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Zhuoran Zhao
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2020 – today
- 2024
- [j9]Yu Zhu, Jing Gu, Zhuoran Zhao, A. W. Edith Chan, Maria F. Mojica, Andrea M. Hujer, Robert A. Bonomo, Shozeb M. Haider:
Deciphering the Coevolutionary Dynamics of L2 β-Lactamases via Deep Learning. J. Chem. Inf. Model. 64(9): 3706-3717 (2024) - [i4]Jiabin Liang, Lanqing Zhang, Zhuoran Zhao, Xiangyu Xu:
InfNeRF: Towards Infinite Scale NeRF Rendering with O(log n) Space Complexity. CoRR abs/2403.14376 (2024) - 2023
- [c8]Jiayin Zhu, Zhuoran Zhao, Linlin Yang, Angela Yao:
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture. DAGM 2023: 115-130 - [i3]Zhuoran Zhao, Jinbin Bai, Delong Chen, Debang Wang, Yubo Pan:
Taming Diffusion Models for Music-driven Conducting Motion Generation. CoRR abs/2306.10065 (2023) - [i2]Jiayin Zhu, Zhuoran Zhao, Linlin Yang, Angela Yao:
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture. CoRR abs/2308.13628 (2023) - 2021
- [c7]Michael Lui, Yavuz Yetim, Özgür Özkan, Zhuoran Zhao, Shin-Yeh Tsai, Carole-Jean Wu, Mark Hempstead:
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference. ISPASS 2021: 162-171 - 2020
- [j8]Zhuoran Zhao, Jun Zhu, Yi Xu, Xingyun Geng:
Using Radiomic Features to Predict Visual Prognosis of Idiopathic Macular Hole Surgery. J. Medical Imaging Health Informatics 10(11): 2773-2777 (2020) - [j7]Zhuoran Zhao, Jun Zhu, Yi Xu, Xingyun Geng:
Using Radiomic Features to Predict Visual Prognosis of Idiopathic Macular Hole Surgery. J. Medical Imaging Health Informatics 10(11): 2773-2777 (2020) - [j6]Zhuoran Zhao, Kamyar Mirzazad Barijough, Andreas Gerstlauer:
Network-level Design Space Exploration of Resource-constrained Networks-of-Systems. ACM Trans. Embed. Comput. Syst. 19(4): 22:1-22:26 (2020) - [i1]Michael Lui, Yavuz Yetim, Özgür Özkan, Zhuoran Zhao, Shin-Yeh Tsai, Carole-Jean Wu, Mark Hempstead:
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference. CoRR abs/2011.02084 (2020)
2010 – 2019
- 2019
- [j5]Kamyar Mirzazad Barijough, Zhuoran Zhao, Andreas Gerstlauer:
Quality/Latency-Aware Real-time Scheduling of Distributed Streaming IoT Applications. ACM Trans. Embed. Comput. Syst. 18(5s): 83:1-83:23 (2019) - [c6]Rafael Stahl, Zhuoran Zhao, Daniel Mueller-Gritschneder, Andreas Gerstlauer, Ulf Schlichtmann:
Fully Distributed Deep Learning Inference on Resource-Constrained Edge Devices. SAMOS 2019: 77-90 - 2018
- [j4]Nguyen T. H. Nguyen, Dimitris Agiakatsikas, Zhuoran Zhao, Tong Wu, Ediz Cetin, Oliver Diessel, Lingkan Gong:
Reconfiguration Control Networks for FPGA-based TMR systems with modular error recovery. Microprocess. Microsystems 60: 86-95 (2018) - [j3]Zhuoran Zhao, Kamyar Mirzazad Barijough, Andreas Gerstlauer:
DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2348-2359 (2018) - [j2]Zhuoran Zhao, Nguyen T. H. Nguyen, Dimitris Agiakatsikas, Ganghee Lee, Ediz Cetin, Oliver Diessel:
Fine-Grained Module-Based Error Recovery in FPGA-Based TMR Systems. ACM Trans. Reconfigurable Technol. Syst. 11(1): 4:1-4:23 (2018) - 2017
- [j1]Zhuoran Zhao, Andreas Gerstlauer, Lizy K. John:
Source-Level Performance, Energy, Reliability, Power and Thermal (PERPT) Simulation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(2): 299-312 (2017) - [c5]Zhuoran Zhao, Vasileios Tsoutsouras, Dimitrios Soudris, Andreas Gerstlauer:
Network/system co-simulation for design space exploration of IoT applications. SAMOS 2017: 46-53 - 2016
- [c4]Dimitris Agiakatsikas, Nguyen T. H. Nguyen, Zhuoran Zhao, Tong Wu, Ediz Cetin, Oliver Diessel, Lingkan Gong:
Reconfiguration Control Networks for TMR Systems with Module-Based Recovery. FCCM 2016: 88-91 - [c3]Zhuoran Zhao, Dimitris Agiakatsikas, Nguyen T. H. Nguyen, Ediz Çetin, Oliver Diessel:
Fine-grained module-based error recovery in FPGA-based TMR systems. FPT 2016: 101-108 - [c2]Lingkan Gong, Tong Wu, Nguyen T. H. Nguyen, Dimitris Agiakatsikas, Zhuoran Zhao, Ediz Cetin, Oliver Diessel:
A Programmable Configuration Controller for fault-tolerant applications. FPT 2016: 117-124 - 2013
- [c1]Suhas Chakravarty, Zhuoran Zhao, Andreas Gerstlauer:
Automated, retargetable back-annotation for host compiled performance and power modeling. CODES+ISSS 2013: 36:1-36:10
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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