Yan, Hanshu

16 publications

ICLR 2025 ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei
CVPR 2025 DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang
ICML 2025 LightningDrag: Lightning Fast and Accurate Drag-Based Image Editing Emerging from Videos Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Tan, Jiashi Feng
ICLR 2024 AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan
CVPR 2024 DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
CVPR 2024 MagicAnimate: Temporally Consistent Human Image Animation Using Diffusion Model Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
NeurIPS 2024 PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
ICLR 2024 Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
ICLR 2022 Efficient Sharpness-Aware Minimization for Improved Training of Neural Networks Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Tan
JMLR 2022 Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning Haiyun He, Hanshu Yan, Vincent Y. F. Tan
NeurIPSW 2022 Pre-Training Robust Feature Extractor Against Clean-Label Data Poisoning Attacks Ting Zhou, Hanshu Yan, Lei Liu, Jingfeng Zhang, Bo Han
IJCAI 2022 Towards Adversarially Robust Deep Image Denoising Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
ICML 2021 CIFS: Improving Adversarial Robustness of CNNs via Channel-Wise Importance-Based Feature Selection Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Tan, Masashi Sugiyama
IJCAI 2021 Modeling Trajectories with Neural Ordinary Differential Equations Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
NeurIPS 2021 Towards Understanding Why Lookahead Generalizes Better than SGD and Beyond Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
ICLR 2020 On Robustness of Neural Ordinary Differential Equations Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng