| Stochastic gradient descent for nonconvex learning without bounded gradient assumptions Y Lei, T Hu, G Li, K Tang IEEE transactions on neural networks and learning systems 31 (10), 4394-4400, 2019 | 88 | 2019 |
| Optimization based layer-wise magnitude-based pruning for DNN compression. G Li, C Qian, C Jiang, X Lu, K Tang IJCAI, 2383-2389, 2018 | 49 | 2018 |
| Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. C Jiang, G Li, C Qian, K Tang IJCAI 2018, 2-2, 2018 | 39 | 2018 |
| Distributed Pareto Optimization for Subset Selection. C Qian, G Li, C Feng, K Tang IJCAI, 1492-1498, 2018 | 12 | 2018 |
| Relief R-CNN: Utilizing convolutional features for fast object detection G Li, J Liu, C Jiang, L Zhang, M Lin, K Tang Advances in Neural Networks-ISNN 2017: 14th International Symposium, ISNN …, 2017 | 6 | 2017 |
| Accelerate proposal generation in R-CNN methods for fast pedestrian extraction J Wang, G Li The Electronic Library 37 (3), 435-453, 2019 | 4 | 2019 |
| Learning to solve capacitated arc routing problems by policy gradient H Li, G Li 2019 IEEE Congress on Evolutionary Computation (CEC), 1291-1298, 2019 | 4 | 2019 |
| Relief impression image detection: Unsupervised extracting objects directly from feature arrangements of deep cnn G Li, J Liu, C Jiang, K Tang arXiv preprint arXiv:1601.06719, 2016 | 4 | 2016 |
| Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks G Li, P Yang, C Qian, R Hong, K Tang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 3 | 2022 |
| Multiobjective evolutionary optimization for hardwareaware neural network pruning W Hong, G Li, S Liu, P Yang, K Tang Fundamental Research, 2022 | 1 | 2022 |
| Relief r-cnn: Utilizing convolutional feature interrelationship for fast object detection deployment G Li, J Liu, C Jiang, L Zhang, K Tang, Z Zhu arXiv preprint arXiv:1601.06719, 2016 | 1 | 2016 |
| Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding L Tang, X Li, J Zhang, G Li, P Yang, K Tang Bio-Inspired Computing: Theories and Applications: 17th International …, 2023 | | 2023 |
| Method, system, server, and storage medium for logistics management based on QR code G Li, P Yang, K Tang, X Yao US Patent 11,631,261, 2023 | | 2023 |
| Dynamic and Adaptive Threshold for DNN Compression from Scratch C Jiang, G Li, C Qian Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | | 2017 |
| A trajectory-based approach for object detection from video C Jiang, G Li, J Liu, Y Liu, K Tang 2016 International Joint Conference on Neural Networks (IJCNN), 2887-2893, 2016 | | 2016 |
| Relief R-CNN: Utilizing Convolutional Feature Interrelationship for Object Detection G Li, J Liu, C Jiang, L Zhang, K Tang, Y Liu | | |
Ke TangProfessor, Southern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
