International Conferences (Peer-reviewed)

1. LITA: LMM-guided Image-Text Alignment for Art Assessment, T. Sunada, K. Shiohara, L. Xiao, and T. Yamasaki, 31st International Conference on MultiMedia Modeling (MMM25), accepted, 2024
2. Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video, T. Sugihara, S. Masuda, L. Xiao*[corresponding author], and T. Yamasaki, ACM Multimedia Asia 2024 , accepted, 2024 [Code]
3. LLaVA-Tour: A Large-Scale Multimodal Model Specializing in Japanese Tourist Spot Prediction and Review Generation, H. Yamanishi, L. Xiao*[corresponding author], and T. Yamasaki, IEEE International Conference on Visual Communications and Image Processing , accepted, 2024 [Best Paper Candidate] [Code]
4. A Multimodal Dataset and Benchmark for Tourism Review Generation, H. Yamanishi, L. Xiao*[corresponding author], and T. Yamasaki, ACM RecSys Workshop on Recommenders in Tourism (Rectour 2024) , accepted, 2024
5. SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning, Z. R. Wang, L. Y. Xiang, L. Huang, J. F. Mao, L. Xiao, and T. Yamasaki, European Conference on Computer Vision (ECCV) , accepted, 2024
6. Adversarially robust continual learning with anti-forgetting loss, K. Mukai, S. Kumano, N. Michel, L. Xiao, and T. Yamasaki, IEEE International Conference on Image Processing (ICIP) , pp. 1085-1091, 2024
7. E-ReaRev: Adaptive Reasoning for Question Answering over Incomplete Knowledge Graphs by Edge and Meaning Extensions, X.T. Ye, L. Xiao, C. Zhang, and T. Yamasaki, The 29th International Conference on Natural Language & Information Systems (NLDB) , pp. 85-95, 2024
8. Rethinking Momentum Knowledge Distillation in Online Continual Learning, N. Michel, M. Wang, L. Xiao, and T. Yamasaki, International Conference on Machine Learning (ICML) , accepted, 2024 [Code]
9. Boosting Fine-grained Fashion Retrieval with Relational Knowledge Distillation, L. Xiao and T. Yamasaki, The 7th Workshop on Computer Vision for Fashion, Art, and Design, IEEE / CVF Computer Vision and Pattern Recognition Conference (Spotlight and Poster) , pp. 8229-8234, 2024 [Code]
10. Improving Plasticity in Online Continual Learning via Collaborative Learning, M. Wang, N. Michel, L. Xiao, and T. Yamasaki, The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) , pp. 23460-23469, 2024 [Code]
11. HetSpot: Analyzing Tourist Spot Popularity with Heterogeneous Graph Neural Network, H. Yamanishi, L. Xiao*[corresponding author], and T. Yamasaki, 6th International Conference on Image, Video and Signal Processing (IVSP) , pp. 111–120, 2024
12. Toward a More Robust Fine-grained Fashion Retrieval, L. Xiao, X. F. Zhang, and T. Yamasaki, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) , pp. 1-4, 2023 [Code]
13. Learning Fashion Compatibility with Color Distortion Prediction, L. Xiao, X. F. Zhang, and T. Yamasaki, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) , pp. 81-84, 2023
14. Bridging the Capacity Gap for Online Knowledge Distillation, M. Wang, H. Yu, L. Xiao, and T. Yamasaki, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) , pp. 1-4, 2023 [Code]
15. SAT: Self-adaptive training for fashion compatibility prediction, L. Xiao and T. Yamasaki, IEEE International Conference on Image Processing (ICIP), 2022
16. Surface defect detection using hierarchical features, L. Xiao, T. Huang, B. Wu, Y. Hu, and J. Zhou, International Conference on Automation Science and Engineering, 2019
17. A remote health condition monitoring system based on compressed sensing, J. Liu, Y. Hu, Y. Lu, Y. Wang, L. Xiao, and K. Zheng, International Conference on Mechanical, System and Control Engineering, 2017

International Journals (Peer-reviewed)

1. A Lightweight Feature Screening Optimization Network for Complex-scale Flat Metal Defect Detection, Hao Zhong, L. Xiao, Haifeng Wang, Xin Zhang, Chenhui Wan, and Bo Wu. Knowledge-Based Systems , vol.304, pp.112520, 2024.
2. Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval, L. Xiao and T. Yamasaki, IEEE Access , vol.12, pp.48068-48080, 2024 [Code]
3. STFE-Net: A multi-stage approach to enhance statistical texture feature for defect detection on metal surfaces, H. Zhong, D. X. Fu, L. Xiao, F. Zhao, J. Liu, B. Wu, and Y. M. Hu, Advanced Engineering Informatics , vol.61, pp.102437, 2024
4. Missing small fastener detection using deep learning, L. Xiao, B. Wu, and Y. Hu, IEEE Transactions on Instrumentation and Measurement, 2020
5. OSED: Object-specific edge detection, L. Xiao, B. Wu, and Y. Hu, Journal of Visual Communication and Image Representation, 2020
6. Detection of powder bed defects in selective laser sintering using convolutional neural network, L. Xiao, M. Lu, and H. Huang, The International Journal of Advanced Manufacturing Technology, 2020
7. A hierarchical features-based model for freight train defect inspection, L. Xiao, B. Wu, Y. Hu, and J. Liu, IEEE Sensors Journal, 2019
8. Surface defect detection using image pyramid, L. Xiao, B. Wu, and Y. Hu, IEEE Sensors Journal, 2020

Arxiv papers

1. Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video, T. Sugihara, S. Masuda, L. Xiao, and T. Yamasaki, arXiv preprint arXiv:2405.08890, 2024
2. Rethinking Momentum Knowledge Distillation in Online Continual Learning, N. Michel, M. Wang, L. Xiao, and T. Yamasaki, arXiv preprint arXiv:2309.02870. , 2023
3. Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering, Z. Wang, L. Xiao, L. Xiang, Z. Weng, and T. Yamasaki, arXiv preprint arXiv:2305.13802., 2023
4. MetaMixer: A Regularization Strategy for Online Knowledge Distillation, M. Wang, L. Xiao and T. Yamasaki, arXiv preprint arXiv:2303.07951., 2023
5. Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction, L. Xiao and T. Yamasaki, arXiv preprint arXiv:2212.14680., 2022
6. Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval, L. Xiao and T. Yamasaki, arXiv preprint arXiv:2301.13014., 2022

Domestic conferences

1. Boosting Fine-grained Fashion Retrieval with Relational Knowledge Distillation, L. Xiao and T. Yamasaki, 信学技報, 画像工学研究会 (IE) , vol. 124, no. 60, IE2024-17, pp. 90-94, 2024 [Code]
2. Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching, T. Sugihara, S. Masuda, L. Xiao, and T. Yamasaki, The 27th Meeting on Image Recognition and Understanding (MIRU), 2024. [Oral]
3. 大規模マルチモーダルモデルを用いた広告画像の評価・改善, 砂田 達巳, 塩原 楓, 劉 岳松, 丹治 直人, 勢〆 弘幸, 肖玲,山崎 俊彦, The 27th Meeting on Image Recognition and Understanding (MIRU), 2024. [Oral]
4. Multi-hop Question Answering over Incomplete Knowledge Graphs by Edge and Meaning Extensions, X.T. Ye, L. Xiao, C. Zhang, and T. Yamasaki, The 27th Meeting on Image Recognition and Understanding (MIRU), 2024.
5. Constrianed advertisement layout generation based on Graph Neural Networks, C. Fu, Y. Liu, N. Tanji, H. Seshime, S. Yi, L. Xiao, and T. Yamasaki, The 27th Meeting on Image Recognition and Understanding (MIRU), 2024.
6. Improving Adversarial Robustness in Continual Learning, K. Mukai, S. Kumano, N. Michel, L. Xiao, and T. Yamasaki, 信学技報, 画像工学研究会 (IE), vol.123, no.381, IE2023-37, pp.13-18, 2024. [IE賞]
7. 大規模言語モデルを活用した自己教師あり学習によるビデオ要約, 杉原朋弥, 増田俊太郎, 肖玲, 山崎俊彦, IPSJ, 7T-06, pp.2-653-2-654, 2024.
8. Advertisement Layout Generation based on Graph Neural Network, C. Fu, Y. Liu, N. Tanji, H. Seshime, L. Xiao, and T. Yamasaki, 信学技報, 画像工学研究会 (IE), vol. 123, no. 381, IE2023-51, pp. 88-89, 2024.
9. Improved Fine-grained Fashion Retrieval with Contrastive Learning, L. Xiao, X. F. Zhang, and T. Yamasaki, The 26th Meeting on Image Recognition and Understanding (MIRU), IS3-55, 2023.
10. Video Summarization Based on Masked Autoencoder, M. L. A. FOK, L. Xiao, and T. Yamasaki, The 26th Meeting on Image Recognition and Understanding (MIRU), IS1-84, 2023.
11. Improving Fashion Compatibility Prediction with Color Distortion Prediction, L. Xiao, and T. Yamasaki, 信学技報, 画像工学研究会 (IE), vol. 122, no. 385, IE2022-61, pp. 17-18, 2023.
12. Multi-Level Attention Network for Fine-Grained Fashion Retrieval, L. Xiao and T. Yamasaki, 信学技報, MVE, vol. 122, no. 440, MVE2022-90, pp. 198-199, 2023
13. SAT: Self-adaptive training for fashion compatibility prediction, L. Xiao and T. Yamasaki, The 25th Meeting on Image Recognition and Understanding (MIRU), 2022
14. Spatial Attention Based Fashion Compatibility Prediction, L. Xiao and T. Yamasaki, PCSJ/IMPS2021, P-3-17, pp. 135-136, 2021
15. Design and Analysis of Attention-Aware Embedding Network for Fashion Compatibility Prediction, L. Xiao and T. Yamasaki, ITE 冬季大会, 21A-6, 2021

Patents (China)

1. 一种可视化的起重机吊取定位系统, 胡友民、肖玲、吴波、刘颉 发明专利 专利号: ZL201611246219.5
2. 一种焊接熔池动态过程的在线监测系统及方法, 胡友民、刘颉、肖玲、唐松、谷勇 发明专利，专利号: ZL201610288460.8
3. 一种用于焊接熔池在线监测平台的多功能夹具, 胡友民、唐松、肖玲、谷勇、刘颉 实用新型专利，专利号: ZL201620434683.6