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Publication search results
found 96 matches
- 2023
- Jia Zhang, Yu-Ting Huang, Tzu-Chien Liu, Yao-Ting Sung, Kuo-En Chang:
Augmented reality worksheets in field trip learning. Interact. Learn. Environ. 31(1): 4-21 (2023) - Alina Shutova, Egor I. Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banic, Radu Timofte, Richard Collins, Maria Efimova, Arseniy P. Terekhin, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Chunxia Lei, Tingniao Wang, Song Wang, Shuai Liu, Chaoyu Feng, Guangqi Shao, Hao Wang, Xiaotao Wang, Lei Lei, Lu Xu, Chao Zhang, Yasi Wang, Jin Guo, Yangfan Sun, Tianli Liu, Hao Dejun, Furkan Kinli, Baris Özcan, Furkan Kiraç, Hyerin Chung, Nakyung Lee, Sungkeun Kwak, Marcos V. Conde, Tim Seizinger, Florin-Alexandru Vasluianu, Omar Elezabi, Chia-Hsuan Hsieh, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, I-Hsiang Chen, Yi-Chung Chen, Yuan-Chun Chiang:
NTIRE 2023 Challenge on Night Photography Rendering. CVPR Workshops 2023: 1982-1993 - Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE 2023: 1-6 - Chien-Chun Yang, Su-Ling Yeh, Sung-En Chien, Tsung-Ren Huang, Yu-Ling Chang, Joshua Oon Soo Goh, Yi-Chuan Chen, Li-Chen Fu:
The Effect of Face-to-Face Interaction on Older Adults' Attitudes Toward Robots in Human-Computer Interaction. HCI (44) 2023: 547-554 - Sung-En Hsieh, Chun-Hao Wei, Cheng-Xin Xue, Hung-Wei Lin, Wei-Hsuan Tu, En-Jui Chang, Kai-Taing Yang, Po-Heng Chen, Wei-Nan Liao, Li Lian Low, Chia-Da Lee, Allen-Cl Lu, Jenwei Liang, Chih-Chung Cheng, Tzung-Hung Kang:
A 70.85-86.27TOPS/W PVT-Insensitive 8b Word-Wise ACIM with Post-Processing Relaxation. ISSCC 2023: 136-137 - 2022
- Yu-Hsiang Chiang, Cheng-En Ni, Yun Sung, Tuo-Hung Hou, Tian-Sheuan Chang, Shyh-Jye Jou:
Hardware-Robust In-RRAM-Computing for Object Detection. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(2): 547-556 (2022) - Chang-En Du, Ching-Sung Liu:
Newton-Noda Iteration for Computing the Ground States of Nonlinear Schrödinger Equations. SIAM J. Sci. Comput. 44(4): 2370- (2022) - Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding:
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) 2022: 190-200 - Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC 2022: 1396-1397 - Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang:
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) 2022: 34-51 - Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang:
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. FPGA 2022: 134-145 - Jung-En Haung, Hou-Chiang Tseng, Li-Yun Chang, Hsueh-Chih Chen, Yao-Ting Sung:
The Design and Development of a System for Chinese Character Difficulty and Features. ROCLING 2022: 256-262 - Chi Liu, Shao-Tzu Li, Tong-Lin Pan, Cheng-En Ni, Yun Sung, Chia-Lin Hu, Kang-Yu Chang, Tuo-Hung Hou, Tian-Sheuan Chang, Shyh-Jye Jou:
An 1-bit by 1-bit High Parallelism In-RRAM Macro with Co-Training Mechanism for DCNN Applications. VLSI-DAT 2022: 1-4 - Yu-Hsiang Chiang, Cheng-En Ni, Yun Sung, Tuo-Hung Hou, Tian-Sheuan Chang, Shyh-Jye Jou:
Hardware-Robust In-RRAM-Computing for Object Detection. CoRR abs/2205.03996 (2022) - 2021
- Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA 2021: 208-220 - Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV 2021: 5231-5240 - Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding:
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. CoRR abs/2110.08190 (2021) - Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR abs/2111.00153 (2021) - Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin:
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. CoRR abs/2111.00155 (2021) - 2020
- Chia-Ning Liao, Kuo-En Chang, Yu-Ching Huang, Yao-Ting Sung:
Electronic storybook design, kindergartners' visual attention, and print awareness: An eye-tracking investigation. Comput. Educ. 144 (2020) - Kuo-En Chang, Jia Zhang, Yang-Sheng Huang, Tzu-Chien Liu, Yao-Ting Sung:
Applying augmented reality in physical education on motor skills learning. Interact. Learn. Environ. 28(6): 685-697 (2020) - Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang:
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR abs/2009.07460 (2020) - Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR abs/2012.04240 (2020) - 2019
- Chin-Chung Chen, Ching-Kai Lin, Chen-Wei Chang, Yun-Chien Cheng, Jia-En Chen, Sung-Lin Tsai, Tien-Kan Chung:
Passive Magnetic-Flux-Concentrator Based Electromagnetic Targeting System for Endobronchoscopy. Sensors 19(23): 5105 (2019) - Hou-Chiang Tseng, Hsueh-Chih Chen, Kuo-En Chang, Yao-Ting Sung, Berlin Chen:
An Innovative BERT-Based Readability Model. ICITL 2019: 301-308 - 2018
- Chia-Ning Liao, Yu-Ching Huang, Yao-Ting Sung, Kuo-En Chang, Hsueh Chin Chen, Tzu-Chien Liu, Yen-Hua Chang, Wen-Chung Kao, Chin-Chung Tsai, Ming-Da Wu:
Electronic Story Book Display Method and Kindergartener Reading Behavior: An Eye-Tracking Investigation. HCI (24) 2018: 147-156 - Ian En-Hsu Yen, Wei-Cheng Lee, Kai Zhong, Sung-En Chang, Pradeep Ravikumar, Shou-De Lin:
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization. NeurIPS 2018: 10891-10899 - Sung-En Chang, Xun Zheng, Ian En-Hsu Yen, Pradeep Ravikumar, Rose Yu:
Learning Tensor Latent Features. CoRR abs/1810.04754 (2018) - Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.:
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR abs/1811.02629 (2018) - 2017
- Wei-Sung Chang, Dai-En Jhou, Yu-Hong Yang, Tai-Cheng Lee:
An energy-efficient self-charged crystal oscillator with a quadrature-phase shifter technique. A-SSCC 2017: 53-56
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