| Anomalynet: An anomaly detection network for video surveillance JT Zhou, J Du, H Zhu, X Peng, Y Liu, RSM Goh IEEE Transactions on Information Forensics and Security 14 (10), 2537-2550, 2019 | 282 | 2019 |
| On robustness of neural ordinary differential equations H Yan*, J Du*, VYF Tan, J Feng International Conference on Learning Representations (ICLR 2020), 2020 | 152 | 2020 |
| Attention-driven loss for anomaly detection in video surveillance JT Zhou, L Zhang, Z Fang, J Du, X Peng, Y Xiao IEEE transactions on circuits and systems for video technology 30 (12), 4639 …, 2019 | 115 | 2019 |
| Efficient Sharpness-aware Minimization for Improved Training of Neural Networks J Du, H Yan, J Feng, JT Zhou, L Zhen, RSM Goh, VYF Tan International Conference on Learning Representations (ICLR 2022), 2022 | 96 | 2022 |
| Query-efficient meta attack to deep neural networks J Du*, H Zhang*, JT Zhou, Y Yang, J Feng International Conference on Learning Representations (ICLR 2020), 2020 | 82 | 2020 |
| Sc2net: Sparse lstms for sparse coding JT Zhou, K Di, J Du, X Peng, H Yang, SJ Pan, I Tsang, Y Liu, Z Qin, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 65 | 2018 |
| Sharpness-aware training for free J Du, D Zhou, J Feng, VYF Tan, JT Zhou Advances in Neural Information Processing Systems, 35 （NeurIPS 2022), 2022 | 62 | 2022 |
| Minimizing the accumulated trajectory error to improve dataset distillation J Du, Y Jiang, VTF Tan, JT Zhou, H Li CVPR2023 (preprint version), 2023 | 47 | 2023 |
| Locality-aware crowd counting JT Zhou, L Zhang, J Du, X Peng, Z Fang, Z Xiao, H Zhu IEEE transactions on pattern analysis and machine intelligence 44 (7), 3602-3613, 2021 | 40 | 2021 |
| Rain: A simple approach for robust and accurate image classification networks J Du, H Yan, VYF Tan, JT Zhou, RSM Goh, J Feng arXiv preprint arXiv:2004.14798, 2020 | 4 | 2020 |
| ModStore: An instructional HPC-based platform for national science experiment big data challenge W Zhang, Y Liu, L Wang, J Zhou, J Du, RSM Goh 2017 International Conference on Cloud Computing Research and Innovation …, 2017 | 4 | 2017 |
| Sequential Subset Matching for Dataset Distillation J Du, Q Shi, JT Zhou Advances in Neural Information Processing Systems, 36 （NeurIPS 2023), 2023 | 2 | 2023 |
| Memory-assistant collaborative language understanding for artificial intelligence of things M Yan, C Chen, J Du, X Peng, JT Zhou, Z Zeng IEEE Transactions on Industrial Informatics 18 (5), 3349-3357, 2021 | 2 | 2021 |
| DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Y Wu, J Du, P Liu, Y Lin, W Cheng, W Xu arXiv preprint arXiv:2403.13322, 2024 | 1 | 2024 |
| Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning X Zhang*, J Du*, Y Li, W Xie, JT Zhou CVPR2024, 2024 | | 2024 |
| Improved Gradient-Based Learning for Enhanced Efficiency and generalization of Deep Neural Networks DU JIAWEI | | 2023 |
Joey Tianyi Zhou (周天異)Investigator(Principal Scientist), A*STAR CFARVerified email at cfar.a-star.edu.sg
