| 2025 | AAAI | ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models. | Qing Yu, Mikihiro Tanaka, Kent Fujiwara |
| 2025 | ACL | Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. | Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa |
| 2025 | COLING | META-LORA: Memory-Efficient Sample Reweighting for Fine-Tuning Large Language Models. | Weicheng Li, Lixin Zou, Min Tang, Qing Yu, Wanli Li, Chenliang Li |
| 2025 | CSCWD | FFDFormer: A Fourier Decomposed Transformer with Inter-Intra Variable Fourier Dependencies for Multivariate Time Series Forecasting. | Zhen Dong, Qing Yu |
| 2025 | ICCV | PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups. | Sakuya Ota, Qing Yu, Kent Fujiwara, Satoshi Ikehata, Ikuro Sato |
| 2025 | ICIP | A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models. | Shiho Noda, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa |
| 2025 | ICIS | Individualized Value Discovery using LLMs for Short Video Recommendation. | Kejun Chen, Shuchang Liu, Jiayin Zhang, Zhitao Yin, Yandong Bai, Xin Li, Sean Xin Xu, Qing Yu, Xiang Li |
| 2025 | IJCNN | AMNET: Attention-Base Multiscale Network for Image-Text Matching. | Jiabao Hai, Qing Yu, Yutong Gan, Mingshuo Wang, Yuhui Zhou |
| 2025 | PRICAI | SplatOpt: An Optimization-Guided Framework for Joint Sparsification and High-Quality Reconstruction in 3D Gaussian Splatting. | Hongfei Wang, Sisi Zeng, Qing Yu |
| 2025 | SMC | WL-GS: A Gaussian Splatting Method for Unconstrained Photo Collection under Resource-Limited Conditions. | Hongfei Wang, Sisi Zeng, Qing Yu |
| 2025 | SMC | Enhancing Chinese short text entity linking based on entity co-occurrence features. | Qing Yu, Yanliang Guo, Jiasheng Yao, Yehang Li |
| 2024 | CSCWD | CGTS: A Transformer framework for time series prediction based on feature extraction. | Yunpeng Ma, Qing Yu |
| 2024 | CSCWD | WDFormer: Acceptable Field Growth Transformer with Windows for Long Sequence Time-Series Forecasting. | Jinghong Yang, Qing Yu |
| 2024 | CVPR | Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches. | Qing Yu, Mikihiro Tanaka, Kent Fujiwara |
| 2024 | ECCV | Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models. | Kent Fujiwara, Mikihiro Tanaka, Qing Yu |
| 2024 | ICCBR | Optimizing Vehicle Trajectories and Ensuring Pedestrian Safety in Complex Traffic. | Zhenwei Xu, Jiaqi Zeng, Yaoyong Zhou, Qing Yu, Wushouer Silamu |
| 2024 | ICONIP | A Global Interactive and Bottleneck Fusion Model for Multi-intent Spoken Language Understanding. | Yanliang Guo, Qing Yu, Mingshuo Wang, Yuhui Zhou |
| 2024 | IJCNN | TSD-YOLOv5: A traffic sign recognition algorithm based on improved YOLOv5. | Geng Kong, Qing Yu |
| 2024 | IJCNN | COFormer: Co-optimisation Transformer of Multilayer Perceptron and Dilated Causal Convolution for Long Sequence Time Series Forecasting. | Jinghong Yang, Qing Yu |
| 2023 | AAAI | Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition. | Qing Yu, Kent Fujiwara |
| 2023 | CSCWD | SKRAG: Sampling on Knowledge Graph for Recommendation with Relational Path-aware Graph Neural Network. | Yixuan Ge, Qing Yu, Zuohua Wang |
| 2023 | ICA3PP | SR-KGELS: Social Recommendation Based on Knowledge Graph Embedding Method and Long-Short-Term Representation. | Xuechang Zhao, Qing Yu |
| 2023 | ICIP | Noise-Avoidance Sampling for Annotation Missing Object Detection. | Jiafeng Mao, Qing Yu, Go Irie, Kiyoharu Aizawa |
| 2023 | ICONIP | S-CGRU: An Efficient Model for Pedestrian Trajectory Prediction. | Zhenwei Xu, Qing Yu, Wushouer Slamu, Yaoyong Zhou, Zhida Liu |
| 2023 | ISCC | Streaming Session Recommendation Based on User's Global Attributes. | Xuechang Zhao, Qing Yu, Yifan Wang |
| 2023 | WACV | Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. | Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa |
| 2023 | WISE | TSEGformer: Time-Space Dimension Dependency Transformer for Use in Multivariate Time Series Prediction. | Yuan Feng, Qing Yu |
| 2022 | AAAI | Self-Labeling Framework for Novel Category Discovery over Domains. | Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa |
| 2022 | CSCWD | Improved Global and Local Graph Neural Network for Session-based Recommendation. | Yifan Wang, Qing Yu, Zuohua Wang |
| 2021 | BMVC | Noisy Annotation Refinement for Object Detection. | Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa |
| 2021 | CSCWD | Social Recommendation Combining Implicit Information and Rating Bias. | Weizhi Ying, Qing Yu, Zuohua Wang |
| 2021 | CVPR | Divergence Optimization for Noisy Universal Domain Adaptation. | Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku |
| 2020 | ECCV | Multi-task Curriculum Framework for Open-Set Semi-supervised Learning. | Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa |
| 2020 | ICIP | Noisy Localization Annotation Refinement For Object Detection. | Jiafeng Mao, Qing Yu, Kiyoharu Aizawa |
| 2020 | ICIP | Unknown Class Label Cleaning For Learning With Open-Set Noisy Labels. | Qing Yu, Kiyoharu Aizawa |
| 2020 | ICPR | The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. | Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa |
| 2019 | ICCV | Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. | Qing Yu, Kiyoharu Aizawa |
| 2019 | ICNC | Dynamic Detection of Malicious Code on Android Based on Improved Multi-feature Gaussian Kernel. | Qing Yu, Xixi Luo, Zuohua Wang |
| 2018 | ICIP | Food Image Recognition by Personalized Classifier. | Qing Yu, Masashi Anzawa, Sosuke Amano, Makoto Ogawa, Kiyoharu Aizawa |
| 2014 | ACCV | Automatic Shoeprint Retrieval Algorithm for Real Crime Scenes. | Xinnian Wang, Huihui Sun, Qing Yu, Chi Zhang |
| 2013 | DASFAA | Distributed Anonymization for Multiple Data Providers in a Cloud System. | Xiaofeng Ding, Qing Yu, Jiuyong Li, Jixue Liu, Hai Jin |
| 2012 | SIGIR | Multi-aspect query summarization by composite query. | Wei Song, Qing Yu, Zhiheng Xu, Ting Liu, Sheng Li, Ji-Rong Wen |
| 2010 | INFOCOM | Multi-Channel Assignment in Wireless Sensor Networks: A Game Theoretic Approach. | Qing Yu, Jiming Chen, Yanfei Fan, Xuemin Shen, Youxian Sun |
| 2009 | ICNC | Parameter Optimization of e-Support Vector Machine by Genetic Algorithm. | Qing Yu, Baohua Zhang, Jinlin Wang |
| 2009 | INFOCOM | Mining the Web and the Internet for Accurate IP Address Geolocations. | Chuanxiong Guo, Yunxin Liu, Wenchao Shen, Helen J. Wang, Qing Yu, Yongguang Zhang |
| 2007 | ECIR | Improve Ranking by Using Image Information. | Qing Yu, Shuming Shi, Zhiwei Li, Ji-Rong Wen, Wei-Ying Ma |
| 2006 | PRIMA | Description Logic Based Composition of Web Services. | Fen Lin, Lirong Qiu, He Huang, Qing Yu, Zhongzhi Shi |
| 2006 | PRIMA | A DDL Based Formal Policy Representation. | Maoguang Wang, Li Zeng, Jiewen Luo, Qing Yu |
| 2005 | SIGIR | Gravitation-based model for information retrieval. | Shuming Shi, Ji-Rong Wen, Qing Yu, Ruihua Song, Wei-Ying Ma |
| 2002 | ICCCN | A comparative study on the coherent approaches to cooperation between TCP and ATM congestion control algorithms. | Qing Yu, Doan B. Hoang, David Dagan Feng |
| 2002 | ICIP | A triage method of determining the extent of JPEG compression artifacts. | Jiebo Luo, Qing Yu, Michael E. Miller |