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Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers


May 01, 2022
Yuhang Li, Yi Luo, Bijie Bai, Aydogan Ozcan

* 42 Pages, 9 Figures 

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When Sparsity Meets Dynamic Convolution


Apr 05, 2022
Shwai He, Yuhang Li, Chenbo Jiang, Shi Gu


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Addressing Client Drift in Federated Continual Learning with Adaptive Optimization


Mar 24, 2022
Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park, Yuhang Li, Priyadarshini Panda


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Neuromorphic Data Augmentation for Training Spiking Neural Networks


Mar 11, 2022
Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda


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QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization


Mar 11, 2022
Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu


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Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting


Feb 24, 2022
Shikuang Deng, Yuhang Li, Shanghang Zhang, Shi Gu

* Published as a conference paper at ICLR 2022 

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Neural Architecture Search for Spiking Neural Networks


Jan 23, 2022
Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda


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MQBench: Towards Reproducible and Deployable Model Quantization Benchmark


Nov 05, 2021
Yuhang Li, Mingzhu Shen, Jian Ma, Yan Ren, Mingxin Zhao, Qi Zhang, Ruihao Gong, Fengwei Yu, Junjie Yan

* Accepted by 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks 

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Real World Robustness from Systematic Noise


Sep 02, 2021
Yan Wang, Yuhang Li, Ruihao Gong


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Design of a Flying Humanoid Robot Based on Thrust Vector Control


Aug 26, 2021
Yuhang Li, Yuhao Zhou, Junbin Huang, Zijun Wang, Shunjie Zhu, Kairong Wu, Li Zheng, Jiajin Luo, Rui Cao, Yun Zhang, Zhifeng Huang

* The article has been submitted to IEEE Robotics and Automation Letters (RA-L) with ICRA 2022 conference option. Supporting video: https://youtu.be/Z5xm8um8Sv8&ab_channel=JetPowerandHumanoidRobotLab 

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A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration


Jun 13, 2021
Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu


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Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method


Jun 12, 2021
Yupeng Jia, Haiyong Luo, Fang Zhao, Guanlin Jiang, Yuhang Li, Jiaquan Yan, Zhuqing Jiang


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Diversifying Sample Generation for Accurate Data-Free Quantization


Mar 04, 2021
Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu


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BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction


Feb 10, 2021
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu


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Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization


Nov 19, 2020
Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Fengwei Yu, Shaoqing Lu, Shi Gu


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DeepFacePencil: Creating Face Images from Freehand Sketches


Aug 31, 2020
Yuhang Li, Xuejin Chen, Binxin Yang, Zihan Chen, Zhihua Cheng, Zheng-Jun Zha

* ACM MM 2020 (oral) 

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Efficient Bitwidth Search for Practical Mixed Precision Neural Network


Mar 17, 2020
Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu

* 21 pages, 7 figures 

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RTN: Reparameterized Ternary Network


Dec 12, 2019
Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang

* To appear at AAAI-20 

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LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network


Oct 20, 2019
Yuhang Li, Xuejin Chen, Feng Wu, Zheng-Jun Zha


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Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks


Sep 28, 2019
Yuhang Li, Xin Dong, Wei Wang

* quantization, efficient neural network 

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