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Journal Articles
- 2022
[j4]Ji Jin
, Haiying Zhang, Xingguang Geng, Yitao Zhang, Tianchun Ye:
The pulse waveform quantification method basing on contour and derivative. Comput. Methods Programs Biomed. 220: 106784 (2022)- 2020
- [j3]Ji Jin, Bin Wang, Min Yu, Jiang Liu, Wenbo Wang:
A Novel Self-Adaptive Wind Speed Prediction Model Considering Atmospheric Motion and Fractal Feature. IEEE Access 8: 215892-215903 (2020) - 2015
- [j2]Jizhong Deng, Huasheng Huang, Xiaoli Yu, Ji Jin, Weisen Lin, Fagen Li, Zhijiao Song, Mei Li, Siming Gan:
DiSNPindel: improved intra-individual SNP and InDel detection in direct amplicon sequencing of a diploid. BMC Bioinform. 16: 343:1-343:8 (2015) - 2003
- [j1]Ning An, Ji Jin, Anand Sivasubramaniam:
Toward an Accurate Analysis of Range Queries on Spatial Data. IEEE Trans. Knowl. Data Eng. 15(2): 305-323 (2003)
Conference and Workshop Papers
- 2024
- [c6]Ji Jin, Yufa Zhou, Weiwei Xu, Lin Cheng:
A 97.3%-Peak-Efficiency Always-Dual-Path Buck-Boost Converter with Single-Mode Operation and Fast Transient Responses. CICC 2024: 1-2 - [c5]Ji Jin, Weiwei Xu, Lin Cheng:
8.1 A 94.5%-Peak-Efficiency 3.99W/mm2-Power-Density Single-Inductor Bipolar-Output Converter with a Concise PWM Control for AMOLED Displays. ISSCC 2024: 144-146 - [c4]Yichao Ji, Ji Jin, Lin Cheng:
A 12V-Input 1V-1.8V-Output 94.7%-Peak-Efficiency 685A/cm3-Current-Density Hybrid DC-DC Converter with a Charge Converging Phase. ISSCC 2024: 458-460 - 2023
- [c3]Ji Jin, Jialin Bi, Cunquan Qu:
SGNN: A New Method for Learning Representations on Signed Networks. ICANN (5) 2023: 447-458 - [c2]Ji Jin, Yufa Zhou, Changjin Chen, Xu Han, Weiwei Xu, Lin Cheng:
A 98.6%-Peak-Efficiency 1.47A/mm2-Current-Density Buck-Boost Converter with Always Reduced Conduction Loss. ISSCC 2023: 448-449 - 2000
- [c1]Ji Jin, Ning An, Anand Sivasubramaniam:
Analyzing Range Queries on Spatial Data. ICDE 2000: 525-534
Data and Artifacts
- 2019
- [d1]Ji Jin:
wind speed data. IEEE DataPort, 2019
Informal and Other Publications
- 2020
- [i1]Jialin Bi, Ji Jin, Cunquan Qu, Xiuxiu Zhan, Guanghui Wang:
Temporal Gravity Model for Important Nodes Identification in Temporal Networks. CoRR abs/2007.02097 (2020)
Coauthor Index
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