Hanshu Yan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

Top Topics

Diffusion Model

Temporally Coherent

Ordinary Differential Equations

Top Venues

Publications

Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR (2024)
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 (2024)
Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Yunchao Wei
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. CoRR (2024)
Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR (2023)
Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. CoRR (2023)
Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew
MagicAvatar: Multimodal Avatar Generation and Animation. CoRR (2023)
Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng
MagicEdit: High-Fidelity and Temporally Coherent Video Editing. CoRR (2023)
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 (2023)
Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR (2023)
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 (2023)
Hanshu Yan
Towards Adversarial Robustness of Deep Vision Algorithms. CoRR (2022)
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 (2022)
Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
Towards Adversarially Robust Deep Image Denoising. IJCAI (2022)
Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
Towards Adversarially Robust Deep Image Denoising. CoRR (2022)
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR (2022)
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)
Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
MagicMix: Semantic Mixing with Diffusion Models. CoRR (2022)
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)
Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen
Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. 30 (2021)
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)
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 (2021)
Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
Modeling Trajectories with Neural Ordinary Differential Equations. IJCAI (2021)
Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng
Recovering the Unbiased Scene Graphs from the Biased Ones. CoRR (2021)
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 (2021)
Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS (2021)
Haiyun He, Hanshu Yan, Vincent Y. F. Tan
Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning. CoRR (2021)
Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng
On Robustness of Neural Ordinary Differential Equations. ICLR (2020)
Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng
PANDA: Prototypical Unsupervised Domain Adaptation. CoRR (2020)
Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. CoRR (2020)
Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng
On Robustness of Neural Ordinary Differential Equations. CoRR (2019)
Hanshu Yan, Vincent Y. F. Tan, Wenhan Yang, Jiashi Feng
Unsupervised Image Noise Modeling with Self-Consistent GAN. CoRR (2019)