| 2026 | ICDCS | Trilogy: Tag Information Collection in Multi-Category Commodity RFID Systems. | Yanyan Wang, Zhihao Qu, Jia Liu, Xin He, Yingchi Mao, Bin Tang, Baoliu Ye |
| 2026 | ICPR | EOPD-SR: Entity-Ontology and Path-Dependency Subgraph Retrieval for Knowledge Graph - Augmented Reasoning. | Jiawen Xue, Yu Tang, Yingchi Mao, Zicheng Wang, Zhenxiang Pan, Bingbing Nie, Rongzhi Qi |
| 2026 | INFOCOM | A Cloud-Edge Collaborative System for Efficient LLM Fine-Tuning with Backbone Activation Caching. | Yuchu Chen, Yingchi Mao, Si Chen, Rongzhi Qi, Tianfu Pang, Zhenxiang Pan |
| 2025 | ICNP | Energy-Efficient Federated Learning via Dynamic Distillation and Cloud-Network Collaboration. | Yihan Chen, Haowen Xu, Yi Dong, Benteng Zhang, Xiaoming He, Miao Du, Yingchi Mao |
| 2025 | ICPADS | LLM-Driven Cloud-Edge Collaboration for Resilient Multi-UAV Task Planning. | Xuan Ling, Yingchi Mao, Yu Tang, Benteng Zhang, Yi Rong, Xiaoming He |
| 2025 | INFOCOM | Adaptive Federated Learning for Large Models with Scarce and Non-IID Data in Cloud-Edge Networks. | Benteng Zhang, Yingchi Mao, Peng Zhang, Haotian Zheng, Xiaoming He, Jiawen Kang, Jie Wu |
| 2025 | IWQoS | HFHEMS: Energy-Efficient Hierarchical Federated Learning via Model Distillation. | Yihan Chen, Yingchi Mao, Benteng Zhang, Qinxiao Deng, Xiang Li, Xiaoming He |
| 2025 | MASS | Efficient Zero-Cost Neural Architecture Search for Personalized AI Systems in Cloud-Edge Networks. | Kai Huang, Yingchi Mao, Benteng Zhang, Yihan Chen, Yuchu Chen, Jie Wu |
| 2025 | NPC | Learnable Cloud-Guided LLM Quantization for Resource-Constrained Edge Devices. | Qinxiao Deng, Tianfu Pang, Benteng Zhang, Bingbing Nie, Xiaoming He, Yingchi Mao, Jie Wu |
| 2025 | VTC | Temperature-Aware Adaptive Federated Distillation for Energy-Constrained AIoT with Non-IID Data. | Yingchi Mao, Jiakai Zhang, Litao Qu, Zicheng Wang, Benteng Zhang, Xiaoming He |
| 2024 | CCGRID | Dual Adaptive Compression for Efficient Communication in Heterogeneous Federated Learning. | Yingchi Mao, Zibo Wang, Chenxin Li, Jiakai Zhang, Shufang Xu, Jie Wu |
| 2024 | GLOBECOM | Edge-Cloud Enabled Smart Sensing Applications with Personalized Federated Learning in IoT. | Yingchi Mao, Yi Rong, Jiajun Wang, Zibo Wang, Xiaoming He, Jie Wu |
| 2024 | HPCC | Deep Reinforcement Learning Enabled UAVs Coverage Path Planning in Dam Inspection. | Yi Rong, Yingchi Mao, Haibin Xiao, Haowen Xu, Peishuang Zhao, Xiang Li, Xiaoming He |
| 2024 | HPCC | FedMHC: Overcoming Dimensionality and Communication Challenges for Personalized Federated Learning Using Model Head Clustering. | Haotian Zheng, Yingchi Mao, Haowen Xu, Xiaoming He, Benteng Zhang, Feng Mao, Jie Wu |
| 2024 | ICPR | EchoGCN: An Echo Graph Convolutional Network for Skeleton-Based Action Recognition. | Weiwen Qian, Qian Huang, Chang Li, Zhongqi Chen, Yingchi Mao |
| 2024 | ICTAI | LRIRL: Improving Knowledge Graph Reasoning through Representation Learning-Based Rule Induction. | Yingjie Liu, Yingchi Mao, Fudong Chi, Bo Wu, Silong Ding, Rongzhi Qi |
| 2024 | ICTAI | KRLGI: Knowledge Representation Learning Based on Global Information for Reasoning. | Bo Wu, Yingchi Mao, Fudong Chi, Yingjie Liu, Silong Ding, Rongzhi Qi |
| 2023 | ICA3PP | Differential Privacy in Federated Dynamic Gradient Clipping Based on Gradient Norm. | Yingchi Mao, Chenxin Li, Zibo Wang, Zijian Tu, Ping Ping |
| 2023 | ICTAI | ECIFF: Event Causality Identification based on Feature Fusion. | Silong Ding, Yingchi Mao, Yong Cheng, Tianfu Pang, Lijuan Shen, Rongzhi Qi |
| 2023 | ICTAI | Script Event Prediction Based on Causal Generalization Learning. | Tianfu Pang, Yingchi Mao, Silong Ding, Biao Wang, Rongzhi Qi |
| 2023 | VTC | Green Resource Allocation with DDPG for Knowledge Learning in Digital Twin-enabled Edges. | Xiaoming He, Yingchi Mao, Yinqiu Liu, Benteng Zhang, Yunzhe Jiang, Yan Hong |
| 2022 | ICPADS | Accelerating Federated Learning with Two-phase Gradient Adjustment. | Jiajun Wang, Yingchi Mao, Xiaoming He, Tong Zhou, Jun Wu, Jie Wu |
| 2021 | GLOBECOM | A Blockchain-based Grouped Federated Learning Scheme Against Malicious Clients. | Hongle Guo, Yingchi Mao, Xiaoming He, Hua Nie |
| 2021 | HPCC | ASTC: An Adaptive Gradient Compression Scheme for Communication-Efficient Edge Computing. | Jun Wu, Yingchi Mao, Xuesong Xu |
| 2020 | GLOBECOM | QoE-driven Task Offloading with Deep Reinforcement Learning in Edge intelligent IoV. | Xiaoming He, Haodong Lu, Yingchi Mao, Kun Wang |
| 2016 | DASFAA | Real-Time Event Detection with Water Sensor Networks Using a Spatio-Temporal Model. | Yingchi Mao, Xiaoli Chen, Zhuoming Xu |
| 2008 | ICARCV | A survey on topology control in wireless sensor networks. | Xiaofang Li, Yingchi Mao, Yi Liang |
| 2007 | UIC | A Location-Unaware Connected Coverage Protocol in Wireless Sensor Networks. | Yingchi Mao, Lijun Chen, Daoxu Chen |
| 2005 | ISPA | Constructing the Robust and Efficient Small World Overlay Network for P2P Systems. | Guofu Feng, Yingchi Mao, Daoxu Chen |