International Conferences (Peer-reviewed)

1. ActRecognition-GPT: Utilizing Multimodal Large Language Models for Spatiotemporal Action Recognition in Nursery Videos, K. Watanabe, S. Masuda, L. Xiao, and T. Yamasaki, The 1st International Workshop on Foundation, Multimodal Large Language and Generative Models for Face and Gesture Recognition (FM&LLM&GM 2025), the 19th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2025), accepted, 2025
2. TourMLLM: A Retrieval-Augmented Multimodal Large Language Model for Multitask Learning in the Tourism Domain, H. Yamanishi, L. Xiao*[corresponding author], and T. Yamasaki, The 15th ACM International Conference on Multimedia Retrieval (ICMR), pp. 1654-1663, 2025, Best paper award!
3. Explainable AI for Image Aesthetic Evaluation Using Vision-Language Models, S. Viriyavisuthisakul, S.n Yoshida, K. Shiohara, L. Xiao and T. Yamasaki, IEEE Conference on Artificial Intelligence x Multimedia (AIxMM), pp. 62-65, 2025
4. 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), pp. 268-281, 2025
5. 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 , pp. 1-1, 2024 [Code]
6. 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 , pp. 1-5, 2024 [Best Paper Candidate] [Code]
7. 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) , 2024
8. 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) , pp. 217-233, 2024
9. 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
10. 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
11. Rethinking Momentum Knowledge Distillation in Online Continual Learning, N. Michel, M. Wang, L. Xiao, and T. Yamasaki, International Conference on Machine Learning (ICML) , pp. 35607-35622, 2024 [Code]
12. 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]
13. 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]
14. 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
15. 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]
16. 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
17. 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]
18. SAT: Self-adaptive training for fashion compatibility prediction, L. Xiao and T. Yamasaki, IEEE International Conference on Image Processing (ICIP), pp. 2431-2435, 2022
19. Surface defect detection using hierarchical features, L. Xiao, T. Huang, B. Wu, Y. Hu, and J. Zhou, International Conference on Automation Science and Engineering, pp. 1592-1596, 2019
20. 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, pp. 262-266, 2017

International Journals (Peer-reviewed)

1. GeoDCL: Weak Geometrical Distortion based Contrastive Learning for Fine-grained Fashion Image Retrieval, L. Xiao and T. Yamasaki, IEEE Transactions on Artificial Intelligence, vol.1, pp. 1-13, 2025.
2. Multi-level Knowledge Distillation for Fine-grained Fashion Image Retrieval, L. Xiao and T. Yamasaki, Knowledge-Based Systems, vol.310, p.112955, 2025.
3. LiFSO-Net: 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.
4. 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]
5. 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
6. Missing small fastener detection using deep learning, L. Xiao, B. Wu, and Y. Hu, IEEE Transactions on Instrumentation and Measurement, vol.70, pp.1-9, 2020
7. OSED: Object-specific edge detection, L. Xiao, B. Wu, and Y. Hu, Journal of Visual Communication and Image Representation, vol.72, pp.102918, 2020
8. 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, vol.107, pp.2485-2496, 2020
9. A hierarchical features-based model for freight train defect inspection, L. Xiao, B. Wu, Y. Hu, and J. Liu, IEEE Sensors Journal, vol.20(5), pp.2671-2678, 2019
10. Surface defect detection using image pyramid, L. Xiao, B. Wu, and Y. Hu, IEEE Sensors Journal, vol.20(13), pp.7181-7188, 2020

Arxiv papers

1. LLM-Advisor: An LLM Benchmark for Cost-efficient Path Planning across Multiple Terrains, L. Xiao and T. Yamasaki, arXiv preprint arXiv:2503.01236., 2025
2. LLM-Advisor: An LLM Benchmark for Cost-efficient Path Planning across Multiple Terrains, L. Xiao and T. Yamasaki, arXiv:2503.01236, 2025
3. 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
4. Rethinking Momentum Knowledge Distillation in Online Continual Learning, N. Michel, M. Wang, L. Xiao, and T. Yamasaki, arXiv preprint arXiv:2309.02870., 2023
5. 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
6. MetaMixer: A Regularization Strategy for Online Knowledge Distillation, M. Wang, L. Xiao and T. Yamasaki, arXiv preprint arXiv:2303.07951., 2023
7. Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction, L. Xiao and T. Yamasaki, arXiv preprint arXiv:2212.14680., 2022
8. 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. Few-shot推論によるアノテータに個人適応可能なビデオ要約, 杉原朋弥, 増田俊太郎, 肖玲, 山崎俊彦, The 28th Meeting on Image Recognition and Understanding (MIRU), IS3-102, 2025.
2. 時空間情報を統合したプロンプトを用いた保育施設映像の行動認識, 渡辺健太, 増田俊太郎, 肖玲, 山崎俊彦, The 28th Meeting on Image Recognition and Understanding (MIRU), IS2-081, 2025.
3. LLM-Advisor: Leveraging LLMs as Advisors for Cost-efficient Path Planning Across Diverse Terrains, Ling Xiao and Toshihiko Yamasaki, The 28th Meeting on Image Recognition and Understanding (MIRU), IS2-185, 2025.
4. TourMLLM: 検索拡張大規模観光マルチモーダルモデル, 山西博雅, Ling Xiao, 山崎俊彦, The 28th Meeting on Image Recognition and Understanding (MIRU), IS2-119, 2025.
5. 基盤モデルによる視覚的評価を用いた動画広告の効果分析, 田邉克晃, 増田俊太郎, 劉岳松, 丹治直人, 勢〆弘幸, 肖玲, 山崎俊彦, The 28th Meeting on Image Recognition and Understanding (MIRU), OS2C-06, 2025. [Oral]
6. Content-Aware Layout Generation with Large Language Models, Chen FU, Naoto Tanji, Gakumatsu Ryu, Hiroyuki SESHIME, Shengzhou Yi, Ling Xiao, and Toshihiko Yamasaki, The 28th Meeting on Image Recognition and Understanding (MIRU), IS1-102, 2025.
7. タスク適応的検索拡張学習に基づく観光特化大規模マルチモーダルモデル, 山西博雅, 肖　玲, 山崎俊彦 信学技報, 画像工学研究会 (IE), IE2024-61
8. Explainable Image Aesthetic Assessment Leveraging Vision-Language Models, S. Viriyavisuthisakul, S.n Yoshida, K. Shiohara, L. Xiao and T. Yamasaki, 信学技報, 画像工学研究会 (IE), IE2024-66
9. Momentum Knowledge Distillation for Enhanced Online Continual Learning, N. Michel, M. Wang, L. Xiao, and T. Yamasaki, 信学技報, 画像工学研究会 (IE), IE2024-57
10. Llava-Planner: Enhancing Spatial Awareness of LLaVA for Cost-Effective Path Planning, L. Xiao, H. Yamanishi, and T. Yamasaki, 信学技報, 画像工学研究会 (IE), IE2024-44
11. LLM-Advisor: A LLM Benchmark for Cost-effective Path Planning, L. Xiao and T. Yamasaki, PCSJ/IMPS2024 , P-2-05, 2024
12. マルチモーダル観光レビュー生成データセットと大規模レビュー生成モデルの作成, H. Yamanishi, L. Xiao, and T. Yamasaki, PCSJ/IMPS2024 , P-4-18, 2024
13. 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]
14. 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]
15. 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]
16. 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.
17. 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.
18. 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]
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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
25. SAT: Self-adaptive training for fashion compatibility prediction, L. Xiao and T. Yamasaki, The 25th Meeting on Image Recognition and Understanding (MIRU), 2022
26. Spatial Attention Based Fashion Compatibility Prediction, L. Xiao and T. Yamasaki, PCSJ/IMPS2021, P-3-17, pp. 135-136, 2021
27. 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. 一种用于静脉穿刺的穿刺靶点识别与定位方法, 肖玲、欧阳浩、叶霖、韩斌、陈学东、杨新 发明专利 专利号: 202210202422 .1 申请中
2. 一种钢卷双目视觉定位方法及设备, 胡友民、肖玲、吴波 发明专利 专利号: 201810094718 .X, 授权日：2020.09.18
3. 一种基于视觉的钢卷定位方法及设备, 胡友民、肖玲、吴波 发明专利 专利号: 201811059328 .5, 授权日：2020.07.10
4. 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: 201611246219.5, 授权日：2018.01.02
5. 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: 201610288460.8, 授权日：2018.06.12
6. 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: 201620434683.6, 授权日：2016.10.05
7. 一种针对光流图的快速的FCM图像分割方法, 胡友民、胡中旭、吴波、武敏健、刘颉、肖玲、王诗杰、李雪莲 发明专利，专利号: 201710530461.3, 授权日：2019.11.12 (2023年度湖北省科学技术奖提名)