英文个人简介

I am currently working as a postdoctoral fellow at Fudan University. My research interests include computer vision, generative artificial intelligence, digital medicine, and human-in-the-loop computing. I have published 40+ papers in important international conferences/journals. The paper published on FGCS won the Editor’s Choice Papers, and the paper at the McGE ’23 conference won the Best Paper Award. I preside over the open subject project of Shanghai Key Laboratory of Multi-Dimensional Information Processing, the academic innovation ability improvement plan project for outstanding doctoral students of East China Normal University, and as the project leader preside over Huawei’s Noah’s Ark laboratory cooperation project, etc. The research work won the first prize in the 2022 Shanghai Technological Invention Award (ranking 13/15, the only student), the second prize in the 2022 Scientific and Technological Progress Award (ranking 6/10).

🔥 News

📝 Publications

• X. Wu, L. Xiao, Y. Sun, J. Zhang, T. Ma, L. He, A Survey of Human-in-the-loop for Machine Learning, Future Generation Computer Systems,2022.[ Editor’s Choice Papers]
• Y. Wan, W. Li, X. Wu$^*$, J. Xu, and J. Yang. Auto-matic Image Aesthetic Assessment for Human-designed Digital Images. McGE ’23.2023.[Best paper]
• X. Wu, Y. Zheng, T. Ma, H. Ye, L. He, Document Image Layout Analysis via Explicit Edge Embedding Network, Information Sciences, 2021.
• X. Wu, T. Ma, X. Du, Z. Hu, J. Yang, L. He, DRFN: A unified framework for complex document layout analysis, Information Processing \& Management., 2023.
• X. Wu, L. Xiao, X. Du, Y. Zheng, X. Li, T. Ma, C. Jin, L. He,Cross-domain document layout analysis using document style guide, Expert Systems with Applications，2024.
• L. Xiao, X. Wu$^*$, J. Xu, W. Li, C. Jin, L. He. Atlantis: Aesthetic-oriented Multiple Granularities Fusion Network for Joint Multimodal Aspect-based Sentiment Analysis, Information Fusion, 2024.
• L. Xiao, X. Wu$^*$, S. Yang, J. Xu, J. Zhou, L. He. Cross-modal Fine-grained Alignment and Fusion Network for Multimodal Aspect-based Sentiment Analysis, Information Processing \& Management., 2023.
• J. Liao, X. Wu$^*$, Y. Wu and J. Shu. K-NNDP: K-means algorithm based on nearest neighbor density peak optimization and outlier removal, Knowledge-Based Systems, 2024.
• X. Du, Z. Zhou, X. Wu$^*$, Y. Wang, Z. Wang, Y. Zheng, C. Jin. MultiColor: Image Colorization by Learning from Multiple Color Spaces, ACM Multimedia 2024, 2024.
• X. Wu, Z. Hu, X. Du, J. Yang, L. He. Document Layout Analysis via Dynamic Residual Feature Fusion. ICME, 2021.
• T. Ma, X. Wu$^†$, X.Du, Y. Wang, C. Jin, Image Layer Modeling for Complex Document Layout Generation, ICME, 2023.
• J. Zhang, Z. Zhuang, L. Xiao, X. Wu$^*$, T. Ma, L. He, Dual-Expert Distillation Network for Few-Shot Segmentation. ICME, 2023.
• X. Wu, Y. Zheng, H. Ye, W. Hu, J. Yang, L. He, Adaptive Scenario Discovery for Crowd Counting. ICASSP, 2019.
• X. Wu, B. Xu, Y. Zheng, H. Ye, J. Yang, L. He . Fast video crowd counting with a Temporal Aware Network. Neurocomputing, 2020.（
• X. Wu, Y. Zheng, H. Ye, W. Hu, T. Ma, J. Yang, L. He, Counting Crowds with Varying Densities via Adaptive Scenario Discovery Framework[J], Neurocomputing , 2020.
• L. Xiao, X. Wu$^†$, W. Wu ,J. Yang, L. He. Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis. ICASSP, 2022.
• J. He, X. Wu$^†$, W. Hu, J. Yang, LSTMVA: vivid layout via LSTM-based Variational Autoencoder framework. ICDAR, 2021.
• X. Wu, S. Kong, Y. Zheng, H. Ye, J. Yang, L. He, Feature channel enhancement for crowd counting. IET Image Processing, 2020.
• 吴俊斌,吴晟,吴兴蛟$^*$.一种用于求解TSP问题的随机最佳插入烟花算法[J].计算机工程与科学,2020,42(11):2080-2087.

🎖 Honors and Awards

• 2022 Shanghai Science and Technology Award (First Prize of Technological Invention Award) (Shanghai Municipal People’s Government) (2023, ranking 13/15, only student)
• 2022 Shanghai Science and Technology Award (Second Prize for Science and Technology Progress Award) (Shanghai Municipal People’s Government) (2023, ranking 6/10)
• 2020 Star of Self-improvement for Chinese College Students (Central Committee of the Communist Youth League, All-China Federation of Students) (2021, the only one selected by East China Normal University that year)
• Shanghai Outstanding Graduates (Shanghai Education Commission) (2022)
• China Graduate Mathematical Modeling Competition Talents (China Graduate Mathematical Modeling Competition Organizing Committee) (2023, 30 people selected in 2020)
• Won the Best Solution Award (China Computer Federation) in the 2023 CCF Technology Charity Hackathon Competition (2023, highest score overall)
• 2021-2022 East China Normal University Outstanding Dissertation (East China Normal University) (2022)
• Outstanding Student Leader of East China Normal University (East China Normal University) (2021), Outstanding Student of East China Normal University (East China Normal University) (2020)
• First Prize in the National Undergraduate Electrical Mathematics Modeling Competition (Electrical Mathematics Committee of the Chinese Society of Electrical Engineering) (2017)

📖 Educations

• 2018.9-2022.6*, East China Normal University, Computer Application Technology, Doctor of Engineering

• Research directions: multimedia information processing, computer vision, human-computer hybrid

• 2015.9-2018.6*, Kunming University of Science and Technology, Computer Software and Theory, Master of Engineering

• Research directions: algorithm research, software development

• 2011.9-2015.6*, Kunming University of Science and Technology, Computer Science and Technology, Bachelor of Engineering

💬 Project

• Research on key technologies for complex document layout analysis based on human-in-the-loop. 2023 open project of Shanghai Key Laboratory of Multi-Dimensional Information Processing (Shanghai Key Laboratory of Multi-Dimensional Information Processing), 2023-2024, project leader (in research) )
• Research on pre-training model for general document layout analysis. Shanghai Super Postdoctoral Funding (Shanghai), 2022-2024, project leader (in research)
• Research on document layout analysis based on human-computer hybrid. Fudan University Super Postdoctoral Funding (Fudan University), 2022-2024, project leader (in research)
• Unified modeling technology of document visual features. Huawei Technologies Co., Ltd. (Huawei Noah’s Ark Laboratory), 2022-2023, Project Leader (Project Completion)
• Research on key technologies of model lightweighting and model updating under human-machine hybrid intelligence (East China Normal University). East China Normal University Excellent Doctoral Students Academic Innovation Ability Improvement Plan, 2020-2022, Project Leader (Finalization)
• Model- and knowledge-driven theory and method of efficient medical image enhancement. Scientific and Technological Innovation 2030—”New Generation Artificial Intelligence” Major Project (Ministry of Science and Technology), 2022-2024, main participant (under research)
• Research on key technologies for traditional Chinese medicine identification based on human-machine hybrid. Yunnan Provincial Department of Education Scientific Research Fund Project (Yunnan Provincial Department of Education), 2021-2022, main participant (final project)
• Research on fuzzy defect classification technology based on human-machine hybrid. Shanghai Science and Technology Commission Science and Technology Innovation Action Plan (Shanghai Science and Technology Commission), 2020-2022, main participant (final project)

💻 Work

• 2022.06 - 2024.06*, Fudan University, China.