| End-to-End Image Classification and Compression with variational autoencoders LD Chamain, S Qi, Z Ding IEEE Internet of Things Journal 9 (21), 21916-21931, 2022 | 17 | 2022 |
| Enhanced artificial neural networks for salinity estimation and forecasting in the sacramento-san joaquin delta of california S Qi, Z Bai, Z Ding, N Jayasundara, M He, P Sandhu, S Seneviratne, ... Journal of Water Resources Planning and Management 147 (10), 04021069, 2021 | 7 | 2021 |
| Multi-location emulation of a process-based salinity model using machine learning S Qi, M He, Z Bai, Z Ding, P Sandhu, Y Zhou, P Namadi, B Tom, R Hoang, ... Water 14 (13), 2030, 2022 | 6 | 2022 |
| Machine learning-based automatic graphene detection with color correction for optical microscope images HY Siao, S Qi, Z Ding, CY Lin, YC Hsieh, TM Chen arXiv preprint arXiv:2103.13495, 2021 | 4 | 2021 |
| Hierarchical training for distributed deep learning based on multimedia data over band-limited networks S Qi, LD Chamain, Z Ding 2022 IEEE International Conference on Image Processing (ICIP), 2871-2875, 2022 | 3 | 2022 |
| UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data A Wijesinghe, S Zhang, S Qi, Z Ding arXiv preprint arXiv:2308.05870, 2023 | 2 | 2023 |
| Physics-Informed Neural Networks-Based Salinity Modeling in the Sacramento–San Joaquin Delta of California DM Roh, M He, Z Bai, P Sandhu, F Chung, Z Ding, S Qi, Y Zhou, R Hoang, ... Water 15 (13), 2320, 2023 | 2 | 2023 |
| Novel Salinity Modeling Using Deep Learning for the Sacramento–San Joaquin Delta of California S Qi, M He, Z Bai, Z Ding, P Sandhu, F Chung, P Namadi, Y Zhou, ... Water 14 (22), 3628, 2022 | 2 | 2022 |
| Salinity Modeling Using Deep Learning with Data Augmentation and Transfer Learning S Qi, M He, R Hoang, Y Zhou, P Namadi, B Tom, P Sandhu, Z Bai, ... Water 15 (13), 2482, 2023 | 1 | 2023 |
| An End-to-End Learning Architecture for Efficient Image Encoding and Deep Learning LD Chamain, S Qi, Z Ding 2021 29th European Signal Processing Conference (EUSIPCO), 691-695, 2021 | 1 | 2021 |
| A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification S Qi, A Wijesinghe, LD Chamain, Z Ding arXiv preprint arXiv:2310.19675, 2023 | | 2023 |
| End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification S Qi, LD Chamain, Z Ding arXiv preprint arXiv:2308.05840, 2023 | | 2023 |
| Task-Driven Adaptation of Deep Learning Architectures S Qi University of California, Davis, 2023 | | 2023 |
