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.
- GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight SparsityWei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren. pami, 44(10):6224-6239, 2022. [doi]
- PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight PruningWei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren. asplos 2020: 907-922 [doi]
- An E-learning Support Toolkit for Social Work Students on PlacementPei Zhang, Gary Wills, Yvonne Howard, Samia Oussena, Dean Kramer, Ravinder Barn, Balbir Barn. In Proceedings of the IADIS International Conference on e-Learning. 2009:
- Multi-granularity Pruning for Model Acceleration on Mobile DevicesTianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng 0001. eccv 2022: 484-501 [doi]
- PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile DevicesXiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang 0008, Kaisheng Ma, Bin Ren, Yanzhi Wang. AAAI 2020: 5117-5124 [doi]
- 3D Scene Annotation for Efficient Rendering on Mobile DevicesSiak Chuan Tan, Binh Pham, Jinglan Zhang, On Wong. dicta 2007: 196-202 [doi]