📝 学术成果（部分）

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 (编委会从近五年发表论文中提名评选，入选率约0.5% )，ESI高被引论文]（中科院一区，IF=6.2）
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] (通讯作者，CCF A类会议Workshop)
X. Wu, Y. Zheng, T. Ma, H. Ye, L. He, Document Image Layout Analysis via Explicit Edge Embedding Network, Information Sciences, 2021.（中科院一区，IF=8.1（2022））
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.（中科院一区，IF=7.4）
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（中科院一区，IF=7.5）
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.（通讯作者，中科院一区，IF=14.7）
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.（通讯作者，中科院一区，IF=7.4）
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.（通讯作者，中科院一区，IF=7.2）
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.（通讯作者，CCF A）
X. Wu, Z. Hu, X. Du, J. Yang, L. He. Document Layout Analysis via Dynamic Residual Feature Fusion. ICME, 2021.（CCF B类会议 Oral） -T. Ma, X. Wu†, X.Du, Y. Wang, C. Jin, Image Layer Modeling for Complex Document Layout Generation, ICME, 2023.（共一，CCF B类会议）
J. Zhang, Z. Zhuang, L. Xiao, X. Wu$^*$, T. Ma, L. He, Dual-Expert Distillation Network for Few-Shot Segmentation. ICME, 2023.（通讯作者，CCF B类会议）
X. Wu, Y. Zheng, H. Ye, W. Hu, J. Yang, L. He, Adaptive Scenario Discovery for Crowd Counting. ICASSP, 2019.（CCF B类会议）
X. Wu, B. Xu, Y. Zheng, H. Ye, J. Yang, L. He . Fast video crowd counting with a Temporal Aware Network. Neurocomputing, 2020.（中科院二区，IF=5.5）
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.（中科院二区，IF=5.5）
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.（共一，CCF B类会议）
X. Wu, S. Kong, Y. Zheng, H. Ye, J. Yang, L. He, Feature channel enhancement for crowd counting. IET Image Processing, 2020.（中科院四区，IF=2.0）
J. He,X. Wu$^†$, W. Hu, J. Yang, LSTMVA: vivid layout via LSTM-based Variational Autoencoder framework. ICDAR, 2021.（共一，CCF C类会议文档处理顶级会议）
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.（CCF C (中文)，中文核心，通讯作者）

吴兴蛟

📝 学术成果（部分）