Lu, Yu

27 publications

AAAI 2025 Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training Haifan Gong, Yu Lu, Xiang Wan, Haofeng Li

NeurIPS 2025 Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer Zechuan Zhang, Ji Xie, Yu Lu, Zongxin Yang, Yi Yang

AAAI 2025 Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract) Deliang Wang, Yu Lu, Gaowei Chen

NeurIPS 2025 FlexSelect: Flexible Token Selection for Efficient Long Video Understanding Yunzhuzhang, Yu Lu, Tianyi Wang, Fengyun Rao, Yi Yang, Linchao Zhu

CVPR 2025 HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization Zitang Zhou, Ke Mei, Yu Lu, Tianyi Wang, Fengyun Rao

CVPR 2024 ActiveDC: Distribution Calibration for Active Finetuning Wenshuai Xu, Zhenghui Hu, Yu Lu, Jinzhou Meng, Qingjie Liu, Yunhong Wang

NeurIPS 2024 Automated Multi-Level Preference for MLLMs Mengxi Zhang, Wenhao Wu, Yu Lu, Yuxin Song, Kang Rong, Huanjin Yao, Jianbo Zhao, Fanglong Liu, Haocheng Feng, Jingdong Wang, Yifan Sun

NeurIPS 2024 FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention Yu Lu, Yuanzhi Liang, Linchao Zhu, Yi Yang

AAAI 2024 Model AI Assignments 2024 Todd W. Neller, Pia Bideau, David Bierbach, Wolfgang Hönig, Nir Lipovetzky, Christian Muise, Lino Coria, Claire Wong, Stephanie Rosenthal, Yu Lu, Ming Gao, Jingjing Zhang

AAAI 2023 Develop AI Teaching and Learning Resources for Compulsory Education in China Jiachen Song, Jinglei Yu, Li Yan, Linan Zhang, Bei Liu, Yujin Zhang, Yu Lu

CVPRW 2023 Glass Wool Defect Detection Using an Improved YOLOv5 Yizhou Jin, Yu Lu, Gang Zhou, Qingjie Liu, Yunhong Wang

ACML 2022 Asynchronous Personalized Federated Learning with Irregular Clients Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui

ECML-PKDD 2022 Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui

CVPR 2022 CRIS: CLIP-Driven Referring Image Segmentation Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu

ICMLW 2022 ECLIP: Efficient Contrastive Language-Image Pretraining via Ensemble Confidence Learning and Masked Language Modeling Jue Wang, Haofan Wang, Weijia Wu, Jincan Deng, Yu Lu, Xiaofeng Guo, Debing Zhang

CoLLAs 2022 EFL: Elastic Federated Learning on Non-IID Data Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui

AAAI 2022 Paving the Way for Novices: How to Teach AI for K-12 Education in China Jiachen Song, Linan Zhang, Jinglei Yu, Yan Peng, Anyao Ma, Yu Lu

AAAI 2021 An Intelligent Assistant for Problem Behavior Management Penghe Chen, Yu Lu, Jiefei Liu, Qi Xu

ACML 2021 PFedAtt: Attention-Based Personalized Federated Learning on Heterogeneous Clients Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui

AAAI 2021 RadarMath: An Intelligent Tutoring System for Math Education Yu Lu, Yang Pian, Penghe Chen, Qinggang Meng, Yunbo Cao

ECCV 2020 GINet: Graph Interaction Network for Scene Parsing Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, MingWu, Zhanyu Ma, Guodong Guo

AAAI 2020 Object Instance Mining for Weakly Supervised Object Detection Chenhao Lin, Siwen Wang, Dongqi Xu, Yu Lu, Wayne Zhang

AAAI 2019 Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age Yu Lu, Xi Zhang, Xianghua Fu, Fangxiong Chen, Kelvin Kian Loong Wong

ICML 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits Lihong Li, Yu Lu, Dengyong Zhou

IJCAI 2016 An Intelligent System for Taxi Service Monitoring, Analytics and Visualization Yu Lu, Gim Guan Chua, Huayu Wu, Clement Shi Qi Ong

ICML 2016 Exact Exponent in Optimal Rates for Crowdsourcing Chao Gao, Yu Lu, Dengyong Zhou

JMLR 2016 Optimal Estimation and Completion of Matrices with Biclustering Structures Chao Gao, Yu Lu, Zongming Ma, Harrison H. Zhou