| Zero-shot restoration of back-lit images using deep internal learning L Zhang, L Zhang, X Liu, Y Shen, S Zhang, S Zhao Proceedings of the 27th ACM international conference on multimedia, 1623-1631, 2019 | 110 | 2019 |
| GAN-based image super-resolution with a novel quality loss X Zhu, L Zhang, L Zhang, X Liu, Y Shen, S Zhao Mathematical Problems in Engineering 2020, 1-12, 2020 | 59 | 2020 |
| Illumination quality assessment for face images: A benchmark and a convolutional neural networks based model L Zhang, L Zhang, L Li Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 30 | 2017 |
| Automtl: A programming framework for automating efficient multi-task learning L Zhang, X Liu, H Guan Advances in Neural Information Processing Systems 35, 34216-34228, 2022 | 16 | 2022 |
| Rethinking hard-parameter sharing in multi-domain learning L Zhang, Q Yang, X Liu, H Guan 2022 IEEE International Conference on Multimedia and Expo (ICME), 01-06, 2022 | 13 | 2022 |
| A tree-structured multi-task model recommender L Zhang, X Liu, H Guan International Conference on Automated Machine Learning, 10/1-12, 2022 | 8 | 2022 |
| Generative adversarial network-based image super-resolution with a novel quality loss X Zhu, L Zhang, L Zhang, X Liu, Y Shen, S Zhao 2019 International Symposium on Intelligent Signal Processing and …, 2019 | 6 | 2019 |
| SID-NISM: A self-supervised low-light image enhancement framework L Zhang, X Liu, E Learned-Miller, H Guan arXiv preprint arXiv:2012.08707, 2020 | 5 | 2020 |
| Reuse-centric k-means configuration L Zhang, H Guan, Y Ding, X Shen, H Krim Information Systems 100, 101787, 2021 | 3 | 2021 |
| Automtl: A programming framework for automated multi-task learning L Zhang, X Liu, H Guan arXiv preprint arXiv:2110.13076, 2021 | 3 | 2021 |
| Image exposure assessment: a benchmark and a deep convolutional neural networks based model L Zhang, L Zhang, X Liu, Y Shen, D Wang 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 3 | 2018 |
| Robust Image Watermarking using Stable Diffusion L Zhang, X Liu, AV Martin, CX Bearfield, Y Brun, H Guan arXiv preprint arXiv:2401.04247, 2024 | 2 | 2024 |
| Flow: Per-instance Personalized Federated Learning K Panchal, S Choudhary, N Parikh, L Zhang, H Guan Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Structured pruning for multi-task deep neural networks S Garg, L Zhang, H Guan arXiv preprint arXiv:2304.06840, 2023 | 1 | 2023 |
| Recurrent neural networks meet context-free grammar: Two birds with one stone H Guan, U Chaudhary, Y Xu, L Ning, L Zhang, X Shen 2021 IEEE International Conference on Data Mining (ICDM), 1078-1083, 2021 | 1 | 2021 |
| Towards automatic image exposure level assessment L Zhang, X Yang, L Zhang, X Liu, S Zhao, Y Ma Mathematical Problems in Engineering 2020, 1-14, 2020 | 1 | 2020 |
| GMorph: Accelerating Multi-DNN Inference via Model Fusion Q Yang, T Yang, M Xiang, L Zhang, H Wang, M Serafini, H Guan Proceedings of the Nineteenth European Conference on Computer Systems, 505-523, 2024 | | 2024 |
| A Tree-Structured Multitask Model Architectures Recommendation System L Zhang, X Liu, H Guan IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
| Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models L Zhang, X Liu, K Mahmood, C Ding, H Guan arXiv preprint arXiv:2305.12066, 2023 | | 2023 |
| An Alternative Hard-Parameter Sharing Paradigm for Multi-Domain Learning L Zhang, Q Yang, X Liu, H Guan IEEE Access 11, 10440-10452, 2023 | | 2023 |
Xiao LiuCICS, University of Massachusetts, Amherst在 umass.edu 的电子邮件经过验证
