Yang, Xiaochen

8 publications

CVPR 2024 Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction Zhenzhong Kuang, Xiaochen Yang, Yingjie Shen, Chao Hu, Jun Yu

NeurIPS 2024 Once Read Is Enough: Domain-Specific Pretraining-Free Language Models with Cluster-Guided Sparse Experts for Long-Tail Domain Knowledge Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang

ICLR 2023 Over-Parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang

NeurIPS 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang

AAAI 2022 HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi

ECML-PKDD 2020 CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies Jiao Sun, Mingxuan Yue, Zongyu Lin, Xiaochen Yang, Luciano Nocera, Gabriel Kahn, Cyrus Shahabi

NeurIPS 2020 Generalization Bound of Gradient Descent for Non-Convex Metric Learning Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue

ECML-PKDD 2020 Metric Learning for Categorical and Ambiguous Features: An Adversarial Method Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue