Hanshu Yan - RankMe

46 papers A* 15Journal 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MFSR: MeanFlow Distillation for One Step Real-World Image Super Resolution. CoRR Ruiqing Wang, Kai Zhang, Yuanzhi Zhu, Hanshu Yan, Shilin Lu, Jian Yang
2025	A*	`conf`	ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. ICLR Jiannan Huang, Jun Hao Liew, Hanshu Yan, YuYang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei
2025	A*	`conf`	DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CVPR Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang
2025	A*	`conf`	LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. ICML Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng
2025	J	`jnl`	Moirai 2.0: When Less Is More for Time Series Forecasting. CoRR Chenghao Liu, Taha Aksu, Juncheng Liu, Xu Liu, Hanshu Yan, Quang Pham, Silvio Savarese, Doyen Sahoo, Caiming Xiong, Junnan Li
2024	J	`jnl`	Accelerating Video Diffusion Models via Distribution Matching. CoRR Yuanzhi Zhu, Hanshu Yan, Huan Yang, Kai Zhang, Junnan Li
2024	A*	`conf`	AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. ICLR Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
2024	J	`jnl`	ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance. CoRR Jiannan Huang, Jun Hao Liew, Hanshu Yan, YuYang Yin, Yao Zhao, Yunchao Wei
2024	J	`jnl`	DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention. CoRR Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang
2024	A*	`conf`	DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing. CVPR Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai
2024	J	`jnl`	InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos. CoRR Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng
2024	J	`jnl`	Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. Neural Networks Ting Zhou, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang
2024	A*	`conf`	MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CVPR Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
2024	J	`jnl`	MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation. CoRR 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
2024	J	`jnl`	OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs. CoRR Yuanzhi Zhu, Ruiqing Wang, Shilin Lu, Junnan Li, Hanshu Yan, Kai Zhang
2024	A*	`conf`	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. NeurIPS Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
2024	J	`jnl`	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator. CoRR Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
2024	A*	`conf`	Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
2023	J	`jnl`	AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models. CoRR Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan
2023	J	`jnl`	MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model. CoRR Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou
2023	J	`jnl`	MagicAvatar: Multimodal Avatar Generation and Animation. CoRR Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew
2023	J	`jnl`	MagicEdit: High-Fidelity and Temporally Coherent Video Editing. CoRR Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng
2023	J	`jnl`	MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation. CoRR Hanshu Yan, Jun Hao Liew, Long Mai, Shanchuan Lin, Jiashi Feng
2023	J	`jnl`	Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method. CoRR Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan
2023	J	`jnl`	Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
2022	A*	`conf`	Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
2022	J	`jnl`	Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning. J. Mach. Learn. Res. Haiyun He, Hanshu Yan, Vincent Y. F. Tan
2022	J	`jnl`	MagicMix: Semantic Mixing with Diffusion Models. CoRR Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng
2022	J	`jnl`	MagicVideo: Efficient Video Generation With Latent Diffusion Models. CoRR Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng
2022	J	`jnl`	Towards Adversarial Robustness of Deep Vision Algorithms. CoRR Hanshu Yan
2022	A*	`conf`	Towards Adversarially Robust Deep Image Denoising. IJCAI Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
2022	J	`jnl`	Towards Adversarially Robust Deep Image Denoising. CoRR Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
2021	J	`jnl`	Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner. IEEE Trans. Image Process. Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen
2021	A*	`conf`	CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. ICML Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama
2021	J	`jnl`	CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. CoRR Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama
2021	J	`jnl`	Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
2021	J	`jnl`	Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning. CoRR Haiyun He, Hanshu Yan, Vincent Y. F. Tan
2021	A*	`conf`	Modeling Trajectories with Neural Ordinary Differential Equations. IJCAI Yuxuan Liang, Kun Ouyang, Hanshu Yan, Yiwei Wang, Zekun Tong, Roger Zimmermann
2021	A*	`conf`	Recovering the Unbiased Scene Graphs from the Biased Ones. ACM Multimedia Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng
2021	J	`jnl`	Recovering the Unbiased Scene Graphs from the Biased Ones. CoRR Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng
2021	A*	`conf`	Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan
2020	A*	`conf`	On Robustness of Neural Ordinary Differential Equations. ICLR Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng
2020	J	`jnl`	PANDA: Prototypical Unsupervised Domain Adaptation. CoRR Dapeng Hu, Jian Liang, Qibin Hou, Hanshu Yan, Yunpeng Chen, Shuicheng Yan, Jiashi Feng
2020	J	`jnl`	RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement. CoRR Jiawei Du, Hanshu Yan, Joey Tianyi Zhou, Rick Siow Mong Goh, Jiashi Feng
2019	J	`jnl`	On Robustness of Neural Ordinary Differential Equations. CoRR Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng
2019	J	`jnl`	Unsupervised Image Noise Modeling with Self-Consistent GAN. CoRR Hanshu Yan, Vincent Y. F. Tan, Wenhan Yang, Jiashi Feng