Causal-inspired learning-based method for unbiased pest recognition - Zhaoting Liu; Ji Jin; Yanming Zhang; Shifeng Dong; Yan Zhang; Chuanwen Lin; Yue Teng (Expert Syst. Appl., 2026)

A Battery-to-3.4 V Hybrid Buck-Boost Converter With Always Reduced Conduction Loss - Ji Jin; Yufa Zhou; Changjin Chen; Xu Han; Weiwei Xu; Lin Cheng (IEEE J. Solid State Circuits, 2025)

A High-Density Hybrid Buck Converter with a Charge Converging Phase Reducing Inductor Current for 12V Power Supply Systems - Yichao Ji; Ji Jin; Lin Cheng (Proceedings of the 30th Asia and South Pacific Design Automation Conference, ASPDAC 2025, Tokyo, Japan, January 20-23, 2025, 2025)

9.4 A 102ns/V 94.3\(^%\)-Peak-Efficiency Symbol-Power-Tracking Supply Modulator for 5G NR Power Amplifiers - Minghao Shang; Baochuang Wang; Changjin Chen; Ji Jin; Lin Cheng (IEEE International Solid-State Circuits Conference, ISSCC 2025, San Francisco, CA, USA, February 16-20, 2025, 2025)

9.11 A 98.3%-Peak-Efficiency Single-Mode Hybrid Buck-Boost Converter with 7mV Maximum Output Ripple for Li-Ion Battery Management - Ji Jin; Ruoshu Yang; Weiwei Xu; Lin Cheng (IEEE International Solid-State Circuits Conference, ISSCC 2025, San Francisco, CA, USA, February 16-20, 2025, 2025)

A 12-to-1-1.8-V Hybrid DC-DC Converter With a Charge Converging Phase for Inductor Current Reduction - Yichao Ji; Ji Jin; Lin Cheng (IEEE J. Solid State Circuits, 2024)

A Hybrid Single-Inductor Bipolar-Output Converter With a Concise PWM Control for AMOLED Displays - Ji Jin; Weiwei Xu; Lin Cheng (IEEE J. Solid State Circuits, 2024)

A 97.3\(^%\)-Peak-Efficiency Always-Dual-Path Buck-Boost Converter with Single-Mode Operation and Fast Transient Responses - Ji Jin; Yufa Zhou; Weiwei Xu; Lin Cheng (IEEE Custom Integrated Circuits Conference, CICC 2024, Denver, CO, USA, April 21-24, 2024, 2024)

8.1 A 94.5%-Peak-Efficiency 3.99W/mm\(^2\)-Power-Density Single-Inductor Bipolar-Output Converter with a Concise PWM Control for AMOLED Displays - Ji Jin; Weiwei Xu; Lin Cheng (IEEE International Solid-State Circuits Conference, ISSCC 2024, San Francisco, CA, USA, February 18-22, 2024, 2024)

A 12V-Input 1V-1.8V-Output 94.7%-Peak-Efficiency 685A/cm\(^3\)-Current-Density Hybrid DC-DC Converter with a Charge Converging Phase - Yichao Ji; Ji Jin; Lin Cheng (IEEE International Solid-State Circuits Conference, ISSCC 2024, San Francisco, CA, USA, February 18-22, 2024, 2024)

SGNN: A New Method for Learning Representations on Signed Networks - Ji Jin; Jialin Bi; Cunquan Qu (Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part V, 2023)

A 98.6\(^%\)-Peak-Efficiency 1.47A/mm2-Current-Density Buck-Boost Converter with Always Reduced Conduction Loss - Ji Jin; Yufa Zhou; Changjin Chen; Xu Han; Weiwei Xu; Lin Cheng (IEEE International Solid- State Circuits Conference, ISSCC 2023, San Francisco, CA, USA, February 19-23, 2023, 2023)

The pulse waveform quantification method basing on contour and derivative - Ji Jin; Haiying Zhang; Xingguang Geng; Yitao Zhang; Tianchun Ye (Comput. Methods Programs Biomed., 2022)

A Novel Self-Adaptive Wind Speed Prediction Model Considering Atmospheric Motion and Fractal Feature - Ji Jin; Bin Wang; Min Yu; Jiang Liu; Wenbo Wang (IEEE Access, 2020)

Temporal Gravity Model for Important Nodes Identification in Temporal Networks - Jialin Bi; Ji Jin; Cunquan Qu; Xiuxiu Zhan; Guanghui Wang (CoRR, 2020)

wind speed data - Ji Jin (IEEE DataPort, 2019)
Accessed on YYYY-MM-DD.

DiSNPindel: improved intra-individual SNP and InDel detection in direct amplicon sequencing of a diploid - Jizhong Deng; Huasheng Huang; Xiaoli Yu; Ji Jin; Weisen Lin; Fagen Li; Zhijiao Song; Mei Li; Siming Gan (BMC Bioinform., 2015)

Toward an Accurate Analysis of Range Queries on Spatial Data - Ning An; Ji Jin; Anand Sivasubramaniam (IEEE Trans. Knowl. Data Eng., 2003)

Analyzing Range Queries on Spatial Data - Ji Jin; Ning An; Anand Sivasubramaniam (Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28 - March 3, 2000, 2000)