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Yung-Hsiang Lu

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affiliation: Purdue University, West Lafayette, USA

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2023
[j45]
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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): 59-69 (2023)
[j44]
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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): 28-37 (2023)
[j43]
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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): 53-61 (2023)
2022
[j42]
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George K. Thiruvathukal, Yung-Hsiang Lu:
Efficient Computer Vision for Embedded Systems. Computer 55(4): 15-19 (2022)
[j41]
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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): 8-16 (2022)
[j40]
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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): 15:1-15:25 (2022)
2021
[j39]
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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): 40-53 (2021)
[j38]
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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): 1:1-1:35 (2021)
2019
[j37]
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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): 30-40 (2019)
[j36]
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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): 411-421 (2019)
[j35]
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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): 31-41 (2019)
[j34]
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Yung-Hsiang Lu:
Low-power image recognition. Nat. Mach. Intell. 1(4): 199 (2019)
[j33]
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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): 935-948 (2019)
2018
[j32]
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Yung-Hsiang Lu, Alexander C. Berg, Yiran Chen:
Low-Power Image Recognition Challenge. AI Mag. 39(2): 87-88 (2018)
2016
[j31]
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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): 14:1-14:22 (2016)
2015
[j30]
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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): 54-62 (2015)
2014
[j29]
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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)
[j28]
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Martin Dimitrov, Yung-Hsiang Lu, Chia-Lin Yang:
Guest Editors' Introduction: Cloud Computing for Embedded Systems. IEEE Des. Test 31(3): 6-7 (2014)
[j27]
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Srikar Bhagavatula, Byunghoo Jung, Yung-Hsiang Lu:
Real-Time Power Sensors for Intelligent Power Management and Beyond. IEEE Des. Test 31(4): 27-35 (2014)
2013
[j26]
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  - journals/monet/KumarLLB13
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Karthik Kumar, Jibang Liu, Yung-Hsiang Lu, Bharat K. Bhargava:
A Survey of Computation Offloading for Mobile Systems. Mob. Networks Appl. 18(1): 129-140 (2013)
[j25]
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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): 31:1-31:30 (2013)
2012
[j24]
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Karthik Kumar, Yamini Nimmagadda, Yung-Hsiang Lu:
Energy Conservation for Image Retrieval on Mobile Systems. ACM Trans. Embed. Comput. Syst. 11(3): 66:1-66:22 (2012)
[j23]
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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): 1:1-1:2 (2012)
2011
[j22]
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  - journals/computer/LuQBC11
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Yung-Hsiang Lu, Qinru Qiu, Ali Raza Butt, Kirk W. Cameron:
End-to-End Energy Management. Computer 44(11): 75-77 (2011)
2010
[j21]
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Karthik Kumar, Yung-Hsiang Lu:
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?. Computer 43(4): 51-56 (2010)
[j20]
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Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu:
Adaptation of Multimedia Presentations for Different Display Sizes in the Presence of Preferences and Temporal Constraints. IEEE Trans. Multim. 12(7): 650-664 (2010)
2009
[j19]
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Wei Zhang, Yung-Hsiang Lu, Jianghai Hu:
Optimal solutions to a class of power management problems in mobile robots. Autom. 45(4): 989-996 (2009)
[j18]
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  - journals/tc/PettisL09
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Nathaniel Pettis, Yung-Hsiang Lu:
A Homogeneous Architecture for Power Policy Integration in Operating Systems. IEEE Trans. Computers 58(7): 945-955 (2009)
2008
[j17]
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  - journals/tcad/XianLL08
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Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li:
Dynamic Voltage Scaling for Multitasking Real-Time Systems With Uncertain Execution Time. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(8): 1467-1478 (2008)
2007
[j16]
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Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu, C. S. George Lee:
CoCoA: Coordinated Cooperative Localization for Mobile Multi-Robot Ad Hoc Networks. Ad Hoc Sens. Wirel. Networks 3(4): 331-352 (2007)
[j15]
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Yongguo Mei, Changjiu Xian, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu:
Sensor replacement using mobile robots. Comput. Commun. 30(13): 2615-2626 (2007)
[j14]
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Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu:
Mobility-aware ad hoc routing protocols for networking mobile robot teams. J. Commun. Networks 9(3): 296-311 (2007)
[j13]
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Douglas Herbert, Vinaitheerthan Sundaram, Yung-Hsiang Lu, Saurabh Bagchi, Zhiyuan Li:
Adaptive correctness monitoring for wireless sensor networks using hierarchical distributed run-time invariant checking. ACM Trans. Auton. Adapt. Syst. 2(3): 8 (2007)
[j12]
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Jason Ridenour, Jianghai Hu, Nathaniel Pettis, Yung-Hsiang Lu:
Low-Power Buffer Management for Streaming Data. IEEE Trans. Circuits Syst. Video Technol. 17(2): 143-157 (2007)
[j11]
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Changjiu Xian, Le Cai, Yung-Hsiang Lu:
Power Measurement of Software Programs on Computers With Multiple I/O Components. IEEE Trans. Instrum. Meas. 56(5): 2079-2086 (2007)
[j10]
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H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Y. Charlie Hu:
P-SLAM: Simultaneous Localization and Mapping With Environmental-Structure Prediction. IEEE Trans. Robotics 23(2): 281-293 (2007)
2006
[j9]
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Chris Gniady, Ali Raza Butt, Y. Charlie Hu, Yung-Hsiang Lu:
Program Counter-Based Prediction Techniques for Dynamic Power Management. IEEE Trans. Computers 55(6): 641-658 (2006)
[j8]
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Nathaniel Pettis, Le Cai, Yung-Hsiang Lu:
Statistically Optimal Dynamic Power Management for Streaming Data. IEEE Trans. Computers 55(7): 800-814 (2006)
[j7]
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Le Cai, Nathaniel Pettis, Yung-Hsiang Lu:
Joint Power Management of Memory and Disk Under Performance Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 25(12): 2697-2711 (2006)
[j6]
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Yongguo Mei, Yung-Hsiang Lu, Yu Charlie Hu, C. S. George Lee:
Deployment of mobile robots with energy and timing constraints. IEEE Trans. Robotics 22(3): 507-522 (2006)
2005
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Le Cai, Yung-Hsiang Lu:
Energy management using buffer memory for streaming data. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 24(2): 141-152 (2005)
2002
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Eui-Young Chung, Luca Benini, Alessandro Bogliolo, Yung-Hsiang Lu, Giovanni De Micheli:
Dynamic Power Management for Nonstationary Service Requests. IEEE Trans. Computers 51(11): 1345-1361 (2002)
[j3]
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Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli:
Dynamic frequency scaling with buffer insertion for mixed workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 21(11): 1284-1305 (2002)
[j2]
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Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli:
Power-aware operating systems for interactive systems. IEEE Trans. Very Large Scale Integr. Syst. 10(2): 119-134 (2002)
2001
[j1]
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Yung-Hsiang Lu, Giovanni De Micheli:
Comparing System-Level Power Management Policies. IEEE Des. Test Comput. 18(2): 10-19 (2001)

Conference and Workshop Papers

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2024
[c107]
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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: 890-895
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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:
Securing Deep Neural Networks on Edge from Membership Inference Attacks Using Trusted Execution Environments. ISLPED 2024: 1-6
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Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. ISSTA 2024: 1466-1478
2023
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Nick Eliopoulos, Yung-Hsiang Lu:
Lightning Talk 6: Bringing Together Foundation Models and Edge Devices. DAC 2023: 1-2
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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: 2463-2475
2022
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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: 340-343
[c101]
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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: 532-537
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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: 30:1-30:6
2021
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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: 1-6
2020
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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: 42-50
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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: 3254-3258
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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: 163-168
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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: 1-6
[c94]
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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: 2955-2961
2019
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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: 154-157
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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: 393-398
2018
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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: 700-703
[c90]
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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: 69-74
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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: 112-117
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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: 368-371
2017
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Kent Gauen, Rohit Rangan, Anup Mohan, Yung-Hsiang Lu, Wei Liu, Alexander C. Berg:
Low-power image recognition challenge. ASP-DAC 2017: 99-104
[c86]
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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: 5-12
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Bo Fu, Anup Mohan, Yifan Li, Sanghyun Cho, Kent Gauen, Yung-Hsiang Lu:
Parallel video processing using embedded computers. GlobalSIP 2017: 26-30
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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: 346-355
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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: 1-4
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Yung-Hsiang Lu, Andrea Cavallaro, Catherine Crump, Gerald Friedland, Keith Winstein:
Privacy Protection in Online Multimedia. ACM Multimedia 2017: 457-459
2016
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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: 176-183
[c80]
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Saurav Nanda, Thomas J. Hacker, Yung-Hsiang Lu:
Predictive Model for Dynamically Provisioning Resources in Multi-Tier Web Applications. CloudCom 2016: 326-335
[c79]
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Youngsol Koh, Yung-Hsiang Lu:
Large-scale Image Processing using Amazon EC2 Spot Instances. IQSP 2016: 1-6
2015
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Wei-Tsung Su, Yung-Hsiang Lu, Ahmed S. Kaseb:
Harvest the Information from Multimedia Big Data in Global Camera Networks. BigMM 2015: 184-191
[c77]
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  - conf/ccbd/BerryLS15
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Everett Berry, Yung-Hsiang Lu, Wei-Tsung Su:
Using Global Camera Networks to Create Multimedia Content. CCBD 2015: 231-234
[c76]
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  - conf/ccbd/KulkarniL15
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Milind Kulkarni, Yung-Hsiang Lu:
Beyond Big Data - Rethinking Programming Languages for Non-persistent Data. CCBD 2015: 245-251
[c75]
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Ahmed S. Kaseb, Anup Mohan, Yung-Hsiang Lu:
Cloud Resource Management for Image and Video Analysis of Big Data from Network Cameras. CCBD 2015: 287-294
[c74]
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  - conf/cimaging/PramounCLCALD15
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Thitiporn Pramoun, Jeehyun Choe, He Li, Qingshuang Chen, Thumrongrat Amornraksa, Yung-Hsiang Lu, Edward J. Delp:
Webcam classification using simple features. Computational Imaging 2015: 94010G
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Wenyi Chen, Yung-Hsiang Lu, Thomas J. Hacker:
Adaptive Cloud Resource Allocation for Analysing Many Video Streams. CloudCom 2015: 17-24
[c72]
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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: 94080E
[c71]
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Ahmed S. Kaseb, Wenyi Chen, Ganesh Gingade, Yung-Hsiang Lu:
Worldview and route planning using live public cameras. IMAWM 2015: 94080I
[c70]
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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: 15-18
[c69]
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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: 927-932
[c68]
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Wei-Tsung Su, Kyle McNulty, Yung-Hsiang Lu:
Teaching large-scale image processing over worldwide network cameras. DSP 2015: 726-729
[c67]
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  - conf/mm/BatstoneEHLW15
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Joanna Batstone, Touradj Ebrahimi, Tiejun Huang, Yung-Hsiang Lu, Yonggang Wen:
Opportunities and Challenges of Global Network Cameras. ACM Multimedia 2015: 47-48
[c66]
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S. M. Iftekharul Alam, Sonia Fahmy, Yung-Hsiang Lu:
LiTMaS: Live road traffic maps for smartphones. WOWMOM 2015: 1-6
2014
[c65]
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  - conf/cloudcom/HackerL14
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Thomas J. Hacker, Yung-Hsiang Lu:
An Instructional Cloud-Based Testbed for Image and Video Analytics. CloudCom 2014: 859-862
[c64]
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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: 340-344
[c63]
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Jeehyun Choe, Thitiporn Pramoun, Thumrongrat Amornraksa, Yung-Hsiang Lu, Edward J. Delp:
Image-based geographical location estimation using web cameras. SSIAI 2014: 73-76
2013
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  - conf/ipps/BrownLM13
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Cordelia M. Brown, Yung-Hsiang Lu, Samuel P. Midkiff:
Introducing Parallel Programming in Undergraduate Curriculum. IPDPS Workshops 2013: 1269-1274
2012
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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: 279-284
2011
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  - conf/acssc/SayilirLPHJ11
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Serkan Sayilir, Yung-Hsiang Lu, Dimitrios Peroulis, Y. Charlie Hu, Byunghoo Jung:
Collaborative beamforming in wireless sensor networks. ACSCC 2011: 1211-1215
[c59]
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  - conf/icccn/KumarFNL11
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Karthik Kumar, Jing Feng, Yamini Nimmagadda, Yung-Hsiang Lu:
Resource Allocation for Real-Time Tasks Using Cloud Computing. ICCCN 2011: 1-7
[c58]
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Karthik Kumar, Kshitij A. Doshi, Martin Dimitrov, Yung-Hsiang Lu:
Memory energy management for an enterprise decision support system. ISLPED 2011: 277-282
[c57]
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  - conf/lctrts/WangLLFBL11
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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: 91-100
2010
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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: 1-6
[c55]
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Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu, C. S. George Lee:
Real-time moving object recognition and tracking using computation offloading. IROS 2010: 2449-2455
[c54]
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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: 1504-1507
[c53]
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Jibang Liu, Karthik Kumar, Yung-Hsiang Lu:
Tradeoff between energy savings and privacy protection in computation offloading. ISLPED 2010: 213-218
[c52]
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  - conf/secon/FengCSLJPH10
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Jing Feng, Che-Wei Chang, Serkan Sayilir, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis, Y. Charlie Hu:
Energy-Efficient Transmission for Beamforming in Wireless Sensor Networks. SECON 2010: 172-180
2009
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Karthik Kumar, Yamini Nimmagadda, Yung-Hsiang Lu:
Establishing Trust for Computation Offloading. ICCCN 2009: 1-6
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Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu:
Preference-based adaptation of multimedia presentations for different display sizes. ICME 2009: 978-981
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Yamini Nimmagadda, Karthik Kumar, Yung-Hsiang Lu:
Energy-efficient image compression in mobile devices for wireless transmission. ICME 2009: 1278-1281
[c48]
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Yu-Ju Hong, Karthik Kumar, Yung-Hsiang Lu:
Energy Efficient Content-based Image Retrieval for Mobile Systems. ISCAS 2009: 1673-1676
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Jing Feng, Yung-Hsiang Lu, Byunghoo Jung, Dimitrios Peroulis:
Energy Efficient Collaborative Beamforming in Wireless Sensor Networks. ISCAS 2009: 2161-2164
[c46]
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Karthik Kumar, Yamini Nimmagadda, Yung-Hsiang Lu:
Ranking servers based on energy savings for computation offloading. ISLPED 2009: 267-272
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Matthew Tan Creti, Matthew Beaman, Saurabh Bagchi, Zhiyuan Li, Yung-Hsiang Lu:
Multigrade Security Monitoring for Ad-Hoc Wireless Networks. MASS 2009: 342-352
2008
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Karthik Kumar, Yamini Nimmagadda, Yu-Ju Hong, Yung-Hsiang Lu:
Energy conservation by adaptive feature loading for mobile content-based image retrieval. ISLPED 2008: 153-158
[c43]
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Vinaitheerthan Sundaram, Saurabh Bagchi, Yung-Hsiang Lu, Zhiyuan Li:
SeNDORComm: An Energy-Efficient Priority-Driven Communication Layer for Reliable Wireless Sensor Networks. SRDS 2008: 23-32
2007
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Wei Zhang, Jianghai Hu, Yung-Hsiang Lu:
Optimal Power Modes Scheduling Using Hybrid Systems. ACC 2007: 2781-2786
[c41]
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Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li:
Energy-Aware Scheduling for Real-Time Multiprocessor Systems with Uncertain Task Execution Time. DAC 2007: 664-669
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Nathaniel Pettis, Yung-Hsiang Lu:
Improving quality-of-service of file migration policies in high-performance servers. ICPADS 2007: 1-8
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Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li:
Adaptive computation offloading for energy conservation on battery-powered systems. ICPADS 2007: 1-8
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H. Jacky Chang, C. S. George Lee, Y. Charlie Hu, Yung-Hsiang Lu:
Multi-robot SLAM with topological/metric maps. IROS 2007: 1467-1472
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Changjiu Xian, Yung-Hsiang Lu, Zhiyuan Li:
A programming environment with runtime energy characterization for energy-aware applications. ISLPED 2007: 141-146
2006
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Jason Ridenour, Jianghai Hu, Yung-Hsiang Lu:
Low-power buffer management using hybrid control. ACC 2006: 1-6
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Yung-Hsiang Lu, David S. Ebert, Edward J. Delp:
Resource-driven content adaptation. Computational Imaging 2006: 60650L
[c34]
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Nathaniel Pettis, Jason Ridenour, Yung-Hsiang Lu:
Automatic run-time selection of power policies for operating systems. DATE 2006: 508-513
[c33]
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Changjiu Xian, Yung-Hsiang Lu:
Energy reduction by workload adaptation in a multi-process environment. DATE 2006: 514-519
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Changjiu Xian, Yung-Hsiang Lu:
Dynamic voltage scaling for multitasking real-time systems with uncertain execution time. ACM Great Lakes Symposium on VLSI 2006: 392-397
[c31]
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Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu, C. S. George Lee:
CoCoA: Coordinated Cooperative Localization for Mobile Multi-Robot Ad Hoc Networks. ICDCS Workshops 2006: 9
[c30]
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Yongguo Mei, Changjiu Xian, Saumitra M. Das, Y. Charlie Hu, Yung-Hsiang Lu:
Replacing Failed Sensor Nodes by Mobile Robots. ICDCS Workshops 2006: 87
[c29]
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Yongguo Mei, Yung-Hsiang Lu, C. S. George Lee, Y. Charlie Hu:
Energy-efficient Mobile Robot Exploration. ICRA 2006: 505-511
[c28]
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H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Y. Charlie Hu:
Simultaneous Localization and Mapping with Environmental Structure Prediction. ICRA 2006: 4069-4074
[c27]
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Le Cai, Yung-Hsiang Lu:
Power reduction of multiple disks using dynamic cache resizing and speed control. ISLPED 2006: 186-190
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Douglas Herbert, Yung-Hsiang Lu, Saurabh Bagchi, Zhiyuan Li:
Detection and Repair of Software Errors in Hierarchical Sensor Networks. SUTC (1) 2006: 403-410
[c25]
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Jeff Brateman, Changjiu Xian, Yung-Hsiang Lu:
Frequency and Speed Setting for Energy Conservation in Autonomous Mobile Robots. VLSI-SoC (Selected Papers) 2006: 197-216
[c24]
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Jeff Brateman, Changjiu Xian, Yung-Hsiang Lu:
Energy-Effcient Scheduling for Autonomous Mobile Robots. VLSI-SoC 2006: 361-366
2005
[c23]
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Jianghai Hu, Yung-Hsiang Lu:
Buffer Management for Power Reduction Using Hybrid Control. CDC/ECC 2005: 6997-7002
[c22]
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Le Cai, Yung-Hsiang Lu:
Joint Power Management of Memory and Disk. DATE 2005: 86-91
[c21]
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Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu:
An Efficient Group Communication Protocol for Mobile Robots. ICRA 2005: 87-92
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Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu:
Efficient Unicast Messaging for Mobile Robots. ICRA 2005: 93-98
[c19]
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Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee:
Deployment Strategy for Mobile Robots with Energy and Timing Constraints. ICRA 2005: 2816-2821
[c18]
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Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee:
Reducing the number of mobile sensors for coverage tasks. IROS 2005: 1426-1431
2004
[c17]
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Le Cai, Yung-Hsiang Lu:
Dynamic Power Management Using Data Buffers. DATE 2004: 526-531
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Jason W. Horihan, Yung-Hsiang Lu:
Improving FSM evolution with progressive fitness functions. ACM Great Lakes Symposium on VLSI 2004: 123-126
[c15]
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Chris Gniady, Y. Charlie Hu, Yung-Hsiang Lu:
Program Counter Based Techniques for Dynamic Power Management. HPCA 2004: 24-35
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Yuldi Tirta, Zhiyuan Li, Yung-Hsiang Lu, Saurabh Bagchi:
Efficient Collection of Sensor Data in Remote Fields Using Mobile Collectors. ICCCN 2004: 515-520
[c13]
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Saumitra M. Das, Y. Charlie Hu, C. S. George Lee, Yung-Hsiang Lu:
Supporting many-to-one Communication in Mobile Multi-robot ad hoc Sensing Networks. ICRA 2004: 659-664
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H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Y. Charlie Hu:
Energy-time-efficient Adaptive Dispatching Algorithms for Ant-like Robot Systems. ICRA 2004: 3294-3299
[c11]
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Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee:
Energy-efficient Motion Planning for Mobile Robots. ICRA 2004: 4344-4349
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H. Jacky Chang, C. S. George Lee, Yung-Hsiang Lu, Yu Charlie Hu:
A computational efficient SLAM algorithm based on logarithmic-map partitioning. IROS 2004: 1041-1046
[c9]
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Yongguo Mei, Yung-Hsiang Lu, Y. Charlie Hu, C. S. George Lee:
Determining the fleet size of mobile robots with energy constraints. IROS 2004: 1420-1425
[c8]
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Nathaniel Pettis, Le Cai, Yung-Hsiang Lu:
Dynamic power management for streaming data. ISLPED 2004: 62-65
[c7]
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Yung-Hsiang Lu, Edward J. Delp:
An overview of problems in image-based location awareness and navigation. VCIP 2004
2000
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Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli:
Low-power task scheduling for multiple devices. CODES 2000: 39-43
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Yung-Hsiang Lu, Eui-Young Chung, Tajana Simunic, Giovanni De Micheli, Luca Benini:
Quantitative Comparison of Power Management Algorithms. DATE 2000: 20-26
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Yung-Hsiang Lu, Luca Benini, Giovanni De Micheli:
Operating-system directed power reduction. ISLPED 2000: 37-42
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Yung-Hsiang Lu, Giovanni De Micheli, Luca Benini:
Requester-Aware Power Reduction. ISSS 2000: 18-24
1999
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Yung-Hsiang Lu, Tajana Simunic, Giovanni De Micheli:
Software controlled power management. CODES 1999: 157-161
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Yung-Hsiang Lu, Giovanni De Micheli:
Adaptive Hard Disk Power Management on Personal Computers. Great Lakes Symposium on VLSI 1999: 50-

Informal and Other Publications

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2024
[i24]
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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 abs/2403.07153 (2024)
[i23]
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  - journals/corr/abs-2407-05941
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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 abs/2407.05941 (2024)
[i22]
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  - journals/corr/abs-2409-07613
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Purvish Jajal, Nick John Eliopoulos, Benjamin Shiue-Hal Chou, George K. Thiravathukal, James C. Davis, Yung-Hsiang Lu:
Token Turing Machines are Efficient Vision Models. CoRR abs/2409.07613 (2024)
2023
[i21]
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  - journals/corr/abs-2303-02552
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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 abs/2303.02552 (2023)
[i20]
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  - journals/corr/abs-2303-17708
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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 abs/2303.17708 (2023)
[i19]
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  - journals/corr/abs-2310-07782
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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 abs/2310.07782 (2023)
2022
[i18]
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  - journals/corr/abs-2207-10741
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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 abs/2207.10741 (2022)
[i17]
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  - journals/corr/abs-2207-13890
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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 abs/2207.13890 (2022)
2021
[i16]
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  - journals/corr/abs-2103-12286
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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 abs/2103.12286 (2021)
[i15]
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  - journals/corr/abs-2106-10588
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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 abs/2106.10588 (2021)
[i14]
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  - journals/corr/abs-2107-00821
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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 abs/2107.00821 (2021)
[i13]
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  - journals/corr/abs-2109-13356
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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 abs/2109.13356 (2021)
2020
[i12]
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  - journals/corr/abs-2003-11066
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Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal:
A Survey of Methods for Low-Power Deep Learning and Computer Vision. CoRR abs/2003.11066 (2020)
[i11]
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  - journals/corr/abs-2005-09091
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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 abs/2005.09091 (2020)
[i10]
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  - journals/corr/abs-2007-01369
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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 abs/2007.01369 (2020)
[i9]
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  - journals/corr/abs-2008-12363
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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 abs/2008.12363 (2020)
2019
[i8]
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  - journals/corr/abs-1901-06347
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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 abs/1901.06347 (2019)
[i7]
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  - journals/corr/abs-1901-06459
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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 abs/1901.06459 (2019)
[i6]
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  - journals/corr/abs-1903-06791
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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 abs/1903.06791 (2019)
[i5]
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  - journals/corr/abs-1904-06775
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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 abs/1904.06775 (2019)
[i4]
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  - journals/corr/abs-1904-07714
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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 abs/1904.07714 (2019)
2018
[i3]
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  - journals/corr/abs-1802-08176
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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 abs/1802.08176 (2018)
[i2]
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  - journals/corr/abs-1810-01732
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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 abs/1810.01732 (2018)
[i1]
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  - journals/corr/abs-1812-11901
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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 abs/1812.11901 (2018)

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