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Delving into Effective Gradient Matching for Dataset Condensation


Jul 30, 2022
Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan

* 12 pages 

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RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL


Jul 13, 2022
Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Pan, Song Han, Nan Sun


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Homography Loss for Monocular 3D Object Detection


Apr 02, 2022
Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua

* 8 pages, 5 figures. Accepted to CVPR 2022 

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CVFNet: Real-time 3D Object Detection by Learning Cross View Features


Mar 13, 2022
Jiaqi Gu, Zhiyu Xiang, Pan Zhao, Tingming Bai, Lingxuan Wang, Zhiyuan Zhang

* 7 pages, 5 figures 

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On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks


Feb 26, 2022
Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han

* Published as a conference paper in DAC 2022; 7 pages, 8 figures; open-source at https://github.com/mit-han-lab/torchquantum 

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ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement


Dec 15, 2021
Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan

* 7 pages, 8 figures, accepted by ASPDAC 2022 

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Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation


Nov 23, 2021
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan

* 8 pages 

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Silicon photonic subspace neural chip for hardware-efficient deep learning


Nov 11, 2021
Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen

* 17 pages,3 figures 

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HRViT: Multi-Scale High-Resolution Vision Transformer


Nov 01, 2021
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan

* 8 pages 

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L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization


Oct 27, 2021
Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan

* 10 pages. Accepted to NeurIPS 2021 

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