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ORCIDQiyang Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j16]Qiyang Zhang
, Zuo Zhu, Ao Zhou, Qibo Sun, Schahram Dustdar, Shangguang Wang:
Energy-Efficient Federated Training on Mobile Device. IEEE Netw. 38(1): 180-186 (2024)- [j15]Qiyang Zhang, Xiangying Che, Yijie Chen, Xiao Ma, Mengwei Xu, Schahram Dustdar, Xuanzhe Liu, Shangguang Wang:
A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection. IEEE Trans. Mob. Comput. 23(5): 5069-5082 (2024) - [j14]Qiyang Zhang, Yingying Hu, Yumo Zhao, Jing Cheng, Wei Fan, Debin Hu, Fuxiao Shi, Shuangliang Cao, Yun Zhou, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Deep Generalized Learning Model for PET Image Reconstruction. IEEE Trans. Medical Imaging 43(1): 122-134 (2024) - [c9]Jinglong Guan, Qiyang Zhang, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Shangguang Wang:
Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams. ICC 2024: 3803-3808 - [c8]Qiyang Zhang, Xin Yuan, Ruolin Xing, Yiran Zhang, Zimu Zheng, Xiao Ma, Mengwei Xu, Schahram Dustdar, Shangguang Wang:
Resource-efficient In-orbit Detection of Earth Objects. INFOCOM 2024: 551-560 - [c7]Yijie Chen, Qiyang Zhang, Ruolin Xing, Yuanzhe Li, Xiao Ma, Chaoxin Yu, Yiran Zhang, Ao Zhou, Shangguang Wang:
Energy-Aware Satellite-Ground Co-Inference via Layer-Wise Processing Schedule Optimization. Internetware 2024 - [c6]Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang:
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. KDD 2024: 3222-3232 - [c5]Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. WSDM 2024: 760-768 - [i12]Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu:
A Survey of Resource-efficient LLM and Multimodal Foundation Models. CoRR abs/2401.08092 (2024) - [i11]Qiyang Zhang, Xin Yuan, Ruolin Xing, Yiran Zhang, Zimu Zheng, Xiao Ma, Mengwei Xu, Schahram Dustdar, Shangguang Wang:
Resource-efficient In-orbit Detection of Earth Objects. CoRR abs/2402.01675 (2024) - [i10]Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar:
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression. CoRR abs/2403.16677 (2024) - [i9]Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang:
Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. CoRR abs/2407.20499 (2024) - [i8]Ruohan Li, Hualan Wang, Qiyang Zhang, Ting Nie:
A Novel Highway Traffic Capacity Analyzing Method under Road Region Atmospheric Environment Constrains Based on Computational Fluid Dynamics Model. CoRR abs/2408.00896 (2024) - 2023
- [j13]Zhenxing Huang, Wenbo Li, Yunling Wang, Zhou Liu, Qiyang Zhang, Yuxi Jin, Ruodai Wu, Guotao Quan, Dong Liang, Zhanli Hu, Na Zhang:
MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks. Artif. Intell. Medicine 143: 102609 (2023) - [j12]Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang, Guotao Quan, Xiang Li, Dong Liang, Zhanli Hu:
Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC). Biomed. Signal Process. Control. 86(Part B): 105225 (2023) - [c4]Yijie Chen, Qiyang Zhang, Yiran Zhang, Xiao Ma, Ao Zhou:
Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites. ICNP 2023: 1-6 - [i7]Jinglong Guan, Qiyang Zhang, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar, Shangguang Wang:
Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams. CoRR abs/2311.06073 (2023) - [i6]Shangguang Wang, Qiyang Zhang, Ruolin Xing, Fei Qi, Mengwei Xu:
The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native Satellites. CoRR abs/2311.06078 (2023) - [i5]Yijie Chen, Qiyang Zhang, Yiran Zhang, Xiao Ma, Ao Zhou:
Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites. CoRR abs/2311.13509 (2023) - [i4]Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. CoRR abs/2312.04815 (2023) - 2022
- [j11]Qiyang Zhang, Shangguang Wang, Ao Zhou, Xiao Ma:
Cost-aware edge server placement. Int. J. Web Grid Serv. 18(1): 83-98 (2022) - [j10]Kanglei Zhou, Qiyang Zhang, Juntao Li:
TSVMPath: Fast Regularization Parameter Tuning Algorithm for Twin Support Vector Machine. Neural Process. Lett. 54(6): 5457-5482 (2022) - [j9]Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Qiyang Zhang, Yilong Liu, Chuang Sun, Xuefeng Chen:
Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory. IEEE Trans. Ind. Informatics 18(1): 185-196 (2022) - [c3]Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu:
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. WWW 2022: 3298-3307 - [i3]Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu:
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. CoRR abs/2202.06512 (2022) - 2021
- [j8]Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. Neurocomputing 428: 104-115 (2021) - [j7]Qiyang Zhang, Zhibin Zhao, Xingwu Zhang, Yilong Liu, Chuang Sun, Ming Li, Shibin Wang, Xuefeng Chen:
Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - [j6]Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen:
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study. IEEE Trans. Instrum. Meas. 70: 1-28 (2021) - [i2]Akash Pallath, Qiyang Zhang:
Paperfetcher: A tool to automate handsearch for systematic reviews. CoRR abs/2110.12490 (2021) - 2020
- [j5]Qiyang Zhang, Juan Gao, Yongshuai Ge, Na Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
PET Image Reconstruction Using a Cascading Back-Projection Neural Network. IEEE J. Sel. Top. Signal Process. 14(6): 1100-1111 (2020) - [j4]Zhiyuan Huang, Zixiang Chen, Qiyang Zhang, Guotao Quan, Min Ji, Chengjin Zhang, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Zhanli Hu:
CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging. IEEE Trans. Computational Imaging 6: 1203-1218 (2020)
2010 – 2019
- 2019
- [j3]Qiyang Zhang, Shengwu Xiong, Anna Zhu:
Neural Style Transfer for Characters Synthesis via Stack Network. Aust. J. Intell. Inf. Process. Syst. 16(2): 50-58 (2019) - [j2]Peijian Gu, Changhui Jiang, Min Ji, Qiyang Zhang, Yongshuai Ge, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu:
Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests. Sensors 19(1): 207 (2019) - [c2]Anna Zhu, Qiyang Zhang, Xiongbo Lu, Shengwu Xiong:
Character Image Synthesis Based on Selected Content and Referenced Style Embedding. ICME 2019: 374-379 - [c1]Masamichi Shimosaka, Qiyang Zhang, Kazunari Takeichi:
Robust Health Score Prediction from Pyro-Sensor Activity Data based on Greedy Feature Selection. PerCom Workshops 2019: 467-473 - [i1]Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, Chuang Sun, Shibin Wang, Ruqiang Yan, Xuefeng Chen:
Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study. CoRR abs/1912.12528 (2019) - 2011
- [j1]Zhanli Hu, Jianbao Gui, Jing Zou, Junyan Rong, Qiyang Zhang, Hairong Zheng, Dan Xia:
Geometric Calibration of a Micro-CT System and Performance for Insect Imaging. IEEE Trans. Inf. Technol. Biomed. 15(4): 655-660 (2011)
Coauthor Index
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