Wenkai Lv - RankMe

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Alternating optimization for energy consumption-oriented task offloading in SAGIN. Comput. Networks Pengfei Yang, Tianyang Zheng, Shuyu Zhang, Weidi Su, Bijie Yi, Wenkai Lv, Quan Wang
2025	J	`jnl`	Cortex: Enhancing Resource Utilization in Edge Clusters Through Efficient Co-Location of LC and BE Workloads. IEEE Internet Things J. Tianyang Zheng, Pengfei Yang, Quan Wang, Shuyu Zhang, Hui Li, Wenkai Lv
2025	J	`jnl`	PipeMCTS: Pipeline Inference Optimization for Edge Computing via Surrogate Model-Guided MCTS. IEEE Internet Things J. Zhenyi Wang, Jianjun Ding, Dan Xian, Yusheng Jin, Dejun Hua, Wenbin Hua, Wenkai Lv, Chengmin Lin
2025	J	`jnl`	Yan: Foundational Interactive Video Generation. CoRR Deheng Ye, Fangyun Zhou, Jiacheng Lv, Jianqi Ma, Jun Zhang, Junyan Lv, Junyou Li, Minwen Deng, Mingyu Yang, Qiang Fu, Wei Yang, Wenkai Lv, Yangbin Yu, Yewen Wang, Yonghang Guan, Zhihao Hu, Zhongbin Fang, Zhongqian Sun
2024	J	`jnl`	Fine-grained complexity-driven latency predictor in hardware-aware neural architecture search using composite loss. Inf. Sci. Chengmin Lin, Pengfei Yang, Chengcheng Li, Fei Cheng, Wenkai Lv, Zhenyi Wang, Quan Wang
2024	J	`jnl`	Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC. Inf. Sci. Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Quan Wang
2024	J	`jnl`	Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing. IEEE Internet Things J. Wenkai Lv, Pengfei Yang, Tianyang Zheng, Chengmin Lin, Zhenyi Wang, Minwen Deng, Quan Wang
2024	J	`jnl`	Performance Prediction for Deep Learning Models With Pipeline Inference Strategy. IEEE Internet Things J. Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Cheng Zhang, Quan Wang
2024	J	`jnl`	SLAPP: Subgraph-level attention-based performance prediction for deep learning models. Neural Networks Zhenyi Wang, Pengfei Yang, Linwei Hu, Bowen Zhang, Chengmin Lin, Wenkai Lv, Quan Wang
2023	J	`jnl`	Efficient and accurate compound scaling for convolutional neural networks. Neural Networks Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, Wenkai Lv, Zhenyi Wang
2023	J	`jnl`	Energy Consumption and QoS-Aware Co-Offloading for Vehicular Edge Computing. IEEE Internet Things J. Wenkai Lv, Pengfei Yang, Tianyang Zheng, Bijie Yi, Yunqing Ding, Quan Wang, Minwen Deng
2023	J	`jnl`	Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks. Remote. Sens. Wenkai Lv, Pengfei Yang, Yunqing Ding, Zhenyi Wang, Chengmin Lin, Quan Wang
2022	J	`jnl`	Confidentiality and Integrity Schemes for Multicore Shared Memory Systems. J. Circuits Syst. Comput. Pengfei Yang, Wenkai Lv, Jiayang Huang, Quan Wang, Xiaokun Huang, Kun Xie
2022	J	`jnl`	Microservice Deployment in Edge Computing Based on Deep Q Learning. IEEE Trans. Parallel Distributed Syst. Wenkai Lv, Quan Wang, Pengfei Yang, Yunqing Ding, Bijie Yi, Zhenyi Wang, Chengmin Lin