I am currently pursuing a Ph.D. at the School of Software, Shandong University, supervised by Prof. Lei Meng. I received my Master's degree in Computer Science from Shantou University in June 2022 and my Bachelor's degree in Information and Computational Science from Hebei University of Science and Technology in June 2019. My research focuses on big data-driven multimedia computing and data mining, including outlier detection and federated learning algorithms. I have published work in notable conferences and journals such as ACM MM, ECCV, IJCAI, TNNLS, and IDAJ. In December 2024, I will join Prof. Han Yu's team at Nanyang Technological University, Singapore, as a joint Ph.D. student for exchange studies. My research interests primarily include😎😎😎: ✔️ Federated Learning ✔️ Out-of-Distribution Generalization ✔️ Class-Incremental Learning, Continuous Learning

📧 [E-mail] 🎓 [Google Scholar] 📥 [GitHub] 🆔 [ORCID] 📑 [Chinese Page]

Education

• 2024.12 ~ Present: Nanyang Technological University, College of Computing and Data Science, Visiting Ph.D. (CSC) [Advisor: 💁‍♂️Prof. Han Yu👍]

• 2022.09 ~ Present: Shandong University, School of Software, Ph.D. Candidate [Advisor: 💁‍♂️Prof. Lei Meng👍]

• 2019.09 ~ 2022.07: Shantou University, Department of Computer Science, Master's Degree

• 2015.09 ~ 2019.07: Hebei University of Science and Technology, School of Science, Bachelor's Degree

Academic Papers(*Corresponding author)

2025

• Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
  Zhuang Qi, Sijin Zhou, Lei Meng*, Han Hu, Han Yu, Xiangxu Meng
  The 34th International Joint Conference on Artificial Intelligence, (IJCAI'25), 2025.
  [CCF A类 会议]
  

• Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification
  Xiaoshuo Yan, Zhaochuan Li, Lei Meng*, Zhuang Qi, Wei Wu, Zixuan Li, Xiangxu Meng
  The 34th International Joint Conference on Artificial Intelligence, (IJCAI'25), 2025.
  [CCF A类 会议]
  

• Semantic-Space-Intervened Diffusive Alignment for Visual Classification
  Zixuan Li, Lei Meng*, Wei Wu, Yimeng Yang, Xiaoshuo Yan, Zhuang Qi, Xiangxu Meng
  The 34th International Joint Conference on Artificial Intelligence, (IJCAI'25), 2025.
  [CCF A类 会议]
  

• Federated Out-of-Distribution Generalization: A Causal Augmentation View
  Runhui Zhang, Sijin Zhou, and Zhuang Qi*
  Proceedings of the 2025 International Joint Conference on Neural Networks (IJCNN'25), 2025.
  [CCF C类会议]
  

• Towards Initialization-Agnostic Clustering with Iterative Adaptive Resonance Theory
  Xiaozheng Qu, Zhaochuan Li, Zhuang Qi, Xiang Li, Haibei Huang, Lei Meng*, and Xiangxu Meng
  Proceedings of the 2025 International Joint Conference on Neural Networks (IJCNN'25), 2025.
  [CCF C类会议]
  

• Global Intervention and Distillation for Federated Out-of-Distribution Generalization
  Zhuang Qi#, Runhui Zhang#, Lei Meng*, Wei Wu, Yachong Zhang, and Xiangxu Meng
  Proceedings of the 2025 IEEE International Conference on Multimedia and Expo (ICME'25), 2025.
  [CCF B类会议]
  

• Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data
  Zhuang Qi, Lei Meng*, Zhaochuan Li, Han Hu, Xiangxu Meng
  The Annual AAAI Conference on Artificial Intelligence 2025 (AAAI'25), 2025.
  [CCF A类会议]
  

• Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
  Lei Meng, Xiangxian Li, Xiaoshuo Yan*, Haokai Ma, Zhuang Qi, Wei Wu, Xiangxu Meng
  The Annual AAAI Conference on Artificial Intelligence 2025 (AAAI'25), 2025.
  [CCF A类会议]
  

2024

• Improving Global Generalization and Local Personalization for Federated Learning
  Lei Meng, Zhuang Qi*, Lei Wu, Xiaoyu Du, Zhaochuan Li, Lizhen Cui, Xiangxu Meng
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS'24), 2024.
  [中科院一区]
  

• Attentive Modeling and Distillation for Out-of-Distribution Generalization of Federated Learning
  Zhuang Qi#, Weihao He#, Xiangxu Meng, Lei Meng
  IEEE International Conference on Multimedia and Expo (ICME'24), 2024.
  [CCF B类会议]
  

• 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 (CVM'24), 2024.
  [中科院二区, CCF C类期刊]
  

• Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning
  Zhuang Qi, Lei Meng, Weihao He, Ruohan Zhang, Yu Wang, Xin Qi, Xiangxu Meng
  Arxiv, 2024.
  

• 基于跨模态特权信息增强的图像分类方法
  李象贤，郑裕泽，马浩凯，齐壮，闫晓硕，孟祥旭，孟雷
  软件学报, 2024.
  [CCF A类中文期刊]
  

2023

• Class-aware convolution and attentive aggregation for image classification
  Zitan Chen, Zhuang Qi, Xiangxian Li, Yuqing Wang, Lei Meng, Xiangxu Meng
  Proceedings of the 5th ACM International Conference on Multimedia in Asia (MM Asia'23), 2023.
  [CCF C类会议]
  

• Class-level Structural Relation Modeling and Smoothing for Visual Representation Learning
  Zitan Chen, Zhuang Qi, Xiao Cao, Xiangxian Li, Xiangxu Meng, Lei Meng
  Proceedings of the 31st ACM International Conference on Multimedia (MM'23), 2023.
  [CCF C类会议]
  

• Cross-silo prototypical calibration for federated learning with non-iid data
  Zhuang Qi, Lei Meng, Zitan Chen, Han Hu, Hui Lin, Xiangxu Meng
  Proceedings of the 31st ACM International Conference on Multimedia (MM'23), 2023.
  [CCF A类会议]
  

• Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification
  Jingyu Li, Haokai Ma, Xiangxian Li, Zhuang Qi, Xiangxu Meng, Lei Meng
  International Conference on Image and Graphics (ICIG'23), 2023.
  [EI会议]
  

• Learning to fuse residual and conditional information for video compression and reconstruction
  Ran Wang, Zhuang Qi, Xiangxu Meng, Lei Meng
  International Conference on Image and Graphics (ICIG'23), 2023.
  [EI会议]
  

• Cross-Training with Prototypical Distillation for improving the generalization of Federated Learning
  Tianhan Liu, Zhuang Qi, Zitan Chen, Xiangxu Meng, Lei Meng
  2023 IEEE International Conference on Multimedia and Expo (ICME'23), 2023.
  [CCF B类会议]
  

• Cross-modal content inference and feature enrichment for cold-start recommendation
  Haokai Ma, Zhuang Qi, Xinxin Dong, Xiangxian Li, Yuze Zheng, Xiangxu Meng, Lei Meng
  2023 International Joint Conference on Neural Networks (IJCNN'23), 2023.
  [CCF C类会议]
  

• Multi-channel attentive weighting of visual frames for multimodal video classification
  Yuqing Wang, Zhuang Qi, Xiangxian Li, Jinxing Liu, Xiangxu Meng, Lei Meng
  2023 International Joint Conference on Neural Networks (IJCNN'23), 2023.
  [CCF C类会议]
  

2022

• Meta-causal feature learning for out-of-distribution generalization
  Yuqing Wang, Xiangxian Li, Zhuang Qi, Jingyu Li, Xuelong Li, Xiangxu Meng, Lei Meng
  European Conference on Computer Vision (ECCV'22), 2022.
  [CCF B类会议]
  

• Causal inference with sample balancing for out-of-distribution detection in visual classification
  Yuqing Wang, Xiangxian Li, Haokai Ma, Zhuang Qi, Xiangxu Meng, Lei Meng
  CAAI International Conference on Artificial Intelligence (CICAI'22), 2022.
  [CAAI A类会议]
  

• Clustering-based curriculum construction for sample-balanced federated learning
  Zhuang Qi, Yuqing Wang, Zitan Chen, Ran Wang, Xiangxu Meng, Lei Meng
  CAAI International Conference on Artificial Intelligence (CICAI'22), 2022.
  [CAAI A类会议]
  

• Prompt learning with cross-modal feature alignment for visual domain adaptation
  Jinxing Liu, Junjin Xiao, Haokai Ma, Xiangxian Li, Zhuang Qi, Xiangxu Meng, Lei Meng
  CAAI International Conference on Artificial Intelligence (CICAI'22), 2022.
  [CAAI A类会议]
  

• Unsupervised contrastive masking for visual haze classification
  Jingyu Li, Haokai Ma, Xiangxian Li, Zhuang Qi, Lei Meng, Xiangxu Meng
  Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR'22), 2022.
  [CCF B类会议]
  

• Robust Visual Tracking via Iterative Gradient Descent and Threshold Selectiong
  Zhuang Qi, Junlin Zhang, Xin Qi
  Arxiv, 2022.
  

• A novel density-based outlier detection method using key attributes
  Zhuang Qi, Xiaming Chen
  Intelligent Data Analysis Journal (IDA'22), 2022.
  [CCF C类期刊]
  

2021

• Iterative gradient descent for outlier detection
  Zhuang Qi, Dazhi Jiang, Xiaming Chen
  International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP'21), 2021.
  [中科院四区]
  

• Relation Modeling and Distillation for Learning with Noisy Labels
  Zhuang Qi, Junlin Zhang, Xiaming Chen*, Xin Qi*
  Arxiv, 2021.
  

• Comparative Study of Neighbor-based Methods for Local Outlier Detection
  Zhuang Qi, Junlin Zhang, Xiaming Chen, Xin Qi
  Arxiv, 2021.
  

2020

• Hdiht: a high-accuracy distributed iterative hard thresholding algorithm for compressed sensing
  Xiaming Chen, Zhuang Qi, Jianlong Xu
  IEEE Access, 2020.
  [中科院二区]
  

Patents

• Prototype-Guided Federated Consistency Representation Learning System and Method
  Inventors: Lei Meng, Zhuang Qi, Yu Wang, Zhaochuan Li, Han Hu, Ruohan Zhang, Xiangxu Meng
  National Invention Patent, Application No.: 202411764345.4, April 28, 2025.

• Class-Level Relation-Constrained and Structured Graph Enhancement Method, System, Medium, and Terminal Inventors: Lei Meng, Zitan Chen, Yu Wang, Zhuang Qi, Ruohan Zhang, Zhaochuan Li, Xiangxu Meng National Invention Patent, Authorization Publication No.: CN 119068272 B, February 25, 2025.

• Invention Patent: "Federated Learning System and Method Based on Prototype-Guided Cross-Training Mechanism"
  Inventors: Lei Meng, Zhuang Qi, Tianze Liu, Xiangxu Meng
  Application Number: 202310305396, Date: 2023.3.23.

• Invention Patent: "Visual Perceptual Recommendation Method and System Based on Cross-Modal Semantic Reasoning and Fusion"
  Inventors: Lei Meng, Haokun Ma, Zhuang Qi, Xiangxian Li, Yuze Zheng, Xiangxu Meng
  Authorization Number: CN 114936901 B, Date: 2024.05.28.

• Invention Patent: "Image Classification Method and System Based on Cross-Modal Semantic Feature Learning and Fusion"
  Inventors: Lei Meng, Xiangxian Li, Yuze Zheng, Haokun Ma, Zhuang Qi, Xiangxu Meng
  Authorization Number: CN 114898156 B, Date: 2024.06.04.

Honors and Awards

• 2016-2017 Academic Year: Model Student Cadre at Hebei University of Science and Technology (2017.11)

• 2017: National Encouragement Scholarship (2017.11)

• 2016-2017 Academic Year: Third-Class Scholarship at Hebei University of Science and Technology (2017.11)

• 2018: First Prize in Hebei Provincial College Student Mathematics Competition (2018.12)

• 2018: Third Prize in the National College Student Mathematics Competition (2018.12)

• 2021: First-Class Master's Degree Scholarship at Shantou University (2021.12)

• 2021: Second Prize in the National College Higher Education Mathematics Competency Challenge (2021.12))

• 2022: Outstanding Award in the First National IPv6 Technology Application Innovation Competition Final (2022.12)

• 2023: Second Prize in the 14th China University Service Outsourcing Innovation and Entrepreneurship Competition "Cooperation and Information Cup" Northern Regional Competition, Innovation Practice Category (2023.06)

• 2023: Third Prize in the 14th China University Service Outsourcing Innovation and Entrepreneurship Competition, Innovation Practice Category (2023.07)

• 2024: Third Prize in the 4th CCF College Student Academic Excellence Award, PhD Group (2024.05)

• 2024: National Study Abroad Scholarship Qualification (CSC), Joint PhD Student (2024.07)

• 2025: First Prize, East China Division, 18th National College Student Software Innovation Competition (April 2025)

• 2025: Third Prize, National Finals, 18th National College Student Software Innovation Competition (April 2025)

Academic Service

• The Thirty-Ninth Annual Conference on Neural Information Processing Systems 2025 (NeurIPS'25), Reviewer

• International Workshop on Federated Learning with Generative AI In Conjunction with IJCAI 2025 (FedGenAI-IJCAI'25), PC Member

• 21st IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS'25), Reviewer

• International Conference on Computer Vision 2025 (ICCV'25), Reviewer

• The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), Reviewer

• International Joint Conference on Neural Networks (IJCNN'25), Reviewer

• International Conference on Machine Learning 2025 (ICML'25), Reviewer

• The Annual AAAI Conference on Artificial Intelligence 2025 (AAAI'25), PC Member

• ACM International Conference on Multimedia 2023~2025 (MM'23, MM'24, MM'25), Reviewer

• IEEE Conference on Computer Vision and Pattern Recognition 2024, 2025 (CVPR'24, CVPR'25), Reviewer

• IEEE International Conference on Multimedia and Expo 2024, 2025 (ICME'24, ICME'25), Reviewer

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Reviewer, 2024.08- Present

• Computer Methods in Biomechanics and Biomedical Engineering, Reviewer, 2024.09-Present

• IEEE Transactions on Industrial Informatics, Reviewer, 2025.01-Present

• IEEE Journal of Biomedical and Health Informatics (JBHI), Reviewer, 2025.01-Present

• ACM Transactions on Computing for Healthcare (ACMHEALTH), Reviewer, 2025.04-Present

• ACM Transactions on Knowledge Discovery from Data (TKDD), Reviewer, 2025.04-Present