Xiangxian Li 李象贤

About Me

My research primarily focuses on cross-modal learning, long-tailed classification, and causal inference. I received my Ph.D. from the School of Software at Shandong University (SDU) in June 2024, under the supervision of Prof. Lei Meng and Prof. Xiangxu Meng. From 2020 to 2024, I worked on cross-modal learning in long-tailed classification with the MMRC team at SDU. Prior to that, between 2018 and 2020, I researched personalized user interface recommendation at SDU. I earned my Bachelor’s degree from Huazhong University of Science and Technology (HUST) in June 2018.

Research Interests

• Cross-modal Learning: visual-semantic alignment, cross-modal inference
• Long-tailed Classification: long-tailed representation learning
• Causal Inference: heterogeneous causal graph

News

• [Jun. 2024] I am graduated from Shandong University.
• [Sep. 2023] My paper is accepted by Journal of Software.
• [Apr. 2023] My paper is accepted by the CVM 2023 (recommended to CVMJ).
• [Oct. 2023] Our team win the Jury Award in the track 2 of Nico challenge 2022 competition.
• [Oct. 2021] l participate in MM 2021 and make a presentation on the ADVM 21.
• [Sep. 2018] I start to study as a Ph.D. student at the School of Software, Shandong University.

Selected Publications

Awards

• [2023] China College Students’ Service Outsourcing Innovation and Entrepreneurship Competition: National Second Prize in Track B
• [2022] NICO CHALLENGE (ECCV Workshop): Jury Award in the Mixed-Context Generalization Track
• [2021] ACM MM Watch and Buy: Multimodal Product Identification Challenge: Finals (7/587)
• [2021] Shandong Provincial College Student Big Data and Intelligence Competition: First Prize (1/88)

Services

Conference Reviewers

• IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
• European Conference on Computer Vision (ECCV) 2022

Journal Reviewers

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

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