| VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning J Chen, H Guo, K Yi, B Li, M Elhoseiny IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 228 | 2022 |
| Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning G Malinovsky, K Yi, P Richtárik Neural Information Processing Systems (NeurIPS), 2022, 2022 | 31 | 2022 |
| Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network K Yi, Z Jian, S Chen, N Zheng Technical Report, 2018 | 22* | 2018 |
| EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization L Condat, K Yi, P Richtárik Neural Information Processing Systems (NeurIPS), 2022, 2022 | 20 | 2022 |
| Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification K Yi, X Shen, Y Gou, M Elhoseiny European Conference on Computer Vision (ECCV), 2022, 2022 | 19 | 2022 |
| Continual Zero-shot Learning through Semantically Guided Generative Random Walks W Zhang, P Janson, K Yi, I Skorokhodov, M Elhoseiny International Conference on Computer Vision (ICCV), 2023, 2023 | 8* | 2023 |
| FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity K Yi, N Gazagnadou, P Richtárik, L Lyu The Twelfth International Conference on Learning Representations (ICLR24), 2024 | 7 | 2024 |
| CIZSL++: Creativity Inspired Generative Zero-Shot Learning M Elhoseiny, K Yi, M Elfeki IEEE Transactions on Pattern Analysis and Machine Intelligence - Major Revision, 2022 | 6 | 2022 |
| PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression V Malinovskii, D Mazur, I Ilin, D Kuznedelev, K Burlachenko, K Yi, ... Neural Information Processing Systems (NeurIPS), Oral, 2024, 2024 | 5 | 2024 |
| Explicit personalization and local training: Double communication acceleration in federated learning K Yi, L Condat, P Richtárik arXiv preprint arXiv:2305.13170, 2023 | 4 | 2023 |
| Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms D Jha, K Yi, I Skorokhodov, M Elhoseiny International Conference on Computational Creativity (ICCC), 2022, 2022 | 4 | 2022 |
| Language-Guided Imaginative Walks: Generative Random Walk Deviation Loss for Unseen Class Recognition using Text K Yi, D Jha, I Skorokhodov, M Elhoseiny CVPR 2022, L3D-IVU Workshop, 2022 | 4* | 2022 |
| FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models K Yi, G Meinhardt, L Condat, P Richtárik arXiv preprint arXiv:2403.09904, 2024 | 3 | 2024 |
| Domain-Aware Continual Zero-Shot Learning K Yi, M Elhoseiny ICCV Workshop OOD-CV, 2023, 2023 | 3 | 2023 |
| Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography Y Zeng, G Howe, K Yi, X Zeng, J Zhang, YW Chang, M Xu 2021 IEEE International Conference on Image Processing (ICIP), 106-110, 2021 | 2 | 2021 |
| Affine LBG For Codebook Training of Univariate Linear Representation T Dong, J Wang, M Yang, K Yi, N Zheng 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 2 | 2018 |
| Cognition-Based Deep Learning: Progresses and Perspectives K Yi, S Chen, Y Chen, C Xia, N Zheng Artificial Intelligence Applications and Innovations: 14th IFIP WG 12.5 …, 2018 | 2 | 2018 |
| Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning K Yi, T Kharisov, I Sokolov, P Richtárik arXiv reprint arXiv:2406.01115, 2024 | 1 | 2024 |
| Disentangling Semantic Features of Macromolecules in Cryo-Electron Tomography K Yi, J Pang, Y Zhang, X Zeng, M Xu Technical Report, 2021 | 1 | 2021 |
| Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning G Meinhardt, K Yi, L Condat, P Richtárik arXiv preprint arXiv:2405.20623, 2024 | | 2024 |
Mohamed Elhoseiny, Ph.D.Associate Professor, KAUST (hiring postdocs & grad students)Email verificata su kaust.edu.sa