Objective
My research objective is to develop novel methodologies for trustworthy AI under real-world data imperfections in data quality and distribution shifts. Through robust learning frameworks and interpretable decision mechanisms, I aim to enable reliable AI deployment in dynamic open-world scenarios.
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Learning with open-world noisy data via class-independent margin in dual representation space
Linchao Pan,
Can Gao,
Jie Zhou,
Jinbao Wang,
AAAI, 2025
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Three-way decision-based Takagi-Sugeno-Kang fuzzy classifier for partially labeled data
Linchao Pan,
Can Gao,
Jie Zhou,
Gong Chen,
Xiaodong Yue,
Applied Soft Computing, 2024
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Three-way decision-based tri-training with entropy minimization
Linchao Pan,
Can Gao,
Jie Zhou,
Information Sciences, 2022
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Kernelized fuzzy rough sets-based three-way feature selection
Xingchen, Liu,
Liuxin, Wang,
Linchao Pan,
Can Gao,
International Joint Conference on Rough Sets, 2022
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Honors and Awards
[2024] First Prize of Academic Scholarship, SZU
[2023] Special Prize of Academic Scholarship, SZU
[2023] Shenzhen University Outstanding Graduate
[2023] Shenzhen University Honored Bachelor Degree
[2023] Shenzhen University's 2023 100 Outstanding Undergraduate Thesis (Design)
[2023] Shenzhen University Tencent Innovation Scholarship>
[2022] Third Prize of Learning Star, SZU
[2022] First Prize of Double Innovations Star, SZU
[2022] Ministry of Education -- Huawei Smart Base "Future Star"
[2022] First Prize in the 13th Lanqiao Cup competition (Guangdong Province)
[2022] Youth League 2022 "Liyuan Challenge · Climbing" Fund, SZU
[2021] Third Prize in the National Innovation Finals of the Huawei ICT Competition 2021
[2021] Student Innovation and Development Fund Basic Experimental Project, SZU
[2021] Guangdong Provincial Undergraduate Training Programs for Innovation and Entrepreneurship
[2021] Third Prize of Learning Star, SZU
[2021] Third Prize of Public Welfare Star, SZU
[2020] Third Prize of Learning Star, SZU
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Teaching Assistant
[2024 Fall] Artificial Intelligence and Machine Learning, Introduction to Artificial Intelligence
[2024 Spring] Artificial Intelligence Overview, Introduction to Artificial Intelligence
[2023 Fall] Artificial Intelligence and Machine Learning, Introduction to Artificial Intelligence
[2023 Spring] Artificial Intelligence Overview
[2022 Fall] Artificial Intelligence and Machine Learning, Introduction to Artificial Intelligence
[2022 Spring] Artificial Intelligence Overview
[2021 Fall] Data Structures
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Internship Experience
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