| Understanding architectures learnt by cell-based neural architecture search Y Shu, W Wang, S Cai Proceedings of the 8th International Conference on Learning Representations …, 2020 | 106 | 2020 |
| Effective and efficient dropout for deep convolutional neural networks S Cai, Y Shu, G Chen, BC Ooi, W Wang, M Zhang arXiv preprint arXiv:1904.03392, 2019 | 84 | 2019 |
| Efficient memory management for gpu-based deep learning systems J Zhang, SH Yeung, Y Shu, B He, W Wang arXiv preprint arXiv:1903.06631, 2019 | 50 | 2019 |
| DAVINZ: Data Valuation using Deep Neural Networks at Initialization Z Wu, Y Shu, BKH Low Proceedings of the 39th International Conference on Machine Learning (ICML-22), 2022 | 47 | 2022 |
| NASI: Label- and Data-agnostic Neural Architecture Search at Initialization Y Shu, S Cai, Z Dai, BC Ooi, BKH Low Proceedings of the 10th International Conference on Learning Representations …, 2022 | 44 | 2022 |
| Dynamic routing networks S Cai, Y Shu, W Wang Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 44 | 2021 |
| Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search Y Shu, Z Dai, Z Wu, BKH Low Proceedings of the 36th Conference on Neural Information Processing Systems …, 2022 | 27 | 2022 |
| Federated Neural Bandit Z Dai, Y Shu, A Verma, FX Fan, BKH Low, P Jaillet Proceedings of the 11th International Conference on Learning Representations …, 2022 | 22 | 2022 |
| Sample-Then-Optimize Batch Neural Thompson Sampling Z Dai, Y Shu, BKH Low, P Jaillet Proceedings of the 36th Conference on Neural Information Processing Systems …, 2022 | 17 | 2022 |
| Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers X Lin, Z Wu, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low Proceedings of the 41st International Conference on Machine Learning (ICML-24), 2024 | 12 | 2024 |
| Neural Ensemble Search via Bayesian Sampling Y Shu, Y CHEN, Z Dai, BKH Low Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence …, 2022 | 12* | 2022 |
| Zeroth-order optimization with trajectory-informed derivative estimation Y Shu, Z Dai, W Sng, A Verma, P Jaillet, BKH Low Proceedings of the 11th International Conference on Learning Representations …, 2022 | 7 | 2022 |
| Randomness in Deconvolutional Networks for Visual Representation K He, J Wang, H Li, Y Shu, M Zhang, M Zhu, L Wang, JE Hopcroft arXiv preprint arXiv:1704.00330, 2017 | 7* | 2017 |
| Quantum Bayesian Optimization Z Dai, GKR Lau, A Verma, Y Shu, BKH Low, P Jaillet Proceedings of the 37th Conference on Neural Information Processing Systems …, 2023 | 6 | 2023 |
| Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients Y Shu, X Lin, Z Dai, BKH Low Differentiable Almost Everything Workshop @ ICML 2024, 2024 | 4 | 2024 |
| Localized zeroth-order prompt optimization W Hu, Y Shu, Z Yu, Z Wu, X Lin, Z Dai, SK Ng, BKH Low In-Context Learning Workshop @ ICML 2024, 2024 | 2 | 2024 |
| Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars Z Wu, X Lin, Z Dai, W Hu, Y Shu, SK Ng, P Jaillet, BKH Low In-Context Learning Workshop @ ICML 2024, 2024 | 1 | 2024 |
| Data valuation in federated learning Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ... Federated Learning, 281-296, 2024 | 1 | 2024 |
| Data-Centric AI in the Age of Large Language Models X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ... arXiv preprint arXiv:2406.14473, 2024 | | 2024 |
| OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations Y Shu, J Fang, YT He, FR Yu arXiv preprint arXiv:2402.11427, 2024 | | 2024 |
Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
