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Publication search results
found 80 matches
- 2024
- Ming-En Shih, Shih-Wei Hsieh, Ping-Yuan Tsai, Ming-Hung Lin, Pei-Kuei Tsung, En-Jui Chang, Jenwei Liang, Shu-Hsin Chang, Chung-Lun Huang, You-Yu Nian, Zhe Wan, Sushil Kumar, Cheng-Xin Xue, Gajanan Jedhe, Hidehiro Fujiwara, Haruki Mori, Chih-Wei Chen, Po-Hua Huang, Chih-Feng Juan, Chung-Yi Chen, Tsung-Yao Lin, Ch Wang, Chih-Cheng Chen, Kevin Jou:
20.1 NVE: A 3nm 23.2TOPS/W 12b-Digital-CIM-Based Neural Engine for High-Resolution Visual-Quality Enhancement on Smart Devices. ISSCC 2024: 360-362 - Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula:
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. NSDI 2024 - Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng:
Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR abs/2402.07792 (2024) - 2023
- Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023) - Andrea L. Hartzler, Serena Jinchen Xie, Patrick Wedgeworth, Carolin Spice, Kevin Lybarger, Brian R Wood, Herbert Duber, Gary Hsieh, Angad P. Singh, Kase Cragg, Shoma Goomansingh, Searetha Simons, J. J. Wong, Angeilea' Yancey-Watson:
Integrating patient voices into the extraction of social determinants of health from clinical notes: ethical considerations and recommendations. J. Am. Medical Informatics Assoc. 30(8): 1456-1462 (2023) - Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons:
Federated Learning under Distributed Concept Drift. AISTATS 2023: 5834-5853 - Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula:
Securing Public Clouds using Dynamic Communication Graphs. HotNets 2023: 272-279 - Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula:
Enhancing Network Management Using Code Generated by Large Language Models. HotNets 2023: 196-204 - Mehrdad Khani Shirkoohi, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl:
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. NSDI 2023: 917-932 - Gene Eu Jan, Kevin Fung, Chaomin Luo, Hui-Ching Hsieh:
On the Complete Area Coverage Problem of Painting Robots. ICSI (2) 2023: 400-413 - Pooria Namyar, Behnaz Arzani, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan:
Mitigating the Performance Impact of Network Failures in Public Clouds. CoRR abs/2305.13792 (2023) - Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula:
Enhancing Network Management Using Code Generated by Large Language Models. CoRR abs/2308.06261 (2023) - 2022
- Cheng-Wen Wu, Ming-Der Shieh, Jenn-Jier James Lien, Jar-Ferr Yang, Wei-Ta Chu, Tsang-Hai Huang, Han-Chuan Hsieh, Hung-Ta Chiu, Kuo-Cheng Tu, Yen-Ting Chen, Shian-Yu Lin, Jia-Jun Hu, Chen-Huan Lin, Cheng-Siang Jheng:
Enhancing Fan Engagement in a 5G Stadium With AI-Based Technologies and Live Streaming. IEEE Syst. J. 16(4): 6590-6601 (2022) - Jane Hsieh, Yili Hong, Gordon Burtch, Haiyi Zhu:
A Little Too Personal: Effects of Standardization versus Personalization on Job Acquisition, Work Completion, and Revenue for Online Freelancers. CHI 2022: 510:1-510:11 - Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi:
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys 2022 - Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI 2022: 119-135 - Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra:
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR abs/2202.01267 (2022) - Jane Hsieh, Yili Hong, Gordon Burtch, Haiyi Zhu:
A Little Too Personal: Effects of Standardization versus Personalization on Job Acquisition, Work Completion, and Revenue for Online Freelancers. CoRR abs/2204.04339 (2022) - Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons:
Federated Learning under Distributed Concept Drift. CoRR abs/2206.00799 (2022) - Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - 2021
- Shun-Yung Kevin Wang, Ming-Li Hsieh:
Digital Robbery - ATM Hacking and Implications. Springer Briefs in Cybersecurity, Springer 2021, ISBN 978-3-030-70705-7, pp. 1-53 - Behnaz Arzani, Kevin Hsieh, Haoxian Chen:
Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. HotNets 2021: 53-60 - Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. HotNets 2021: 38-44 - Behnaz Arzani, Kevin Hsieh, Haoxian Chen:
Interpret-able feedback for AutoML systems. CoRR abs/2102.11267 (2021) - Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. CoRR abs/2110.05554 (2021) - 2020
- Keith Mitchell, Jaqueline J. Brito, Igor Mandric, Qiaozhen Wu, Sergey Knyazev, Sei Chang, Lana S. Martin, Aaron Karlsberg, Ekaterina Gerasimov, Russell Littman, Brian L. Hill, Nicholas C. Wu, Harry (Taegyun) Yang, Kevin Hsieh, Linus Chen, Eli Littman, Taylor Shabani, German Enik, Douglas Yao, Ren Sun, Jan Schroeder, Eleazar Eskin, Alex Zelikovsky, Pavel Skums, Mihai Pop, Serghei Mangul:
Benchmarking of computational error-correction methods for next-generation sequencing data. BCB 2020: 63:1 - Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. ICML 2020: 4387-4398 - Chi-Cheng Ju, Tsu-Ming Liu, Yung-Chang Chang, Chih-Ming Wang, Chang-Hung Tsai, Ying-Jui Chen, Tung-Hsing Wu, Hue-Min Lin, Han-Liang Chou, Abrams Chen, Andy-HB Wang, W. C. Gu, Wayne Hsieh, Jing-Ying Chang, Shou-Chun Liao, Chen-Tsai Ho, Larry Chu, Sokonisa Wei, Chi-Hui Wang, Kevin Jou:
21.3 A 5.69mm2 0.98nJ/Pixel Image-Processing SoC with 24b High-Dynamic-Range and Multiple Sensor Format Support for Automotive Applications. ISSCC 2020: 326-328 - Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. CoRR abs/2012.10557 (2020) - 2019
- Kai-I Chuang, Kevin Li-Chun Hsieh, Cheng-Yu Chen:
Hypoglycemic encephalopathy mimicking acute ischemic stroke in clinical presentation and magnetic resonance imaging: a case report. BMC Medical Imaging 19(1): 11:1-11:5 (2019)
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