Publicaties

• 2024

  Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training

  Xi Chen / Chang Gao / Zuowen Wang / Longbiao Cheng / Sheng Zhou / Shih Chii Liu / Tobi Delbruck

• 2024

  HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators

  Siyue Li / Shize Zhou / Yongqi Xue / Wenjie Fan / Tong Cheng / Jinlun Ji / Chenyang Dai / Wenqing Song / Chang Gao / More Authors

• 2024

  MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers

  Yizhou Wu / Ang Li / Mohammad Beikmirza / Gagan Deep Singh / Leo C.N. de Vreede / Morteza Alavi / Chang Gao / Qinyu Chen

• 2023

  3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network

  Qinyu Chen / Zuowen Wang / Shih Chii Liu / Chang Gao

• 2023

  An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting

  Qinyu Chen / Yaoxing Chang / Kwantae Kim / Chang Gao / Shih Chii Liu

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