Qi Han
Qi Han (韩琦)
Step AI, Researcher
I'm in StepAI. Befor that, I worked in foundation model group of MEGVII leaded by Xiangyu Zhang. I got my MS degree in the College of Computer Science, Nankai University (NKU) in 2022, supervised by Prof. Ming-Ming Cheng, and received the BS degree from the College of Computer Science and Technology, Xidian University(XDU) in 2019. I work as an intern at MSRA (2021) supervised by Jingdong Wang.
Experiences
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StepAI Research 2023.04 - Now
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Researcher, MEGVII Research 2022.07 - 2023.4
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Intern, Microsoft Research Asia 2021.2 - 2021.9
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MS, Computer Science, Nankai University 2019 - 2022
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BS, Computer Science, Xidian University 2015 - 2019
News
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2023.8 I serve as a reviewer for CVPR, NeurIPS, ICLR.
2023.8 One paper was accepted by NeurIPS 2023.
2023.1 One paper was accepted by ICLR 2023.
2022.12 Our new foundation model "Reversible Column Networks" gives a new way to learn disentangled representations.
2022.11 I serve as a reviewer for CVPR 2023.
2022.7 I serve as a reviewer for TNNLS and IJCV.
2022.6 One paper was accepted by IEEE TPAMI 2022.
2022.5 I serve as a reviewer for PRCV 2022.
2022.1 One paper was accepted by ICLR 2022 as a Spotlight.
2021.6 I serve as a reviewer for PRCV 2021 and IJCAI 2022.
2021.6 One paper was accepted by IEEE TIP 2021.
2021.4 One paper was accepted by IEEE PAMI 2021.
2021.3 Two paper were accepted by CVPR 2021. (one oral, one poster)
2021.2 One paper was accepted by TIP.
2021.1 I join as an intern.
2020.10 I serve as a reviewer for CVPR2021 and IJCAI2021.
2020.7 One paper was accepted by ECCV 2020.
2019.9 I join the Media Computing Lab under the supervision of Prof. Ming-Ming Cheng.
2018.7 I join Huawei as an intern.
Publications
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# means equal contribution / joint first authors.
Qi Han, Yuxuan Cai, Xiangyu Zhang: RevColV2: Exploring Disentangled Representations in Masked Image Modeling
Conference on Neural Information Processing Systems. (NeurIPS) 2023
2023.8
Yuxuan Cai, Yizhuang Zhou, Qi Han, Jianjian Sun, Xiangwen Kong, Jun Li, Xiangyu Zhang: Reversible Column Networks
The International Conference on Learning Representations. (ICLR) 2023
2022.12
Shang-Hua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang: RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence, (IEEE TPAMI).
2022.6
Qi Han#, Zejia Fan#, Qi Dai, Lei Sun, Ming-Ming Cheng, Jiaying Liu, Jingdong Wang: On the Connection between Local Attention and Dynamic Depth-wise Convolution.
The International Conference on Learning Representations. (ICLR) 2022, Spotlight
2022.3
Chang-Bin Zhang#, Peng-Tao Jiang#, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng: Delving Deep into Label Smoothing.
IEEE Transactions on Image Processing, (IEEE TIP).
2021.6
Kai Zhao#, Qi Han#, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng: Deep Hough Transform for Semantic Line Detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence, (IEEE TPAMI).
[Project] [Pdf] [Online Demo] [Code] [Dataset]2021.4
Shang-Hua Gao#, Qi Han#, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng: Global2Local: Efficient Structure Search for Video Action Segmentation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR) 2021. [Pdf]
2021.3
Shang-Hua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng: Representative Batch Normalization with Feature Calibration.
IEEE/CVF Conference on Computer Vision and Pattern Recognition, (CVPR) 2021 oral. [Pdf]
2021.3
Wen-Da Jin#, Jun Xu#, Qi Han, Yi Zhang, Ming-Ming Cheng: CDNet: Complementary Depth Network for RGB-D Salient Object Detection.
IEEE Transactions on Image Processing, (IEEE TIP).
2021.2
Qi Han#, Kai Zhao#, Jun Xu, Ming-Ming Cheng: Deep Hough Transform for Semantic Line Detection.
European Conference on Computer Vision, (ECCV) 2020.
[Project] [Pdf] [Online Demo] [Code] [Dataset]2020.7
Kai Zhao#, Xin-yu Zhang#, Qi Han#, Ming-Ming Cheng: Dependency Aware Filter Pruning.
https://arxiv.org/abs/2005.026342020.5
Honors
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2022.6 Outstanding graduates in NKU.
2021.10 NKU Scholarship.
2021.10 Microsoft Star of Tomorrow.
2020.12 SK Scholarship.
2020.10 NKU Scholarship.
2019.6 Outstanding graduates in XDU.
2018.9 National Scholarship.
2018.2 Meritorious Winner of Interdisciplinary Contest In Modeling.
2018.5 Bronze Medal of International Collegiate Programming Contest (ICPC) National Invitational Contest Xi'an Station.
2018.5 Second Prize of ShanXi Province Collegiate Programming Contest.
2017.5 Silver Medal of Group Programming Ladder Tournament.
2016 and 2017 First-Class Scholarship of XDU.
2016, 2017 and 2018 Outstanding Student in XDU.
Collaborators
Kai Zhao, Shang-Hua Gao, Zhao Zhang, Chang-Bin Zhang
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