Unsupervised Image Noise Modeling with Self-Consistent GAN. - Hanshu Yan; Vincent Y. F. Tan; Wenhan Yang; Jiashi Feng (CoRR, 2019)

On Robustness of Neural Ordinary Differential Equations. - Hanshu Yan; Jiawei Du; Vincent Y. F. Tan; Jiashi Feng (ICLR, 2020)

PANDA: Prototypical Unsupervised Domain Adaptation. - Dapeng Hu; Jian Liang 001; Qibin Hou; Hanshu Yan; Yunpeng Chen; Shuicheng Yan; Jiashi Feng (CoRR, 2020)

RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. - Jiawei Du; Hanshu Yan; Joey Tianyi Zhou; Rick Siow Mong Goh; Jiashi Feng (CoRR, 2020)

CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. - Hanshu Yan; Jingfeng Zhang; Gang Niu 001; Jiashi Feng; Vincent Y. F. Tan; Masashi Sugiyama (ICML, 2021)

Modeling Trajectories with Neural Ordinary Differential Equations. - Yuxuan Liang; Kun Ouyang; Hanshu Yan; Yiwei Wang 001; Zekun Tong; Roger Zimmermann (IJCAI, 2021)

Recovering the Unbiased Scene Graphs from the Biased Ones. - Meng-Jiun Chiou; Henghui Ding; Hanshu Yan; Changhu Wang; Roger Zimmermann; Jiashi Feng (ACM Multimedia, 2021)

Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. - Pan Zhou 002; Hanshu Yan; Xiaotong Yuan; Jiashi Feng; Shuicheng Yan (NeurIPS, 2021)

Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning. - Haiyun He; Hanshu Yan; Vincent Y. F. Tan (CoRR, 2021)

Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. - Dapeng Hu; Jian Liang 001; Qibin Hou; Hanshu Yan; Yunpeng Chen (IEEE Trans. Image Process., 2021)

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 (ICLR, 2022)

Towards Adversarially Robust Deep Image Denoising. - Hanshu Yan; Jingfeng Zhang; Jiashi Feng; Masashi Sugiyama; Vincent Y. F. Tan (IJCAI, 2022)

MagicMix: Semantic Mixing with Diffusion Models. - Jun Hao Liew; Hanshu Yan; Daquan Zhou; Jiashi Feng (CoRR, 2022)

Towards Adversarial Robustness of Deep Vision Algorithms. - Hanshu Yan (CoRR, 2022)

MagicVideo: Efficient Video Generation With Latent Diffusion Models. - Daquan Zhou; Weimin Wang; Hanshu Yan; Weiwei Lv; Yizhe Zhu; Jiashi Feng (CoRR, 2022)

Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning. - Haiyun He; Hanshu Yan; Vincent Y. F. Tan (J. Mach. Learn. Res., 2022)

Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. - Xiang Lan 004; Hanshu Yan; Shenda Hong; Mengling Feng (CoRR, 2023)

MagicAvatar: Multimodal Avatar Generation and Animation. - Jianfeng Zhang; Hanshu Yan; Zhongcong Xu; Jiashi Feng; Jun Hao Liew (CoRR, 2023)

MagicEdit: High-Fidelity and Temporally Coherent Video Editing. - Jun Hao Liew; Hanshu Yan; Jianfeng Zhang; Zhongcong Xu; Jiashi Feng (CoRR, 2023)

MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. - Hanshu Yan; Jun Hao Liew; Long Mai; Shanchuan Lin; Jiashi Feng (CoRR, 2023)

Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. - Jiachun Pan; Hanshu Yan; Jun Hao Liew; Jiashi Feng; Vincent Y. F. Tan (CoRR, 2023)

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 001 (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 (CVPR, 2024)

Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. - Xiang Lan 004; Hanshu Yan; Shenda Hong; Mengling Feng (ICLR, 2024)

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. - Jiachun Pan; Jun Hao Liew; Vincent Y. F. Tan; Jiashi Feng; Hanshu Yan (ICLR, 2024)

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. - Hanshu Yan; Xingchao Liu; Jiachun Pan; Jun Hao Liew; Qiang Liu 001; Jiashi Feng (NeurIPS, 2024)

MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. - Weimin Wang; Jiawei Liu; Zhijie Lin 001; Jiangqiao Yan; Shuo Chen; Chetwin Low; Tuyen Hoang; Jie Wu 032; Jun Hao Liew; Hanshu Yan; Daquan Zhou; Jiashi Feng (CoRR, 2024)

InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. - Yujun Shi; Jun Hao Liew; Hanshu Yan; Vincent Y. F. Tan; Jiashi Feng (CoRR, 2024)

ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. - Jiannan Huang 002; Jun Hao Liew; Hanshu Yan; Yuyang Yin; Yao Zhao 001; Yunchao Wei (CoRR, 2024)

Accelerating Video Diffusion Models via Distribution Matching. - Yuanzhi Zhu; Hanshu Yan; Huan Yang; Kai Zhang; Junnan Li (CoRR, 2024)

OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs. - Yuanzhi Zhu; Ruiqing Wang; Shilin Lu; Junnan Li; Hanshu Yan; Kai Zhang (CoRR, 2024)

Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. - Ting Zhou; Hanshu Yan; Bo Han 003; Lei Liu 003; Jingfeng Zhang (Neural Networks, 2024)

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 (CVPR, 2025)

ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. - Jiannan Huang 002; Jun Hao Liew; Hanshu Yan; Yuyang Yin; Yao Zhao 001; Humphrey Shi; Yunchao Wei (ICLR, 2025)