Hanshu Yan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
4
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | 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 |
| 2025 | ICLR | ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. | Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei |
| 2025 | ICML | LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. | Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | ICLR | Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. | Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng |
| 2024 | ICLR | AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. | Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan |
| 2022 | ICLR | 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 Y. F. Tan |
| 2022 | IJCAI | Towards Adversarially Robust Deep Image Denoising. | Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan |
| 2021 | ICML | CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. | Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama |
| 2021 | IJCAI | Modeling Trajectories with Neural Ordinary Differential Equations. | Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann |
| 2020 | ICLR | On Robustness of Neural Ordinary Differential Equations. | Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng |