MLSP-P30: Machine Learning for Time Series Analysis III
Thu, 18 Apr, 16:30 - 18:30 (UTC +9)
Location: Poster Zone 5B
Session Type: Poster
Session Chair: Shengchen Li, Xi’an Jiaotong Liverpool University
Track: Machine Learning for Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

MLSP-P30.1: DATA-SCARCE CONDITION MODELING REQUIRES MODEL-BASED PRIOR REGULARIZATION
Nikolaus Mutsam, Alexander Fuchs, Fabio Ziegler, Franz Pernkopf, Graz University of Technology, Austria
 

MLSP-P30.2: MULTI-STAGE LEARNING FOR RADAR PULSE ACTIVITY SEGMENTATION
Zi Huang, Akila Pemasiri, Simon Denman, Clinton Fookes, Queensland University of Technology, Australia; Terrence Martin, Revolution Aerospace, Australia
 

MLSP-P30.3: DACR: DISTRIBUTION-AUGMENTED CONTRASTIVE RECONSTRUCTION FOR TIME-SERIES ANOMALY DETECTION
Lixu Wang, Shichao Xu, Northwestern University, United States of America; Xinyu Du, General Motors, United States of America; Qi Zhu, Northwestern University, United States of America
 

MLSP-P30.4: Cross-Camera Human Motion Transfer by Time Series Analysis
Yaping Zhao, The University of Hong Kong, Hong Kong; Guanghan Li, Tsinghua University, China; Edmund Lam, The University of Hong Kong, Hong Kong
 

MLSP-P30.5: Enhancing Event Sequence Modeling with Contrastive Relational Inference
Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y Zhang, Siqiao Xue, Jun Zhou, Ant Group, China
 

MLSP-P30.6: TRANSFORMER-INSPIRED LIGHTWEIGHT MODEL FOR EFFICIENT TIME SERIES FORECASTING
Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, National University of Defense Technology, China
 

MLSP-P30.7: CGN: A SIMPLE YET EFFECTIVE MULTI-CHANNEL GATED NETWORK FOR LONG-TERM TIME SERIES FORECASTING
Zhao Sun, Xi’an Jiaotong University, China; Yulong Pei, Eindhoven University of Technology, Netherlands; Defu Li, Qinke Peng, Xi’an Jiaotong University, China
 

MLSP-P30.8: IMPACT OF SAMPLING STRATEGIES ON THE MONITORING OF CLIMATE REGIME SHIFTS WITH A LEARNING DATA ASSIMILATION METHOD
Perrine Bauchot, Lab-STICC, France; Angélique Drémeau, ENSTA Bretagne, France; Florian Sévellec, Laboratoire d'Océanographie Physique et Spatiale, France; Ronan Fablet, IMT Atlantique, France
 

MLSP-P30.9: VARIATIONAL CONNECTIONIST TEMPORAL CLASSIFICATION FOR ORDER-PRESERVING SEQUENCE MODELING
Zheng Nan, University of New South Wales, Australia; Ting Dang, Nokia Bell Labs, United Kingdom of Great Britain and Northern Ireland; Vidhyasaharan Sethu, Beena Ahmed, University of New South Wales, Australia
 

MLSP-P30.10: FDNET: A NOVEL MULTIVARIATE TIME SERIES CLASSIFICATION MODEL THROUGH FUSING FEATURE AND DIFFERENCE
Fei Gao, Luofeng Zhang, Yuanming Zhang, Zhejiang University of Technology, China
 

MLSP-P30.11: URBAN TRAFFIC FLOW FORECASTING BASED ON SPATIAL-TEMPORAL GRAPH CONTRASTIVE LEARNING
Lin Pan, Qianqian Ren, Heilongjiang University, China
 

MLSP-P30.12: ENCLAP: COMBINING NEURAL AUDIO CODEC AND AUDIO-TEXT JOINT EMBEDDING FOR AUTOMATED AUDIO CAPTIONING
Jaeyeon Kim, MAUM AI Inc.; Seoul National University, Korea, Republic of; Jaeyoon Jung, MAUM AI Inc.; Soongsil University, Korea, Republic of; Jinjoo Lee, MAUM AI Inc., Korea, Republic of; Sang Hoon Woo, Independent Researcher, Korea, Republic of