This is Yucheng Han’s homepage.

I have graduated from Tsinghua University. Now I am going to be a Ph.D. student at Nanyang Technological University advised by Professor Hanwang zhang.

I mainly focus on computer vision. I can be contacted using email yucheng002@e.ntu.edu.sg.

Publication and manuscript

	Prompt-aligned Gradient for Prompt Tuning Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang Advised by Professor Hanwang Zhang
	Fast AdvProp Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan Yuille, Cihang Xie Accepted by International Conference on Learning Representations 2022 (ICLR 2022) Advised by Professor Cihang Xie and Professor Alan Yuille
	Robust Process Identification from Step Response Data and Parallel Implementation Yucheng Han, Qingyuan Liu, Chao Shang, Member, IEEE, and Dexian Huang Accepted by The 3rd International Conference on Industrial Artificial Intelligence (IAI 2021) Advised by Professor Chao Shang and Professor Dexian Huang
	Hierarchical Graph with Relation Reduction for Video Summarization Wencheng Zhu, Yucheng Han, Jiwen Lu, Senior Member, IEEE, and Jie Zhou, Senior Member, IEEE Submitted to IEEE Transactions on Image Processing (TIP) Advised by Professor Jiwen Lu
	Learning Multiscale Hierarchical Attention for Video Summarization Wencheng Zhu, Jiwen Lu, Senior Member, IEEE, Yucheng Han, and Jie Zhou, Senior Member, IEEE Submitted to Pattern Recognition (PR) Advised by Professor Jiwen Lu

Previous Research experiences

Undergraduate Thesis in Department of Automation

Robust Process Identification from Step Response Data and Parallel Implementation
Advised by Professor Chao Shang and Professor Dexian Huang

• In this paper, we propose an improved robust process identification approach from step response data based on Huber loss, which is less sensitive to outliers than generic MSE, and leads to a higher successful rate.
• We show that this solution procedure can be parallelized, which leads to significant computation savings with graphical processing units used, and thus better conforms to requirement in practical situations.
• The corresponding paper is accepted by International Conference on Industrial Artificial Intelligence (IAI 2021).

CCVL Lab

Fast AdvProp
Advised by Professor Cihang Xie and Professor Alan Yuille.

• AdvProp reimplemented using PyTorch is open source.
• Accepted by ICLR 2022.

i-VisonGroup

I have finished two projects in i-VisionGroup and gotten two corresponding papers.

Hierarchical Graph with Relation Reduction for Video Summarization
Advised by Professor Jiwen Lu

• Designed a new video summarization method to extract the spatial-temporal representations by building a
  hierarchical graph and applying graph convolution and our proposed pooling module.
• Exceeded previous state-of-the-art method by 2.1% on SumMe dataset and 1.6% on TVSum dataset.

Learning Multiscale Hierarchical Attention for Video Summarization
Advised by Professor Jiwen Lu

• Designed a hierarchical attention model for video summarization extracting the multiscale features.
• Benchmarked the proposed attention model on the task of video summarization (as well as a variant of the
  attention model that was combined with optical flow) and improved the performance on SumMe and TVSum by
  1.4% (1.7%) and 0.4% (0.9%), respectively.