| 2024 | DAC | PowerLens: An Adaptive DVFS Framework for Optimizing Energy Efficiency in Deep Neural Networks. | Jiawei Geng, Zongwei Zhu, Weihong Liu, Xuehai Zhou, Boyu Li |
| 2024 | ICCAD | EPipe: Pipeline Inference Framework with High-quality Offline Parallelism Planning for Heterogeneous Edge Devices. | Yi Xiong, Weihong Liu, Rui Zhang, Yulong Zu, Zongwei Zhu, Xuehai Zhou |
| 2022 | DAC | Sniper: cloud-edge collaborative inference scheduling with neural network similarity modeling. | Weihong Liu, Jiawei Geng, Zongwei Zhu, Jing Cao, Zirui Lian |
| 2022 | ICCD | FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems. | Zirui Lian, Weihong Liu, Jing Cao, Zongwei Zhu, Xuehai Zhou |
| 2021 | DAC | HADFL: Heterogeneity-aware Decentralized Federated Learning Framework. | Jing Cao, Zirui Lian, Weihong Liu, Zongwei Zhu, Cheng Ji |
| 2021 | ICCD | AGQFL: Communication-efficient Federated Learning via Automatic Gradient Quantization in Edge Heterogeneous Systems. | Zirui Lian, Jing Cao, Yanru Zuo, Weihong Liu, Zongwei Zhu |
| 2012 | VTC | LTE In-Band Relay Prototype and Field Measurement. | Jiansong Gan, Zhiheng Guo, Kristofer Sandlund, Jianjun Liu, Xiaodong Shen, Rui Fan, Weihong Liu, Hai Wang, Guangyi Liu |
| 2010 | ICSOC | Adaptive Service Composition Based on Reinforcement Learning. | Hongbing Wang, Xuan Zhou, Xiang Zhou, Weihong Liu, Wenya Li, Athman Bouguettaya |
| 2010 | ICTAI | Adaptive and Dynamic Service Composition Using Q-Learning. | Hongbing Wang, Xuan Zhou, Xiang Zhou, Weihong Liu, Wenya Li |