| 2023 | FedQL: Q-Learning Guided Aggregation for Federated Learning. | Mei Cao, Mengying Zhao, Tingting Zhang, Nanxiang Yu, Jianbo Lu |
| 2023 | Path Planning of Coastal Ships Based on Improved Hybrid A-Star. | Zhiying Cao, Hongkai Wang, Xiuguo Zhang, Yiquan Du, Dezhen Zhang |
| 2023 | Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information. | Rui Cao, Zhengchang Song, Bingxin Niu, Junhua Gu, Chunjie Li |
| 2023 | Deep Hash Learning of Feature-Invariant Representation for Single-Label and Multi-label Retrieval. | Yuan Cao, Xinzheng Shang, Junwei Liu, Chengzhi Qian, Sheng Chen |
| 2023 | Privacy-Enhanced Dynamic Symmetric Searchable Encryption with Efficient Searches Under Sparse Keywords. | Lingyun Cao, Xiang Li |
| 2023 | Generative Adversarial Network Based Asymmetric Deep Cross-Modal Unsupervised Hashing. | Yuan Cao, Yaru Gao, Na Chen, Jiacheng Lin, Sheng Chen |
| 2023 | Personalized Privacy Risk Assessment Based on Deep Neural Network for Image Sharing on Social Networks. | Hongyun Cai, Ao Zhao, Shiyun Wang, Meiling Zhang, Yu Zhang |
| 2023 | An Improved GPU Acceleration Framework for Smoothed Particle Hydrodynamics. | Yuejin Cai, Jianguo Wei, Jiyou Duan, Qingzhi Hou |
| 2023 | Efficiently Running SpMV on Multi-core DSPs for Banded Matrix. | Deshun Bi, Shengguo Li, Yichen Zhang, Xiaojian Yang, Dezun Dong |
| 2022 | GEM: Execution-Aware Cache Management for Graph Analytics. | Mo Zou, Mingyu Yan, Wenming Li, Zhimin Tang, Xiaochun Ye, Dongrui Fan |
| 2022 | Heterogeneous Graph Based Long- And Short-Term Preference Learning Model for Next POI Recommendation. | Shiyang Zhou, Jinghua Zhu, Heran Xi, Hongjun An |
| 2022 | Optimizing Yinyang K-Means Algorithm on ARMv8 Many-Core CPUs. | Tianyang Zhou, Qinglin Wang, Shangfei Yin, Ruochen Hao, Jie Liu |
| 2022 | Makespan and Security-Aware Workflow Scheduling for Cloud Service Cost Minimization Using Firefly Optimizer. | Chengliang Zhou, Tian Wang, Liying Li, Jin Sun, Junlong Zhou |
| 2022 | Long-Term Fairness Scheduler for Pay-as-You-Use Cache Sharing Systems. | Zhongyu Zhou, Shanjiang Tang, Hao Fu, Wanqing Chang, Ce Yu, Chao Sun, Yusen Li, Jian Xiao |
| 2022 | An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy. | Ran Zheng, Yingxin Jiang, Yibo Wang, Yongbo Su, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin |
| 2022 | Hierarchical Reinforcement Learning-Based Mobility-Aware Content Caching and Delivery Policy for Vehicle Networks. | Le Zhang, Yongxuan Lai, Fan Yang |
| 2022 | PMemTrace: Lightweight and Efficient Memory Access Monitoring for Persistent Memory. | Yushuqing Zhang, Kai Lu, Zhenwei Wu, Wenzhe Zhang |
| 2022 | Compromise Privacy in Large-Batch Federated Learning via Malicious Model Parameters. | Shuaishuai Zhang, Jie Huang, Zeping Zhang, Chunyang Qi |
| 2022 | PXCrypto: A Regulated Privacy-Preserving Cross-Chain Transaction Scheme. | Yanran Zhang, Sheng Hu, Qin Wang, Bo Qin, Qianhong Wu, Wenchang Shi |
| 2022 | SPAC: Scalable Pattern Approximate Counting in Graph Mining. | Ruini Xue, Yijun Wang, Shengbo Liu, Yunxiang Li, Wenhong Tian, Weimin Zheng |
| 2022 | DNNEmu: A Lightweight Performance Emulator for Distributed DNN Training. | Jian Wang, Enda Yu, Dezun Dong, Zhengbin Pang |
| 2022 | SparG: A Sparse GEMM Accelerator for Deep Learning Applications. | Bo Wang, Sheng Ma, Yuan Yuan, Yi Dai, Wei Jiang, Xiang Hou, Xiao Yi, Rui Xu |
| 2022 | pCOVID: A Privacy-Preserving COVID-19 Inference Framework. | Yinqiu Wang, Yuchuan Luo, Lin Liu, Shaojing Fu |
| 2022 | Efficient Remote Memory Paging for Disaggregated Memory Systems. | Tao Wang, Haikun Liu, Hai Jin |
| 2022 | A Web Service Recommendation Method Based on Adaptive Gate Network and xDeepFM. | Zhi Tao, Buqing Cao, Hongfan Ye, Guosheng Kang, Zhenlian Peng, Yiping Wen |