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2020 – today
- 2024
[j7]Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi:
Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. Comput. Geosci. 193: 105711 (2024)- [j6]Xin Ju
, Shiqi Gong, Nan Zhao, Chengwen Xing, Arumugam Nallanathan, Dusit Niyato:
A Framework on Complex Matrix Derivatives With Special Structure Constraints for Wireless Systems. IEEE Trans. Commun. 72(8): 5145-5161 (2024) - [j5]Xin Zhao, Heng Liu, Shiqi Gong, Xin Ju, Chengwen Xing, Nan Zhao:
Dual-Functional MIMO Beamforming Optimization for RIS-Aided Integrated Sensing and Communication. IEEE Trans. Commun. 72(9): 5411-5427 (2024) - [j4]Yasong Cao, Mei Wen, Zhongdi Luo, Xin Ju, Haolan Huang, Junzhong Shen, Haiyan Chen:
ABS: Accumulation Bit-Width Scaling Method for Designing Low-Precision Tensor Core. IEEE Trans. Very Large Scale Integr. Syst. 32(9): 1590-1601 (2024) - [c5]Jing Feng, Mei Wen, Xin Ju, Junzhong Shen, Yang Guo:
Enhancing the PE Utilization for Multi-Precision Systolic Array via Optimizing Computation Latency. ISCAS 2024: 1-5 - 2023
- [i5]Xin Ju, François P. Hamon, Gege Wen, Rayan Kanfar, Mauricio Araya-Polo, Hamdi A. Tchelepi:
Learning CO2 plume migration in faulted reservoirs with Graph Neural Networks. CoRR abs/2306.09648 (2023) - [i4]Xin Zhao, Heng Liu, Shiqi Gong, Xin Ju, Chengwen Xing, Nan Zhao:
Dual-Functional MIMO Beamforming Optimization for RIS-Aided Integrated Sensing and Communication. CoRR abs/2307.08631 (2023) - [i3]Xin Ju, Shiqi Gong, Nan Zhao, Chengwen Xing, Arumugam Nallanathan, Dusit Niyato:
A Framework on Complex Matrix Derivatives with Special Structure Constraints for Wireless Systems. CoRR abs/2311.11574 (2023) - 2022
- [j3]Xin Ju, Ruixin Gou, Yanli Xiao, Zheng Wang, Shangke Liu:
The use of edge computing-based internet of things big data in the design of power intelligent management and control platform. Int. J. Grid Util. Comput. 13(1): 76-86 (2022) - [c4]Bo Yu, Xiaomin Liu, Xin Ju, Ye Wan, Yuanyuan Liu:
Construction Duration Prediction Model of Power Transmission and Transformation Project Based on BP Neural Network. WAC 2022: 217-221 - 2021
- [i2]Meng Tang, Xin Ju, Louis J. Durlofsky:
Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration. CoRR abs/2105.01334 (2021) - [i1]Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François P. Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris:
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage. CoRR abs/2105.09468 (2021) - 2020
- [j2]Xin Ju, Diing Shenp Ang:
Alteration of Gate-Oxide Trap Capture/Emission Time Constants by Channel Hot-Carrier Effect in the Metal-Oxide-Semiconductor Field-Effect Transistor. IEEE Access 8: 14048-14053 (2020) - [c3]Xin Ju, Diing Shenp Ang:
Gate-Oxide Trapping Enabled Synaptic Logic Transistor. IRPS 2020: 1-6
2010 – 2019
- 2019
- [c2]Xin Ju, Xiaofeng Zhang, William K. Cheung:
Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks. ICDE Workshops 2019: 286-293 - [c1]Xin Ju, Diing Shenp Ang:
Response of Switching Hole Traps in the Small-Area P-MOSFET Under Channel Hot-Hole Effect. IRPS 2019: 1-4 - 2018
- [j1]Xin Ju, Wei Liu, Chengyuan Zhang, Anfeng Liu, Tian Wang, Neal N. Xiong, Zhiping Cai:
An Energy Conserving and Transmission Radius Adaptive Scheme to Optimize Performance of Energy Harvesting Sensor Networks. Sensors 18(9): 2885 (2018)
Coauthor Index
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