| 2026 | ACL | CoTrust: Privacy-Preserving Collaboration Between Large and Small Language Models in Trusted Execution Environments. | Zhenya Ma, Tingyi Wang, Yongheng Deng, Ziqing Qiao, Yinggui Wang, Tao Wei, Lei Wang, Ju Ren |
| 2026 | INFOCOM | EarAuth: Towards Practical Cardiac Vibration Authentication on COTS Wireless Earbuds. | Yongjian Fu, Wenpeng Zhu, Yingjun Wu, Hao Pan, Yizhe Zhao, Guanbo Wang, Jinrui Zhang, Li Li, Yongheng Deng, Yaoxue Zhang, Ju Ren |
| 2026 | KDD | Revisiting Redundancy in Diffusion Transformers: A Temporal-Spatial Joint Caching Strategy for Efficient Sampling. | Chenxi Du, Yongheng Deng, Ju Ren, Yaoxue Zhang |
| 2025 | EMNLP | ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. | Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Guanbo Wang, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang |
| 2025 | IPIN | Efficient LOS/NLOS Classification in 5G NR Using Field Image Transformation and Modified Mean Teacher Framework. | Ziheng Chen, Renhao Liu, Zhongliang Deng, Enwen Hu, Yongheng Deng |
| 2025 | IWQoS | Malva: A Jitter-Aware Online Pruning Framework for DNN Inference Tasks. | Ziyan Fu, Yongheng Deng, Li Li, Yingjun Wu, Zhibo Wang, Su Yao, Yaoxue Zhang, Ju Ren |
| 2025 | IWQoS | FedAF: Alignment-Augmented Fusion for Federated Multimodal Learning with Small Labels. | Guanbo Wang, Yongheng Deng, Li Li, Yingjun Wu, Jiaqi Lv, Xinyi Li, Tuowei Wang, Yaoxue Zhang, Ju Ren |
| 2025 | Mobisys | CrossLM: A Data-Free Collaborative Fine-Tuning Framework for Large and Small Language Models. | Yongheng Deng, Ziqing Qiao, Ye Zhang, Zhenya Ma, Yang Liu, Ju Ren |
| 2024 | INFOCOM | Federated Offline Policy Optimization with Dual Regularization. | Sheng Yue, Zerui Qin, Xingyuan Hua, Yongheng Deng, Ju Ren |
| 2023 | GLOBECOM | LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning. | Tong Liu, Feng Lyu, Jun Ma, Yongheng Deng, Jiayin Chen, Qilong Tan, Yaoxue Zhang |
| 2023 | ICDCS | A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning. | Feng Lyu, Cheng Tang, Yongheng Deng, Tong Liu, Yongmin Zhang, Yaoxue Zhang |
| 2023 | INFOCOM | A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning. | Yongheng Deng, Ju Ren, Cheng Tang, Feng Lyu, Yang Liu, Yaoxue Zhang |
| 2023 | SENSYS | FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data. | Yongheng Deng, Sheng Yue, Tuowei Wang, Guanbo Wang, Ju Ren, Yaoxue Zhang |
| 2022 | CNSM | HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization. | Tengxi Xia, Yongheng Deng, Sheng Yue, Junyi He, Ju Ren, Yaoxue Zhang |
| 2022 | SENSYS | TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity. | Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, Yaoxue Zhang |
| 2021 | ICDCS | SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning. | Yongheng Deng, Feng Lyu, Ju Ren, Yongmin Zhang, Yuezhi Zhou, Yaoxue Zhang, Yuanyuan Yang |
| 2021 | INFOCOM | FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation. | Yongheng Deng, Feng Lyu, Ju Ren, Yi-Chao Chen, Peng Yang, Yuezhi Zhou, Yaoxue Zhang |