The following publications are possibly variants of this publication:
- Adversarial robustness of deep neural networks: A survey from a formal verification perspectiveMeng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun, Dong, Jin Song. IEEE Transactions on Dependable and Secure Computing, , 2022.
- Serving unseen deep learning models with near-optimal configurations: a fast adaptive search approachYuewen Wu, Heng Wu, Diaohan Luo, Yuanjia Xu, Yi Hu, Wenbo Zhang 0006, Hua Zhong 0007. CLOUD 2022: 461-476 [doi]
- Scheduling CPU for GPU-based Deep Learning JobsWencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou. CLOUD 2018: 503 [doi]
- BigDL: A Distributed Deep Learning Framework for Big DataJason Jinquan Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Li Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song. CLOUD 2019: 50-60 [doi]
- OneAdapt: Fast Adaptation for Deep Learning Applications via BackpropagationKuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang. CLOUD 2023: 158-176 [doi]
- GreenDRL: managing green datacenters using deep reinforcement learningKuo Zhang, Peijian Wang, Ning Gu, Thu D. Nguyen. CLOUD 2022: 445-460 [doi]