jiabin Lin, Shana Moothedath
Federated Stochastic Bandit Learning with Unobserved Context. CoRR (2023)
Jiabin Lin, Shana Moothedath
Feature Selection in Distributed Stochastic Linear Bandits. ACC (2023)
Jiabin Lin, Shana Moothedath
Distributed Stochastic Bandit Learning with Delayed Context Observation. ECC (2023)
Deyou Tang, Daqiang Tan, Weihao Xiao, Jiabin Lin, Juan Fu
KMC3 and CHTKC: Best Scenarios, Deficiencies, and Challenges in High-Throughput Sequencing Data Analysis. Algorithms 15 (4) (2022)
Jiabin Lin, Shana Moothedath
Distributed Stochastic Bandit Learning with Context Distributions. CoRR (2022)
Deyou Tang, Yucheng Li, Daqiang Tan, Juan Fu, Yelei Tang, Jiabin Lin, Rong Zhao, Hongli Du, Zhongming Zhao
KCOSS: an ultra-fast k-mer counter for assembled genome analysis. Bioinform. 38 (4) (2022)
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CDC (2022)
Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
Stochastic Conservative Contextual Linear Bandits. CoRR (2022)
Jiabin Lin, Hai-Lin Liu, Kay Chen Tan, Fangqing Gu
An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization. IEEE Trans. Cybern. 51 (6) (2021)
Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu
Multiobjective Multitasking Optimization Based on Incremental Learning. IEEE Trans. Evol. Comput. 24 (5) (2020)
Jiabin Lin, Hai-Lin Liu, Chaoda Peng
The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization. CIS (2017)
Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar (2013)