Chao Du
Chao Du
Senior Research Scientist, Sea AI Lab
Verified email at - Homepage
Cited by
Cited by
Improving adversarial robustness via promoting ensemble diversity
T Pang, K Xu, C Du, N Chen, J Zhu
International Conference on Machine Learning, 4970-4979, 2019
Composite quantization for approximate nearest neighbor search
T Zhang, C Du, J Wang
International Conference on Machine Learning, 838-846, 2014
Towards robust detection of adversarial examples
T Pang, C Du, Y Dong, J Zhu
Advances in neural information processing systems 31, 2018
Rethinking softmax cross-entropy loss for adversarial robustness
T Pang, K Xu, Y Dong, C Du, N Chen, J Zhu
arXiv preprint arXiv:1905.10626, 2019
Better diffusion models further improve adversarial training
Z Wang, T Pang, C Du, M Lin, W Liu, S Yan
arXiv preprint arXiv:2302.04638, 2023
Max-mahalanobis linear discriminant analysis networks
T Pang, C Du, J Zhu
International Conference on Machine Learning, 4016-4025, 2018
Collaborative filtering with user-item co-autoregressive models
C Du, C Li, Y Zheng, J Zhu, B Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
A recipe for watermarking diffusion models
Y Zhao, T Pang, C Du, X Yang, NM Cheung, M Lin
arXiv preprint arXiv:2303.10137, 2023
On evaluating adversarial robustness of large vision-language models
Y Zhao, T Pang, C Du, X Yang, C Li, NMM Cheung, M Lin
Advances in Neural Information Processing Systems 36, 2024
Robust deep learning via reverse cross-entropy training and thresholding test
T Pang, C Du, J Zhu
arXiv preprint arXiv:1706.00633 3, 2017
Lorahub: Efficient cross-task generalization via dynamic lora composition
C Huang, Q Liu, BY Lin, T Pang, C Du, M Lin
arXiv preprint arXiv:2307.13269, 2023
Learning deep generative models with doubly stochastic gradient MCMC
C Du, J Zhu, B Zhang
IEEE transactions on neural networks and learning systems 29 (7), 3084-3096, 2017
Inner product similarity search using compositional codes
C Du, J Wang
arXiv preprint arXiv:1406.4966, 2014
To relieve your headache of training an mrf, take advil
C Li, C Du, K Xu, M Welling, J Zhu, B Zhang
arXiv preprint arXiv:1901.08400, 2019
Exploration in online advertising systems with deep uncertainty-aware learning
C Du, Z Gao, S Yuan, L Gao, Z Li, Y Zeng, X Zhu, J Xu, K Gai, KC Lee
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Learning implicit generative models by teaching explicit ones
C Du, K Xu, C Li, J Zhu, B Zhang
arXiv preprint arXiv:1807.03870, 2018
Bag of tricks for training data extraction from language models
W Yu, T Pang, Q Liu, C Du, B Kang, Y Huang, M Lin, S Yan
arXiv preprint arXiv:2302.04460, 2023
Does Federated Learning Really Need Backpropagation?
H Feng, T Pang, C Du, W Chen, S Yan, M Lin
arXiv preprint arXiv:2301.12195, 2023
Exploring incompatible knowledge transfer in few-shot image generation
Y Zhao, C Du, M Abdollahzadeh, T Pang, M Lin, S Yan, NM Cheung
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Efficient diffusion policies for offline reinforcement learning
B Kang, X Ma, C Du, T Pang, S Yan
Advances in Neural Information Processing Systems 36, 2024
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