Experience
Education
Grand
Research Funding of Post-doctor Residing in Shenzhen, 2021,07.29
Fellowship of China Postdoctoral Science Foundation, 2020.07.07
Project
DNN Compression for Dialog Models, OPPO Inc., 2020.
Research Interest
Cloud Native & Edge Computing
Deep Neural Network Compression
Neural Machine Translation
Object Detection
Journal
- Guiying Li, Peng Yang, Chao Qian, Richang Hong, and Ke Tang: Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [Early access][Github]
- Wenjing Hong, Guiying Li, Shengcai Liu, Peng Yang, and Ke Tang: Multi-Objective Evolutionary Optimization for Hardware-Aware Neural Network Pruning. Fundamental Research, 2022. [Pre-proof]
- Yunwen Lei, Ting Hu, Guiying Li*, and Ke Tang: Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 31(10): 4394-4400, October 2020. [paper]
- Juncheng Wang, Guiying Li*: Accelerate proposal generation in R-CNN methods for fast pedestrian extraction. The Electronic Library, 37(3): 435-453, June 2019. [paper]
Conference
- Han Li, Guiying Li*: Learning to Solve Capacitated Arc Routing Problems by Policy Gradient. In Proceedings of IEEE Congress on Evolutionary Computation 2019 (CEC 2019), pages 1291-1298, Wellington, New Zealand, June 2019. [paper]
- Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, and Ke Tang. Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), pages 2383-2389, Stockholm, Sweden, 2018. [pdf link][Github]
- Guiying Li, Junlong Liu, Chunhui Jiang, Liangpeng Zhang, and Ke Tang. Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection. In Proceedings of the 14th International Symposium on Neural Networks (ISNN 2017), pages 386-394, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, 2017. [paper][Github]
- Chao Qian, Guiying Li, Chao Feng, and Ke Tang. Distributed Pareto Optimization for Subset Selection. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), pages 1492-1498, Stockholm, Sweden, 2018. [pdf link][code package]
- Chunhui Jiang, Guiying Li, Chao Qian, and Ke Tang. Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), pages 2298-2304, Stockholm, Sweden, 2018. [pdf link][code package]
- Chunhui Jiang, Guiying Li, and Chao Qian. Dynamic and Adaptive Threshold for DNN Compression from Scratch. In Proceedings of the 11th International Conference on Simulated Evolution and Learning (SEAL 2017), pages 858-869, Shenzhen, China, 2017. [paper]
- Chunhui Jiang, Guiying Li, Junlong Liu, Yunfeng Liu, and Ke Tang. A Trajectory-based Approach for Object Detection from Video. In Proceedings of 2016 International Joint Conference on Neural Networks (IJCNN 2016), pages 2887-2893, Vancouver, BC, Canada, 2016. [paper]
Invention
- 李皈颖, 杨鹏, 唐珂,姚新. 用于显示屏幕面板的人工智能研发云系统操作图形用户界面. 外观新型. 2022-05-13. 中国.
- 李皈颖, 杨鹏, 唐珂,姚新. 用于显示屏幕面板的人工智能应用云系统操作图形用户界面. 外观新型. 2022-05-13. 中国.
- 李皈颖;杨鹏;唐珂. 路径规划方法、装置、设备和存储介质. 发明专利. 2021-06-15. 中国.
- 李皈颖;汪至圆;唐珂;杨鹏. 语音控制指令的生成方法、装置、计算机设备及存储介质. 发明专利. 2022-10-25. 中国.
- LI Guiying, YANG Peng, TANG Ke, YAO Xin. 基于二维码的物流管理系（Logistikmanagementsystem auf der Basis eines zweidimensionalen Codes）. 实用新型. 2022-10-27. 德国.
