| 2026 | CCGRID | Heterogeneous-Resource-Aware Federated Learning with Intelligent LoRA Allocation and Aggregation. | Youye Xie, Yao Lian, Kevin Chen, Abdul Latif, Lingzhi Zhao, Reza Farivar |
| 2026 | CCGRID | Artifact Appendix for Heterogeneous-Resource-Aware Federated Learning with Intelligent LoRA Allocation and Aggregation. | Youye Xie, Yao Lian, Kevin Chen, Abdul Latif, Lingzhi Zhao, Reza Farivar |
| 2026 | MMSys | Trinity: Exploiting Latency Sensitivity to Improve Quality of Experience on Cloud VR Gaming. | Lingzhi Zhao, Yongqiang Gui, Yanyan Suo, Sandesh Dhawaskar Sathyanarayana, Ruixiao Zhang, Klara Nahrstedt, Shu Shi |
| 2026 | Mobisys | AquaScope: Reliable Underwater Image Transmission on Mobile Devices. | Beitong Tian, Lingzhi Zhao, Bo Chen, Mingyuan Wu, Haozhen Zheng, Deepak Vasisht, Francis Y. Yan, Klara Nahrstedt |
| 2024 | GLOBECOM | Knowledge and Model-Driven Deep Reinforcement Learning for Federated Edge Learning. | Yangchen Li, Lingzhi Zhao, Feng Yang |
| 2022 | ICONIP | Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions. | Yimeng Long, Zhaowei Shang, Lingzhi Zhao |
| 2020 | GLOBECOM | Optimal Streaming of 360 VR Videos with Perfect, Imperfect and Unknown FoV Viewing Probabilities. | Lingzhi Zhao, Ying Cui, Chengjun Guo, Zhi Liu |
| 2006 | WWW | Detecting online commercial intention (OCI). | Honghua (Kathy) Dai, Lingzhi Zhao, Zaiqing Nie, Ji-Rong Wen, Lee Wang, Ying Li |