MLSP-P19: Machine Learning for Time Series Analysis II
Wed, 17 Apr, 16:30 - 18:30 (UTC +9)
Location: Poster Zone 4B
Session Type: Poster
Session Chair: Jing Han, University of Cambridge
Track: Machine Learning for Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P19.1: SPATIAL-TEMPORAL INTERACTION DECODING TRANSFORMER FOR UNSUPERVISED MULTIVARIATE TIME SERIES ANOMALY DETECTION
Songlin Yang, Jing Li, Kuanzhi Shi, Nanjing University of Aeronautics and Astronautics, China; Yu Chen, Yunlong Zhu, State Grid Shanghai Municipal Electric Power Company, China; Xudong He, State Grid Shanghai Municipal Electric Power Company Information and Communication Company, China; Jinlong Wu, Chenling Pan, State Grid Shanghai Municipal Electric Power Company, China
 

MLSP-P19.2: FORECASTING TORSIONAL RESONANCE IN ELECTRIC VEHICLES BY LEARNING A QUANTILE REGRESSOR
Fusataka Kuniyoshi, Masanobu Inazumi, Toshiyuki Koga, AISIN Corporation, Japan
 

MLSP-P19.3: WFTNET: EXPLOITING GLOBAL AND LOCAL PERIODICITY IN LONG-TERM TIME SERIES FORECASTING
Peiyuan Liu, Tsinghua University, China; Beiliang Wu, Shenzhen University, China; Naiqi Li, Tsinghua University, China; Tao Dai, Shenzhen University, China; Fengmao Lei, Ping An Bank Co., Ltd., China; Jigang Bao, Yong Jiang, Shu-Tao Xia, Tsinghua University, China
 

MLSP-P19.4: Biomimetic Mappings for Active Sonar Object Recognition in Clutter
Sangwook Park, Gangneung-Wonju National University, Korea, Republic of; Angeles Salles, University of Illinois Chicago, United States of America; Kathryne Allen, Cynthia Moss, Mounya Elhilali, Johns Hopkins University, United States of America
 

MLSP-P19.5: A NOVEL LOCAL-GLOBAL FEATURE FUSION FRAMEWORK FOR BODY-WEIGHT EXERCISE RECOGNITION WITH PRESSURE MAPPING SENSORS
Davinder Pal Singh, RPTU Kaiserslautern, Germany; Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz, German Research Center for Artificial Intelligence (DFKI), Germany
 

MLSP-P19.6: SEMI-SUPERVISED METRICS-BASED SELF-TRAINING ROOT CAUSE ANALYSIS FOR CLOUD-NATIVE SYSTEMS WITH CLASS-IMBALANCED DATA
Ying Huang, Qingfeng Du, Yongqi Han, Tongji University, China; Cheng He, Fulong Tian, Di-Matrix Information Technology Company Limited, China
 

MLSP-P19.7: PHASE-SPACE-GUIDED DEEP LEARNING FOR TIME SERIES FORECASTING
Jingze Lu, Kaijun Ren, Taikang Yuan, Wuxin Wang, National University of Defense Technology, China
 

MLSP-P19.8: DIFFSTOCK: PROBABILISTIC RELATIONAL STOCK MARKET PREDICTIONS USING DIFFUSION MODELS
Divyanshu Daiya, Purdue University, United States of America; Monika Yadav, University of Southern California, United States of America; Harshit Singh Rao, NexusQuant AI, India
 

MLSP-P19.9: SELF-ADAPTIVE SCALE HANDLING FOR FORECASTING TIME SERIES WITH SCALE HETEROGENEITY
Xu Zhang, Fudan University, China; Zhengang Huang, Ant Group, China; Yunzhi Wu, Fudan University, China; Xun Lu, Erpeng Qi, Yunkai Chen, Zhongya Xue, Ant Group, China; Peng Wang, Wei Wang, Fudan University, China
 

MLSP-P19.10: GPTCN: GATED PARALLEL TRANSFORMER CONVOLUTIONAL NETWORKS FOR DOWNSTREAM-TASK USER REPRESENTATION LEARNING ON APP USAGE
Yingjie Sun, Fanrui Zeng, Sichuan University, China; Jiamin Xiao, Shenzhen Hexun Huagu Information Technology Co., Ltd, China; Yuxiao Deng, Yifan Ding, Yizhou Li, Sichuan University, China
 

MLSP-P19.11: DEFORMMLP: DYNAMIC LARGE-SCALE RECEPTIVE FIELD MLP NETWORKS FOR HUMAN MOTION PREDICTION
Haitao Huang, Nanjing University of Posts and Telecommunications, China; Chi-Man Pun, Haolun Li, University of Macau, China; Mengqi Liu, Jian Xiong, Hao Gao, Nanjing University of Posts and Telecommunications, China
 

MLSP-P19.12: Multi-Signal Fusion of Social Diffusion Graph with Bi-directional Semantic Consistency
Huacheng Li, Chunhe Xia, Tianbo Wang, Wanshuang Lin, Changnan Jiang, Chen Chen, Yuan Zhao, Beihang University, China