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Publication search results
found 62 matches
- 2024
- Pengfei Wang, Zongzheng Wei, Heng Qi, Shaohua Wan, Yunming Xiao, Geng Sun, Qiang Zhang:
Mitigating Poor Data Quality Impact with Federated Unlearning for Human-Centric Metaverse. IEEE J. Sel. Areas Commun. 42(4): 832-849 (2024) - Lei Huang, Shaofu Lin, Xiliang Liu, Shaohua Wang, Guihong Chen, Qiang Mei, Zhe Fu:
The Cost of Urban Renewal: Annual Construction Waste Estimation via Multi-Scale Target Information Extraction and Attention-Enhanced Networks in Changping District, Beijing. Remote. Sens. 16(11): 1889 (2024) - Pan Xiong, Gang Bian, Qiang Liu, Shaohua Jin, Xiaodong Yin:
Multiscale Bayes Adaptive Threshold Wavelet Transform Geomagnetic Basemap Denoising Taking Residual Constraints into Account. Sensors 24(12): 3847 (2024) - Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu:
ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. EuroSys 2024: 236-249 - Zhiwei Xu, Shaohua Qiang, Dinghong Song, Min Zhou, Hai Wan, Xibin Zhao, Ping Luo, Hongyu Zhang:
DSFM: Enhancing Functional Code Clone Detection with Deep Subtree Interactions. ICSE 2024: 221:1-221:12 - Fei Tong, Kaijing Hu, Wei Li, Shaohua Yu, Weihua Lian, Hanqi Zhao, Bin Wu, Danke Hong, Ming Luo, Qianggao Hu, Jian Xu:
Measurement of optical signal state of polarization in OPGW under lightning strike condition. OFC 2024: 1-3 - Yizhou Luo, Qiang Wang, Shaohuai Shi, Jiaxin Lai, Shuhan Qi, Jiajia Zhang, Xuan Wang:
Scheduling Deep Learning Jobs in Multi-Tenant GPU Clusters via Wise Resource Sharing. CoRR abs/2407.13088 (2024) - 2023
- Shaofu Lin, Xin Yao, Xiliang Liu, Shaohua Wang, Hua-Min Chen, Lei Ding, Jing Zhang, Guihong Chen, Qiang Mei:
MS-AGAN: Road Extraction via Multi-Scale Information Fusion and Asymmetric Generative Adversarial Networks from High-Resolution Remote Sensing Images under Complex Backgrounds. Remote. Sens. 15(13): 3367 (2023) - Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen:
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. IEEE Trans. Medical Imaging 42(5): 1546-1562 (2023) - Yifan Zhang, Qiang Cao, Shaohua Wang, Jie Yao, Hong Jiang:
HF-LDPC: HLS-friendly QC-LDPC FPGA Decoder with High Throughput and Flexibility. ICCD 2023: 566-573 - Qiqiang Zhong, Mengmeng Cui, Hanjie Mai, Qiang Zhang, Shaohua Xu, Xiangzheng Liu, Yanlong Du:
The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning. CoRR abs/2304.03898 (2023) - Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu:
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR abs/2309.01172 (2023) - 2022
- Shaofu Lin, Junjie Zhao, Jianqiang Li, Xiliang Liu, Yumin Zhang, Shaohua Wang, Qiang Mei, Zhuodong Chen, Yuyao Gao:
A Spatial-Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM2.5 Concentration Prediction. Entropy 24(8): 1125 (2022) - Zhaohui Guo, Zhen Gao, Qiang Liu, Chinmay Chakraborty, Qiaozhi Hua, Keping Yu, Shaohua Wan:
RNS-Based Adaptive Compression Scheme for the Block Data in the Blockchain for IIoT. IEEE Trans. Ind. Informatics 18(12): 9239-9249 (2022) - Tian Wang, Yilin Zhang, Neal N. Xiong, Shaohua Wan, Shigen Shen, Shuqiang Huang:
An Effective Edge-Intelligent Service Placement Technology for 5G-and-Beyond Industrial IoT. IEEE Trans. Ind. Informatics 18(6): 4148-4157 (2022) - Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu:
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. ECCV (32) 2022: 437-453 - Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou:
Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising. MICCAI (8) 2022: 13-23 - Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu:
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching. CoRR abs/2207.09796 (2022) - Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou:
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising. CoRR abs/2208.14022 (2022) - 2021
- Chen Chen, Qiang Hui, Wenxuan Xie, Shaohua Wan, Yang Zhou, Qingqi Pei:
Convolutional Neural Networks for forecasting flood process in Internet-of-Things enabled smart city. Comput. Networks 186: 107744 (2021) - Fatima Salahdine, Johnson Opadere, Qiang Liu, Tao Han, Ning Zhang, Shaohua Wu:
A survey on sleep mode techniques for ultra-dense networks in 5G and beyond. Comput. Networks 201: 108567 (2021) - Zhiqiang Zhang, Hongsheng Su, Shaohua Wang:
Research on Multi-objective Optimization Scheduling of Microgrid Based on Particle Swarm Optimization Algorithm. AIAM (ACM) 2021: 15-19 - Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet++: Real-Time and Accurate Disparity Estimation with Configurable Networks. CoRR abs/2110.02582 (2021) - Yihan Lin, Wei Ding, Shaohua Qiang, Lei Deng, Guoqi Li:
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks. CoRR abs/2110.12211 (2021) - 2020
- Shaohua Wan, Zonghua Gu, Qiang Ni:
Cognitive computing and wireless communications on the edge for healthcare service robots. Comput. Commun. 149: 99-106 (2020) - Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu:
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training. CCGRID 2020: 744-751 - Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu:
Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. ECAI 2020: 1467-1474 - Shaohuai Shi, Qiang Wang, Xiaowen Chu:
Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format. ICPADS 2020: 19-26 - Qiang Wang, Shaohuai Shi, Shizhen Zheng, Kaiyong Zhao, Xiaowen Chu:
FADNet: A Fast and Accurate Network for Disparity Estimation. ICRA 2020: 101-107 - Shaohuai Shi, Qiang Wang, Xiaowen Chu, Bo Li, Yang Qin, Ruihao Liu, Xinxiao Zhao:
Communication-Efficient Distributed Deep Learning with Merged Gradient Sparsification on GPUs. INFOCOM 2020: 406-415
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