Takip et
Du Jiawei
Du Jiawei
NUS >> Centre for Frontier AI Research (CFAR) A*STAR
u.nus.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
3442019
On robustness of neural ordinary differential equations
H Yan*, J Du*, VYF Tan, J Feng
International Conference on Learning Representations (ICLR 2020), 2020
1832020
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
1552022
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
1522019
Minimizing the accumulated trajectory error to improve dataset distillation
J Du, Y Jiang, VTF Tan, JT Zhou, H Li
CVPR2023 (preprint version), 2023
1122023
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
1062022
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
982020
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
722018
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
472021
Sequential Subset Matching for Dataset Distillation
J Du, Q Shi, JT Zhou
Advances in Neural Information Processing Systems, 36 （NeurIPS 2023), 2023
322023
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
X Zhang*, J Du*, Y Li, W Xie, JT Zhou
CVPR2024, 2024
112024
MedCoT: Medical Chain of Thought via Hierarchical Expert
J Liu, Y Wang, J Du, JT Zhou, Z Liu
Proceedings of the 2024 Conference on EMNLP (oral) 2024 17371–17389, 2024
52024
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
42024
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
42020
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
42017
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
32024
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
32024
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
32024
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
22025
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
22021
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Makaleler 1–20