Liu, Yongchao

7 publications

ECML-PKDD 2024 GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang

AAAI 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji

ECML-PKDD 2024 Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang

NeurIPS 2023 AGD: An Auto-Switchable Optimizer Using Stepwise Gradient Difference for Preconditioning Matrix Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang

ECML-PKDD 2021 Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu

AAAI 2021 Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation Tianchu Guo, Hui Zhang, ByungIn Yoo, Yongchao Liu, Youngjun Kwak, Jae-Joon Han

ICCVW 2019 A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo, Yongchao Liu, Hui Zhang, Xiabing Liu, Youngjun Kwak, ByungIn Yoo, Jae-Joon Han, Changkyu Choi