| 2026 | INFOCOM | Venus: An Efficient Edge Memory-and-Retrieval System for VLM-based Online Video Understanding. | Shengyuan Ye, Bei Ouyang, Tianyi Qian, Liekang Zeng, Mu Yuan, Xiaowen Chu, Weijie Hong, Xu Chen |
| 2025 | INFOCOM | Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices. | Shengyuan Ye, Bei Ouyang, Liekang Zeng, Tianyi Qian, Xiaowen Chu, Jian Tang, Xu Chen |
| 2025 | RTSS | Grape: Efficient Spatiotemporal Prediction Services with Stale Sensing Streams. | Liekang Zeng, Yunchao Liu, Shengyuan Ye, Mu Yuan, Di Duan, Xu Chen, Guoliang Xing |
| 2024 | DATE | Communication-Efficient Model Parallelism for Distributed In-Situ Transformer Inference. | Yuanxin Wei, Shengyuan Ye, Jiazhi Jiang, Xu Chen, Dan Huang, Jiangsu Du, Yutong Lu |
| 2024 | ICPP | Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-tuning. | Bei Ouyang, Shengyuan Ye, Liekang Zeng, Tianyi Qian, Jingyi Li, Xu Chen |
| 2024 | INFOCOM | Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference. | Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen |
| 2024 | MOBICOM | Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices. | Shengyuan Ye, Liekang Zeng, Xiaowen Chu, Guoliang Xing, Xu Chen |
| 2024 | NPC | MEGA: Mesh-Aligned 3DGS Towards Geometry-Preserving Online Reconstruction. | Ke Luo, Shengyuan Ye, Tao Ouyang, Zhi Zhou |
| 2022 | ICPP | Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training. | Shengyuan Ye, Liekang Zeng, Qiong Wu, Ke Luo, Qingze Fang, Xu Chen |