MLSP-P45: Representation Learning for Structured Signals
Poster
Thu, 7 May, 09:00 - 11:00
Location: Poster Area 5
Session Type: Poster
Session Chair: Zhikui Chen, Dalian University of Technology
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P45.1: PATCH-AWARE DECOMPOSITION AND DYNAMIC FUSION NETWORK FOR MULTIVARIATE TIME SERIES FORECASTING
Jian Zhou, Wuqing Yu, Weichen Guo, Jiacai Zhang, Beijing Normal University, China
 

MLSP-P45.2: FORSE: A RETRIEVAL-AUGMENTED FRAMEWORK FOR TIME SERIES FORECASTING
Xiaozhe Wang, Meijun Sun, Haowei Ran, Zheng Wang, Tianjin University, China; Ning Shi, Yunbin Ma, Pipechina Institute of Science and Technology, China; Qinghua Hu, Tianjin University, China
 

MLSP-P45.3: From Decomposition to Fusion: Anomaly Detection with Temporal Correlation-Data Dependency Discrepancy Analysis
Lijuan Xu, Guangrun Zhou, Dawei Zhao, Fuqiang Yu, Weizhao Song, Haoran Li, Qilu University of Technology (Shandong Academy of Sciences), China
 

MLSP-P45.4: LONG-TAILED TIME SERIES CLASSIFICATION WITH NOISY LABELS
Zhikui Chen, Yu Zhou, Meng Liu, Dalian University of Technology, China
 

MLSP-P45.5: BAMoE: Bi-Attention Synergy with Expert Routing for Time Series Anomaly Detection
Haoran Li, Lijuan Xu, Dawei Zhao, Qilu University of Technology (Shandong Academy of Sciences), China
 

MLSP-P45.6: DIFFUSION RESIDUAL MODELING FOR LONG-TERM TIME SERIES FORECASTING
Haoxiang Qi, Chinese Academy of Sciences, China; Yiyong Xiao, Independent Researcher, China; Wenzhe Zhao, Chinese Academy of Sciences, China; Yang Zhao, Peking University Health Science Center, China
 

MLSP-P45.7: CAN META-LEARNING ADDRESS THE CHALLENGES OF BIOSIGNAL PERSONALIZATION?
Yong-Yeon Jo, Jong-Hwan Jang, Jaeho Park, Jin Yu, Joon-myoung Kwon, Junho Song, MedicalAI Inc., Korea, Republic of
 

MLSP-P45.8: BEYOND VISUAL REALISM: TOWARD RELIABLE FINANCIAL TIME SERIES GENERATION
Fan Zhang, The University of Tokyo, Japan; Jiabin Luo, Peking University, China; Zheng Zhang, The University of Tokyo, Japan; Shuanghong Huang, Agency for Science, Technology and Research (A*STAR), China; Zhipeng Liu, Northeastern University, China; Yu Chen, The University of Tokyo, Japan
 

MLSP-P45.9: REGION GROWING PHYSICS-INFORMED NEURAL NETWORK FOR WIND FIELD RECONSTRUCTION FROM SPARSE DATA
Lei Liu, Ziqian Hu, Hongwei Zhao, Jiahui Huang, Tengyuan Liu, Hong Wang, Bin Li, University of Science and Technology of China, China
 

MLSP-P45.10: FAST QR: FAST, ACCURATE AND STABLE QUANTILE REGRESSION FOR TIME-SERIES ANALYSIS VIA ADAPTIVE HUBER SMOOTHING
Zhiyu Li, University of Science and Technology of China, China; Xi Xuan, City University of Hong Kong, China; Shuyang Song, Baisuo Jin, University of Science and Technology of China, China