Luyang Liu

According to our database, Luyang Liu authored at least 62 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing.

Luyang Liu, Hiroki Nishikawa, Jinjia Zhou, Ittetsu Taniguchi, Takao Onoye

Sensors, July, 2024

Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence.

Luyang Liu, Shaochuan Wu, Qiang Ye, Yongkui Ma

IEEE Internet Things J., February, 2024

Can Pretrained English Language Models Benefit Non-English NLP Systems in Low-Resource Scenarios?

Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xiaoyan Gao, Xian-Ling Mao

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Integrating FPGA-based hardware acceleration with relational databases.

Ke Liu, Haonan Tong, Zhongxiang Sun, Zhixin Ren, Guangkui Huang, Hongyin Zhu, Luyang Liu, Qunyang Lin, Chuang Zhang

Parallel Comput., 2024

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs.

Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie

CoRR, 2024

UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches.

Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green

CoRR, 2024

Capabilities of Gemini Models in Medicine.

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

CoRR, 2024

Augmentations vs Algorithms: What Works in Self-Supervised Learning.

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

CoRR, 2024

User-LLM: Efficient LLM Contextualization with User Embeddings.

Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie

CoRR, 2024

Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models.

Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi

CoRR, 2024

GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning.

Syed Irfan Ali Meerza, Luyang Liu, Jiaxin Zhang, Jian Liu

CoRR, 2024

Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models.

Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Grep: A Graph Learning Based Database Partitioning System.

Xuanhe Zhou, Guoliang Li, Jianhua Feng, Luyang Liu, Wei Guo

Proc. ACM Manag. Data, 2023

Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse.

Bo Han, Tristan Braud, Mario Di Francesco, Maria Gorlatova, Luyang Liu, Gábor Sörös, Pengyuan Zhou

IEEE Netw., 2023

Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations.

Neha Mukund Kalibhat, Warren R. Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield

CoRR, 2023

Adaptive Sampling for Computer Vision-Oriented Compressive Sensing.

Luyang Liu, Hiroki Nishikawa, Jinjia Zhou, Ittetsu Taniguchi, Takao Onoye

Proceedings of the ACM Multimedia Asia 2023, 2023

Superposition Coding in Cell-Free Massive MIMO with the Coexistence of eMBB and URLLC.

Luyang Liu, Shaochuan Wu, Yongkui Ma

Proceedings of the IEEE Globecom Workshops 2023, 2023

Neural Personalized Topic Modeling for Mining User Preferences on Social Media.

Luyang Liu, Qunyang Lin, Haonan Tong, Hongyin Zhu, Ke Liu, Min Wang, Chuang Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense.

Yue Cui, Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022

Revenue-Maximizing Resource Allocation for Multitenant Cell-Free Massive MIMO Networks.

Shaochuan Wu, Luyang Liu, Wenbin Zhang, Weixiao Meng, Qiang Ye, Yongkui Ma

IEEE Syst. J., 2022

Improving neural topic modeling via Sinkhorn divergence.

Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang

Inf. Process. Manag., 2022

Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services.

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

CoRR, 2022

An AP Selection Strategy Based on Congestion Game for User-Centric Cell-Free Massive MIMO.

Luyang Liu, Shaochuan Wu, Qiang Ye, Yongkui Ma

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction.

Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoIndex: An Incremental Index Management System for Dynamic Workloads.

Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Shifu Li, Tianqing Wang, Jianhua Feng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Fair and Privacy-Preserving Alzheimer's Disease Diagnosis Based on Spontaneous Speech Analysis via Federated Learning.

Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Privacy-preserving Speech-based Depression Diagnosis via Federated Learning.

Yue Cui, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage.

Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DBMind: A Self-Driving Platform in openGauss.

Xuanhe Zhou, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, Kun Li, Luyang Liu

Proc. VLDB Endow., 2021

Privacy-first health research with federated learning.

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

npj Digit. Medicine, 2021

Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state.

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

npj Digit. Medicine, 2021

Cross-Lingual Language Model Meta-Pretraining.

Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xian-Ling Mao

CoRR, 2021

A Field Guide to Federated Optimization.

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

CoRR, 2021

Local Adaptivity in Federated Learning: Convergence and Consistency.

Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi

CoRR, 2021

Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading.

Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong Zhang

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets.

Luyang Liu, Marco Gruteser

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates.

Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

Jointly Learning Topics in Sentence Embedding for Document Summarization.

Yang Gao, Yue Xu, Heyan Huang, Qian Liu, Linjing Wei, Luyang Liu

IEEE Trans. Knowl. Data Eng., 2020

Neural abstractive summarization fusing by global generative topics.

Yang Gao, Yang Wang, Luyang Liu, Yi-Di Guo, Heyan Huang

Neural Comput. Appl., 2020

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks.

Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion

CoRR, 2020

2019

SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm.

Luyang Liu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov

IEEE Access, 2019

Neural Variational Correlated Topic Modeling.

Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei

Proceedings of the World Wide Web Conference, 2019

HandSense: capacitive coupling-based dynamic, micro finger gesture recognition.

Viet Nguyen, Siddharth Rupavatharam, Luyang Liu, Richard E. Howard, Marco Gruteser

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Edge Assisted Real-time Object Detection for Mobile Augmented Reality.

Luyang Liu, Hongyu Li, Marco Gruteser

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds.

Wuyang Zhang, Sugang Li, Luyang Liu, Zhenhua Jia, Yanyong Zhang, Dipankar Raychaudhuri

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

A New Type of ROS-Based Pedagogical Robot for Kids' Mathematics Education.

Bo-Zhou Zha, Mofei Cheng, Songhao Liu, Luyang Liu, Peiwen Sun, Mahmood Al-khassaweneh

Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

2018

Automatic Unusual Driving Event Identification for Dependable Self-Driving.

Hongyu Li, Hairong Wang, Luyang Liu, Marco Gruteser

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Single-Sensor Motion and Orientation Tracking in a Moving Vehicle.

Çagdas Karatas, Luyang Liu, Marco Gruteser, Richard E. Howard

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering.

Luyang Liu, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Marco Gruteser

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Task-oriented Word Embedding for Text Classification.

Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving.

Luyang Liu, Hongyu Li, Jian Liu, Çagdas Karatas, Yan Wang, Marco Gruteser, Yingying Chen, Richard P. Martin

Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

Enabling Large-Scale Road Data Acquisition with an Easy-to-Install and Sustainable Setup.

Luyang Liu

Proceedings of the 2017 Workshop on MobiSys 2017 Ph.D. Forum, 2017

On Building a Programmable Wireless High-Quality Virtual Reality System Using Commodity Hardware.

Ruiguang Zhong, Manni Wang, Zijian Chen, Luyang Liu, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Thomas Moscibroda

Proceedings of the 8th Asia-Pacific Workshop on Systems, Mumbai, India, September 2, 2017, 2017

2016

Determining Driver Phone Use by Exploiting Smartphone Integrated Sensors.

Yan Wang, Yingying (Jennifer) Chen, Jie Yang, Marco Gruteser, Richard P. Martin, Hongbo Liu, Luyang Liu, Çagdas Karatas

IEEE Trans. Mob. Comput., 2016

Towards safer texting while driving through stop time prediction.

Hongyu Li, Luyang Liu, Çagdas Karatas, Jian Liu, Marco Gruteser, Yingying Chen, Yan Wang, Richard P. Martin, Jie Yang

Proceedings of the First ACM International Workshop on Smart, 2016

Toward detection of unsafe driving with inertial head-mounted sensors.

Çagdas Karatas, Hongyu Li, Luyang Liu

Proceedings of the Eighth Wireless of the Students, 2016

Leveraging wearables for steering and driver tracking.

Çagdas Karatas, Luyang Liu, Hongyu Li, Jian Liu, Yan Wang, Sheng Tan, Jie Yang, Yingying Chen, Marco Gruteser, Richard P. Martin

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015

BJUT at TREC 2015 Microblog Track: Real-Time Filtering Using Knowledge Base.

Luyang Liu, Zhen Yang

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Toward Detection of Unsafe Driving with Wearables.

Luyang Liu, Çagdas Karatas, Hongyu Li, Sheng Tan, Marco Gruteser, Jie Yang, Yingying Chen, Richard P. Martin

Proceedings of the 2015 workshop on Wearable Systems and Applications, 2015

2010

DiffServ-aware MPLS traffic engineering.

Xiaoping Li, Xiaoxing Lv, Luyang Liu, Wenbo Mei

Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS 2010), 2010

Research of Opportunistic Routing Protocol in Wearable Sensor Network.

Xiaoxing Lv, Xiaoping Li, Luyang Liu, Yinxiang Li

Proceedings of the 2010 Asia-Pacific Conference on Wearable Computing Systems, 2010

Application of Multi-target Pose Estimation in Wearable Monitoring System.

Xiaoping Li, Luyang Liu, Xiaoxing Lv

Proceedings of the 2010 Asia-Pacific Conference on Wearable Computing Systems, 2010