| On robustness of neural ordinary differential equations H Yan, J Du, VYF Tan, J Feng International Conference on Learning Representations (ICLR 2020), 2019 | 69 | 2019 |
| Recovering the Unbiased Scene Graphs from the Biased Ones MJ Chiou, H Ding, H Yan, C Wang, R Zimmermann, J Feng ACM Multimedia 2021, 2021 | 21 | 2021 |
| Panda: Prototypical unsupervised domain adaptation D Hu, J Liang, Q Hou, H Yan, Y Chen, S Yan, J Feng | 11 | 2020 |
| CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection H Yan, J Zhang, G Niu, J Feng, VYF Tan, M Sugiyama International Conference on Machine Learning (ICML 2021), 2021 | 10 | 2021 |
| Unsupervised image noise modeling with self-consistent gan H Yan, X Chen, VYF Tan, W Yang, J Wu, J Feng arXiv preprint arXiv:1906.05762, 2019 | 10 | 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 arXiv preprint arXiv:2110.03141, 2021 | 6 | 2021 |
| Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner D Hu, J Liang, Q Hou, H Yan, Y Chen IEEE Transactions on Image Processing 30, 9359-9371, 2021 | 5 | 2021 |
| Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond P Zhou, H Yan, X Yuan, J Feng, S Yan Advances in Neural Information Processing Systems 34, 27290-27304, 2021 | 3 | 2021 |
| Deep Learning-Guided Fiberoptic Raman Spectroscopy Enables Real-Time In Vivo Diagnosis and Assessment of Nasopharyngeal Carcinoma and Post-treatment … C Shu, H Yan, W Zheng, K Lin, A James, S Selvarajan, CM Lim, Z Huang Analytical chemistry 93 (31), 10898-10906, 2021 | 3 | 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 | 2 | 2020 |
| Information-theoretic generalization bounds for iterative semi-supervised learning H He, H Yan, VYF Tan arXiv preprint arXiv:2110.00926, 2021 | 1 | 2021 |
| Semantic Domain Adversarial Networks for Unsupervised Domain Adaptation D Hu, J Liang, Q Hou, H Yan, Y Chen, S Yan, J Feng arXiv preprint arXiv:2003.13274, 2020 | 1 | 2020 |
| Towards Adversarially Robust Deep Image Denoising H Yan, J Zhang, J Feng, M Sugiyama, VYF Tan IJCAI 2022, 2022 | | 2022 |
| Modeling Trajectories with Neural Ordinary Differential Equations Y Liang, K Ouyang, H Yan, Y Wang, Z Tong, R Zimmermann International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021 | | 2021 |
| Deep learning-based fiberoptic Raman spectroscopy improves in vivo diagnosis of nasopharyngeal carcinoma at endoscopy (Conference Presentation) C Shu, H Yan, K Lin, CM Lim, W Zheng, J Feng, Z Huang Biomedical Vibrational Spectroscopy 2020: Advances in Research and Industry …, 2020 | | 2020 |
| Enhancing in vivo nose cancer detection with rapid fiberoptic Raman and deep learning techniques (Conference Presentation) C Shu, H Yan, K Lin, CM Lim, W Zheng, J Feng, Z Huang Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis …, 2020 | | 2020 |
| PROTOTYPE-ASSISTED ADVERSARIAL LEARNING FOR UNSUPERVISED DOMAIN ADAPTATION D Hu, J Liang, Q Hou, H Yan, J Feng | | 2019 |
| Interpreting Deep Classification Models With Bayesian Inference H Yan, J Feng | | 2018 |
Jiashi FengByteDance Inc.Verified email at bytedance.com
