Jiabin Lin - RankMe

30 papers A* 1B 1C 2Misc 1Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolutionary multitasking for multi-objective feature selection in fish chemical analysis. Appl. Soft Comput. Jiabin Lin, Qi Chen, Bing Xue, Jeremy S. Rooney, Mengjie Zhang, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2025	J	`jnl`	Analysis of attack-defense game for advanced malware propagation control in cloud. Comput. Commun. Liang Tian, Chenquan Gan, Jiabin Lin, Fengjun Shang, Qingyi Zhu
2025	J	`jnl`	Distributed Multi-Task Learning for Stochastic Bandits With Context Distribution and Stage-Wise Constraints. IEEE Trans. Signal Inf. Process. over Networks Jiabin Lin, Shana Moothedath
2025	J	`jnl`	Evolutionary Sequential Transfer Learning for Multi-Objective Feature Selection in Classification. IEEE Trans. Emerg. Top. Comput. Intell. Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2025	J	`jnl`	Provable Active Multi-Task Representation Learning. IEEE Trans. Signal Process. Jiabin Lin, Shana Moothedath, Tuan Anh Le
2024	—	`conf`	Analysis of Computer Virus Propagation in Social Internet of Things. ADMA (1) Luis Martes Calderon, Chenquan Gan, Jiabin Lin, Wei Yang, Deepak Kumar Jain
2024	J	`jnl`	Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints. CoRR Jiabin Lin, Shana Moothedath
2024	Misc	`conf`	Distributed Stochastic Contextual Bandits for Protein Drug Interaction. ICASSP Jiabin Lin, Karuna Anna Sajeevan, Bibek Acharya, Shana Moothedath, Ratul Chowdhury
2024	J	`jnl`	Equipment classification based differential game method for advanced persistent threats in Industrial Internet of Things. Expert Syst. Appl. Chenquan Gan, Jiabin Lin, Da-Wen Huang, Qingyi Zhu, Liang Tian, Deepak Kumar Jain
2024	J	`jnl`	Evolutionary Multitasking for Multiobjective Feature Selection in Classification. IEEE Trans. Evol. Comput. Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2024	A*	`conf`	Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits. ICML Jiabin Lin, Shana Moothedath, Namrata Vaswani
2024	J	`jnl`	Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits. CoRR Jiabin Lin, Shana Moothedath, Namrata Vaswani
2024	J	`jnl`	Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning. IEEE Control. Syst. Lett. Jiabin Lin, Shana Moothedath
2024	B	`conf`	Federated Learning for Heterogeneous Bandits with Unobserved Contexts. ISIT Jiabin Lin, Shana Moothedath
2024	—	`conf`	Minimal Input Structural Modifications for Strongly Structural Controllability. CDC Geethu Joseph, Shana Moothedath, Jiabin Lin
2023	—	`conf`	AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification. EvoApplications@EvoStar Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2023	—	`conf`	Distributed Stochastic Bandit Learning with Delayed Context Observation. ECC Jiabin Lin, Shana Moothedath
2023	—	`conf`	Distributed Stochastic Bandits with Hidden Contexts. ECC Jiabin Lin, Shana Moothedath
2023	C	`conf`	Feature Selection in Distributed Stochastic Linear Bandits. ACC Jiabin Lin, Shana Moothedath
2023	J	`jnl`	Federated Stochastic Bandit Learning with Unobserved Context. CoRR Jiabin Lin, Shana Moothedath
2023	J	`jnl`	Minimal Input Structural Modifications for Strongly Structural Controllability. CoRR Geethu Joseph, Shana Moothedath, Jiabin Lin
2022	J	`jnl`	Distributed Stochastic Bandit Learning with Context Distributions. CoRR Jiabin Lin, Shana Moothedath
2022	J	`jnl`	KCOSS: an ultra-fast k-mer counter for assembled genome analysis. Bioinform. Deyou Tang, Yucheng Li, Daqiang Tan, Juan Fu, Yelei Tang, Jiabin Lin, Rong Zhao, Hongli Du, Zhongming Zhao
2022	J	`jnl`	KMC3 and CHTKC: Best Scenarios, Deficiencies, and Challenges in High-Throughput Sequencing Data Analysis. Algorithms Deyou Tang, Daqiang Tan, Weihao Xiao, Jiabin Lin, Juan Fu
2022	—	`conf`	Multi-task optimisation for multi-objective feature selection in classification. GECCO Companion Jiabin Lin, Qi Chen, Bing Xue, Mengjie Zhang
2022	—	`conf`	Stochastic Conservative Contextual Linear Bandits. CDC Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2022	J	`jnl`	Stochastic Conservative Contextual Linear Bandits. CoRR Jiabin Lin, Xian Yeow Lee, Talukder Z. Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian
2021	J	`jnl`	An Effective Knowledge Transfer Approach for Multiobjective Multitasking Optimization. IEEE Trans. Cybern. Jiabin Lin, Hai-Lin Liu, Kay Chen Tan, Fangqing Gu
2020	J	`jnl`	Multiobjective Multitasking Optimization Based on Incremental Learning. IEEE Trans. Evol. Comput. Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu
2017	C	`conf`	The Effect of Feasible Region on Imbalanced Problem in Constrained Multi-objective Optimization. CIS Jiabin Lin, Hai-Lin Liu, Chaoda Peng