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ORCIDHanshu Yan
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Journal Articles
- 2024
[j3]Ting Zhou
, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang:
Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. Neural Networks 169: 756-763 (2024)- 2022
- [j2]Haiyun He, Hanshu Yan, Vincent Y. F. Tan:
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning. J. Mach. Learn. Res. 23: 287:1-287:52 (2022) - 2021
- [j1]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen:
Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. 30: 9359-9371 (2021)
Conference and Workshop Papers
- 2024
- [c12]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou:
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CVPR 2024: 1481-1490 - [c11]Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai:
DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing. CVPR 2024: 8839-8849 - [c10]Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng:
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR 2024 - [c9]Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan:
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. ICLR 2024 - [c8]Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng:
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. NeurIPS 2024 - 2022
- [c7]Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan:
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR 2022 - [c6]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. IJCAI 2022: 1516-1522 - 2021
- [c5]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. ICML 2021: 11693-11703 - [c4]Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann:
Modeling Trajectories with Neural Ordinary Differential Equations. IJCAI 2021: 1498-1504 - [c3]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. ACM Multimedia 2021: 1581-1590 - [c2]Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan:
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS 2021: 27290-27304 - 2020
- [c1]Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng:
On Robustness of Neural Ordinary Differential Equations. ICLR 2020
Informal and Other Publications
- 2024
- [i26]Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng:
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. CoRR abs/2401.04468 (2024) - [i25]Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng:
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR abs/2405.07510 (2024) - [i24]Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng:
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. CoRR abs/2405.13722 (2024) - [i23]Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Yunchao Wei:
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. CoRR abs/2405.17532 (2024) - [i22]Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang:
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CoRR abs/2405.18428 (2024) - [i21]Yuanzhi Zhu, Hanshu Yan, Huan Yang, Kai Zhang, Junnan Li:
Accelerating Video Diffusion Models via Distribution Matching. CoRR abs/2412.05899 (2024) - [i20]Yuanzhi Zhu, Ruiqing Wang, Shilin Lu, Junnan Li, Hanshu Yan, Kai Zhang:
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs. CoRR abs/2412.09465 (2024) - 2023
- [i19]Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng:
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR abs/2302.03357 (2023) - [i18]Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan:
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. CoRR abs/2307.10711 (2023) - [i17]Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew:
MagicAvatar: Multimodal Avatar Generation and Animation. CoRR abs/2308.14748 (2023) - [i16]Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng:
MagicEdit: High-Fidelity and Temporally Coherent Video Editing. CoRR abs/2308.14749 (2023) - [i15]Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng:
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. CoRR abs/2309.00908 (2023) - [i14]Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou:
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CoRR abs/2311.16498 (2023) - [i13]Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan:
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR abs/2312.12030 (2023) - 2022
- [i12]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. CoRR abs/2201.04397 (2022) - [i11]Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng:
MagicMix: Semantic Mixing with Diffusion Models. CoRR abs/2210.16056 (2022) - [i10]Hanshu Yan:
Towards Adversarial Robustness of Deep Vision Algorithms. CoRR abs/2211.10670 (2022) - [i9]Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng:
MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR abs/2211.11018 (2022) - 2021
- [i8]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. CoRR abs/2102.05311 (2021) - [i7]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. CoRR abs/2107.02112 (2021) - [i6]Haiyun He, Hanshu Yan, Vincent Y. F. Tan:
Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning. CoRR abs/2110.00926 (2021) - [i5]Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan:
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR abs/2110.03141 (2021) - 2020
- [i4]Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng:
PANDA: Prototypical Unsupervised Domain Adaptation. CoRR abs/2003.13274 (2020) - [i3]Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng:
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. CoRR abs/2004.14798 (2020) - 2019
- [i2]Hanshu Yan, Vincent Y. F. Tan, Wenhan Yang, Jiashi Feng:
Unsupervised Image Noise Modeling with Self-Consistent GAN. CoRR abs/1906.05762 (2019) - [i1]Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng:
On Robustness of Neural Ordinary Differential Equations. CoRR abs/1910.05513 (2019)
Coauthor Index
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