Fine-Grained Sleep Transistor Sizing Algorithm for Leakage Power Minimization. - De-Shiuan Chiou; Da-Cheng Juan; Yu-Ting Chen 002; Shih-Chieh Chang (DAC, 2007)

An efficient wake-up schedule during power mode transition considering spurious glitches phenomenon. - Yu-Ting Chen 002; Da-Cheng Juan; Ming-Chao Lee; Shih-Chieh Chang (ICCAD, 2007)

An efficient wakeup scheduling considering resource constraint for sensor-based power gating designs. - Ming-Chao Lee; Yu-Ting Chen 002; Yo-Tzu Cheng; Shih-Chieh Chang (ICCAD, 2009)

Sleep Transistor Sizing for Leakage Power Minimization Considering Temporal Correlation. - De-Shiuan Chiou; Yu-Ting Chen 002; Da-Cheng Juan; Shih-Chieh Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

An Efficient Wake-Up Strategy Considering Spurious Glitches Phenomenon for Power Gating Designs. - Da-Cheng Juan; Yu-Ting Chen 002; Ming-Chao Lee; Shih-Chieh Chang (IEEE Trans. Very Large Scale Integr. Syst., 2010)

Anticipating Accidents in Dashcam Videos. - Fu-Hsiang Chan; Yu-Ting Chen 002; Yu Xiang; Min Sun 001 (ACCV (4), 2016)

DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters. - You-Luen Lee; Da-Cheng Juan; Xuan-An Tseng; Yu-Ting Chen 002; Shih-Chieh Chang (ECML/PKDD (3), 2017)

Leveraging Motion Priors in Videos for Improving Human Segmentation. - Yu-Ting Chen 002; Wen-Yen Chang; Hai-Lun Lu; Tingfan Wu; Min Sun 001 (ECCV (7), 2018)

Searching toward pareto-optimal device-aware neural architectures. - An-Chieh Cheng; Jin-Dong Dong; Chi-Hung Hsu; Shu-Huan Chang; Min Sun 001; Shih-Chieh Chang; Jia-Yu Pan; Yu-Ting Chen 002; Wei Wei 019; Da-Cheng Juan (ICCAD, 2018)

MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning. - Chi-Hung Hsu; Shu-Huan Chang; Da-Cheng Juan; Jia-Yu Pan; Yu-Ting Chen 002; Wei Wei 019; Shih-Chieh Chang (CoRR, 2018)

Improving Adversarial Robustness via Guided Complement Entropy. - Hao-Yun Chen; Jhao-Hong Liang; Shih-Chieh Chang; Jia-Yu Pan; Yu-Ting Chen 002; Wei Wei 019; Da-Cheng Juan (ICCV, 2019)

Complement Objective Training. - Hao-Yun Chen; Pei-Hsin Wang; Chun-Hao Liu; Shih-Chieh Chang; Jia-Yu Pan; Yu-Ting Chen 002; Wei Wei 019; Da-Cheng Juan (ICLR (Poster), 2019)

Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins. - Chun-Hao Liu; Da-Cheng Juan; Xuan-An Tseng; Wei Wei 019; Yu-Ting Chen 002; Jia-Yu Pan; Shih-Chieh Chang (PAKDD (2), 2019)

Learning with Hierarchical Complement Objective. - Hao-Yun Chen; Li-Huang Tsai; Shih-Chieh Chang; Jia-Yu Pan; Yu-Ting Chen 002; Wei Wei 019; Da-Cheng Juan (CoRR, 2019)

Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks. - Li-Huang Tsai; Shih-Chieh Chang; Yu-Ting Chen 002; Jia-Yu Pan; Wei Wei 019; Da-Cheng Juan (CoRR, 2020)

Contextual Temperature for Language Modeling. - Pei-Hsin Wang; Sheng-Iou Hsieh; Shih-Chieh Chang; Yu-Ting Chen 002; Jia-Yu Pan; Wei Wei 019; Da-Chang Juan (CoRR, 2020)