Ling, Qing

14 publications

AISTATS 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients Yue Huang, Jiaojiao Zhang, Qing Ling

JMLR 2025 Mean Aggregator Is More Robust than Robust Aggregators Under Label Poisoning Attacks on Distributed Heterogeneous Data Jie Peng, Weiyu Li, Stefan Vlaski, Qing Ling

JMLR 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity Qiankun Shi, Jie Peng, Kun Yuan, Xiao Wang, Qing Ling

IJCAI 2025 Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction Jiaqi Zheng, Qing Ling, Yerong Feng

IJCAI 2024 Mean Aggregator Is More Robust than Robust Aggregators Under Label Poisoning Attacks Jie Peng, Weiyu Li, Qing Ling

IJCAI 2022 Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation Heng Zhu, Qing Ling

NeurIPS 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model Yu Wang, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei

MLJ 2019 An Accelerated Variance Reducing Stochastic Method with Douglas-Rachford Splitting Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling

AAAI 2019 RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling

NeurIPS 2018 Solving Non-Smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach Xiaohan Wei, Hao Yu, Qing Ling, Michael Neely

CVPR 2016 D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, Thomas S. Huang

AAAI 2016 Learning Deep ℓ0 Encoders Zhangyang Wang, Qing Ling, Thomas S. Huang

IJCAI 2016 Learning a Deep ℓ∞ Encoder for Hashing Zhangyang Wang, Yingzhen Yang, Shiyu Chang, Qing Ling, Thomas S. Huang

ICML 2015 Multi-Task Learning for Subspace Segmentation Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell