Yung-Hsiang Lu

189 papers A* 16A 30B 13C 13Misc 1Journal 77Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Multi-Instrument Music Transcription: Results from the 2025 AMT Challenge. CoRR Ojas Chaturvedi, Kayshav Bhardwaj, Tanay Gondil, Benjamin Shiue-Hal Chou, Kristen Yeon-Ji Yun, Yung-Hsiang Lu, Yujia Yan, Sungkyun Chang
2026	J	`jnl`	From Score to Sound: An End-to-End MIDI-to-Motion Pipeline for Robotic Cello Performance. CoRR Samantha Rose Sudhoff, Pranesh Velmurugan, Jiashu Liu, Vincent Zhao, Yung-Hsiang Lu, Kristen Yeon-Ji Yun
2025	J	`jnl`	AdaPerceiver: Transformers with Adaptive Width, Depth, and Tokens. CoRR Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, Yung-Hsiang Lu, James C. Davis
2025	A*	`conf`	Detecting Music Performance Errors with Transformers. AAAI Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, Tim Nadolsky, Cheng-Yun Yang, Nikita Ravi, James C. Davis, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2025	J	`jnl`	Detecting Music Performance Errors with Transformers. CoRR Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, Tim Nadolsky, Cheng-Yun Yang, Nikita Ravi, James C. Davis, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2025	—	`conf`	FlexGE: Towards Secure and Flexible Model Partition for Deep Neural Networks. DIMVA (2) Xiaolong Wu, Aravind Kumar Machiry, Yung-Hsiang Lu, Dave Jing Tian
2025	J	`jnl`	Inference-Time Alignment of Diffusion Models with Evolutionary Algorithms. CoRR Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2025	J	`jnl`	LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection. CoRR Benjamin Shiue-Hal Chou, Purvish Jajal, Nick John Eliopoulos, James C. Davis, George K. Thiruvathukal, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2025	A	`conf`	Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge. WACV Nicholas John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu
2025	A	`conf`	Token Turing Machines are Efficient Vision Models. WACV Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiravathukal, James C. Davis, Yung-Hsiang Lu
2024	J	`jnl`	2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR 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
2024	B	`conf`	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. ASPDAC Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
2024	J	`jnl`	Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software? CoRR Ryan Hasler, Konstantin Läufer, George K. Thiruvathukal, Huiyun Peng, Kyle Robinson, Kirsten Davis, Yung-Hsiang Lu, James C. Davis
2024	A	`conf`	Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. ISSTA Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions. CoRR Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, James C. Davis
2024	J	`jnl`	Pruning One More Token is Enough: Leveraging Latency-Workload Non-Linearities for Vision Transformers on the Edge. CoRR Nick John Eliopoulos, Purvish Jajal, James C. Davis, Gaowen Liu, George K. Thiravathukal, Yung-Hsiang Lu
2024	A	`conf`	Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. ISLPED Cheng-Yun Yang, Gowri Ramshankar, Nicholas Eliopoulos, Purvish Jajal, Sudarshan Nambiar, Evan Miller, Xun Zhang, Dave (Jing) Tian, Shuo-Han Chen, Chiy-Ferng Perng, Yung-Hsiang Lu
2024	J	`jnl`	Token Turing Machines are Efficient Vision Models. CoRR Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiravathukal, James C. Davis, Yung-Hsiang Lu
2024	—	`conf`	Visualize Music Using Generative Arts. CAI Brian Man-Kit Ng, Samantha Rose Sudhoff, Haichang Li, Joshua Kamphuis, Tim Nadolsky, Yingjie Chen, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
2023	A*	`conf`	An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. CoRR Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yung Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
2023	J	`jnl`	Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. CoRR Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2023	J	`jnl`	Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2023	A*	`conf`	Lightning Talk 6: Bringing Together Foundation Models and Edge Devices. DAC Nick Eliopoulos, Yung-Hsiang Lu
2023	J	`jnl`	Observing Human Mobility Internationally During COVID-19. Computer 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
2023	J	`jnl`	Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision. IEEE Des. Test Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis
2022	J	`jnl`	Automated Discovery of Network Cameras in Heterogeneous Web Pages. ACM Trans. Internet Techn. Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
2022	A	`conf`	Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. ISLPED Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022	J	`jnl`	Efficient Computer Vision for Embedded Systems. Computer George K. Thiruvathukal, Yung-Hsiang Lu
2022	—	`conf`	Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. ASP-DAC Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022	—	`conf`	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. AICAS Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
2022	J	`jnl`	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. CoRR Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
2022	J	`jnl`	Why Accuracy Is Not Enough: The Need for Consistency in Object Detection. CoRR Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2022	J	`jnl`	Why Accuracy is Not Enough: The Need for Consistency in Object Detection. IEEE Multim. Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal
2021	J	`jnl`	Adaptive Resource Management for Analyzing Video Streams from Globally Distributed Network Cameras. IEEE Trans. Cloud Comput. Anup Mohan, Ahmed S. Kaseb, Yung-Hsiang Lu, Thomas J. Hacker
2021	J	`jnl`	An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. CoRR Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
2021	J	`jnl`	Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages. CoRR Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal
2021	J	`jnl`	Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. CoRR Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2021	A	`conf`	Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. ISLPED Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021	J	`jnl`	Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. CoRR Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021	J	`jnl`	Modular Neural Networks for Low-Power Image Classification on Embedded Devices. ACM Trans. Design Autom. Electr. Syst. Abhinav Goel, Sarah Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, Yung-Hsiang Lu
2020	B	`conf`	A Real-Time Feature Indexing System on Live Video Streams. COMPSAC Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, Yung-Hsiang Lu
2020	—	`conf`	A Survey of Methods for Low-Power Deep Learning and Computer Vision. WF-IoT Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
2020	J	`jnl`	A Survey of Methods for Low-Power Deep Learning and Computer Vision. CoRR Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
2020	J	`jnl`	Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. CoRR 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
2020	B	`conf`	Camera Placement Meeting Restrictions of Computer Vision. ICIP Sarah Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal
2020	A*	`conf`	Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
2020	J	`jnl`	Low-Power Object Counting with Hierarchical Neural Networks. CoRR Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
2020	A	`conf`	Low-power object counting with hierarchical neural networks. ISLPED Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
2020	J	`jnl`	Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. CoRR 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
2019	J	`jnl`	Cloud Resource Management for Analyzing Big Real-Time Visual Data from Network Cameras. IEEE Trans. Cloud Comput. Ahmed S. Kaseb, Anup Mohan, Youngsol Koh, Yung-Hsiang Lu
2019	J	`jnl`	Cloud Resource Optimization for Processing Multiple Streams of Visual Data. CoRR Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
2019	J	`jnl`	Cloud Resource Optimization for Processing Multiple Streams of Visual Data. IEEE Multim. Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal
2019	J	`jnl`	Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. CoRR Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David S. Ebert, Yung-Hsiang Lu, George K. Thiruvathukal
2019	—	`conf`	Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. MIPR Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
2019	J	`jnl`	Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution. CoRR 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
2019	J	`jnl`	Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR 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
2019	J	`jnl`	Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 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
2019	J	`jnl`	Low-power image recognition. Nat. Mach. Intell. Yung-Hsiang Lu
2019	J	`jnl`	See the World Through Network Cameras. Computer Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
2019	J	`jnl`	See the World through Network Cameras. CoRR Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo
2019	—	`conf`	Special Session: 2018 Low-Power Image Recognition Challenge and Beyond. AICAS 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
2018	J	`jnl`	2018 Low-Power Image Recognition Challenge. CoRR 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	J	`jnl`	Analyzing Real-Time Multimedia Content From Network Cameras: Using CPUs and GPUs in the Cloud. CoRR Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
2018	—	`conf`	Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud. MIPR Ahmed S. Kaseb, Bo Fu, Anup Mohan, Yung-Hsiang Lu, Amy R. Reibman, George K. Thiruvathukal
2018	—	`conf`	Determining the Necessary Frame Rate of Video Data for Object Tracking under Accuracy Constraints. MIPR Anup Mohan, Ahmed S. Kaseb, Kent W. Gauen, Yung-Hsiang Lu, Amy R. Reibman, Thomas J. Hacker
2018	—	`conf`	Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification. MIPR 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
2018	J	`jnl`	Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. CoRR Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
2018	J	`jnl`	Low-Power Image Recognition Challenge. AI Mag. Yung-Hsiang Lu, Alexander C. Berg, Yiran Chen
2018	A	`conf`	Three years of low-power image recognition challenge: Introduction to special session. DATE Kent Gauen, Ryan Dailey, Yung-Hsiang Lu, Eunbyung Park, Wei Liu, Alexander C. Berg, Yiran Chen
2017	Misc	`conf`	Comparison of Visual Datasets for Machine Learning. IRI Kent Gauen, Ryan Dailey, John Laiman, Yuxiang Zi, Nirmal Asokan, Yung-Hsiang Lu, George K. Thiruvathukal, Mei-Ling Shyu, Shu-Ching Chen
2017	—	`conf`	Creating the World's Largest Real-Time Camera Network. IMAWM Ryan Dailey, Ahmed S. Kaseb, Chandler Brown, Sam Jenkins, Sam Yellin, Fengjian Pan, Yung-Hsiang Lu
2017	C	`conf`	Internet of video things in 2030: A world with many cameras. ISCAS Anup Mohan, Kent Gauen, Yung-Hsiang Lu, Wei Wayne Li, Xuemin Chen
2017	—	`conf`	Low-power image recognition challenge. ASP-DAC Kent Gauen, Rohit Rangan, Anup Mohan, Yung-Hsiang Lu, Wei Liu, Alexander C. Berg
2017	—	`conf`	Parallel video processing using embedded computers. GlobalSIP Bo Fu, Anup Mohan, Yifan Li, Sanghyun Cho, Kent Gauen, Yung-Hsiang Lu
2017	A*	`conf`	Privacy Protection in Online Multimedia. ACM Multimedia Yung-Hsiang Lu, Andrea Cavallaro, Catherine Crump, Gerald Friedland, Keith Winstein
2016	J	`jnl`	Hybrid Power Management for Office Equipment. ACM Trans. Design Autom. Electr. Syst. Ganesh Gingade, Wenyi Chen, Yung-Hsiang Lu, Jan P. Allebach, Hernan Ildefonso Gutierrez-Vazquez
2016	—	`conf`	Large-scale Image Processing using Amazon EC2 Spot Instances. IQSP Youngsol Koh, Yung-Hsiang Lu
2016	C	`conf`	Location Based Cloud Resource Management for Analyzing Real-Time Videos from Globally Distributed Network Cameras. CloudCom Anup Mohan, Ahmed S. Kaseb, Yung-Hsiang Lu, Thomas J. Hacker
2016	C	`conf`	Predictive Model for Dynamically Provisioning Resources in Multi-Tier Web Applications. CloudCom Saurav Nanda, Thomas J. Hacker, Yung-Hsiang Lu
2015	C	`conf`	Adaptive Cloud Resource Allocation for Analysing Many Video Streams. CloudCom Wenyi Chen, Yung-Hsiang Lu, Thomas J. Hacker
2015	—	`conf`	An interactive web-based system using cloud for large-scale visual analytics. IMAWM Ahmed S. Kaseb, Everett Berry, Erik Rozolis, Kyle McNulty, Seth Bontrager, Youngsol Koh, Yung-Hsiang Lu, Edward J. Delp
2015	J	`jnl`	Analysis of Large-Scale Distributed Cameras Using the Cloud. IEEE Cloud Comput. Wenyi Chen, Anup Mohan, Yung-Hsiang Lu, Thomas J. Hacker, Wei Tsang Ooi, Edward J. Delp
2015	—	`conf`	Beyond Big Data - Rethinking Programming Languages for Non-persistent Data. CCBD Milind Kulkarni, Yung-Hsiang Lu
2015	—	`conf`	Cloud Resource Management for Image and Video Analysis of Big Data from Network Cameras. CCBD Ahmed S. Kaseb, Anup Mohan, Yung-Hsiang Lu
2015	—	`conf`	Harvest the Information from Multimedia Big Data in Global Camera Networks. BigMM Wei-Tsung Su, Yung-Hsiang Lu, Ahmed S. Kaseb
2015	C	`conf`	LiTMaS: Live road traffic maps for smartphones. WOWMOM S. M. Iftekharul Alam, Sonia Fahmy, Yung-Hsiang Lu
2015	—	`conf`	Multimedia content creation using global network cameras: The making of CAM2. GlobalSIP Ahmed S. Kaseb, Youngsol Koh, Everett Berry, Kyle McNulty, Yung-Hsiang Lu, Edward J. Delp
2015	A*	`conf`	Opportunities and Challenges of Global Network Cameras. ACM Multimedia Joanna Batstone, Touradj Ebrahimi, Tiejun Huang, Yung-Hsiang Lu, Yonggang Wen
2015	A	`conf`	Rebooting Computing and Low-Power Image Recognition Challenge. ICCAD 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
2015	—	`conf`	Teaching large-scale image processing over worldwide network cameras. DSP Wei-Tsung Su, Kyle McNulty, Yung-Hsiang Lu
2015	—	`conf`	Using Global Camera Networks to Create Multimedia Content. CCBD Everett Berry, Yung-Hsiang Lu, Wei-Tsung Su
2015	—	`conf`	Webcam classification using simple features. Computational Imaging Thitiporn Pramoun, Jeehyun Choe, He Li, Qingshuang Chen, Thumrongrat Amornraksa, Yung-Hsiang Lu, Edward J. Delp
2015	—	`conf`	Worldview and route planning using live public cameras. IMAWM Ahmed S. Kaseb, Wenyi Chen, Ganesh Gingade, Yung-Hsiang Lu
2014	—	`conf`	A system for large-scale analysis of distributed cameras. GlobalSIP Ahmed S. Kaseb, Everett Berry, Youngsol Koh, Anup Mohan, Wenyi Chen, He Li, Yung-Hsiang Lu, Edward J. Delp
2014	C	`conf`	An Instructional Cloud-Based Testbed for Image and Video Analytics. CloudCom Thomas J. Hacker, Yung-Hsiang Lu
2014	J	`jnl`	Guest Editors' Introduction: Cloud Computing for Embedded Systems. IEEE Des. Test Martin Dimitrov, Yung-Hsiang Lu, Chia-Lin Yang
2014	—	`conf`	Image-based geographical location estimation using web cameras. SSIAI Jeehyun Choe, Thitiporn Pramoun, Thumrongrat Amornraksa, Yung-Hsiang Lu, Edward J. Delp
2014	J	`jnl`	Real-Time Power Sensors for Intelligent Power Management and Beyond. IEEE Des. Test Srikar Bhagavatula, Byunghoo Jung, Yung-Hsiang Lu
2014	J	`jnl`	Two-Stage Efficiency Measurement and Technological Heterogeneity: Evidence from the Biotechnological Industry in Taiwan. Asia Pac. J. Oper. Res. Yung-Hsiang Lu, Yung-Ho Chiu, Ching-Ren Chiu, Yu-Chiao Hung
2013	J	`jnl`	A Survey of Computation Offloading for Mobile Systems. Mob. Networks Appl. Karthik Kumar, Jibang Liu, Yung-Hsiang Lu, Bharat K. Bhargava
2013	J	`jnl`	Energy-efficient data dissemination using beamforming in wireless sensor networks. ACM Trans. Sens. Networks Jing Feng, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis, Y. Charlie Hu
2013	—	`conf`	Introducing Parallel Programming in Undergraduate Curriculum. IPDPS Workshops Cordelia M. Brown, Yung-Hsiang Lu, Samuel P. Midkiff
2012	A	`conf`	A game theoretic resource allocation for overall energy minimization in mobile cloud computing system. ISLPED Yang Ge, Yukan Zhang, Qinru Qiu, Yung-Hsiang Lu
2012	J	`jnl`	Energy Conservation for Image Retrieval on Mobile Systems. ACM Trans. Embed. Comput. Syst. Karthik Kumar, Yamini Nimmagadda, Yung-Hsiang Lu
2012	J	`jnl`	Introduction to the special section on adaptive power management for energy and temperature-aware computing systems. ACM Trans. Design Autom. Electr. Syst. Ayse Kivilcim Coskun, Yung-Hsiang Lu, Qinru Qiu
2011	—	`conf`	Collaborative beamforming in wireless sensor networks. ACSCC Serkan Sayilir, Yung-Hsiang Lu, Dimitrios Peroulis, Y. Charlie Hu, Byunghoo Jung
2011	B	`conf`	Dependence-based multi-level tracing and replay for wireless sensor networks debugging. LCTES Man Wang, Zhiyuan Li, Feng Li, Xiaobing Feng, Saurabh Bagchi, Yung-Hsiang Lu
2011	J	`jnl`	End-to-End Energy Management. Computer Yung-Hsiang Lu, Qinru Qiu, Ali Raza Butt, Kirk W. Cameron
2011	A	`conf`	Memory energy management for an enterprise decision support system. ISLPED Karthik Kumar, Kshitij A. Doshi, Martin Dimitrov, Yung-Hsiang Lu
2011	B	`conf`	Resource Allocation for Real-Time Tasks Using Cloud Computing. ICCCN Karthik Kumar, Jing Feng, Yamini Nimmagadda, Yung-Hsiang Lu
2010	J	`jnl`	Adaptation of Multimedia Presentations for Different Display Sizes in the Presence of Preferences and Temporal Constraints. IEEE Trans. Multim. Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu
2010	B	`conf`	Analysis of Energy Consumption on Data Sharing in Beamforming for Wireless Sensor Networks. ICCCN Jing Feng, Yamini Nimmagadda, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis, Y. Charlie Hu
2010	J	`jnl`	Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?. Computer Karthik Kumar, Yung-Hsiang Lu
2010	B	`conf`	Energy-Efficient Transmission for Beamforming in Wireless Sensor Networks. SECON Jing Feng, Che-Wei Chang, Serkan Sayilir, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis, Y. Charlie Hu
2010	C	`conf`	Phase difference and frequency offset estimation for collaborative beamforming in sensor networks. ISCAS Serkan Sayilir, Yung-Hsiang Lu, Dimitrios Peroulis, Y. Charlie Hu, Byunghoo Jung
2010	A	`conf`	Real-time moving object recognition and tracking using computation offloading. IROS Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu, C. S. George Lee
2010	A	`conf`	Tradeoff between energy savings and privacy protection in computation offloading. ISLPED Jibang Liu, Karthik Kumar, Yung-Hsiang Lu
2009	J	`jnl`	A Homogeneous Architecture for Power Policy Integration in Operating Systems. IEEE Trans. Computers Nathaniel Pettis, Yung-Hsiang Lu
2009	C	`conf`	Energy Efficient Collaborative Beamforming in Wireless Sensor Networks. ISCAS Jing Feng, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis
2009	C	`conf`	Energy Efficient Content-based Image Retrieval for Mobile Systems. ISCAS Yu-Ju Hong, Karthik Kumar, Yung-Hsiang Lu
2009	A	`conf`	Energy-efficient image compression in mobile devices for wireless transmission. ICME Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu
2009	B	`conf`	Establishing Trust for Computation Offloading. ICCCN Karthik Kumar, Yamini Nimmagadda, Yung-Hsiang Lu
2009	B	`conf`	Multigrade Security Monitoring for Ad-Hoc Wireless Networks. MASS Matthew Tan Creti, Matthew Beaman, Saurabh Bagchi, Zhiyuan Li, Yung-Hsiang Lu
2009	J	`jnl`	Optimal solutions to a class of power management problems in mobile robots. Autom. Wei Zhang, Yung-Hsiang Lu, Jianghai Hu
2009	A	`conf`	Preference-based adaptation of multimedia presentations for different display sizes. ICME Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu
2009	A	`conf`	Ranking servers based on energy savings for computation offloading. ISLPED Karthik Kumar, Yamini Nimmagadda, Yung-Hsiang Lu
2008	J	`jnl`	Dynamic Voltage Scaling for Multitasking Real-Time Systems With Uncertain Execution Time. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li
2008	A	`conf`	Energy conservation by adaptive feature loading for mobile content-based image retrieval. ISLPED Karthik Kumar, Yamini Nimmagadda, Yu-Ju Hong, Yung-Hsiang Lu
2008	B	`conf`	SeNDORComm: An Energy-Efficient Priority-Driven Communication Layer for Reliable Wireless Sensor Networks. SRDS Vinaitheerthan Sundaram, Saurabh Bagchi, Yung-Hsiang Lu, Zhiyuan Li
2007	A	`conf`	A programming environment with runtime energy characterization for energy-aware applications. ISLPED Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li
2007	B	`conf`	Adaptive computation offloading for energy conservation on battery-powered systems. ICPADS Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li
2007	J	`jnl`	Adaptive correctness monitoring for wireless sensor networks using hierarchical distributed run-time invariant checking. ACM Trans. Auton. Adapt. Syst. Douglas Herbert, Vinaitheerthan Sundaram, Yung-Hsiang Lu, Saurabh Bagchi, Zhiyuan Li
2007	J	`jnl`	CoCoA: Coordinated Cooperative Localization for Mobile Multi-Robot Ad Hoc Networks. Ad Hoc Sens. Wirel. Networks Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu, C. S. George Lee
2007	A*	`conf`	Energy-Aware Scheduling for Real-Time Multiprocessor Systems with Uncertain Task Execution Time. DAC Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li
2007	B	`conf`	Improving quality-of-service of file migration policies in high-performance servers. ICPADS Nathaniel Pettis, Yung-Hsiang Lu
2007	J	`jnl`	Low-Power Buffer Management for Streaming Data. IEEE Trans. Circuits Syst. Video Technol. Jason Ridenour, Jianghai Hu, Nathaniel Pettis, Yung-Hsiang Lu
2007	J	`jnl`	Mobility-aware ad hoc routing protocols for networking mobile robot teams. J. Commun. Networks Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu
2007	A	`conf`	Multi-robot SLAM with topological/metric maps. IROS H. Jacky Chang, C. S. George Lee, Y. Charlie Hu, Yung-Hsiang Lu
2007	C	`conf`	Optimal Power Modes Scheduling Using Hybrid Systems. ACC Wei Zhang, Jianghai Hu, Yung-Hsiang Lu
2007	J	`jnl`	P-SLAM: Simultaneous Localization and Mapping With Environmental-Structure Prediction. IEEE Trans. Robotics H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Y. Charlie Hu
2007	J	`jnl`	Power Measurement of Software Programs on Computers With Multiple I/O Components. IEEE Trans. Instrum. Meas. Changjiu Xian, Le Cai, Yung-Hsiang Lu
2007	J	`jnl`	Sensor replacement using mobile robots. Comput. Commun. Yongguo Mei, Changjiu Xian, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu
2006	A	`conf`	Automatic run-time selection of power policies for operating systems. DATE Nathaniel Pettis, Jason Ridenour, Yung-Hsiang Lu
2006	—	`conf`	CoCoA: Coordinated Cooperative Localization for Mobile Multi-Robot Ad Hoc Networks. ICDCS Workshops Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu, C. S. George Lee
2006	J	`jnl`	Deployment of mobile robots with energy and timing constraints. IEEE Trans. Robotics Yongguo Mei, Yung-Hsiang Lu, Yu Charlie Hu, C. S. George Lee
2006	—	`conf`	Detection and Repair of Software Errors in Hierarchical Sensor Networks. SUTC (1) Douglas Herbert, Yung-Hsiang Lu, Saurabh Bagchi, Zhiyuan Li
2006	—	`conf`	Dynamic voltage scaling for multitasking real-time systems with uncertain execution time. ACM Great Lakes Symposium on VLSI Changjiu Xian, Yung-Hsiang Lu
2006	A	`conf`	Energy reduction by workload adaptation in a multi-process environment. DATE Changjiu Xian, Yung-Hsiang Lu
2006	C	`conf`	Energy-Effcient Scheduling for Autonomous Mobile Robots. VLSI-SoC Jeff Brateman, Changjiu Xian, Yung-Hsiang Lu
2006	A*	`conf`	Energy-efficient Mobile Robot Exploration. ICRA Yongguo Mei, Yung-Hsiang Lu, C. S. George Lee, Y. Charlie Hu
2006	—	`conf`	Frequency and Speed Setting for Energy Conservation in Autonomous Mobile Robots. VLSI-SoC (Selected Papers) Jeff Brateman, Changjiu Xian, Yung-Hsiang Lu
2006	J	`jnl`	Joint Power Management of Memory and Disk Under Performance Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Le Cai, Nathaniel Pettis, Yung-Hsiang Lu
2006	C	`conf`	Low-power buffer management using hybrid control. ACC Jason Ridenour, Jianghai Hu, Yung-Hsiang Lu
2006	A	`conf`	Power reduction of multiple disks using dynamic cache resizing and speed control. ISLPED Le Cai, Yung-Hsiang Lu
2006	J	`jnl`	Program Counter-Based Prediction Techniques for Dynamic Power Management. IEEE Trans. Computers Chris Gniady, Ali Raza Butt, Y. Charlie Hu, Yung-Hsiang Lu
2006	—	`conf`	Replacing Failed Sensor Nodes by Mobile Robots. ICDCS Workshops Yongguo Mei, Changjiu Xian, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu
2006	—	`conf`	Resource-driven content adaptation. Computational Imaging Yung-Hsiang Lu, David S. Ebert, Edward J. Delp
2006	A*	`conf`	Simultaneous Localization and Mapping with Environmental Structure Prediction. ICRA H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Y. Charlie Hu
2006	J	`jnl`	Statistically Optimal Dynamic Power Management for Streaming Data. IEEE Trans. Computers Nathaniel Pettis, Le Cai, Yung-Hsiang Lu
2005	A*	`conf`	An Efficient Group Communication Protocol for Mobile Robots. ICRA Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu
2005	—	`conf`	Buffer Management for Power Reduction Using Hybrid Control. CDC/ECC Jianghai Hu, Yung-Hsiang Lu
2005	A*	`conf`	Deployment Strategy for Mobile Robots with Energy and Timing Constraints. ICRA Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee
2005	A*	`conf`	Efficient Unicast Messaging for Mobile Robots. ICRA Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu
2005	J	`jnl`	Energy management using buffer memory for streaming data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Le Cai, Yung-Hsiang Lu
2005	A	`conf`	Joint Power Management of Memory and Disk. DATE Le Cai, Yung-Hsiang Lu
2005	A	`conf`	Reducing the number of mobile sensors for coverage tasks. IROS Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee
2004	A	`conf`	A computational efficient SLAM algorithm based on logarithmic-map partitioning. IROS H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Yu Charlie Hu
2004	C	`conf`	An overview of problems in image-based location awareness and navigation. VCIP Yung-Hsiang Lu, Edward J. Delp
2004	A	`conf`	Determining the fleet size of mobile robots with energy constraints. IROS Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee
2004	A	`conf`	Dynamic Power Management Using Data Buffers. DATE Le Cai, Yung-Hsiang Lu
2004	A	`conf`	Dynamic power management for streaming data. ISLPED Nathaniel Pettis, Le Cai, Yung-Hsiang Lu
2004	B	`conf`	Efficient Collection of Sensor Data in Remote Fields Using Mobile Collectors. ICCCN Yuldi Tirta, Zhiyuan Li, Yung-Hsiang Lu, Saurabh Bagchi
2004	A*	`conf`	Energy-efficient Motion Planning for Mobile Robots. ICRA Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee
2004	A*	`conf`	Energy-time-efficient Adaptive Dispatching Algorithms for Ant-like Robot Systems. ICRA H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Y. Charlie Hu
2004	—	`conf`	Improving FSM evolution with progressive fitness functions. ACM Great Lakes Symposium on VLSI Jason W. Horihan, Yung-Hsiang Lu
2004	A*	`conf`	Program Counter Based Techniques for Dynamic Power Management. HPCA Chris Gniady, Y. Charlie Hu, Yung-Hsiang Lu
2004	A*	`conf`	Supporting many-to-one Communication in Mobile Multi-robot ad hoc Sensing Networks. ICRA Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu
2002	J	`jnl`	Dynamic Power Management for Nonstationary Service Requests. IEEE Trans. Computers Eui-Young Chung, Luca Benini, Alessandro Bogliolo, Yung-Hsiang Lu, Giovanni De Micheli
2002	J	`jnl`	Dynamic frequency scaling with buffer insertion for mixed workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli
2002	J	`jnl`	Power-aware operating systems for interactive systems. IEEE Trans. Very Large Scale Integr. Syst. Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli
2001	J	`jnl`	Comparing System-Level Power Management Policies. IEEE Des. Test Comput. Yung-Hsiang Lu, Giovanni De Micheli
2000	—	`conf`	Low-power task scheduling for multiple devices. CODES Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli
2000	A	`conf`	Operating-system directed power reduction. ISLPED Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli
2000	A	`conf`	Quantitative Comparison of Power Management Algorithms. DATE Yung-Hsiang Lu, Eui-Young Chung, Tajana Simunic, Giovanni De Micheli, Luca Benini
2000	—	`conf`	Requester-Aware Power Reduction. ISSS Yung-Hsiang Lu, Giovanni De Micheli, Luca Benini
1999	—	`conf`	Adaptive Hard Disk Power Management on Personal Computers. Great Lakes Symposium on VLSI Yung-Hsiang Lu, Giovanni De Micheli
1999	—	`conf`	Software controlled power management. CODES Yung-Hsiang Lu, Tajana Simunic, Giovanni De Micheli