MULTIMODAL LEARNING · ROBUST VISUAL PERCEPTION多模态学习 · 鲁棒视觉感知

Lijian Li

Ph.D. student · University of Macau博士研究生 · 澳门大学

About me关于我

I am a Ph.D. student at the Faculty of Science and Technology, University of Macau, supervised by Prof. Chi-Man Pun. I received my B.S. in Software Engineering from Southwest University in 2023.

My research focuses on multimodal learning and robust visual perception, with an emphasis on uncertainty modeling, semi-supervised learning, and test-time adaptation. I study how to combine complementary information and adapt models when labels are scarce or data distributions change. My recent work spans online 3D reconstruction, cross-modal retrieval, medical image segmentation, and multimodal knowledge graph completion.

我目前在澳门大学科技学院攻读博士学位,导师为 Chi-Man Pun 教授。2023 年,我于西南大学获得软件工程学士学位。

我的研究聚焦于多模态学习与鲁棒视觉感知,重点探索不确定性建模、半监督学习和测试时适应。我关注如何融合互补信息,并在标注有限或数据分布变化时提升模型的可靠性与适应能力。近期工作涵盖在线三维重建、跨模态检索、医学图像分割和多模态知识图谱补全。

  • Multimodal Learning
  • Uncertainty Modeling
  • Test-Time Adaptation
  • 3D Vision

01 / UPDATES

News最新动态

Research updates论文录用与发表
Earlier updates更多动态

02 / COMMUNITY

Academic service学术审稿

Reviewer for journals and conferences.期刊与国际会议审稿人。

Journals期刊

  • Pattern Recognition

  • IEEE Transactions on Neural Networks and Learning Systems

Conferences会议

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining

03 / RESEARCH

Selected publications代表性论文

All publications全部论文
Dual Uncertainty-Aware Guidance for Test-Time Visual Retrieval Under Distributional Variations — overview figure
TPAMI 2026CCF A

Dual Uncertainty-Aware Guidance for Test-Time Visual Retrieval Under Distributional Variations

Yuanpeng He, Lijian Li, Linyu Li, Wenpin Jiao, Chi-Man Pun, Qingsong Wen, Zhi Jin

IEEE Transactions on Pattern Analysis and Machine Intelligence · 2026

Uncertainty-aware guidance improves test-time visual retrieval by calibrating pseudo-matches and adaptation strength under distribution shifts.

BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates — overview figure
NeurIPS 2026CCF AAccepted

BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates

Lijian Li, Yuanpeng He, Yudian Zheng, Chung-ju Huang, Linyu Li, Dongming Jin, Wenpin Jiao, Zhi Jin, Chi-Man Pun

Advances in Neural Information Processing Systems · 2026

A training-free Bayesian adaptation framework stabilizes streaming 3D reconstruction through state innovation gating and adaptive state updates.

Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion — overview figure
PR 2026CCF B

Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion

Lijian Li, Yuanpeng He, Yandong Yan, Linyu Li, Wenpin Jiao, Zhi Jin, Chi-Man Pun

Pattern Recognition · 2026

Complementarity-guided modality fusion and entropy-guided negative sampling improve multimodal entity representations.

Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models — overview figure
ACL 2026CCF A

Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models

Chung-ju Huang, Huiqiang Zhao, Yuanpeng He, Lijian Li, Wenpin Jiao, Zhi Jin, Peixuan Chen, Leye Wang

Annual Meeting of the Association for Computational Linguistics · 2026

Talaria protects prompts and responses during cloud-based LLM inference using a confidential virtual machine and reversible masking.

Evidential Prototype Learning for Semi-supervised Medical Image Segmentation — overview figure
KDD 2025CCF A

Evidential Prototype Learning for Semi-supervised Medical Image Segmentation

Yuanpeng He, Lijian Li, Tianxiang Zhan, Chi-Man Pun, Wenpin Jiao, Zhi Jin

ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2025

Evidential learning and prototype consistency use uncertainty to improve segmentation with limited annotations.

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization — overview figure
ICASSP 2025CCF B

An Adaptive Framework for Multi-View Clustering Leveraging Conditional Entropy Optimization

Lijian Li, Yuanpeng He, Chi-Man Pun

IEEE International Conference on Acoustics, Speech and Signal Processing · 2025

An adaptive framework uses conditional entropy optimization to learn from complementary views in clustering.

04 / FUNDED RESEARCH

Research projects科研项目

National Natural Science Foundation of China国家自然科学基金

Participant项目参与人

  • Grant项目编号 62436006
  • Grant项目编号 62192730
  • Grant项目编号 62192731

National Key Research and Development Program of China国家重点研发计划

Participant项目参与人

  • Grant项目编号 2023YFC3502900

Science and Technology Development Fund, Macau SAR澳门特别行政区科学技术发展基金

Participant项目参与人

  • Grant项目编号 0141/2023/RIA2
  • Grant项目编号 0193/2023/RIA3

05 / BACKGROUND

Education & experience教育与经历

University of Macau澳门大学

Ph.D. student · Faculty of Science and Technology博士研究生 · 科技学院

Advisor: Prof. Chi-Man Pun导师:Chi-Man Pun 教授

Present在读

Southwest University西南大学

B.S. · Software Engineering学士 · 软件工程

2019 – 2023

Guangming Laboratory光明实验室

Research Intern科研实习

2024 – Present至今