Surface Defect Detection using Hierarchical Features. - Ling Xiao 001; Tao Huang; Bo Wu 006; Youmin Hu; Jiehan Zhou (CASE, 2019)

OSED: Object-specific edge detection. - Ling Xiao 001; Bo Wu 006; Youmin Hu (J. Vis. Commun. Image Represent., 2020)

Missing Small Fastener Detection Using Deep Learning. - Ling Xiao 001; Bo Wu 006; Youmin Hu (IEEE Trans. Instrum. Meas., 2021)

Sat: Self-Adaptive Training for Fashion Compatibility Prediction. - Ling Xiao 001; Toshihiko Yamasaki (ICIP, 2022)

Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction. - Ling Xiao 001; Toshihiko Yamasaki (CoRR, 2022)

Bridging the Capacity Gap for Online Knowledge Distillation. - Maorong Wang; Hao Yu 014; Ling Xiao 001; Toshihiko Yamasaki (MIPR, 2023)

Toward a More Robust Fine-Grained Fashion Retrieval. - Ling Xiao 001; Xiaofeng Zhang 005; Toshihiko Yamasaki (MIPR, 2023)

Learning Fashion Compatibility with Color Distortion Prediction. - Ling Xiao 001; Xiaofeng Zhang 005; Toshihiko Yamasaki (MIPR, 2023)

MetaMixer: A Regularization Strategy for Online Knowledge Distillation. - Maorong Wang; Ling Xiao 001; Toshihiko Yamasaki (CoRR, 2023)

Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering. - Zerun Wang; Ling Xiao 001; Liuyu Xiang; Zhaotian Weng; Toshihiko Yamasaki (CoRR, 2023)

Improving Plasticity in Online Continual Learning via Collaborative Learning. - Maorong Wang; Nicolas Michel; Ling Xiao 001; Toshihiko Yamasaki (CVPR, 2024)

SCOMatch: Alleviating Overtrusting in Open-Set Semi-supervised Learning. - Zerun Wang; Liuyu Xiang; Lang Huang 001; Jiafeng Mao; Ling Xiao 001; Toshihiko Yamasaki (ECCV (51), 2024)

Adversarially Robust Continual Learning with Anti-Forgetting Loss. - Koki Mukai; Soichiro Kumano; Nicolas Michel; Ling Xiao 001; Toshihiko Yamasaki (ICIP, 2024)

Rethinking Momentum Knowledge Distillation in Online Continual Learning. - Nicolas Michel; Maorong Wang; Ling Xiao 001; Toshihiko Yamasaki (ICML, 2024)

HetSpot: Analyzing Tourist Spot Popularity with Heterogeneous Graph Neural Network. - Hiromasa Yamanishi; Ling Xiao 001; Toshihiko Yamasaki (IVSP, 2024)

Language-Guided Self-Supervised Video Summarization Using Text Semantic Matching Considering the Diversity of the Video. - Tomoya Sugihara; Shuntaro Masuda; Ling Xiao 001; Toshihiko Yamasaki (MMAsia, 2024)

E-ReaRev: Adaptive Reasoning for Question Answering over Incomplete Knowledge Graphs by Edge and Meaning Extensions. - Xiaotong Ye; Ling Xiao 001; Chi Zhang; Toshihiko Yamasaki (NLDB (2), 2024)

A Multimodal Dataset and Benchmark for Tourism Review Generation. - Hiromasa Yamanishi; Ling Xiao 001; Toshihiko Yamasaki (RecTour@RecSys, 2024)

LLaVA-Tour: A Large Multimodal Model for Japanese Tourist Spot Prediction and Review Generation. - Hiromasa Yamanishi; Ling Xiao 001; Toshihiko Yamasaki (VCIP, 2024)

Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval. - Ling Xiao 001; Toshihiko Yamasaki (IEEE Access, 2024)

STFE-Net: A multi-stage approach to enhance statistical texture feature for defect detection on metal surfaces. - Hao Zhong; Daxing Fu; Ling Xiao 001; Fang Zhao; Jie Liu 017; Youmin Hu; Bo Wu 006 (Adv. Eng. Informatics, 2024)

LiFSO-Net: A lightweight feature screening optimization network for complex-scale flat metal defect detection. - Hao Zhong; Ling Xiao 001; Haifeng Wang; Xin Zhang; Chenhui Wan; Youmin Hu; Bo Wu 006 (Knowl. Based Syst., 2024)

TourMLLM: A Retrieval-Augmented Multimodal Large Language Model for Multitask Learning in the Tourism Domain. - Hiromasa Yamanishi; Ling Xiao 001; Toshihiko Yamasaki (ICMR, 2025)

LITA: LMM-Guided Image-Text Alignment for Art Assessment. - Tatsumi Sunada; Kaede Shiohara; Ling Xiao 001; Toshihiko Yamasaki (MMM (2), 2025)

Multi-level knowledge distillation for fine-grained fashion image retrieval. - Ling Xiao 001; Toshihiko Yamasaki (Knowl. Based Syst., 2025)

LLM-Advisor: An LLM Benchmark for Cost-efficient Path Planning across Multiple Terrains. - Ling Xiao 001; Toshihiko Yamasaki (CoRR, 2025)

GeoDCL: Weak Geometrical Distortion-Based Contrastive Learning for Fine-Grained Fashion Image Retrieval. - Ling Xiao 001; Toshihiko Yamasaki (IEEE Trans. Artif. Intell., 2025)