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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]Luyang Liu, Shaochuan Wu
, Qiang Ye, Yongkui Ma:
Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence. IEEE Internet Things J. 11(4): 7024-7039 (2024)- [j14]Ke Liu, Haonan Tong, Zhongxiang Sun, Zhixin Ren, Guangkui Huang, Hongyin Zhu, Luyang Liu, Qunyang Lin, Chuang Zhang:
Integrating FPGA-based hardware acceleration with relational databases. Parallel Comput. 119: 103064 (2024) - [j13]Luyang Liu, Hiroki Nishikawa, Jinjia Zhou, Ittetsu Taniguchi, Takao Onoye:
Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing. Sensors 24(13): 4348 (2024) - [j12]Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xiaoyan Gao, Xian-Ling Mao:
Can Pretrained English Language Models Benefit Non-English NLP Systems in Low-Resource Scenarios? IEEE ACM Trans. Audio Speech Lang. Process. 32: 1061-1074 (2024) - [i17]Syed Irfan Ali Meerza, Luyang Liu, Jiaxin Zhang, Jian Liu:
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning. CoRR abs/2401.03562 (2024) - [i16]Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi:
Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models. CoRR abs/2401.06432 (2024) - [i15]Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie:
User-LLM: Efficient LLM Contextualization with User Embeddings. CoRR abs/2402.13598 (2024) - [i14]Warren R. Morningstar, Alex Bijamov, Chris Duvarney, Luke Friedman, Neha Mukund Kalibhat, Luyang Liu, Philip Andrew Mansfield, Renan A. Rojas-Gomez, Karan Singhal, Bradley Green, Sushant Prakash:
Augmentations vs Algorithms: What Works in Self-Supervised Learning. CoRR abs/2403.05726 (2024) - [i13]Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - [i12]Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green:
UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches. CoRR abs/2408.16966 (2024) - [i11]Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie:
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. CoRR abs/2409.04421 (2024) - 2023
- [j11]Bo Han, Tristan Braud, Mario Di Francesco, Maria Gorlatova, Luyang Liu, Gábor Sörös, Pengyuan Zhou:
Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse. IEEE Netw. 37(4): 10-11 (2023) - [j10]Xuanhe Zhou, Guoliang Li, Jianhua Feng, Luyang Liu, Wei Guo:
Grep: A Graph Learning Based Database Partitioning System. Proc. ACM Manag. Data 1(1): 94:1-94:24 (2023) - [c33]Yue Cui, Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense. AsiaCCS 2023: 80-94 - [c32]Luyang Liu, Qunyang Lin, Haonan Tong, Hongyin Zhu, Ke Liu, Min Wang, Chuang Zhang:
Neural Personalized Topic Modeling for Mining User Preferences on Social Media. CIKM 2023: 1545-1555 - [c31]Luyang Liu, Shaochuan Wu, Yongkui Ma:
Superposition Coding in Cell-Free Massive MIMO with the Coexistence of eMBB and URLLC. GLOBECOM (Workshops) 2023: 1511-1516 - [c30]Luyang Liu, Hiroki Nishikawa, Jinjia Zhou, Ittetsu Taniguchi, Takao Onoye:
Adaptive Sampling for Computer Vision-Oriented Compressive Sensing. MMAsia 2023: 98:1-98:5 - [i10]Yue Cui, Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense. CoRR abs/2304.05135 (2023) - [i9]Neha Mukund Kalibhat, Warren R. Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield:
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. CoRR abs/2312.02205 (2023) - 2022
- [j9]Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang:
Improving neural topic modeling via Sinkhorn divergence. Inf. Process. Manag. 59(3): 102864 (2022) - [j8]Shaochuan Wu, Luyang Liu, Wenbin Zhang, Weixiao Meng, Qiang Ye, Yongkui Ma:
Revenue-Maximizing Resource Allocation for Multitenant Cell-Free Massive MIMO Networks. IEEE Syst. J. 16(2): 3410-3421 (2022) - [c29]Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu:
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. CVPR 2022: 10122-10132 - [c28]Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
Fair and Privacy-Preserving Alzheimer's Disease Diagnosis Based on Spontaneous Speech Analysis via Federated Learning. EMBC 2022: 1362-1365 - [c27]Yue Cui, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
Privacy-preserving Speech-based Depression Diagnosis via Federated Learning. EMBC 2022: 1371-1374 - [c26]Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Shifu Li, Tianqing Wang, Jianhua Feng:
AutoIndex: An Incremental Index Management System for Dynamic Workloads. ICDE 2022: 2196-2208 - [c25]Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang:
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. NeurIPS 2022 - [c24]Luyang Liu, Shaochuan Wu, Qiang Ye, Yongkui Ma:
An AP Selection Strategy Based on Congestion Game for User-Centric Cell-Free Massive MIMO. PIMRC 2022: 1099-1104 - [i8]Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo:
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. CoRR abs/2202.01934 (2022) - [i7]Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu:
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. CoRR abs/2203.15696 (2022) - [i6]Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang:
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. CoRR abs/2212.01548 (2022) - 2021
- [j7]Matthew Abueg, Robert Hinch, Neo Wu, Luyang Liu, William J. M. Probert, Austin Wu, Paul Eastham, Yusef Shafi, Matt Rosencrantz, Michael Dikovsky, Zhao Cheng, Anel Nurtay, Lucie Abeler-Dörner, David G. Bonsall, Michael V. McConnell, Shawn O'Banion, Christophe Fraser:
Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. npj Digit. Medicine 4 (2021) - [j6]Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez:
Privacy-first health research with federated learning. npj Digit. Medicine 4 (2021) - [j5]Xuanhe Zhou, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, Kun Li, Luyang Liu:
DBMind: A Self-Driving Platform in openGauss. Proc. VLDB Endow. 14(12): 2743-2746 (2021) - [c23]Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates. ICPADS 2021: 372-379 - [c22]Luyang Liu, Marco Gruteser:
EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets. INFOCOM 2021: 1-10 - [c21]Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong Zhang:
Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. MobiCom 2021: 201-214 - [i5]Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi:
Local Adaptivity in Federated Learning: Convergence and Consistency. CoRR abs/2106.02305 (2021) - [i4]Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu:
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates. CoRR abs/2107.01477 (2021) - [i3]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i2]Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xian-Ling Mao:
Cross-Lingual Language Model Meta-Pretraining. CoRR abs/2109.11129 (2021) - 2020
- [j4]Yang Gao, Yang Wang, Luyang Liu, Yi-Di Guo, Heyan Huang:
Neural abstractive summarization fusing by global generative topics. Neural Comput. Appl. 32(9): 5049-5058 (2020) - [j3]Yang Gao, Yue Xu, Heyan Huang, Qian Liu, Linjing Wei, Luyang Liu:
Jointly Learning Topics in Sentence Embedding for Document Summarization. IEEE Trans. Knowl. Data Eng. 32(4): 688-699 (2020) - [i1]Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion:
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks. CoRR abs/2007.03113 (2020)
2010 – 2019
- 2019
- [j2]Luyang Liu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov:
SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm. IEEE Access 7: 43970-43978 (2019) - [c20]Bo-Zhou Zha, Mofei Cheng, Songhao Liu, Luyang Liu, Peiwen Sun, Mahmood Al-khassaweneh:
A New Type of ROS-Based Pedagogical Robot for Kids' Mathematics Education. EIT 2019: 491-498 - [c19]Wuyang Zhang, Sugang Li, Luyang Liu, Zhenhua Jia, Yanyong Zhang, Dipankar Raychaudhuri:
Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds. INFOCOM 2019: 1270-1278 - [c18]Luyang Liu, Hongyu Li, Marco Gruteser:
Edge Assisted Real-time Object Detection for Mobile Augmented Reality. MobiCom 2019: 25:1-25:16 - [c17]Viet Nguyen, Siddharth Rupavatharam, Luyang Liu, Richard E. Howard, Marco Gruteser:
HandSense: capacitive coupling-based dynamic, micro finger gesture recognition. SenSys 2019: 285-297 - [c16]Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei:
Neural Variational Correlated Topic Modeling. WWW 2019: 1142-1152 - 2018
- [c15]Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu:
Task-oriented Word Embedding for Text Classification. COLING 2018: 2023-2032 - [c14]Luyang Liu, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Marco Gruteser:
Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering. MobiSys 2018: 68-80 - [c13]Çagdas Karatas, Luyang Liu, Marco Gruteser, Richard E. Howard:
Single-Sensor Motion and Orientation Tracking in a Moving Vehicle. SECON 2018: 181-189 - [c12]Hongyu Li, Hairong Wang, Luyang Liu, Marco Gruteser:
Automatic Unusual Driving Event Identification for Dependable Self-Driving. SenSys 2018: 15-27 - 2017
- [c11]Ruiguang Zhong, Manni Wang, Zijian Chen, Luyang Liu, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Thomas Moscibroda:
On Building a Programmable Wireless High-Quality Virtual Reality System Using Commodity Hardware. APSys 2017: 7:1-7:7 - [c10]Luyang Liu:
Enabling Large-Scale Road Data Acquisition with an Easy-to-Install and Sustainable Setup. MobiSys PhDForum 2017: 3-4 - [c9]Luyang Liu, Hongyu Li, Jian Liu, Çagdas Karatas, Yan Wang, Marco Gruteser, Yingying Chen, Richard P. Martin:
BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving. MobiSys 2017: 371-384 - 2016
- [j1]Yan Wang, Yingying (Jennifer) Chen, Jie Yang, Marco Gruteser, Richard P. Martin, Hongbo Liu, Luyang Liu, Çagdas Karatas:
Determining Driver Phone Use by Exploiting Smartphone Integrated Sensors. IEEE Trans. Mob. Comput. 15(8): 1965-1981 (2016) - [c8]Çagdas Karatas, Luyang Liu, Hongyu Li, Jian Liu, Yan Wang, Sheng Tan, Jie Yang, Yingying Chen, Marco Gruteser, Richard P. Martin:
Leveraging wearables for steering and driver tracking. INFOCOM 2016: 1-9 - [c7]Hongyu Li, Luyang Liu, Çagdas Karatas, Jian Liu, Marco Gruteser, Yingying Chen, Yan Wang, Richard P. Martin, Jie Yang:
Towards safer texting while driving through stop time prediction. CarSys@MobiCom 2016: 14-21 - [c6]Çagdas Karatas, Hongyu Li, Luyang Liu:
Toward detection of unsafe driving with inertial head-mounted sensors. S3@MobiCom 2016: 45-47 - 2015
- [c5]Luyang Liu, Çagdas Karatas, Hongyu Li, Sheng Tan, Marco Gruteser, Jie Yang, Yingying Chen, Richard P. Martin:
Toward Detection of Unsafe Driving with Wearables. WearSys@MobiSys 2015: 27-32 - [c4]Luyang Liu, Zhen Yang:
BJUT at TREC 2015 Microblog Track: Real-Time Filtering Using Knowledge Base. TREC 2015 - 2010
- [c3]Xiaoping Li, Luyang Liu, Xiaoxing Lv:
Application of Multi-target Pose Estimation in Wearable Monitoring System. APWCS 2010: 94-98 - [c2]Xiaoxing Lv, Xiaoping Li, Luyang Liu, Yinxiang Li:
Research of Opportunistic Routing Protocol in Wearable Sensor Network. APWCS 2010: 99-103 - [c1]Xiaoping Li, Xiaoxing Lv, Luyang Liu, Wenbo Mei:
DiffServ-aware MPLS traffic engineering. ICIS 2010: 9-12
Coauthor Index
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