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Books and Theses
- 2020
[b2]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00638-8- 2018
- [b1]Yu-Hsin Chen:
Architecture design for highly flexible and energy-efficient deep neural network accelerators. Massachusetts Institute of Technology, Cambridge, USA, 2018
Journal Articles
- 2024
- [j20]Bo-Hsin Lin, Chuang-Chieh Lin, Chih-Chieh Hung, Chien-Chang Chen, Yu-Hsin Chen:
On the Identifiability of Artificial Financial Time Series. J. Inf. Sci. Eng. 40(3): 567-579 (2024) - [j19]Yu-Hsin Chen
, I-Huan Wu, Sheng D. Chao:
A Mini-Review of the Kinetic Energy Partition Method in Quantum Mechanics. Symmetry 16(3): 290 (2024) - 2023
- [j18]Yu-Hsin Chen, Kuan-Hao Chao, Jin Yung Wong, Chien-Fu Liu, Jun-Yi Leu, Huai-Kuang Tsai:
A feature extraction free approach for protein interactome inference from co-elution data. Briefings Bioinform. 24(4) (2023) - 2022
- [j17]Chiu-Han Hsiao, Tzu-Lung Sun, Ping-Cherng Lin, Tsung-Yu Peng, Yu-Hsin Chen, Chieh-Yun Cheng, Feng-Jung Yang, Shao-Yu Yang, Chih-Horng Wu, Frank Yeong-Sung Lin, Yennun Huang:
A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images. Comput. Methods Programs Biomed. 221: 106861 (2022) - [j16]Lita Yang, Robert M. Radway, Yu-Hsin Chen, Tony F. Wu, Huichu Liu, Elnaz Ansari, Vikas Chandra, Subhasish Mitra, Edith Beigné:
Three-Dimensional Stacked Neural Network Accelerator Architectures for AR/VR Applications. IEEE Micro 42(6): 116-124 (2022) - 2020
- [j15]Yu-Hsin Chen, Min-Cing Chen, Ching-Jui Keng:
Measuring online live streaming of perceived servicescape. Internet Res. 30(3): 737-762 (2020) - [j14]Yu-Hsin Chen, Yung-Fang Chen, Shu-Ming Tseng, Der-Feng Tseng:
Low Complexity User Selection and Power Allocation for Uplink NOMA Beamforming Systems. Wirel. Pers. Commun. 111(3): 1413-1429 (2020) - 2019
- [j13]Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer, Vivienne Sze:
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 292-308 (2019) - [j12]Yu-Hsin Chen, Ching-Jui Keng:
Utilizing the Push-Pull-Mooring-Habit framework to explore users' intention to switch from offline to online real-person English learning platform. Internet Res. 29(1): 167-193 (2019) - 2018
- [j11]Wen-Jing Yan, Yu-Hsin Chen:
Measuring dynamic micro-expressions via feature extraction methods. J. Comput. Sci. 25: 318-326 (2018) - 2017
- [j10]Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze:
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks. IEEE J. Solid State Circuits 52(1): 127-138 (2017) - [j9]Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators. IEEE Micro 37(3): 12-21 (2017) - [j8]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. Proc. IEEE 105(12): 2295-2329 (2017) - 2015
- [j7]Chen Sun, Michael Georgas, Jason Orcutt, Benjamin Moss, Yu-Hsin Chen, Jeffrey Shainline, Mark T. Wade, Karan Mehta, Kareem Nammari, Erman Timurdogan, Daniel L. Miller, Ofer Tehar-Zahav, Zvi Sternberg, Jonathan C. Leu, Johanna Chong, Reha Bafrali, Gurtej Sandhu, Michael Watts, Roy Meade, Milos A. Popovic, Rajeev J. Ram, Vladimir Stojanovic:
A Monolithically-Integrated Chip-to-Chip Optical Link in Bulk CMOS. IEEE J. Solid State Circuits 50(4): 828-844 (2015) - [j6]Chen Sun, Mark T. Wade, Yunsup Lee, Jason S. Orcutt, Luca Alloatti, Michael Georgas, Andrew Waterman, Jeffrey M. Shainline, Rimas Avizienis, Sen Lin, Benjamin Moss, Rajesh Kumar, Fabio Pavanello, Amir H. Atabaki, Henry Cook, Albert J. Ou, Jonathan C. Leu, Yu-Hsin Chen, Krste Asanovic, Rajeev J. Ram, Milos A. Popovic, Vladimir Marko Stojanovic:
Single-chip microprocessor that communicates directly using light. Nat. 528(7581): 534-538 (2015) - [j5]Yu-Hsin Chen, Vivienne Sze:
A Deeply Pipelined CABAC Decoder for HEVC Supporting Level 6.2 High-Tier Applications. IEEE Trans. Circuits Syst. Video Technol. 25(5): 856-868 (2015) - 2014
- [j4]Sujing Wang, Hui-Ling Chen, Wen-Jing Yan, Yu-Hsin Chen, Xiaolan Fu:
Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine. Neural Process. Lett. 39(1): 25-43 (2014) - 2013
- [j3]Fang-Ying Yang, Yu-Hsin Chen, Meng-Jung Tsai:
How University Students Evaluate Online Information about a Socio-scientific Issue and the Relationship with their Epistemic Beliefs. J. Educ. Technol. Soc. 16(3): 385-399 (2013) - 2011
- [j2]Sujing Wang, Chunguang Zhou, Na Zhang, Xu-Jun Peng, Yu-Hsin Chen, Xiaohua Liu:
Face recognition using second-order discriminant tensor subspace analysis. Neurocomputing 74(12-13): 2142-2156 (2011) - [j1]Sujing Wang, Chunguang Zhou, Yu-Hsin Chen, Xu-Jun Peng, Hui-Ling Chen, Gang Wang, Xiaohua Liu:
A novel face recognition method based on sub-pattern and tensor. Neurocomputing 74(17): 3553-3564 (2011)
Conference and Workshop Papers
- 2024
- [c31]Eungkyun Kim, Yu-Hsin Chen, Jimy Encomendero, Debdeep Jena, Huili Grace Xing:
AlN/GaN/AlN HEMTs on Bulk AlN Substrates with High Drain Current Density > 2.8 A/mm and Average Breakdown Field > 2 MV/cm. DRC 2024: 1-2 - [c30]Yu-Hsin Chen, Bing-You Wu, Li Cho:
Enhancing Automotive Safety: Weather-Adaptive Intelligent Headlights with Adjustable Color Temperature. ICCE-Taiwan 2024: 137-138 - 2023
- [c29]Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra:
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. ASPLOS (4) 2023: 73-86 - 2022
- [c28]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR 2022: 12084-12093 - 2021
- [c27]Yu-Hsin Chen, Qiushi Chen, Lan Kong, Guodong Liu:
Early Prediction of Autism Spectrum Disorder Using Health Claims Data. AMIA 2021 - [c26]Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra:
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA 2021: 71-83 - 2019
- [c25]Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Stephen W. Keckler, Joel S. Emer:
Timeloop: A Systematic Approach to DNN Accelerator Evaluation. ISPASS 2019: 304-315 - 2018
- [c24]Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang:
Hardware for machine learning: Challenges and opportunities. CICC 2018: 1-8 - 2017
- [c23]Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
A method to estimate the energy consumption of deep neural networks. ACSSC 2017: 1916-1920 - [c22]Vivienne Sze, Yu-Hsin Chen, Joel S. Einer, Amr Suleiman, Zhengdong Zhang:
Hardware for machine learning: Challenges and opportunities. CICC 2017: 1-8 - [c21]Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze:
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. CVPR 2017: 6071-6079 - [c20]Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Towards closing the energy gap between HOG and CNN features for embedded vision (Invited paper). ISCAS 2017: 1-4 - [c19]Chen Sun, Mark T. Wade, Yunsup Lee, Jason S. Orcutt, Luca Alloatti, Michael S. Georgas, Andrew S. Waterman, Jeffrey M. Shainline, Rimas R. Avizienis, Sen Lin, Benjamin R. Moss, Rajesh Kumar, Fabio Pavanello, Amir H. Atabaki, Henry M. Cook, Albert J. Ou, Jonathan C. Leu, Yu-Hsin Chen, Krste Asanovic, Rajeev J. Ram, Milos A. Popovic, Vladimir Marko Stojanovic:
Microprocessor chip with photonic I/O. OFC 2017: 1-3 - 2016
- [c18]Ming Zhang, Yu-Hsin Chen, Xiaolan Fu:
Suppression of Alpha Oscillation During Micro-expression Recognition. ACCV Workshops (1) 2016: 544-551 - [c17]Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. ISCA 2016: 367-379 - [c16]Yu-Hsin Chen, Tushar Krishna, Joel S. Emer, Vivienne Sze:
14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks. ISSCC 2016: 262-263 - [c15]Yu-Hsin Chen, Jinho D. Choi:
Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows. SIGDIAL Conference 2016: 90-100 - 2015
- [c14]Krishna T. Settaluri, Sen Lin, Sajjad Moazeni, Erman Timurdogan, Chen Sun, Michele Moresco, Zhan Su, Yu-Hsin Chen, Gerald Leake, Douglas LaTulipe, Colin McDonough, Jeremiah Hebding, Douglas Coolbaugh, Michael Watts, Vladimir Stojanovic:
Demonstration of an optical chip-to-chip link in a 3D integrated electronic-photonic platform. ESSCIRC 2015: 156-159 - 2014
- [c13]Wen-Jing Yan, Sujing Wang, Yu-Hsin Chen, Guoying Zhao, Xiaolan Fu:
Quantifying Micro-expressions with Constraint Local Model and Local Binary Pattern. ECCV Workshops (1) 2014: 296-305 - [c12]Yu-Hsin Chen, Vivienne Sze:
A 2014 Mbin/s deeply pipelined CABAC decoder for HEVC. ICIP 2014: 2110-2114 - [c11]Michael Georgas, Benjamin Moss, Chen Sun, Jeffrey Shainline, Jason Orcutt, Mark T. Wade, Yu-Hsin Chen, Kareem Nammari, Jonathan C. Leu, Aravind Srinivasan, Rajeev J. Ram, Milos A. Popovic, Vladimir Stojanovic:
A monolithically-integrated optical transmitter and receiver in a zero-change 45nm SOI process. VLSIC 2014: 1-2 - [c10]Chen Sun, Michael Georgas, Jason Orcutt, Benjamin Moss, Yu-Hsin Chen, Jeffrey Shainline, Mark T. Wade, Karan Mehta, Kareem Nammari, Erman Timurdogan, Daniel L. Miller, Ofer Tehar-Zahav, Zvi Sternberg, Jonathan C. Leu, Johanna Chong, Reha Bafrali, Gurtej Sandhu, Michael Watts, Roy Meade, Milos A. Popovic, Rajeev J. Ram, Vladimir Stojanovic:
A monolithically-integrated chip-to-chip optical link in bulk CMOS. VLSIC 2014: 1-2 - 2013
- [c9]Benjamin Moss, Chen Sun, Michael Georgas, Jeffrey Shainline, Jason Orcutt, Jonathan C. Leu, Mark T. Wade, Yu-Hsin Chen, Kareem Nammari, Xiaoxi Wang, Hanqing Li, Rajeev J. Ram, Milos A. Popovic, Vladimir Stojanovic:
A 1.23pJ/b 2.5Gb/s monolithically integrated optical carrier-injection ring modulator and all-digital driver circuit in commercial 45nm SOI. ISSCC 2013: 126-127 - 2012
- [c8]Sujing Wang, Mingfang Sun, Yu-Hsin Chen, Er-Ping Pang, Chunguang Zhou:
STPCA: Sparse tensor Principal Component Analysis for feature extraction. ICPR 2012: 2278-2281 - 2011
- [c7]Yu-Hsin Chen, Hong-Hui Chen, Tung-Chien Chen, Liang-Gee Chen:
Robust heart rate measurement with phonocardiogram by on-line template extraction and matching. EMBC 2011: 1957-1960 - [c6]Hong-Hui Chen, Yu-Hsin Chen, Tung-Chien Chen, Liang-Gee Chen:
Mobile energy expenditure tracking system based on heart rate and motion providing extra extensions for personalized care. EMBC 2011: 5256-5259 - 2010
- [c5]Yu-Hsin Chen, Tung-Chien Chen, Tsung-Hsueh Lee, Liang-Gee Chen:
Sub-microwatt correlation integral processor for implantable closed-loop epileptic neuromodulator. ISCAS 2010: 2083-2086 - 2009
- [c4]Yu-Hsin Chen, Yi-Ju Chen, Xin-Yu Shih, An-Yeu Wu:
A Channel-Adaptive Early Termination strategy for LDPC decoders. SiPS 2009: 226-231 - 2007
- [c3]Fang-Yie Leu, Yu-Hsin Chen, Ching-Chien Kuan:
An Improved Bandwidth-Use Method on IEEE 802.11e Standard over Wireless LAN. NPC 2007: 183-192 - 2005
- [c2]Zhe-Kuan Lin, Horng-Horng Lin, Yu-Hsin Chen, Jen-Hui Chuang:
On the Performance Improvement of H.264 Through Foreground and Background Analyses. ICME 2005: 848-851 - [c1]Fang-Yie Leu, Ching-Chien Kuan, Der-Jiunn Deng, Yu-Hsin Chen:
Garanteed non dropping mechanism deploying IEEE802.11e standard. SITIS 2005: 170-175
Informal and Other Publications
- 2024
- [i9]Raveesh Garg, Hyoukjun Kwon, Eric Qin, Yu-Hsin Chen, Tushar Krishna, Liangzhen Lai:
PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects. CoRR abs/2405.01736 (2024) - 2023
- [i8]Li-Chin Chen, Yi-Heng Lin, Li-Ning Peng, Feng-Ming Wang, Yu-Hsin Chen, Po-Hsun Huang, Shang-Feng Yang, Yu Tsao:
Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula. CoRR abs/2306.06865 (2023) - 2022
- [i7]Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra:
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. CoRR abs/2212.03414 (2022) - 2021
- [i6]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR abs/2111.01236 (2021) - 2018
- [i5]Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks. CoRR abs/1807.07928 (2018) - 2017
- [i4]Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze:
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision. CoRR abs/1703.05853 (2017) - [i3]Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer:
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR abs/1703.09039 (2017) - 2016
- [i2]Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze:
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. CoRR abs/1611.05128 (2016) - [i1]Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang:
Hardware for Machine Learning: Challenges and Opportunities. CoRR abs/1612.07625 (2016)
Coauthor Index
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