Compressive modulation in digital communication. - Yingyu Li; Guangming Shi; Xuemei Xie; Chongyu Chen (ISCAS, 2013)

Prediction of High Resolution Spatial-Temporal Air Pollutant Map from Big Data Sources. - Yingyu Li; Yifang Zhu; Wotao Yin; Yang Liu 037; Guangming Shi; Zhu Han 001 (BigCom, 2015)

Energy Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds. - Zheng Chang 001; Jie Gong; Yingyu Li; Zhenyu Zhou 001; Tapani Ristaniemi; Guangming Shi; Zhu Han 001; Zhisheng Niu (IEEE J. Sel. Areas Commun., 2016)

Fast document image comparison in multilingual corpus without OCR. - Yuping Lin; Yingyu Li; Yonghong Song; Fang Wang (Multim. Syst., 2017)

Multilingual corpus construction based on printed and handwritten character separation. - Yuping Lin; Yonghong Song; Yingyu Li; Fang Wang; Kai He (Multim. Tools Appl., 2017)

Spatial-HTM: A MapReduce-Based System for Querying Spatial Data with the Hierarchical Triangular Mesh. - Jiabao Yan; Haojia Zuo; Ying Zhao; Yingyu Li (ICCSA (3), 2018)

A Distributed ADMM Approach With Decomposition-Coordination for Mobile Data Offloading. - Yingyu Li; Guangming Shi; Wotao Yin; Lanchao Liu; Zhu Han 001 (IEEE Trans. Veh. Technol., 2018)

Distributed Resource Allocation for Network Slicing of Bandwidth and Computational Resource. - Anqi Huang; Yingyu Li; Yong Xiao 001; Xiaohu Ge; Sumei Sun; Han-Chieh Chao (ICC, 2020)

A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network. - Rong Xia; Yong Xiao 001; Yingyu Li; Marwan Krunz; Dusit Niyato (ICC, 2020)

Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks. - Yong Xiao 001; Yingyu Li; Guangming Shi; H. Vincent Poor (WCSP, 2020)

Toward Self-Learning Edge Intelligence in 6G. - Yong Xiao 001; Guangming Shi; Yingyu Li; Walid Saad; H. Vincent Poor (IEEE Commun. Mag., 2020)

Federated Orchestration for Network Slicing of Bandwidth and Computational Resource. - Yingyu Li; Anqi Huang; Yong Xiao 001; Xiaohu Ge; Sumei Sun; Han-Chieh Chao (CoRR, 2020)

Towards Self-learning Edge Intelligence in 6G. - Yong Xiao 001; Guangming Shi; Yingyu Li; Walid Saad; H. Vincent Poor (CoRR, 2020)

Capacity-Aware Edge Caching in Fog Computing Networks. - Qiang Li 009; Yuanmei Zhang; Yingyu Li; Yong Xiao 001; Xiaohu Ge (IEEE Trans. Veh. Technol., 2020)

Optimizing Intelligent Reflecting Surface-Base Station Association for Mobile Networks. - Dongzi Jin; Yong Xiao 001; Yingyu Li; Guangming Shi; Dusit Niyato (ICC, 2021)

Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks. - Juntong Liu; Yong Xiao 001; Yingyu Li; Guangming Shi; Walid Saad; H. Vincent Poor (ICC, 2021)

Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks. - Chenxin Xu; Rong Xia; Yong Xiao 001; Yingyu Li; Guangming Shi; Kwang-Cheng Chen (ICC, 2021)

Towards Energy-efficient Federated Edge Intelligence for IoT Networks. - Qu Wang; Yong Xiao 001; Huixiang Zhu; Zijian Sun; Yingyu Li; Xiaohu Ge (ICDCS Workshops, 2021)

From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems. - Guangming Shi; Yong Xiao 001; Yingyu Li; Xuemei Xie (IEEE Commun. Mag., 2021)

Life-long Learning for Reasoning-based Semantic Communication. - Jingming Liang; Yong Xiao 001; Yingyu Li; Guangming Shi; Mehdi Bennis (ICC Workshops, 2022)

Reasoning on the Air: An Implicit Semantic Communication Architecture. - Yong Xiao 001; Yingyu Li; Guangming Shi; H. Vincent Poor (ICC Workshops, 2022)

Rate-Distortion Theory for Strategic Semantic Communication. - Yong Xiao 001; Xu Zhang; Yingyu Li; Guangming Shi; Tamer Basar (ITW, 2022)

Rate-Distortion Theory for Strategic Semantic Communication. - Yong Xiao 001; Xu Zhang; Yingyu Li; Guangming Shi (CoRR, 2022)

Adversarial Learning for Implicit Semantic-Aware Communications. - Zhimin Lu; Yong Xiao 001; Zijian Sun; Yingyu Li; Guangming Shi; Xianfu Chen; Mehdi Bennis; H. Vincent Poor (ICC, 2023)

Physical-Layer Semantic-Aware Network for Zero-Shot Wireless Sensing. - Huixiang Zhu; Yong Xiao 001; Yingyu Li; Guangming Shi; Walid Saad (ICNP, 2023)

Distance to a River Modifies Climate Legacy on Vegetation Growth in a Boreal Riparian Forest. - Yingyu Li; Qiaoqi Sun; Hongfei Zou; Petra Marschner (Remote. Sens., 2023)

Clustered Federated Learning for Distributed Wireless Sensing. - Yuxuan Liu; Zijian Sun; Yong Xiao 001; Haohui Cai; Huixiang Zhu; Yingyu Li; Guangming Shi (GLOBECOM, 2024)

Optimizing Reconfigurable Intelligent Surface-Assisted Distributed Wireless Sensing. - Chaofan Li; Huixiang Zhu; Yong Xiao 001; Yingyu Li; Dusit Niyato; Sumei Sun; Walid Saad (ICC, 2024)

Towards Net-Zero Carbon Emissions in Federated Edge Intelligence. - Haohui Cai; Yong Xiao 001; Yingyu Li; Yujie Zhou; Dusit Niyato; Sumei Sun (VTC Spring, 2024)

Federated Generative Learning for Digital Twin Network Modeling. - Dongzi Jin; Yingyu Li; Yong Xiao 001 (VTC Spring, 2024)

Towards Energy Efficient Federated Meta-Learning in Edge Network. - Xubo Li; Yuanjie Jia; Yingyu Li; Yong Xiao 001 (VTC Spring, 2024)

Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond. - Peng Zhang 040; Yong Xiao 001; Yingyu Li; Xiaohu Ge; Guangming Shi; Yang Yang 001 (CoRR, 2024)

Multi-objective Optimization Algorithm of Cross-border E-commerce Social Traffic Network based on Improved Particle Swarm Optimization. - Wenjin Jin; Yingyu Li (Scalable Comput. Pract. Exp., 2024)

Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-Supervised Learning Approach. - Yong Xiao 001; Rong Xia; Yingyu Li; Guangming Shi; Diep N. Nguyen; Dinh Thai Hoang; Dusit Niyato; Marwan Krunz (IEEE Trans. Mob. Comput., 2024)

Time-Sensitive Learning for Heterogeneous Federated Edge Intelligence. - Yong Xiao 001; Xiaohan Zhang; Yingyu Li; Guangming Shi; Marwan Krunz; Diep N. Nguyen; Dinh Thai Hoang (IEEE Trans. Mob. Comput., 2024)

Toward Net-Zero Carbon Emissions in Network AI for 6G and Beyond. - Peng Zhang 040; Yong Xiao 001; Yingyu Li; Xiaohu Ge; Guangming Shi; Yang Yang 001 (IEEE Commun. Mag., 2024)

Reasoning Over the Air: A Reasoning- Based Implicit Semantic-Aware Communication Framework. - Yong Xiao 001; Yiwei Liao; Yingyu Li; Guangming Shi; H. Vincent Poor; Walid Saad; Mérouane Debbah; Mehdi Bennis (IEEE Trans. Wirel. Commun., 2024)

IMVGCN: Interactive Multi-view Learning Graph Convolutional Networks for Traffic Flow Forecasting. - Yingyu Li; Huahu Xu (ICIC (22), 2025)

Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation. - An Shao; Xiaocong Liu; Wenyue Shen; Yingyu Li; Hongkang Wu; Xiangji Pan; Zexin Yang; Yufeng Xu; Tiepei Zhu; Yao Wang; Jie Yang; Yih Chung Tham; et al. (npj Digit. Medicine, 2025)

SANSee: A Physical-Layer Semantic-Aware Networking Framework for Distributed Wireless Sensing. - Huixiang Zhu; Yong Xiao 001; Yingyu Li; Guangming Shi; Marwan Krunz (IEEE Trans. Mob. Comput., 2025)

Distributed Optimization of Resource Efficiency for Federated Edge Intelligence in AAV-Enabled IoT Networks. - Yingyu Li; Jiangying Rao; Lian Wang; Yong Xiao 001; Xiaohu Ge; Guangming Shi (IEEE Internet Things J., 2025)

Robust Federated Learning against Model Perturbation in Edge Networks. - Dongzi Jin; Yong Xia 001; Yingyu Li (CoRR, 2025)

Collaborative filtering recommendation algorithm based on fine-grained mining and neighborhood awareness attention. - Jin Jun; Yingyu Li (Discov. Artif. Intell., 2025)