Xiangxian Li 李象贤 | Shandong University

About Me

I am currently a postdoctoral researcher at the School of Airspace Science and 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 interests lie in the fields of deep learning, multimedia computing, and intelligent human-computer interaction. Specifically, I focus on cross-modal learning, imbalanced data learning, visual representation learning, and the analysis of physiological signals.

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 recognition

News

[Aug. 2025] Our 2 papers are accepted by EMNLP 2025.
[Aug. 2025] paper about Cross-modal Incomplete Tabular Reconstruction is accepted by JSCI.
[Aug. 2025] Paper about Multimodal Adaptive Gaussian Networks for Intent Inference is accepted by MM 2025.
[Jul. 2025] Paper about Dynamic Flow Assessment with EEG Signal is accepted by UIST 2025.
[Feb. 2025] Paper about Reviewing of Computing Flow Experience is accepted by CHI Conference 2025.
[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

EMNLP

LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions

Yongju Jia, Jiarui Ma, Xiangxian Li*, Baiqiao Zhang, Xianhui Cao, Juan Liu, Yulong Bian (*Corresponding author)

Conference on Empirical Methods in Natural Language Processing, 2025

PDF BibTex

EMNLP

Rethinking Personality Assessment from Human-Agent Dialogues: Fewer Rounds May Be Better Than More

Baiqiao Zhang, Zhifeng Liao, Xiangxian Li*, Chao Zhou, Juan Liu, Xiaojuan Ma*, Yulong Bian*

Conference on Empirical Methods in Natural Language Processing, 2025

ACM MM

MAGNeT: Multimodal Adaptive Gaussian Networks for Intent Inference in Moving Target Selection across Complex Scenario

Xiangxian Li, Yawen Zheng*, Baiqiao Zhang, Yijia Ma, XianhuiCao, Juan Liu, Yulong Bian, Jin Huang, Chenglei Yang

ACM International Conference on Multimedia, 2025

PDF Code BibTex Outstanding Paper (Oral)

JSCI

Robust Representation of Domain Incomplete Tabular Data via Cross-modal Debiasing and Prototype-fused Reconstruction

Xiangyu Meng, Xiangxian Li*, Lin Zhao, Yajuan Shen, Hui Sun, Xiaoming Cong, Xianhui Cao, Yunfeng Bi, Juan Liu, Yulong Bian

Journal of King Saud University Computer and Information Sciences, 2025

PDF Code

UIST

Assessing Dynamic Flow Experience from EEG Signals: A Processing-based Approach

Shilong Liu#, Chaorui Tong#, Zelu Liu, Xiangxian Li*, Yawen Zheng, Chao Zhou, Juan Liu, Yulong Bian* (#Equal contribution)

ACM Symposium on User Interface Software and Technology, 2025.

BibTex

AAAI

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification

Lei Meng, Xiangxian Li, Xiaoshuo Yan*, Haokai Ma, Zhuang Qi, Wei Wu, Xiangxu Meng

Proceedings of the AAAI Conference on Artificial Intelligence, 2025.

PDF BibTex

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*

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

Students

I have mentored several master’s and undergraduate students, either independently or in collaboration with others, and the accomplishments highlighted above are a testament to their talent and collaborative spirit.

Master Students

Yongju Jia (since Sep. 2024): Long-tailed Classification, Visual-Language Models

Undergraduates

Baiqiao Zhang (since Jul. 2023): Human-computer Interaction and Natural Language Processing. PhD Student at the Hong Kong University of Science and Technology (HKUST)
Xiangyu Meng (since Sep. 2024): Cross-modal Learning, Missing Modality Reconstruction
Jiarui Ma (since Nov. 2024): Long-tailed Classification, Visual-Language Models
Lin Zhao (since Mar. 2025): Object Detection, Visual-Language Navigation
Yijia Ma (since May 2025): Multimodal Computing
Qing Liu (since Aug. 2025): Medical Image Analysis