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Self-paced Resistance Learning against Overfitting on Noisy Labels


May 07, 2021
Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu


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HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation


May 04, 2021
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang


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A Dual-Critic Reinforcement Learning Framework for Frame-level Bit Allocation in HEVC/H.265


Apr 05, 2021
Yung-Han Ho, Guo-Lun Jin, Yun Liang, Wen-Hsiao Peng, Xiaobo Li


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Systolic Computing on GPUs for Productive Performance


Oct 29, 2020
Hongbo Rong, Xiaochen Hao, Yun Liang, Lidong Xu, Hong H Jiang, Pradeep Dubey


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REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs


Sep 29, 2019
Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang


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A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM


Nov 05, 2018
Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Jiaming Xie, Yun Liang, Sijia Liu, Xue Lin, Yanzhi Wang


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Efficient Recurrent Neural Networks using Structured Matrices in FPGAs


Mar 22, 2018
Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang

* To appear in International Conference on Learning Representations 2018 Workshop Track 

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C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs


Mar 14, 2018
Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Yanzhi Wang, Qinru Qiu, Yun Liang

* Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays 

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CuMF_SGD: Fast and Scalable Matrix Factorization


Nov 10, 2016
Xiaolong Xie, Wei Tan, Liana L. Fong, Yun Liang


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Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing


Sep 09, 2016
Meihua Wang, Jiaming Mai, Yun Liang, Tom Z. J. Fu, Zhenjie Zhang, Ruichu Cai


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Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation


Aug 09, 2016
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen

* To appear in ICPR 2016 

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