Du Jiawei
Du Jiawei
NUS >> Centre for Frontier AI Research (CFAR) A*STAR
Verified email at
Cited by
Cited by
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
On robustness of neural ordinary differential equations
H Yan*, J Du*, VYF Tan, J Feng
International Conference on Learning Representations (ICLR 2020), 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
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
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
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
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
Minimizing the accumulated trajectory error to improve dataset distillation
J Du, Y Jiang, VTF Tan, JT Zhou, H Li
CVPR2023 (preprint version), 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
Sequential Subset Matching for Dataset Distillation
J Du, Q Shi, JT Zhou
Advances in Neural Information Processing Systems, 36 (NeurIPS 2023), 2023
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
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
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
X Zhang*, J Du*, Y Li, W Xie, JT Zhou
CVPR2024, 2024
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
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
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
Improved Gradient-Based Learning for Enhanced Efficiency and generalization of Deep Neural Networks
The system can't perform the operation now. Try again later.
Articles 1–17