Constructing Scorm Compliant Course Based on High Level Petri Nets. - Jun-Ming Su 001; Shian-Shyong Tseng; Chia-Yu Chen; Jui-Feng Weng (CELDA, 2004)

A two-pass web document allocation method for load balancing in the multiple grouping of a Web cluster system. - Ying-Wen Bai; Chia-Yu Chen; Yu-Nien Yang (ICON, 2004)

Constructing SCORM compliant course based on High-Level Petri Nets. - Jun-Ming Su 001; Shian-Shyong Tseng; Chia-Yu Chen; Jui-Feng Weng; Wen-Nung Tsai (Comput. Stand. Interfaces, 2006)

A Mobile and Web System with Contextual Familiarity and its Effect on Campus English Learning. - Shu-Chen Cheng; Wu-Yuin Hwang; Dun-Wei Wen; Sheng-Yi Wu; Ching-Hua Hsiehe; Chia-Yu Chen (DIGITEL, 2010)

Activation energy of drain-current degradation in GaN HEMTs under high-power DC stress. - Yufei Wu 005; Chia-Yu Chen; Jesús A. del Alamo (Microelectron. Reliab., 2014)

Separation of interface states and electron trapping for hot carrier degradation in ultra-scaled replacement metal gate n-FinFET. - Miaomiao Wang 006; Zuoguang Liu; Tenko Yamashita; James H. Stathis; Chia-Yu Chen (IRPS, 2015)

Motion Guidance Sleeve: Guiding the Forearm Rotation through External Artificial Muscles. - Chia-Yu Chen; Yen-Yu Chen; Yi-Ju Chung; Neng-Hao Yu (CHI, 2016)

PinchFun: A Fine Motor Training Game for Preschool Children with Developmental Delay. - I-Fang Wang; Dennis Wang; Chia-Yu Chen; Jyun-Fong Jheng (CHI Extended Abstracts, 2016)

Accelerator Design for Deep Learning Training: Extended Abstract: Invited. - Ankur Agrawal; Chia-Yu Chen; Jungwook Choi; Kailash Gopalakrishnan; Jinwook Oh; Sunil Shukla; Viji Srinivasan; Swagath Venkataramani; Wei Zhang 022 (DAC, 2017)

AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training. - Chia-Yu Chen; Jungwook Choi; Daniel Brand; Ankur Agrawal; Wei Zhang; Kailash Gopalakrishnan (AAAI, 2018)

Exploiting approximate computing for deep learning acceleration. - Chia-Yu Chen; Jungwook Choi; Kailash Gopalakrishnan; Viji Srinivasan; Swagath Venkataramani (DATE, 2018)

Across the Stack Opportunities for Deep Learning Acceleration. - 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; et al. (ISLPED, 2018)

Training Deep Neural Networks with 8-bit Floating Point Numbers. - Naigang Wang; Jungwook Choi; Daniel Brand; Chia-Yu Chen; Kailash Gopalakrishnan (NeurIPS, 2018)

A Prefetching Scheme for Multi-Tiered Storage Systems. - Chia-Yu Chen; Chien-Yi Liu; Hsung-Pin Chang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

A Scalable Multi- TeraOPS Deep Learning Processor Core for AI Trainina and Inference. - 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; et al. (VLSI Circuits, 2018)

Does Who Matter?: Studying the Impact of Relationship Characteristics on Receptivity to Mobile IM Messages. - Hao-Ping Lee; Kuan-yin Chen; Chih-Heng Lin; Chia-Yu Chen; Yu-Lin Chung; Yung-Ju Chang; Chien-Ru Sun (CHI, 2019)

Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks. - Charbel Sakr; Naigang Wang; Chia-Yu Chen; Jungwook Choi; Ankur Agrawal; Naresh R. Shanbhag; Kailash Gopalakrishnan (ICLR (Poster), 2019)

Bounded & Nuanced: Designing Mobile Technology for Children and Parents. - Ying-Yu Chen; Yuan-Chi Tseng; Chia-Yu Chen; Tina Chien-Wen Yuan (MobileHCI, 2019)

Predicting Smartphone Users' General Responsiveness to IM Contacts Based on IM Behavior. - Hao-Ping Lee; Tilman Dingler; Chih-Heng Lin; Kuan-yin Chen; Yu-Lin Chung; Chia-Yu Chen; Yung-Ju Chang (MobileHCI, 2019)

Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks. - Xiao Sun 013; Jungwook Choi; Chia-Yu Chen; Naigang Wang; Swagath Venkataramani; Vijayalakshmi Srinivasan; Xiaodong Cui; Wei Zhang 022; Kailash Gopalakrishnan (NeurIPS, 2019)

Rapid 3D building modeling by sketching. - Chia-Yu Chen; I-Chen Lin (SIGGRAPH Posters, 2019)

Discover the Optimal IoT Packets Routing Path of Software-Defined Network via Artificial Bee Colony Algorithm. - Chih-Kun Ke; Mei-Yu Wu; Wang-Hsin Hsu; Chia-Yu Chen (WiCON, 2019)

Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview. - Chia-Yu Chen; Boris Murmann; Jae-sun Seo; Hoi-Jun Yoo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. - Chia-Yu Chen; Jiamin Ni; Songtao Lu; Xiaodong Cui; Pin-Yu Chen; Xiao Sun 013; Naigang Wang; Swagath Venkataramani; Vijayalakshmi Srinivasan; Wei Zhang 022; Kailash Gopalakrishnan (NeurIPS, 2020)

Ultra-Low Precision 4-bit Training of Deep Neural Networks. - Xiao Sun 013; Naigang Wang; Chia-Yu Chen; Jiamin Ni; Ankur Agrawal; Xiaodong Cui; Swagath Venkataramani; Kaoutar El Maghraoui; Vijayalakshmi Srinivasan; Kailash Gopalakrishnan (NeurIPS, 2020)

An Intelligent Approach for Optimizing Energy-Efficient Packets Routing in the Smart Grid Internet of Things. - Chih-Kun Ke; Mei-Yu Wu; Chia-Yu Chen (SGIoT, 2020)

A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute Utilization AI Training and Inference. - 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 333; Silvia M. Mueller; et al. (VLSI Circuits, 2020)

Learning Performance of Teaching Practice of Friendly Senior Care Space Design. - Meng-Chieh Jeffrey Lee; Hsiao-Yu Chen; Yi-Ming Fang; Ling-Fang Wang; Chia-Yu Chen (Int. J. Online Pedagog. Course Des., 2020)

Efficient AI System Design With Cross-Layer Approximate Computing. - Swagath Venkataramani; Xiao Sun 013; Naigang Wang; Chia-Yu Chen; Jungwook Choi; Mingu Kang; Ankur Agarwal; Jinwook Oh; Shubham Jain; Tina Babinsky; Nianzheng Cao; Thomas W. Fox; et al. (Proc. IEEE, 2020)

4-Bit Quantization of LSTM-Based Speech Recognition Models. - Andrea Fasoli; Chia-Yu Chen; Mauricio J. Serrano; Xiao Sun 013; Naigang Wang; Swagath Venkataramani; George Saon; Xiaodong Cui; Brian Kingsbury; Wei Zhang 022; Zoltán Tüske; Kailash Gopalakrishnan (Interspeech, 2021)

RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. - Swagath Venkataramani; Vijayalakshmi Srinivasan; Wei Wang 333; Sanchari Sen; Jintao Zhang; Ankur Agrawal; Monodeep Kar; Shubham Jain; Alberto Mannari; Hoang Tran; Yulong Li; Eri Ogawa; et al. (ISCA, 2021)

A 7nm 4-Core AI Chip with 25.6TFLOPS Hybrid FP8 Training, 102.4TOPS INT4 Inference and Workload-Aware Throttling. - 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; et al. (ISSCC, 2021)

CAMPUS: A University Crowdsourcing Platform for Reporting Facility, Status Update, and Problem Area Information. - 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 (CSCW Companion, 2022)

Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. - Andrea Fasoli; Chia-Yu Chen; Mauricio J. Serrano; Swagath Venkataramani; George Saon; Xiaodong Cui; Brian Kingsbury; Kailash Gopalakrishnan (INTERSPEECH, 2022)

Deep Compression of Pre-trained Transformer Models. - Naigang Wang; Chi-Chun (Charlie) Liu; Swagath Venkataramani; Sanchari Sen; Chia-Yu Chen; Kaoutar El Maghraoui; Vijayalakshmi Srinivasan; Leland Chang (NeurIPS, 2022)

Contactless Transfer Learning Based Apnea Detection System for Wi-Fi CSI Networks. - Chia-Yu Chen; An-Hung Hsiao; Chun-Jie Chiu; Kai-Ten Feng (PIMRC, 2022)

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. - 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; et al. (IEEE J. Solid State Circuits, 2022)

Attention-based Learning for Sleep Apnea and Limb Movement Detection using Wi-Fi CSI Signals. - Chi-Che Chang; An-Hung Hsiao; Li-Hsiang Shen; Kai-Ten Feng; Chia-Yu Chen (VTC2023-Spring, 2023)

Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems. - Bonan Zhang; Chia-Yu Chen; Naveen Verma (ICML, 2024)

Spatial Mapping of Mobile Genetic Elements and their Cognate Hosts in Complex Microbiomes - Combined MGE and taxonomic mapping. - Benjamin Grodner; Hao Shi 008; Owen Farchione; Albert C. Vill; Ioannis Ntekas; Peter J. Diebold; David T. Wu; Chia-Yu Chen; David M. Kim; Warren Zipfel; Ilana L. Brito; Iwijn De Vlaminck (Zenodo, 2024)

Spatial Mapping of Mobile Genetic Elements and their Cognate Hosts in Complex Microbiomes - Identifying the host taxon of a previously undescribed plasmid. - Benjamin Grodner; Hao Shi 008; Owen Farchione; Albert C. Vill; Ioannis Ntekas; Peter J. Diebold; David T. Wu; Chia-Yu Chen; David M. Kim; Warren Zipfel; Ilana L. Brito; Iwijn De Vlaminck (Zenodo, 2024)

Clinical Trials Gone Missing - A Potential Source for Publication Bias in Dentistry. - Justin Tomack; Kathleen Mascardo; Chia-Yu Chen; Tony Chen; Xihao Li; David M. Kim; Eli E. Machtei (Publ., 2024)