MLSP-30.5
GLASSOFORMER: A QUERY-SPARSE TRANSFORMER FOR POST-FAULT POWER GRID VOLTAGE PREDICTION
Yunling Zheng, Carson Hu, Jack Xin, University of California, Irvine, United States of America; Guang Lin, Purdue University, United States of America; Meng Yue, Brookhaven National Laboratory, United States of America; Bao Wang, University of Utah, United States of America
Session:
Deep Learning IV
Track:
Machine Learning for Signal Processing
Location:
Gather Area F
Presentation Time:
Wed, 11 May, 20:00 - 20:45 China Time (UTC +8)
Wed, 11 May, 12:00 - 12:45 UTC
Wed, 11 May, 12:00 - 12:45 UTC
Session Chair:
Fei Chen, Southern University of Science and Technology
Session MLSP-30
MLSP-30.1: Memory in Echo State Networks and the Controllability Matrix rank
Brian Whiteaker, Peter Gerstoft, UC San Diego and Scripps Inst. of Oceanography, United States of America
MLSP-30.2: OT CLEANER: LABEL CORRECTION AS OPTIMAL TRANSPORT
Jun Xia, Zhejiang University, Westlake University, China; Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li, Westlake University, China
MLSP-30.3: DEMON: IMPROVED NEURAL NETWORK TRAINING WITH MOMENTUM DECAY
John Chen, Cameron Wolfe, Anastasios Kyrillidis, Rice University, United States of America; Zhao Li, UT Health, United States of America
MLSP-30.4: DEPTH PRUNING WITH AUXILIARY NETWORKS FOR TINYML
Josen Daniel De Leon, Rowel Atienza, University of the Philippines, Philippines
MLSP-30.5: GLASSOFORMER: A QUERY-SPARSE TRANSFORMER FOR POST-FAULT POWER GRID VOLTAGE PREDICTION
Yunling Zheng, Carson Hu, Jack Xin, University of California, Irvine, United States of America; Guang Lin, Purdue University, United States of America; Meng Yue, Brookhaven National Laboratory, United States of America; Bao Wang, University of Utah, United States of America
MLSP-30.6: SAR-ShipNet: SAR-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-resolution Feature Fusion
Yuwen Deng, Donghai Guan, Weiwei Yuan, Jiemin Ji, Mingqiang Wei, Nanjing University of Aeronautics and Astronautics, China; Yanyu Chen, Fudan University, China