Yung-Hsiang Lu

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 65

Top Venues

Publications

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. ASPDAC (2024)
Nick John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu
Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge. CoRR (2024)
Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR (2024)
Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. CoRR (2023)
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE (2023)
Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision. IEEE Des. Test 40 (3) (2023)
Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer 56 (8) (2023)
Nick Eliopoulos, Yung-Hsiang Lu
Lightning Talk 6: Bringing Together Foundation Models and Edge Devices. DAC (2023)
Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. CoRR (2023)
Shane Allcroft, Mohammed Metwaly, Zachery Berg, Isha Ghodgaonkar, Fischer Bordwell, Xinxin Zhao, Xinglei Liu, Jiahao Xu, Subhankar Chakraborty, Vishnu Banna, Akhil Chinnakotla, Abhinav Goel, Caleb Tung, Gore Kao, Wei Zakharov, David A. Shoham, George K. Thiruvathukal, Yung-Hsiang Lu
Observing Human Mobility Internationally During COVID-19. Computer 56 (3) (2023)
Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR (2023)
Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
Automated Discovery of Network Cameras in Heterogeneous Web Pages. ACM Trans. Internet Techn. 22 (1) (2022)
Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. ISLPED (2022)
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. ASP-DAC (2022)
Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection. CoRR (2022)
Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal
Why Accuracy is Not Enough: The Need for Consistency in Object Detection. IEEE Multim. 29 (3) (2022)
George K. Thiruvathukal, Yung-Hsiang Lu
Efficient Computer Vision for Embedded Systems. Computer 55 (4) (2022)
Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. CoRR (2022)
Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. AICAS (2022)
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. CoRR (2021)
Anup Mohan, Ahmed S. Kaseb, Yung-Hsiang Lu, Thomas J. Hacker
Adaptive Resource Management for Analyzing Video Streams from Globally Distributed Network Cameras. IEEE Trans. Cloud Comput. 9 (1) (2021)
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. CoRR (2021)
Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages. CoRR (2021)
Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. CoRR (2021)
Abhinav Goel, Sarah Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, Yung-Hsiang Lu
Modular Neural Networks for Low-Power Image Classification on Embedded Devices. ACM Trans. Design Autom. Electr. Syst. 26 (1) (2021)
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. ISLPED (2021)
Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sarah Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal
Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. CoRR (2020)
Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
Low-power object counting with hierarchical neural networks. ISLPED (2020)
Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
A Survey of Methods for Low-Power Deep Learning and Computer Vision. WF-IoT (2020)
Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, Yung-Hsiang Lu
A Real-Time Feature Indexing System on Live Video Streams. COMPSAC (2020)
Isha Ghodgaonkar, Subhankar Chakraborty, Vishnu Banna, Shane Allcroft, Mohammed Metwaly, Fischer Bordwell, Kohsuke Kimura, Xinxin Zhao, Abhinav Goel, Caleb Tung, Akhil Chinnakotla, Minghao Xue, Yung-Hsiang Lu, Mark Daniel Ward, Wei Zakharov, David S. Ebert, David M. Barbarash, George K. Thiruvathukal
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. CoRR (2020)
Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
A Survey of Methods for Low-Power Deep Learning and Computer Vision. CoRR (2020)
Sarah Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal
Camera Placement Meeting Restrictions of Computer Vision. ICIP (2020)
Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
Low-Power Object Counting with Hierarchical Neural Networks. CoRR (2020)
Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW (2020)
Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
See the World Through Network Cameras. Computer 52 (10) (2019)
Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
See the World through Network Cameras. CoRR (2019)
Ahmed S. Kaseb, Anup Mohan, Youngsol Koh, Yung-Hsiang Lu
Cloud Resource Management for Analyzing Big Real-Time Visual Data from Network Cameras. IEEE Trans. Cloud Comput. 7 (4) (2019)
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR (2019)
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. MIPR (2019)
Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
Cloud Resource Optimization for Processing Multiple Streams of Visual Data. IEEE Multim. 26 (3) (2019)
Yung-Hsiang Lu
Low-power image recognition. Nat. Mach. Intell. 1 (4) (2019)
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David S. Ebert, Yung-Hsiang Lu, George K. Thiruvathukal
Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. CoRR (2019)
Chen Feng, Tao Sheng, Zhiyu Liang, Shaojie Zhuo, Xiaopeng Zhang, Liang Shen, Matthew Ardi, Alexander C. Berg, Yiran Chen, Bo Chen, Kent Gauen, Yung-Hsiang Lu
Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution. CoRR (2019)
Matthew Ardi, Alexander C. Berg, Bo Chen, Yen-Kuang Chen, Yiran Chen, Donghyun Kang, Junhyeok Lee, Seungjae Lee, Yang Lu, Yung-Hsiang Lu, Fei Sun
Special Session: 2018 Low-Power Image Recognition Challenge and Beyond. AICAS (2019)
Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
Cloud Resource Optimization for Processing Multiple Streams of Visual Data. CoRR (2019)
Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud. MIPR (2018)
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. CoRR (2018)
Anup Mohan, Ahmed S. Kaseb, Kent W. Gauen, Yung-Hsiang Lu, Amy R. Reibman, Thomas J. Hacker
Determining the Necessary Frame Rate of Video Data for Object Tracking under Accuracy Constraints. MIPR (2018)
Samira Pouyanfar, Yudong Tao, Anup Mohan, Haiman Tian, Ahmed S. Kaseb, Kent Gauen, Ryan Dailey, Sarah Aghajanzadeh, Yung-Hsiang Lu, Shu-Ching Chen, Mei-Ling Shyu
Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. MIPR (2018)
Kent Gauen, Ryan Dailey, Yung-Hsiang Lu, Eunbyung Park, Wei Liu, Alexander C. Berg, Yiran Chen
Three years of low-power image recognition challenge: Introduction to special session. DATE (2018)
Yung-Hsiang Lu, Alexander C. Berg, Yiran Chen
Low-Power Image Recognition Challenge. AI Mag. 39 (2) (2018)
Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
Analyzing Real-Time Multimedia Content From Network Cameras: Using CPUs and GPUs in the Cloud. CoRR (2018)
Sergei Alyamkin, Matthew Ardi, Achille Brighton, Alexander C. Berg, Yiran Chen, Hsin-Pai Cheng, Bo Chen, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Jongkook Go, Alexander Goncharenko, Xuyang Guo, Hong Hanh Nguyen, Andrew Howard, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Alexander Kondratyev, Seungjae Lee, Suwoong Lee, Junhyeok Lee, Zhiyu Liang, Xin Liu, Juzheng Liu, Zichao Li, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Eunbyung Park, Denis Repin, Tao Sheng, Liang Shen, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo
2018 Low-Power Image Recognition Challenge. CoRR (2018)
Kent Gauen, Ryan Dailey, John Laiman, Yuxiang Zi, Nirmal Asokan, Yung-Hsiang Lu, George K. Thiruvathukal, Mei-Ling Shyu, Shu-Ching Chen
Comparison of Visual Datasets for Machine Learning. IRI (2017)
Ryan Dailey, Ahmed S. Kaseb, Chandler Brown, Sam Jenkins, Sam Yellin, Fengjian Pan, Yung-Hsiang Lu
Creating the World's Largest Real-Time Camera Network. IMAWM (2017)
Kent Gauen, Rohit Rangan, Anup Mohan, Yung-Hsiang Lu, Wei Liu, Alexander C. Berg
Low-power image recognition challenge. ASP-DAC (2017)
Anup Mohan, Kent Gauen, Yung-Hsiang Lu, Wei Wayne Li, Xuemin Chen
Internet of video things in 2030: A world with many cameras. ISCAS (2017)
Bo Fu, Anup Mohan, Yifan Li, Sanghyun Cho, Kent Gauen, Yung-Hsiang Lu
Parallel video processing using embedded computers. GlobalSIP (2017)
Yung-Hsiang Lu, Andrea Cavallaro, Catherine Crump, Gerald Friedland, Keith Winstein
Privacy Protection in Online Multimedia. ACM Multimedia (2017)
Ganesh Gingade, Wenyi Chen, Yung-Hsiang Lu, Jan P. Allebach, Hernan Ildefonso Gutierrez-Vazquez
Hybrid Power Management for Office Equipment. ACM Trans. Design Autom. Electr. Syst. 22 (1) (2016)
Anup Mohan, Ahmed S. Kaseb, Yung-Hsiang Lu, Thomas J. Hacker
Location Based Cloud Resource Management for Analyzing Real-Time Videos from Globally Distributed Network Cameras. CloudCom (2016)
Saurav Nanda, Thomas J. Hacker, Yung-Hsiang Lu
Predictive Model for Dynamically Provisioning Resources in Multi-Tier Web Applications. CloudCom (2016)
Youngsol Koh, Yung-Hsiang Lu
Large-scale Image Processing using Amazon EC2 Spot Instances. IQSP (2016)
Joanna Batstone, Touradj Ebrahimi, Tiejun Huang, Yung-Hsiang Lu, Yonggang Wen
Opportunities and Challenges of Global Network Cameras. ACM Multimedia (2015)
Ahmed S. Kaseb, Everett Berry, Erik Rozolis, Kyle McNulty, Seth Bontrager, Youngsol Koh, Yung-Hsiang Lu, Edward J. Delp
An interactive web-based system using cloud for large-scale visual analytics. IMAWM (2015)
Yung-Hsiang Lu, Alan M. Kadin, Alexander C. Berg, Thomas M. Conte, Erik P. DeBenedictis, Rachit Garg, Ganesh Gingade, Bichlien Hoang, Yongzhen Huang, Boxun Li, Jingyu Liu, Wei Liu, Huizi Mao, Junran Peng, Tianqi Tang, Elie K. Track, Jingqiu Wang, Tao Wang, Yu Wang, Jun Yao
Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD (2015)
Wenyi Chen, Anup Mohan, Yung-Hsiang Lu, Thomas J. Hacker, Wei Tsang Ooi, Edward J. Delp
Analysis of Large-Scale Distributed Cameras Using the Cloud. IEEE Cloud Comput. 2 (5) (2015)
Wei-Tsung Su, Kyle McNulty, Yung-Hsiang Lu
Teaching large-scale image processing over worldwide network cameras. DSP (2015)
Thitiporn Pramoun, Jeehyun Choe, He Li, Qingshuang Chen, Thumrongrat Amornraksa, Yung-Hsiang Lu, Edward J. Delp
Webcam classification using simple features. Computational Imaging (2015)
Ahmed S. Kaseb, Anup Mohan, Yung-Hsiang Lu
Cloud Resource Management for Image and Video Analysis of Big Data from Network Cameras. CCBD (2015)
Milind Kulkarni, Yung-Hsiang Lu
Beyond Big Data - Rethinking Programming Languages for Non-persistent Data. CCBD (2015)
Ahmed S. Kaseb, Wenyi Chen, Ganesh Gingade, Yung-Hsiang Lu
Worldview and route planning using live public cameras. IMAWM (2015)
Wenyi Chen, Yung-Hsiang Lu, Thomas J. Hacker
Adaptive Cloud Resource Allocation for Analysing Many Video Streams. CloudCom (2015)
Ahmed S. Kaseb, Youngsol Koh, Everett Berry, Kyle McNulty, Yung-Hsiang Lu, Edward J. Delp
Multimedia content creation using global network cameras: The making of CAM2. GlobalSIP (2015)
S. M. Iftekharul Alam, Sonia Fahmy, Yung-Hsiang Lu
LiTMaS: Live road traffic maps for smartphones. WOWMOM (2015)
Wei-Tsung Su, Yung-Hsiang Lu, Ahmed S. Kaseb
Harvest the Information from Multimedia Big Data in Global Camera Networks. BigMM (2015)
Everett Berry, Yung-Hsiang Lu, Wei-Tsung Su
Using Global Camera Networks to Create Multimedia Content. CCBD (2015)
Thomas J. Hacker, Yung-Hsiang Lu
An Instructional Cloud-Based Testbed for Image and Video Analytics. CloudCom (2014)
Jeehyun Choe, Thitiporn Pramoun, Thumrongrat Amornraksa, Yung-Hsiang Lu, Edward J. Delp
Image-based geographical location estimation using web cameras. SSIAI (2014)
Yung-Hsiang Lu, Yung-Ho Chiu, Ching-Ren Chiu, Yu-Chiao Hung
Two-Stage Efficiency Measurement and Technological Heterogeneity: Evidence from the Biotechnological Industry in Taiwan. Asia Pac. J. Oper. Res. 31 (1) (2014)
Martin Dimitrov, Yung-Hsiang Lu, Chia-Lin Yang
Guest Editors' Introduction: Cloud Computing for Embedded Systems. IEEE Des. Test 31 (3) (2014)
Ahmed S. Kaseb, Everett Berry, Youngsol Koh, Anup Mohan, Wenyi Chen, He Li, Yung-Hsiang Lu, Edward J. Delp
A system for large-scale analysis of distributed cameras. GlobalSIP (2014)
Srikar Bhagavatula, Byunghoo Jung, Yung-Hsiang Lu
Real-Time Power Sensors for Intelligent Power Management and Beyond. IEEE Des. Test 31 (4) (2014)
Jing Feng, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis, Y. Charlie Hu
Energy-efficient data dissemination using beamforming in wireless sensor networks. ACM Trans. Sens. Networks 9 (3) (2013)
Karthik Kumar, Jibang Liu, Yung-Hsiang Lu, Bharat K. Bhargava
A Survey of Computation Offloading for Mobile Systems. Mob. Networks Appl. 18 (1) (2013)
Cordelia M. Brown, Yung-Hsiang Lu, Samuel P. Midkiff
Introducing Parallel Programming in Undergraduate Curriculum. IPDPS Workshops (2013)
Yang Ge, Yukan Zhang, Qinru Qiu, Yung-Hsiang Lu
A game theoretic resource allocation for overall energy minimization in mobile cloud computing system. ISLPED (2012)
Karthik Kumar, Yamini Nimmagadda, Yung-Hsiang Lu
Energy Conservation for Image Retrieval on Mobile Systems. ACM Trans. Embed. Comput. Syst. 11 (3) (2012)
Ayse Kivilcim Coskun, Yung-Hsiang Lu, Qinru Qiu
Introduction to the special section on adaptive power management for energy and temperature-aware computing systems. ACM Trans. Design Autom. Electr. Syst. 18 (1) (2012)
Man Wang, Zhiyuan Li, Feng Li, Xiaobing Feng, Saurabh Bagchi, Yung-Hsiang Lu
Dependence-based multi-level tracing and replay for wireless sensor networks debugging. LCTES (2011)
Karthik Kumar, Jing Feng, Yamini Nimmagadda, Yung-Hsiang Lu
Resource Allocation for Real-Time Tasks Using Cloud Computing. ICCCN (2011)
Serkan Sayilir, Yung-Hsiang Lu, Dimitrios Peroulis, Y. Charlie Hu, Byunghoo Jung
Collaborative beamforming in wireless sensor networks. ACSCC (2011)
Karthik Kumar, Kshitij A. Doshi, Martin Dimitrov, Yung-Hsiang Lu
Memory energy management for an enterprise decision support system. ISLPED (2011)
Yung-Hsiang Lu, Qinru Qiu, Ali Raza Butt, Kirk W. Cameron
End-to-End Energy Management. Computer 44 (11) (2011)
Karthik Kumar, Yung-Hsiang Lu
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?. Computer 43 (4) (2010)
Jing Feng, Yamini Nimmagadda, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis, Y. Charlie Hu
Analysis of Energy Consumption on Data Sharing in Beamforming for Wireless Sensor Networks. ICCCN (2010)
Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu, C. S. George Lee
Real-time moving object recognition and tracking using computation offloading. IROS (2010)
Serkan Sayilir, Yung-Hsiang Lu, Dimitrios Peroulis, Y. Charlie Hu, Byunghoo Jung
Phase difference and frequency offset estimation for collaborative beamforming in sensor networks. ISCAS (2010)

Yung-Hsiang Lu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yung-Hsiang Lu