| 2026 | ICDCS | Chimera: An Efficient Multimodal Embodied Inference Framework with Complexity-Aware Edge-Cloud Routing. | Siqi Luo, Muen Xue, Liekang Zeng, Tao Ouyang, Pu Wang, Shaoyong Guo, Xu Chen |
| 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 |
| 2026 | Mobisys | Collaborative Edge AI for Physical Agents. | Liekang Zeng |
| 2026 | SENSYS | COACH: Adaptive Robust Human-Robot Collaboration for Efficient Smart Manufacturing. | Hui Wang, Liekang Zeng, Zhiwen Yu, Yao Zhang, Di Duan, Mu Yuan, Bin Guo, Guoliang Xing |
| 2025 | INFOCOM | Multi-Tier Multi-Node Scheduling of LLM for Collaborative AI Computing. | Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang |
| 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 | Mobisys | Poster: Mobile Menstrual Health Advising with Multimodal Feature Engineering. | Xiang Ji, Liekang Zeng, Zhenyu Yan, Yunqi Guo, Hongkai Chen, Yao Wang, Guoliang Xing |
| 2025 | SIGCOMM | SCX: Stateless KV-Cache Encoding for Cloud-Scale Confidential Transformer Serving. | Mu Yuan, Lan Zhang, Liekang Zeng, Siyang Jiang, Bufang Yang, Di Duan, Guoliang Xing |
| 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 | ICDCS | Service Localization and User Satisfaction Enabled Multi-Tier Computing IoT System. | Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Liantao Wu, Zening Liu |
| 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 | Delay Analysis of Multi-Priority Computing Tasks in Alibaba Cluster Traces. | Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Xiaohu Ge, Liantao Wu |
| 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 | INFOCOM | SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation Missions. | Zhiwei Zhai, Liekang Zeng, Tao Ouyang, Shuai Yu, Qianyi Huang, 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 |
| 2023 | IWQoS | Chained-DP: Can We Recycle Privacy Budget? | Jingyi Li, Guangjing Huang, Liekang Zeng, Lin Chen, Xu Chen |
| 2022 | ICDCS | AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones. | Haowei Chen, Liekang Zeng, Xiaoxi Zhang, Xu Chen |
| 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 |
| 2022 | WWW | Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. | Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen |
| 2019 | RTSS | Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning. | Tao Ouyang, Xu Chen, Liekang Zeng, Zhi Zhou |