| DeepPower: Non-intrusive and deep learning-based detection of IoT malware using power side channels F Ding, H Li, F Luo, H Hu, L Cheng, H Xiao, R Ge Proceedings of the 15th ACM Asia conference on computer and communications …, 2020 | 41 | 2020 |
| Predicting the formation of fractionally doped perovskite oxides by a function-confined machine learning method X Zhai, F Ding, Z Zhao, A Santomauro, F Luo, J Tong Communications Materials 3 (1), 42, 2022 | 13 | 2022 |
| Clustering by directly disentangling latent space F Ding, Y Yang, F Luo 2022 IEEE International Conference on Image Processing (ICIP), 341-345, 2022 | 10 | 2022 |
| Dual-level knowledge distillation via knowledge alignment and correlation F Ding, Y Yang, H Hu, V Krovi, F Luo IEEE Transactions on Neural Networks and Learning Systems, 2022 | 6 | 2022 |
| Multi-level distillation of semantic knowledge for pre-training multilingual language model M Li, F Ding, D Zhang, L Cheng, H Hu, F Luo arXiv preprint arXiv:2211.01200, 2022 | 4 | 2022 |
| Unsupervised hierarchical graph representation learning by mutual information maximization F Ding, X Zhang, J Sybrandt, I Safro arXiv preprint arXiv:2003.08420, 2020 | 4 | 2020 |
| Understanding and detecting remote infection on linux-based iot devices H Li, Q Huang, F Ding, H Hu, L Cheng, G Gu, Z Zhao Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 3 | 2022 |
| Multi-level knowledge distillation via knowledge alignment and correlation F Ding, Y Yang, H Hu, V Krovi, F Luo arXiv preprint arXiv:2012.00573, 2020 | 2 | 2020 |
| Clc: Cluster assignment via contrastive representation learning F Ding, D Zhang, Y Yang, V Krovi, F Luo arXiv preprint arXiv:2306.05439, 2023 | 1 | 2023 |
| Machine Learning-Assisted Discovery of High-Performance Perovskite Electrolytes for Intermediate-Temperature Protonic Ceramic Electrochemical Cells X Zhai, X Han, F Ding, M Zou, L Han, R Kitamura, F Luo, J Tong Electrochemical Society Meeting Abstracts 243, 286-286, 2023 | | 2023 |
| Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model L Mingqi, F Ding, D Zhang, L Cheng, H Hu, F Luo Emperical Methods in Natural Language Processing, 2022 | | 2022 |
| Unsupervised Contrastive Representation Learning for Knowledge Distillation and Clustering F Ding | | 2022 |
| Double cycle-consistent generative adversarial network for unsupervised conditional generation F Ding, F Luo, Y Yang arXiv preprint arXiv:1911.05210, 2019 | | 2019 |
