| 2026 | IWCMC | Scalable Semantic Communication for Multi-User Systems with Heterogeneous Tasks. | Hao Chen, Juan Liu, Richeng Jin, Xijun Wang |
| 2026 | WCNC | One-Step Generative Channel Estimation via Average Velocity Field. | Zehua Jiang, Fenghao Zhu, Siming Jiang, Chongwen Huang, Zhaohui Yang, Richeng Jin, Zhaoyang Zhang, Mrouane Debbah |
| 2025 | GLOBECOM | QUANT: A Quality-Aware Adversarial Noise Removal Attack on Semantic Communications. | Xuanting Chen, Maojun Zhang, Richeng Jin, Huaiyu Dai |
| 2025 | ICLR | GSBAK: top-K Geometric Score-based Black-box Attack. | Md Farhamdur Reza, Richeng Jin, Tianfu Wu, Huaiyu Dai |
| 2025 | ICML | Noisy SIGNSGD Is More Differentially Private Than You (Might) Think. | Richeng Jin, Huaiyu Dai |
| 2025 | PIMRC | Scenario Diversity Assessment for Data Down Scaling in Wireless AI: a Geometric Feature-Based Approach. | Ridong Li, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Richeng Jin |
| 2024 | GLOBECOM | Robust Continuous-Time Beam Tracking with Liquid Neural Network. | Fenghao Zhu, Xinquan Wang, Chongwen Huang, Richeng Jin, Qianqian Yang, Ahmed Al Hammadi, Zhaoyang Zhang, Chau Yuen, Mrouane Debbah |
| 2024 | WCNC | IRS-Assisted Integrated Localization and Communication for Multiuser mmWave Massive MIMO Systems. | Xingyu Peng, Xiaoling Hu, Jiabao Gao, Richeng Jin, Xiaoming Chen |
| 2024 | WCNC | Realizing Over-the-Air Neural Networks in RIS-Assisted MIMO Communication Systems. | Yuzhi Yang, Zhaoyang Zhang, Yuqing Tian, Zhaohui Yang, Richeng Jin, Lei Liu, Chongwen Huang |
| 2023 | CISS | Communication-Efficient Federated Learning with Channel-Aware Sparsification over Wireless Networks. | Richeng Jin, Philip Dai, Kaiqi Xiong |
| 2023 | CISS | Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent. | Richeng Jin, Xiaofan He, Huaiyu Dai |
| 2023 | GLOBECOM | Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning. | Maojun Zhang, Zhijie Cai, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong |
| 2023 | ISIT | Coded Parallelism for Distributed Deep Learning. | Songting Ji, Zhaoyang Zhang, Zhaohui Yang, Richeng Jin, Qianqian Yang |
| 2022 | GLOBECOM | Hierarchical Federated Learning with Adaptive Clustering on Non-IID Data. | Yuqing Tian, Zhaoyang Zhang, Zhaohui Yang, Richeng Jin |
| 2022 | ICML | Neural Tangent Kernel Empowered Federated Learning. | Kai Yue, Richeng Jin, Ryan Pilgrim, Chau-Wai Wong, Dror Baron, Huaiyu Dai |
| 2022 | PIMRC | Mobile MIMO Channel Prediction with ODE-RNN: a Physics-Inspired Adaptive Approach. | Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang, Richeng Jin |
| 2022 | VTC | Distributed ADMM for Time-Varying Communication Networks. | Zhuojun Tian, Zhaoyang Zhang, Richeng Jin |
| 2021 | WCNC | Joint Service Placement and Resource Allocation for Multi-UAV Collaborative Edge Computing. | Xiaofan He, Richeng Jin, Huaiyu Dai |
| 2020 | GLOBECOM | Joint Power and Deployment Optimization for Multi-UAV Remote Edge Computing. | Xiaofan He, Richeng Jin, Huaiyu Dai |
| 2020 | GLOBECOM | Differential Privacy and Prediction Uncertainty of Gossip Protocols in General Networks. | Yufan Huang, Richeng Jin, Huaiyu Dai |
| 2020 | INFOCOM | Glide and Zap Q-Learning. | Xiaofan He, Richeng Jin, Huaiyu Dai |
| 2017 | GLOBECOM | Privacy-Aware Offloading in Mobile-Edge Computing. | Xiaofan He, Juan Liu, Richeng Jin, Huaiyu Dai |
| 2016 | GLOBECOM | Collaborative IDS Configuration: A Two-Layer Game-Theoretical Approach. | Richeng Jin, Xiaofan He, Huaiyu Dai |