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StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encoding


Nov 11, 2022
Jinshan Zeng, Yefei Wang, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao

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Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training


Sep 22, 2022
Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

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* 8 pages, ICCD 2022 

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ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization


Aug 30, 2022
Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

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* 20 pages, accepted by MICRO 2022 

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Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd Counting


Jun 11, 2022
Yunxin Liu, Qiaosi Yi, Jinshan Zeng

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SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation


Feb 14, 2022
Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

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* 18 pages, 2 figures, ICLR 2022 

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Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients


Jan 05, 2022
Jaemin Shin, Yuanchun Li, Yunxin Liu, Sung-Ju Lee

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Boosting Mobile CNN Inference through Semantic Memory


Dec 05, 2021
Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu

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* 13 pages, 13 figures 

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DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing


Nov 22, 2021
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee

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Rethinking the Representational Continuity: Towards Unsupervised Continual Learning


Oct 15, 2021
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang

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ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection


Jun 11, 2021
Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu

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* ISSTA 2021 

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