A 100μW AC-DC Boost Converter for Electromagnetic Energy Harvesting With 0.2 VPeak Self-starting Voltage and 85% Efficiency. - Kangqi Liu; Mingyi Chen; Yiyu Gong; Songhai Fan; Guoxing Wang (APCCAS, 2018)

Height Estimation of Electric Power Transmission Tower Based on Tomography SAR Imaing Method using Staring Spotlight Mode Terrasar-X Data. - Shaochun Su; Yiyu Gong; Songhai Fan; Baolong Wu; Yan Chen 003; Ling Tong 001 (IGARSS, 2018)

Estimation of Ground Deformation of transmission corridors in mountain areas Using Stanford Method. - Shaochun Su; Yiyu Gong; Songhai Fan; Hongbo Zhu; Yan Chen 003; Yunping Chen (IGARSS, 2018)

A Maximum Entropy Segmentation and Gabor Filtering Algorithm for Transformer Oil Conservator Oil Level Detectio. - Yicen Liu; Yanling Mao; Tianbao Wu; Songhai Fan (RICAI, 2020)

Implementation of Kernel P Systems in CUDA for Solving NP-hard Problems. - Songhai Fan; Yiyu Gong; Gexiang Zhang; Yun Xiao; Haina Rong; Prithwineel Paul; Xiaomin Ma; Han Huang; Marian Gheorghe 001 (Int. J. Unconv. Comput., 2021)

Dissolved Gas Analysis for Transformer Fault Based on Learning Spiking Neural P System with Belief AdaBoost. - Xihai Zhang; Gexiang Zhang; Pirthwineel Paul; Jinquan Zhang; Tianbao Wu; Songhai Fan; Xingzhong Xiong (Int. J. Unconv. Comput., 2021)

Dance of Channel and Sequence: An Efficient Attention-Based Approach for Multivariate Time Series Forecasting. - Haoxin Wang; Yipeng Mo; Nan Yin; Honghe Dai; Bixiong Li; Songhai Fan; Site Mo (CoRR, 2023)

Pre-insertion resistors temperature prediction based on improved WOA-SVR. - Honghe Dai; Site Mo; Haoxin Wang; Nan Yin; Songhai Fan; Bixiong Li (CoRR, 2024)

FTMLP: MLP with Feature-Temporal Block for multivariate time series forecasting. - Haoxin Wang; Yipeng Mo; Honghe Dai; Nan Yin; Songhai Fan; Bixiong Li; Site Mo (Neurocomputing, 2024)

TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss. - Site Mo; Haoxin Wang; Bixiong Li; Songhai Fan; Yuankai Wu; Xianggen Liu (Inf. Sci., 2024)

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting. - Haoxin Wang; Yipeng Mo; Kunlan Xiang; Nan Yin; Honghe Dai; Bixiong Li; Songhai Fan; Site Mo (AAAI, 2025)

ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning. - Vy Vo; Lizhen Qu; Tao Feng 013; Yuncheng Hua; Xiaoxi Kang; Songhai Fan; Tim Dwyer; Lay-Ki Soon; Gholamreza Haffari (NAACL (Long Papers), 2025)

From global to local: A lightweight CNN approach for long-term time series forecasting. - Site Mo; Chengteng Yang; Yipeng Mo; Zuhua Yao; Bixiong Li; Songhai Fan; Haoxin Wang (Comput. Electr. Eng., 2025)