| A novel perspective to zero-shot learning: Towards an alignment of manifold structures via semantic feature expansion J Guo, S Guo IEEE Transactions on Multimedia 23, 524-537, 2020 | 84 | 2020 |
| Decomposed soft prompt guided fusion enhancing for compositional zero-shot learning X Lu, S Guo, Z Liu, J Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 77 | 2023 |
| Graph knows unknowns: Reformulate zero-shot learning as sample-level graph recognition J Guo, S Guo, Q Zhou, Z Liu, X Lu, F Huo Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7775-7783, 2023 | 68 | 2023 |
| On-device learning systems for edge intelligence: A software and hardware synergy perspective Q Zhou, Z Qu, S Guo, B Luo, J Guo, Z Xu, R Akerkar IEEE Internet of Things Journal 8 (15), 11916-11934, 2021 | 60 | 2021 |
| Conservative novelty synthesizing network for malware recognition in an open-set scenario J Guo, S Guo, S Ma, Y Sun, Y Xu IEEE Transactions on Neural Networks and Learning Systems 34 (2), 662-676, 2021 | 53 | 2021 |
| Octo:{INT8} training with loss-aware compensation and backward quantization for tiny on-device learning Q Zhou, S Guo, Z Qu, J Guo, Z Xu, J Zhang, T Guo, B Luo, J Zhou 2021 USENIX Annual Technical Conference (USENIX ATC 21), 177-191, 2021 | 49 | 2021 |
| Dual-view attention networks for single image super-resolution J Guo, S Ma, J Zhang, Q Zhou, S Guo Proceedings of the 28th ACM International Conference on Multimedia, 2728-2736, 2020 | 48 | 2020 |
| Adaptive adjustment with semantic feature space for zero-shot recognition J Guo, S Guo ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 46 | 2019 |
| An improved incremental training approach for large scaled dataset based on support vector machine J Guo Proceedings of the 3rd IEEE/ACM International Conference on Big Data …, 2016 | 45 | 2016 |
| Towards data-independent knowledge transfer in model-heterogeneous federated learning J Zhang, S Guo, J Guo, D Zeng, J Zhou, AY Zomaya IEEE Transactions on Computers 72 (10), 2888-2901, 2023 | 42 | 2023 |
| Multimodal dual-embedding networks for malware open-set recognition J Guo, H Wang, Y Xu, W Xu, Y Zhan, Y Sun, S Guo IEEE Transactions on Neural Networks and Learning Systems, 2024 | 38 | 2024 |
| Personalized federated learning with contextualized generalization X Tang, S Guo, J Guo International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 37 | 2022 |
| Everything is all it takes: A multipronged strategy for zero-shot cross-lingual information extraction M Yarmohammadi, S Wu, M Marone, H Xu, S Ebner, G Qin, Y Chen, ... arXiv preprint arXiv:2109.06798, 2021 | 37 | 2021 |
| TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning M Li, J Guo, RY Da Xu, D Wang, X Cao, S Guo arXiv preprint arXiv:2408.08703, 2024 | 24 | 2024 |
| Towards unbiased multi-label zero-shot learning with pyramid and semantic attention Z Liu, S Guo, J Guo, Y Xu, F Huo IEEE Transactions on Multimedia 25, 7441-7455, 2022 | 22 | 2022 |
| Drpt: Disentangled and recurrent prompt tuning for compositional zero-shot learning X Lu, Z Liu, S Guo, J Guo, F Huo, S Bai, T Han arXiv preprint arXiv:2305.01239, 2023 | 20 | 2023 |
| AMS-SFE: Towards an alignment of manifold structures via semantic feature expansion for zero-shot learning J Guo, S Guo 2019 IEEE International Conference on Multimedia and Expo (ICME), 73-78, 2019 | 19 | 2019 |
| Srcd: Semantic reasoning with compound domains for single-domain generalized object detection Z Rao, J Guo, L Tang, Y Huang, X Ding, S Guo IEEE Transactions on Neural Networks and Learning Systems, 2024 | 18 | 2024 |
| Towards performance-maximizing neural network pruning via global channel attention Y Wang, S Guo, J Guo, J Zhang, W Zhang, C Yan, Y Zhang Neural Networks 171, 104-113, 2024 | 18 | 2024 |
| Mdenet: multi-modal dual-embedding networks for malware open-set recognition J Guo, Y Xu, W Xu, Y Zhan, Y Sun, S Guo arXiv preprint arXiv:2305.01245, 2023 | 17 | 2023 |
Song GuoFCAE, FIEEE, Hong Kong University of Science and TechnologyEmail verificata su cse.ust.hk