Yu-Hsin Chen

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 38

Top Venues

CoRR

VLSIC

IEEE J. Solid State Circuits

IEEE Micro

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

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 (2023)
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)
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)
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) (2022)
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 (2022)
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 (2022)
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)
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 (2021)
Yu-Hsin Chen, Qiushi Chen, Lan Kong, Guodong Liu
Early Prediction of Autism Spectrum Disorder Using Health Claims Data. AMIA (2021)
Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA (2021)
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) (2020)
Yu-Hsin Chen, Min-Cing Chen, Ching-Jui Keng
Measuring online live streaming of perceived servicescape. Internet Res. 30 (3) (2020)
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)
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) (2019)
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) (2019)
Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
Hardware for machine learning: Challenges and opportunities. CICC (2018)
Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Eyeriss v2: A Flexible and High-Performance Accelerator for Emerging Deep Neural Networks. CoRR (2018)
Wen-Jing Yan, Yu-Hsin Chen
Measuring dynamic micro-expressions via feature extraction methods. J. Comput. Sci. 25 (2018)
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) (2017)
Vivienne Sze, Yu-Hsin Chen, Joel S. Einer, Amr Suleiman, Zhengdong Zhang
Hardware for machine learning: Challenges and opportunities. CICC (2017)
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
Designing Energy-Efficient Convolutional Neural Networks Using Energy-Aware Pruning. CVPR (2017)
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel S. Emer
Efficient Processing of Deep Neural Networks: A Tutorial and Survey. CoRR (2017)
Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Using Dataflow to Optimize Energy Efficiency of Deep Neural Network Accelerators. IEEE Micro 37 (3) (2017)
Tien-Ju Yang, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
A method to estimate the energy consumption of deep neural networks. ACSSC (2017)
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) (2017)
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)
Amr Suleiman, Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision. CoRR (2017)
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 Chung Leu, Yu-Hsin Chen, Krste Asanovic, Rajeev J. Ram, Milos A. Popovic, Vladimir Marko Stojanovic
Microprocessor chip with photonic I/O. OFC (2017)
Ming Zhang, Yu-Hsin Chen, Xiaolan Fu
Suppression of Alpha Oscillation During Micro-expression Recognition. ACCV Workshops (1) (2016)
Yu-Hsin Chen, Joel S. Emer, Vivienne Sze
Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. ISCA (2016)
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning. CoRR (2016)
Vivienne Sze, Yu-Hsin Chen, Joel S. Emer, Amr Suleiman, Zhengdong Zhang
Hardware for Machine Learning: Challenges and Opportunities. CoRR (2016)
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)
Yu-Hsin Chen, Jinho D. Choi
Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows. SIGDIAL Conference (2016)
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 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) (2015)
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 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) (2015)
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) (2015)
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)
Yu-Hsin Chen, Vivienne Sze
A 2014 Mbin/s deeply pipelined CABAC decoder for HEVC. ICIP (2014)
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) (2014)
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 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)
Michael Georgas, Benjamin Moss, Chen Sun, Jeffrey Shainline, Jason Orcutt, Mark T. Wade, Yu-Hsin Chen, Kareem Nammari, Jonathan 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)
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)
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) (2013)
Benjamin Moss, Chen Sun, Michael Georgas, Jeffrey Shainline, Jason Orcutt, Jonathan 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)
Sujing Wang, Mingfang Sun, Yu-Hsin Chen, Er-Ping Pang, Chunguang Zhou
STPCA: Sparse tensor Principal Component Analysis for feature extraction. ICPR (2012)
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)
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) (2011)
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) (2011)
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)
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)
Yu-Hsin Chen, Yi-Ju Chen, Xin-Yu Shih, An-Yeu Wu
A Channel-Adaptive Early Termination strategy for LDPC decoders. SiPS (2009)
Fang-Yie Leu, Yu-Hsin Chen, Ching-Chien Kuan
An Improved Bandwidth-Use Method on IEEE 802.11e Standard over Wireless LAN. NPC (2007)
Fang-Yie Leu, Ching-Chien Kuan, Der-Jiunn Deng, Yu-Hsin Chen
Garanteed non dropping mechanism deploying IEEE802.11e standard. SITIS (2005)
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)

Yu-Hsin Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yu-Hsin Chen