Yan, Da

10 publications

IJCAI 2025 Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza

ICML 2025 Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou

IJCAI 2024 EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou

AAAI 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou

ICLR 2024 Towards Understanding Sycophancy in Language Models Mrinank Sharma, Meg Tong, Tomasz Korbak, David Duvenaud, Amanda Askell, Samuel R. Bowman, Esin Durmus, Zac Hatfield-Dodds, Scott R Johnston, Shauna M Kravec, Timothy Maxwell, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez

ICML 2023 Dimension-Independent Certified Neural Network Watermarks via Mollifier Smoothing Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan

ICML 2023 Fast Federated Machine Unlearning with Nonlinear Functional Theory Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan

ICLR 2023 Rethinking Graph Lottery Tickets: Graph Sparsity Matters Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku

ICML 2021 Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning Against Adversarial Attacks Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan

AAAI 2020 Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan