Xiangxian Li 李象贤 | Shandong University

About Me

I am currently a postdoctoral researcher at the School of Mechanical, Electrical & Information Engineering, Shandong University (SDU), working with Assoc. Prof. Juan Liu and Assoc. Prof. Yulong Bian, and my cooperative supervisor is Prof. Yunfeng Bi.

I received my Ph.D. from the School of Software at 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.

My research focuses on deep learning, multimedia computing, and intelligent human-computer interaction. To be specific, my researches cover cross-modal learning, imbalanced learning, visual representation learning, and physiological signal analysis.

Research Interests

Cross-modal Learning: visual-semantic alignment, cross-modal inference
Imbalanced learning: long-tailed image/text classification
Visual representation learning: image/video representation learning
Physiological signal analysis: EEG-based flow experience classification

News

[Feb. 2025] Paper about Balanced Contrastive Learning in criminal motive classification is accepted by EPJ Data Science.
[Dec. 2024] Paper about Causal Inference on Visual-Semantic Graph is accepted by AAAI 2025.
[Dec. 2024] Paper about ASD Stereotyped Movement Recognition is accepted by JBHI.
[Nov. 2024] I join the School of Mechanical, Electrical & Information Engineering, Shandong University as a postdoctoral researcher.
[Sep. 2024] Paper about Detecting Simultaneous Flow is accepted by UbiComp/IMWUT.
[Jun. 2024] I am graduated from Shandong University.
[Sep. 2023] Paper about Cross-modal Inference is accepted by Journal of Software.
[Apr. 2023] Paper about Cross-modal Long-tailed Classification is accepted by CVM.
[Oct. 2023] Our team win the Jury Award in the track 2 of Nico challenge 2022 competition.
[Oct. 2021] I make a presentation for paper about Long-tailed Adversarial Training.
[Oct. 2021] l participate in ACM MM 2021.
[Sep. 2018] I start to study as a Ph.D. student at the School of Software, Shandong University.

Selected Publications

EPJ Data Science

Addressing Long-tailed Distribution in Judicial Text for Criminal Motive Classification: A Balanced Contrastive Learning Approach

Ting Li, Lewen Mi, Xiangyu Meng, Yongju Jia, Lin Zhao, Qi Zhao, Zihao Wei, Guandong Gao, Xiangxian Li* (*Corresponding author)

EPJ Data Science, 2025.

PDF BibTex Open Access

UbiComp/IMWUT

Are We in The Zone? Exploring The Features and Method of Detecting Simultaneous Flow Experiences Based on EEG Signals

Baiqiao Zhang, Xiangxian Li, Yunfan Zhou, Juan Liu, Weiying Liu, Chao Zhou, Yulong Bian*

ACM international joint conference on Pervasive and Ubiquitous Computing/ Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2024.

PDF BibTex

CVM

Cross-modal Learning Using Privileged Information for Long-tailed Image Classification

Xiangxian Li, Yuze Zheng, Haokai Ma, Zhuang Qi, Xiangxu Meng, Lei Meng*

Computational Visual Media, 2024.

PDF Code BibTex Spotlight

JOS

Image Classification Method Based on Cross-modal Privileged Information Enhancement

Xiangxian Li, Yuze Zheng, Haokai Ma, Zhuang Qi, Xiaoshuo Yan, Xiangxu Meng, Lei Meng*

Journal of Software (软件学报), 2024.

PDF BibTex

CGI'22

Personalized User Interface Elements Recommendation System

Hao Liu#, Xiangxian Li#, Wei Gai*, Yu Huang, Jingbo Zhou, Chenglei Yang (#Equal contribution)

Computer Graphics International Conference, 2022.

PDF BibTex Oral Presentation

ADVM'21

Comparative Study of Adversarial Training Methods for Long-tailed Classification

Xiangxian Li, Haokai Ma, Lei Meng*, Xiangxu Meng

Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021.

PDF BibTex Oral Presentation

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

Journal Reviewers

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)