| 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 | 340 | 2019 |
| On robustness of neural ordinary differential equations H Yan*, J Du*, VYF Tan, J Feng International Conference on Learning Representations (ICLR 2020), 2020 | 184 | 2020 |
| 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 | 146 | 2022 |
| 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 | 146 | 2019 |
| Minimizing the accumulated trajectory error to improve dataset distillation J Du, Y Jiang, VTF Tan, JT Zhou, H Li CVPR2023 (preprint version), 2023 | 100 | 2023 |
| 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 | 97 | 2020 |
| 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 | 96 | 2022 |
| 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 | 72 | 2018 |
| 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 | 49 | 2021 |
| Sequential Subset Matching for Dataset Distillation J Du, Q Shi, JT Zhou Advances in Neural Information Processing Systems, 36 （NeurIPS 2023), 2023 | 27 | 2023 |
| Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning X Zhang*, J Du*, Y Li, W Xie, JT Zhou CVPR2024, 2024 | 8 | 2024 |
| 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 |
| 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 |
| VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis J Liu, T Hu, H Xiong, J Du, Y Feng, J Wu, J Zhou, Z Liu Findings of the Association for Computational Linguistics: EMNLP 2024, 9978-9992, 2024 | 1 | 2024 |
| Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment J Du, X Zhang, J Hu, W Huang, JT Zhou Advances in Neural Information Processing Systems, 37 （NeurIPS 2024, Spotlight), 2024 | 1 | 2024 |
| Breaking class barriers: Efficient dataset distillation via inter-class feature compensator X Zhang, J Du, P Liu, JT Zhou International Conference on Learning Representations (ICLR 2025), 2024 | 1 | 2024 |
| Towards Better Unguided Depth Completion via Cross-Modality Knowledge Distillation in the Frequency Domain M Liu, B Chen, Y Chen, J Xie, L Yao, Y Zhang, Q Hu, J Du, JT Zhou IEEE Transactions on Intelligent Vehicles, 2024 | 1 | 2024 |
| Dd-robustbench: An adversarial robustness benchmark for dataset distillation Y Wu, J Du, P Liu, Y Lin, W Xu, W Cheng arXiv preprint arXiv:2403.13322, 2024 | 1 | 2024 |
| KPL: Training-Free Medical Knowledge Mining of Vision-Language Models J Liu, T Hu, J Du, R Zhang, JT Zhou, Z Liu Association for the Advancement of Artificial Intelligence (AAAI 2025) oral, 2025 | | 2025 |
Joey Tianyi ZhouA*STAR and NUSZweryfikowany adres z cfar.a-star.edu.sg
