Chia-Yu Chen

49 papers A* 11A 4B 3Journal 16Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
Association Between Mastication Pattern, Periodontal Condition, and Cognitive Condition - Investigation Using Large Database of Japanese Universal Healthcare System.
Big Data Cogn. Comput.
Takahiko Shiba, Daisuke Sasaki, Juanna Xie, Chia-Yu Chen, Hiroyuki Tanaka, Shigemi Nagai
2025 J jnl
WoundcareVQA: A multilingual visual question answering benchmark dataset for wound care.
J. Biomed. Informatics
Wen-Wai Yim, Asma Ben Abacha, Robert Doerning, Chia-Yu Chen, Jiaying Xu, Anita Subbarao, Zixuan Yu, Fei Xia, M. Kennedy Hall, Meliha Yetisgen
2024 J jnl
Clinical Trials Gone Missing - A Potential Source for Publication Bias in Dentistry.
Publ.
Justin Tomack, Kathleen Mascardo, Chia-Yu Chen, Tony Chen, Xihao Li, David M. Kim, Eli E. Machtei
2024 A* conf
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems.
ICML
Bonan Zhang, Chia-Yu Chen, Naveen Verma
2023 — conf
Attention-based Learning for Sleep Apnea and Limb Movement Detection using Wi-Fi CSI Signals.
VTC2023-Spring
Chi-Che Chang, An-Hung Hsiao, Li-Hsiang Shen, Kai-Ten Feng, Chia-Yu Chen
2023 J jnl
Attention-based Learning for Sleep Apnea and Limb Movement Detection using Wi-Fi CSI Signals.
CoRR
Chi-Che Chang, An-Hung Hsiao, Li-Hsiang Shen, Kai-Ten Feng, Chia-Yu Chen
2022 J jnl
A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS Hybrid-FP8 Training, 104.9-TOPS INT4 Inference, and Workload-Aware Throttling.
IEEE J. Solid State Circuits
Sae Kyu Lee, Ankur Agrawal, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matthew Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, Monodeep Kar, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2022 A conf
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization.
INTERSPEECH
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
2022 J jnl
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization.
CoRR
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
2022 — conf
CAMPUS: A University Crowdsourcing Platform for Reporting Facility, Status Update, and Problem Area Information.
CSCW Companion
Chih-Chi Chung, Yen-Chun Lin, Yu-Cheng Wang, Tze-Yu Chen, Chia-Yu Chen, Xinye Jiang, Fang-Yu Lin, Yu-Hao Weng, Yung-Ju Chang
2022 B conf
Contactless Transfer Learning Based Apnea Detection System for Wi-Fi CSI Networks.
PIMRC
Chia-Yu Chen, An-Hung Hsiao, Chun-Jie Chiu, Kai-Ten Feng
2022 A* conf
Deep Compression of Pre-trained Transformer Models.
NeurIPS
Naigang Wang, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Sanchari Sen, Chia-Yu Chen, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Leland Chang
2021 A conf
4-Bit Quantization of LSTM-Based Speech Recognition Models.
Interspeech
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021 J jnl
4-bit Quantization of LSTM-based Speech Recognition Models.
CoRR
Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021 — conf
A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling.
ISSCC
Ankur Agrawal, Sae Kyu Lee, Joel Silberman, Matthew M. Ziegler, Mingu Kang, Swagath Venkataramani, Nianzheng Cao, Bruce M. Fleischer, Michael Guillorn, Matt Cohen, Silvia M. Mueller, Jinwook Oh, Martin Lutz, Jinwook Jung, Siyu Koswatta, Ching Zhou, Vidhi Zalani, James Bonanno, Robert Casatuta, Chia-Yu Chen, Jungwook Choi, Howard Haynie, Alyssa Herbert, Radhika Jain, Monodeep Kar, Kyu-Hyoun Kim, Yulong Li, Zhibin Ren, Scot Rider, Marcel Schaal, Kerstin Schelm, Michael Scheuermann, Xiao Sun, Hung Tran, Naigang Wang, Wei Wang, Xin Zhang, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2021 A* conf
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference.
ISCA
Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
2021 J jnl
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training.
CoRR
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2020 — conf
A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference.
VLSI Circuits
Jinwook Oh, Sae Kyu Lee, Mingu Kang, Matthew M. Ziegler, Joel Silberman, Ankur Agrawal, Swagath Venkataramani, Bruce M. Fleischer, Michael Guillorn, Jungwook Choi, Wei Wang, Silvia M. Mueller, Shimon Ben-Yehuda, James Bonanno, Nianzheng Cao, Robert Casatuta, Chia-Yu Chen, Matt Cohen, Ophir Erez, Thomas W. Fox, George Gristede, Howard Haynie, Vicktoria Ivanov, Siyu Koswatta, Shih-Hsien Lo, Martin Lutz, Gary W. Maier, Alex Mesh, Yevgeny Nustov, Scot Rider, Marcel Schaal, Michael Scheuermann, Xiao Sun, Naigang Wang, Fanchieh Yee, Ching Zhou, Vinay Shah, Brian W. Curran, Vijayalakshmi Srinivasan, Pong-Fei Lu, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang
2020 — conf
An Intelligent Approach for Optimizing Energy-Efficient Packets Routing in the Smart Grid Internet of Things.
SGIoT
Chih-Kun Ke, Mei-Yu Wu, Chia-Yu Chen
2020 J jnl
Efficient AI System Design With Cross-Layer Approximate Computing.
Proc. IEEE
Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan
2020 J jnl
Learning Performance of Teaching Practice of Friendly Senior Care Space Design.
Int. J. Online Pedagog. Course Des.
Meng-Chieh Jeffrey Lee, Hsiao-Yu Chen, Yi-Ming Fang, Ling-Fang Wang, Chia-Yu Chen
2020 A* conf
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training.
NeurIPS
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2020 A* conf
Ultra-Low Precision 4-bit Training of Deep Neural Networks.
NeurIPS
Xiao Sun, Naigang Wang, Chia-Yu Chen, Jiamin Ni, Ankur Agrawal, Xiaodong Cui, Swagath Venkataramani, Kaoutar El Maghraoui, Vijayalakshmi Srinivasan, Kailash Gopalakrishnan
2019 — conf
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks.
ICLR (Poster)
Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan
2019 J jnl
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks.
CoRR
Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh R. Shanbhag, Kailash Gopalakrishnan
2019 B conf
Bounded & Nuanced: Designing Mobile Technology for Children and Parents.
MobileHCI
Ying-Yu Chen, Yuan-Chi Tseng, Chia-Yu Chen, Tina Chien-Wen Yuan
2019 J jnl
Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Chia-Yu Chen, Boris Murmann, Jae-sun Seo, Hoi-Jun Yoo
2019 — conf
Discover the Optimal IoT Packets Routing Path of Software-Defined Network via Artificial Bee Colony Algorithm.
WiCON
Chih-Kun Ke, Mei-Yu Wu, Wang-Hsin Hsu, Chia-Yu Chen
2019 A* conf
Does
CHI
Hao-Ping Lee, Kuan-yin Chen, Chih-Heng Lin, Chia-Yu Chen, Yu-Lin Chung, Yung-Ju Chang, Chien-Ru Sun
2019 A* conf
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks.
NeurIPS
Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Xiaodong Cui, Wei Zhang, Kailash Gopalakrishnan
2019 B conf
Predicting Smartphone Users' General Responsiveness to IM Contacts Based on IM Behavior.
MobileHCI
Hao-Ping Lee, Tilman Dingler, Chih-Heng Lin, Kuan-yin Chen, Yu-Lin Chung, Chia-Yu Chen, Yung-Ju Chang
2019 — conf
Rapid 3D building modeling by sketching.
SIGGRAPH Posters
Chia-Yu Chen, I-Chen Lin
2018 — conf
A Prefetching Scheme for Multi-Tiered Storage Systems.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Chia-Yu Chen, Chien-Yi Liu, Hsung-Pin Chang
2018 — conf
A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference.
VLSI Circuits
Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Vijayalakshmi Srinivasan, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2018 A conf
Across the Stack Opportunities for Deep Learning Acceleration.
ISLPED
Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan
2018 A* conf
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training.
AAAI
Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan
2018 A conf
Exploiting approximate computing for deep learning acceleration.
DATE
Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Viji Srinivasan, Swagath Venkataramani
2018 A* conf
Training Deep Neural Networks with 8-bit Floating Point Numbers.
NeurIPS
Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan
2018 J jnl
Training Deep Neural Networks with 8-bit Floating Point Numbers.
CoRR
Naigang Wang, Jungwook Choi, Daniel Brand, Chia-Yu Chen, Kailash Gopalakrishnan
2017 A* conf
Accelerator Design for Deep Learning Training: Extended Abstract: Invited.
DAC
Ankur Agrawal, Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Jinwook Oh, Sunil Shukla, Viji Srinivasan, Swagath Venkataramani, Wei Zhang
2017 J jnl
AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training.
CoRR
Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan
2016 A* conf
Motion Guidance Sleeve: Guiding the Forearm Rotation through External Artificial Muscles.
CHI
Chia-Yu Chen, Yen-Yu Chen, Yi-Ju Chung, Neng-Hao Yu
2016 — conf
PinchFun: A Fine Motor Training Game for Preschool Children with Developmental Delay.
CHI Extended Abstracts
I-Fang Wang, Dennis Wang, Chia-Yu Chen, Jyun-Fong Jheng
2015 — conf
Separation of interface states and electron trapping for hot carrier degradation in ultra-scaled replacement metal gate n-FinFET.
IRPS
Miaomiao Wang, Zuoguang Liu, Tenko Yamashita, James H. Stathis, Chia-Yu Chen
2014 J jnl
Activation energy of drain-current degradation in GaN HEMTs under high-power DC stress.
Microelectron. Reliab.
Yufei Wu, Chia-Yu Chen, Jesús A. del Alamo
2010 — conf
A Mobile and Web System with Contextual Familiarity and its Effect on Campus English Learning.
DIGITEL
Shu-Chen Cheng, Wu-Yuin Hwang, Dun-Wei Wen, Sheng-Yi Wu, Ching-Hua Hsiehe, Chia-Yu Chen
2006 J jnl
Constructing SCORM compliant course based on High-Level Petri Nets.
Comput. Stand. Interfaces
Jun-Ming Su, Shian-Shyong Tseng, Chia-Yu Chen, Jui-Feng Weng, Wen-Nung Tsai
2004 — conf
A two-pass web document allocation method for load balancing in the multiple grouping of a Web cluster system.
ICON
Ying-Wen Bai, Chia-Yu Chen, Yu-Nien Yang
2004 — conf
Constructing Scorm Compliant Course Based on High Level Petri Nets.
CELDA
Jun-Ming Su, Shian-Shyong Tseng, Chia-Yu Chen, Jui-Feng Weng