Qiu, Meikang

11 publications

IJCAI 2025 A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection over Data Streams Zhong Chen, Yi He, Di Wu, Chen Zhao, Meikang Qiu

CVPR 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Meikang Qiu, Shuhan Qi, Shu-Tao Xia

CVPR 2025 MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output Yanyuan Chen, Dexuan Xu, Yu Huang, Songkun Zhan, Hanpin Wang, Dongxue Chen, Xueping Wang, Meikang Qiu, Hang Li

IJCAI 2025 T2S: High-Resolution Time Series Generation with Text-to-Series Diffusion Models Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan

NeurIPS 2025 Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu

IJCAI 2025 fairGNN-WOD: Fair Graph Learning Without Complete Demographics Zichong Wang, Fang Liu, Shimei Pan, Jun Liu, Fahad Saeed, Meikang Qiu, Wenbin Zhang

ECCV 2024 A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia

IJCAI 2024 Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation Fei Xiong, Haoran Sun, Gui Xun Luo, Shirui Pan, Meikang Qiu, Liang Wang

IJCAI 2024 Visual Attention Prompted Prediction and Learning Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao

IJCAI 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms Yihan Zhang, Meikang Qiu, Hongchang Gao

ICML 2023 Deep Graph Representation Learning and Optimization for Influence Maximization Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao