Wang Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
11
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DATE | Linearization of Quadrature Digital Power Amplifiers by Neural Network of ULR_LSTM: Unsupervised Learning Residual LSTM. | Jiayu Yang, Luyi Guo, Yicheng Li, Wang Wang, Zixu Li, Manni Li, Zijian Huang, Yinyin Lin, Yun Yin, Hongtao Xu |
| 2025 | ISCAS | CPSnB: Compressing and Processing Spatial Similarity near Memory Bank for DNNs. | Wang Wang, Xin Zhong, Manni Li, Zixu Li, Jiayu Yang, Zijian Huang, Yinyin Lin, Chengchen Wang, Xiankui Xiong |
| 2025 | ISCAS | APCPU: Adaptive-Pooling Compression Processing Unit for Energy-Efficient DNNs Processing. | Wang Wang, Wending Zhao, Manni Li, Zixu Li, Jiayu Yang, Zijian Huang, Yinyin Lin, Chengchen Wang, Xiankui Xiong |
| 2024 | ISCAS | LauWS: Local Adaptive Unstructured Weight Sparsity of Load Balance for DNN in Near-Data Processing. | Zixu Li, Wang Wang, Xin Zhong, Manni Li, Jiayu Yang, Yinyin Lin, Guhyun Kim, Yosub Song, Chengchen Wang, Xiankui Xiong |
| 2023 | ICA3PP | A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction. | Wang Wang, Xuehai Tang, Biyu Zhou, Yangchen Dong, Yuanhang Feng, Jizhong Han, Songlin Hu |
| 2022 | HPCC | Fine-grained Spatiotemporal Features-Based for Anomaly Detection in Microservice Systems. | Xikang Yang, Juan Wang, Biyu Zhou, Wang Wang, Wantao Liu, Yangchen Dong |
| 2022 | IWQoS | Improving disk failure detection accuracy via data augmentation. | Wang Wang, Xuehai Tang, Biyu Zhou, Wenjie Xiao, Jizhong Han, Songlin Hu |
| 2021 | ICA3PP | Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning. | Wenjie Xiao, Xuehai Tang, Biyu Zhou, Wang Wang, Yangchen Dong, Liangjun Zang, Jizhong Han, Songlin Hu |
| 2021 | ICCS | Grasp the Key: Towards Fast and Accurate Host-Based Intrusion Detection in Data Centers. | Mengtian Gu, Biyu Zhou, Fengyang Du, Xuehai Tang, Wang Wang, Liangjun Zang, Jizhong Han, Songlin Hu |
| 2020 | DAC | Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning. | Jinrong Guo, Songlin Hu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu |
| 2020 | ICASSP | Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. | Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu |
| 2019 | HPCC | Nanily: A QoS-Aware Scheduling for DNN Inference Workload in Clouds. | Xuehai Tang, Peng Wang, Qiuyang Liu, Wang Wang, Jizhong Han |
| 2019 | ICCD | AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks. | Jinrong Guo, Wantao Liu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu |
| 2019 | PPoPP | A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster. | Jinrong Guo, Wantao Liu, Wang Wang, Qu Lu, Songlin Hu, Jizhong Han, Ruixuan Li |
| 2007 | WSC | Empirical investigations of conceptual modeling and the modeling process. | Wang Wang, Roger J. Brooks |