Luyang Liu - RankMe

81 papers A* 13A 4B 4C 1Misc 2Journal 41Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GeoFL: A Framework for Efficient Geo-Distributed Cross-Device Federated Learning. IEEE Trans. Netw. Maolin Gan, Lanpeng Li, Samiul Alam, Li Liu, Luyang Liu, Mi Zhang, Huacheng Zeng, Zhichao Cao
2025	—	`conf`	Adversarial Learning-Based Reconstruction of Low Sampling Rate Images for Classification. NewCAS Luyang Liu, Hiroki Nishikawa, Jinjia Zhou, Ittetsu Taniguchi, Takao Onoye
2025	J	`jnl`	An interpretable reasoning schema for fuzzy knowledge graph under interval Type-2 fuzzy model. Appl. Soft Comput. Pu Li, Guopeng Cheng, Yongqi Zhao, Luyang Liu, Meifang Chen, Zhengang Ma, Xiaoyu Chen
2025	J	`jnl`	Deformable Cross-Attention Transformer for Weakly Aligned RGB-T Pedestrian Detection. IEEE Trans. Multim. Yu Hu, Xiaobo Chen, Sheng Wang, Luyang Liu, Hengyang Shi, Lihong Fan, Jing Tian, Jun Liang
2025	A*	`conf`	Deliberation in Latent Space via Differentiable Cache Augmentation. ICML Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun Xie, Arthur Szlam
2025	—	`conf`	Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. UniReps Neha Mukund Kalibhat, Warren Richard Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield
2025	J	`jnl`	GaussMaster: An LLM-based Database Copilot System. CoRR Wei Zhou, Ji Sun, Xuanhe Zhou, Guoliang Li, Luyang Liu, Hao Wu, Tianyuan Wang
2025	A*	`conf`	GeoFL: A Framework for Efficient Geo-Distributed Cross-Device Federated Learning. INFOCOM Maolin Gan, Lanpeng Li, Samiul Alam, Li Liu, Luyang Liu, Mi Zhang, Zhichao Cao
2025	J	`jnl`	Lightweight Remote Sensing Image Segmentation Network With Dilated Convolution and Data-Dependent Attention Decoder. IEEE Access Luyang Liu, Savath Saypadith, Ittetsu Taniguchi, Jinjia Zhou, Hiroki Nishikawa, Takao Onoye
2025	J	`jnl`	Pre-training graph autoencoder incorporating hierarchical topology knowledge. Expert Syst. Appl. Hongyin Zhu, Yakun Li, Luyang Liu, Haonan Tong, Qunyang Lin, Chuang Zhang
2025	A*	`conf`	RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. AAAI Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie
2025	J	`jnl`	Resource Allocation in Cell-Free Massive MIMO With the Coexistence of eMBB and URLLC. IEEE Trans. Veh. Technol. Luyang Liu, Shaochuan Wu, Yongkui Ma
2025	—	`conf`	User-LLM: Efficient LLM Contextualization with User Embeddings. WWW (Companion Volume) Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie
2024	J	`jnl`	Augmentations vs Algorithms: What Works in Self-Supervised Learning. CoRR 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
2024	J	`jnl`	Can Pretrained English Language Models Benefit Non-English NLP Systems in Low-Resource Scenarios? IEEE ACM Trans. Audio Speech Lang. Process. Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xiaoyan Gao, Xian-Ling Mao
2024	J	`jnl`	Capabilities of Gemini Models in Medicine. CoRR 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
2024	J	`jnl`	Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing. Sensors Luyang Liu, Hiroki Nishikawa, Jinjia Zhou, Ittetsu Taniguchi, Takao Onoye
2024	J	`jnl`	Deliberation in Latent Space via Differentiable Cache Augmentation. CoRR Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, Jun Xie, Arthur Szlam
2024	J	`jnl`	GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning. CoRR Syed Irfan Ali Meerza, Luyang Liu, Jiaxin Zhang, Jian Liu
2024	A*	`conf`	Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models. EMNLP Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi
2024	J	`jnl`	Heterogeneous Low-Rank Approximation for Federated Fine-tuning of On-Device Foundation Models. CoRR Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi
2024	J	`jnl`	Integrating FPGA-based hardware acceleration with relational databases. Parallel Comput. Ke Liu, Haonan Tong, Zhongxiang Sun, Zhixin Ren, Guangkui Huang, Hongyin Zhu, Luyang Liu, Qunyang Lin, Chuang Zhang
2024	J	`jnl`	One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models. CoRR Ziyao Wang, Bowei Tian, Yexiao He, Zheyu Shen, Luyang Liu, Ang Li
2024	J	`jnl`	Pilot Assignment and Power Control for Cell-Free Massive MIMO With HTC/MTC Coexistence. IEEE Internet Things J. Luyang Liu, Shaochuan Wu, Qiang Ye, Yongkui Ma
2024	J	`jnl`	RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. CoRR Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie
2024	J	`jnl`	User-LLM: Efficient LLM Contextualization with User Embeddings. CoRR Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie
2024	J	`jnl`	UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches. CoRR Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green
2023	—	`conf`	Adaptive Sampling for Computer Vision-Oriented Compressive Sensing. MMAsia Luyang Liu, Hiroki Nishikawa, Jinjia Zhou, Ittetsu Taniguchi, Takao Onoye
2023	J	`jnl`	Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. CoRR Neha Mukund Kalibhat, Warren R. Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield
2023	J	`jnl`	Grep: A Graph Learning Based Database Partitioning System. Proc. ACM Manag. Data Xuanhe Zhou, Guoliang Li, Jianhua Feng, Luyang Liu, Wei Guo
2023	J	`jnl`	Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse. IEEE Netw. Bo Han, Tristan Braud, Mario Di Francesco, Maria Gorlatova, Luyang Liu, Gábor Sörös, Pengyuan Zhou
2023	A	`conf`	Neural Personalized Topic Modeling for Mining User Preferences on Social Media. CIKM Luyang Liu, Qunyang Lin, Haonan Tong, Hongyin Zhu, Ke Liu, Min Wang, Chuang Zhang
2023	J	`jnl`	RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense. CoRR Yue Cui, Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu
2023	A	`conf`	RecUP-FL: Reconciling Utility and Privacy in Federated learning via User-configurable Privacy Defense. AsiaCCS Yue Cui, Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu
2023	—	`conf`	Superposition Coding in Cell-Free Massive MIMO with the Coexistence of eMBB and URLLC. GLOBECOM (Workshops) Luyang Liu, Shaochuan Wu, Yongkui Ma
2022	B	`conf`	An AP Selection Strategy Based on Congestion Game for User-Centric Cell-Free Massive MIMO. PIMRC Luyang Liu, Shaochuan Wu, Qiang Ye, Yongkui Ma
2022	A*	`conf`	Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. CVPR Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu
2022	J	`jnl`	Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. CoRR Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu
2022	A*	`conf`	AutoIndex: An Incremental Index Management System for Dynamic Workloads. ICDE Xuanhe Zhou, Luyang Liu, Wenbo Li, Lianyuan Jin, Shifu Li, Tianqing Wang, Jianhua Feng
2022	—	`conf`	Fair and Privacy-Preserving Alzheimer's Disease Diagnosis Based on Spontaneous Speech Analysis via Federated Learning. EMBC Syed Irfan Ali Meerza, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu
2022	A*	`conf`	FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. NeurIPS Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang
2022	J	`jnl`	FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction. CoRR Samiul Alam, Luyang Liu, Ming Yan, Mi Zhang
2022	J	`jnl`	Improving neural topic modeling via Sinkhorn divergence. Inf. Process. Manag. Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang
2022	—	`conf`	Privacy-preserving Speech-based Depression Diagnosis via Federated Learning. EMBC Yue Cui, Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu
2022	J	`jnl`	Revenue-Maximizing Resource Allocation for Multitenant Cell-Free Massive MIMO Networks. IEEE Syst. J. Shaochuan Wu, Luyang Liu, Wenbin Zhang, Weixiao Meng, Qiang Ye, Yongkui Ma
2022	J	`jnl`	Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. CoRR 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
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR 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
2021	B	`conf`	Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates. ICPADS Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu
2021	J	`jnl`	Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates. CoRR Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu
2021	J	`jnl`	Cross-Lingual Language Model Meta-Pretraining. CoRR Zewen Chi, Heyan Huang, Luyang Liu, Yu Bai, Xian-Ling Mao
2021	J	`jnl`	DBMind: A Self-Driving Platform in openGauss. Proc. VLDB Endow. Xuanhe Zhou, Lianyuan Jin, Ji Sun, Xinyang Zhao, Xiang Yu, Shifu Li, Tianqing Wang, Kun Li, Luyang Liu
2021	A*	`conf`	EdgeSharing: Edge Assisted Real-time Localization and Object Sharing in Urban Streets. INFOCOM Luyang Liu, Marco Gruteser
2021	A*	`conf`	Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading. MobiCom Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong Zhang
2021	J	`jnl`	Local Adaptivity in Federated Learning: Convergence and Consistency. CoRR Jianyu Wang, Zheng Xu, Zachary Garrett, Zachary Charles, Luyang Liu, Gauri Joshi
2021	J	`jnl`	Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. npj Digit. Medicine 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
2021	J	`jnl`	Privacy-first health research with federated learning. npj Digit. Medicine 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
2020	J	`jnl`	Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks. CoRR Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion
2020	J	`jnl`	Jointly Learning Topics in Sentence Embedding for Document Summarization. IEEE Trans. Knowl. Data Eng. Yang Gao, Yue Xu, Heyan Huang, Qian Liu, Linjing Wei, Luyang Liu
2020	J	`jnl`	Neural abstractive summarization fusing by global generative topics. Neural Comput. Appl. Yang Gao, Yang Wang, Luyang Liu, Yi-Di Guo, Heyan Huang
2019	—	`conf`	A New Type of ROS-Based Pedagogical Robot for Kids' Mathematics Education. EIT Bo-Zhou Zha, Mofei Cheng, Songhao Liu, Luyang Liu, Peiwen Sun, Mahmood Al-Khassaweneh
2019	A*	`conf`	Edge Assisted Real-time Object Detection for Mobile Augmented Reality. MobiCom Luyang Liu, Hongyu Li, Marco Gruteser
2019	Misc	`conf`	HandSense: capacitive coupling-based dynamic, micro finger gesture recognition. SenSys Viet Nguyen, Siddharth Rupavatharam, Luyang Liu, Richard E. Howard, Marco Gruteser
2019	A*	`conf`	Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds. INFOCOM Wuyang Zhang, Sugang Li, Luyang Liu, Zhenhua Jia, Yanyong Zhang, Dipankar Raychaudhuri
2019	A*	`conf`	Neural Variational Correlated Topic Modeling. WWW Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei
2019	J	`jnl`	SAR Image Change Detection Based on Mathematical Morphology and the K-Means Clustering Algorithm. IEEE Access Luyang Liu, Zhenhong Jia, Jie Yang, Nikola K. Kasabov
2018	Misc	`conf`	Automatic Unusual Driving Event Identification for Dependable Self-Driving. SenSys Hongyu Li, Hairong Wang, Luyang Liu, Marco Gruteser
2018	A	`conf`	Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering. MobiSys Luyang Liu, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Marco Gruteser
2018	B	`conf`	Single-Sensor Motion and Orientation Tracking in a Moving Vehicle. SECON Çagdas Karatas, Luyang Liu, Marco Gruteser, Richard E. Howard
2018	B	`conf`	Task-oriented Word Embedding for Text Classification. COLING Qian Liu, Heyan Huang, Yang Gao, Xiaochi Wei, Yuxin Tian, Luyang Liu
2017	A	`conf`	BigRoad: Scaling Road Data Acquisition for Dependable Self-Driving. MobiSys Luyang Liu, Hongyu Li, Jian Liu, Çagdas Karatas, Yan Wang, Marco Gruteser, Yingying Chen, Richard P. Martin
2017	—	`conf`	Enabling Large-Scale Road Data Acquisition with an Easy-to-Install and Sustainable Setup. MobiSys PhDForum Luyang Liu
2017	—	`conf`	On Building a Programmable Wireless High-Quality Virtual Reality System Using Commodity Hardware. APSys Ruiguang Zhong, Manni Wang, Zijian Chen, Luyang Liu, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Thomas Moscibroda
2016	J	`jnl`	Determining Driver Phone Use by Exploiting Smartphone Integrated Sensors. IEEE Trans. Mob. Comput. Yan Wang, Yingying (Jennifer) Chen, Jie Yang, Marco Gruteser, Richard P. Martin, Hongbo Liu, Luyang Liu, Çagdas Karatas
2016	A*	`conf`	Leveraging wearables for steering and driver tracking. INFOCOM Çagdas Karatas, Luyang Liu, Hongyu Li, Jian Liu, Yan Wang, Sheng Tan, Jie Yang, Yingying Chen, Marco Gruteser, Richard P. Martin
2016	—	`conf`	Toward detection of unsafe driving with inertial head-mounted sensors. S3@MobiCom Çagdas Karatas, Hongyu Li, Luyang Liu
2016	—	`conf`	Towards safer texting while driving through stop time prediction. CarSys@MobiCom Hongyu Li, Luyang Liu, Çagdas Karatas, Jian Liu, Marco Gruteser, Yingying Chen, Yan Wang, Richard P. Martin, Jie Yang
2015	—	`conf`	BJUT at TREC 2015 Microblog Track: Real-Time Filtering Using Knowledge Base. TREC Luyang Liu, Zhen Yang
2015	—	`conf`	Toward Detection of Unsafe Driving with Wearables. WearSys@MobiSys Luyang Liu, Çagdas Karatas, Hongyu Li, Sheng Tan, Marco Gruteser, Jie Yang, Yingying Chen, Richard P. Martin
2010	—	`conf`	Application of Multi-target Pose Estimation in Wearable Monitoring System. APWCS Xiaoping Li, Luyang Liu, Xiaoxing Lv
2010	C	`conf`	DiffServ-aware MPLS traffic engineering. ICIS Xiaoping Li, Xiaoxing Lv, Luyang Liu, Wenbo Mei
2010	—	`conf`	Research of Opportunistic Routing Protocol in Wearable Sensor Network. APWCS Xiaoxing Lv, Xiaoping Li, Luyang Liu, Yinxiang Li