MLSP-P23.5
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Ying Peng, Tongji University, China; Yihong Dong, Peking University, China; Muqiao Yang, Carnegie Mellon University, United States of America; Songtao Lu, IBM Thomas J. Watson Research Center, United States of America; Qingjiang Shi, Tongji University, China
Session:
MLSP-P23: Feature Extraction Selection and Learning Poster
Track:
Machine Learning for Signal Processing
Location:
Poster Zone 4B
Poster Board PZ-4B.5
Poster Board PZ-4B.5
Presentation Time:
Thu, 18 Apr, 08:20 - 10:20 (UTC +9)
Session Chair:
Li Liu, The Hong Kong University of Science and Technology (Guangzhou)
Session MLSP-P23
MLSP-P23.1: HMM-Based CSI Embedding For Trajectory Recovery from RSS Measurements of Non-Cooperative Devices
Zheng Xing, Junting Chen, The Chinese University of Hong Kong, Shenzhen, China
MLSP-P23.2: ENGINEERING THE NEURAL COLLAPSE GEOMETRY OF SUPERVISED-CONTRASTIVE LOSS
Jaidev Gill, Vala Vakilian, Christos Thrampoulidis, University of British Columbia, Canada
MLSP-P23.3: A SIMPLE AND EFFECTIVE METHOD FOR ANOMALY DETECTION ON ATTRIBUTED GRAPHS VIA FEATURE CONSISTENCY
Cheng Zhou, Guangxia Li, Yulong Shen, Xidian University, China
MLSP-P23.4: DMEL: THE DIFFERENTIABLE LOG-MEL SPECTROGRAM AS A TRAINABLE LAYER IN NEURAL NETWORKS
John Martinsson, RISE Research Institutes of Sweden, Lund University, Sweden; Maria Sandsten, Lund University, Sweden
MLSP-P23.5: Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Ying Peng, Tongji University, China; Yihong Dong, Peking University, China; Muqiao Yang, Carnegie Mellon University, United States of America; Songtao Lu, IBM Thomas J. Watson Research Center, United States of America; Qingjiang Shi, Tongji University, China
MLSP-P23.6: SMOOTH START: A UNIFIED APPROACH FOR GRADUAL TRANSITION FROM COLD TO OLD IN RECOMMENDER SYSTEMS
Jianwen Yang, Xiao Zhang, Jun Xu, Renmin University of China, China
MLSP-P23.7: DISCRIMINANT PIXEL-DIFFERENCE VECTOR HASHING OF SPATIAL-TEMPORAL LOCAL BINARY PATTERNS FOR DYNAMIC TEXTURE RECOGNITION
Ruxin Ding, Jianfeng Ren, Heng Yu, Jiawei Li, University of Nottingham Ningbo China, China; Xudong Jiang, Nanyang Technological University, Singapore
MLSP-P23.8: DISCRIMINATIVE SEMI-SUPERVISED FEATURE SELECTION VIA A CLASS-CREDIBLE PSEUDO-LABEL LEARNING FRAMEWORK
Xin Qi, Han Zhang, Feiping Nie, Northwestern Polytechnical University, China
MLSP-P23.9: LEARNING DISENTANGLED SPEECH REPRESENTATIONS WITH CONTRASTIVE LEARNING AND TIME-INVARIANT RETRIEVAL
Yimin Deng, University of Science and Technology of China, China; Huaizhen Tang, Xulong Zhang, Ning Cheng, Jing Xiao, Jianzong Wang, Ping An Technology (Shenzhen) Co., Ltd., China
MLSP-P23.10: HLS-FGVC: HIERARCHICAL LABEL SEMANTICS ENHANCED FINE-GRAINED VISUAL CLASSIFICATION
Shichuan Zhang, Zhejiang University, China; Sunyi Zheng, Westlake University, China; Zhongyi Shui, Zhejiang University, China; Lin Yang, Westlake University, China
MLSP-P23.11: LEVERAGING NOISY LABELS OF NEAREST NEIGHBORS FOR LABEL CORRECTION AND SAMPLE SELECTION
Hua Jiang, The Chinese University of Hong Kong Shenzhen, China; Yixiong Chen, Johns Hopkins University, United States of America; Li Liu, The Hong Kong University of Science and Technology (Guangzhou), China; Xiaoguang Han, The Chinese University of Hong Kong Shenzhen, China; Xiao-Ping Zhang, Tsinghua Berkeley Shenzhen Institute, China
MLSP-P23.12: ACTIVITY RECOGNITION METHOD BASED ON KERNEL SUPERVISED LAPLACIAN EIGENMAPS
Pengjia Tu, Cheng Tian, Dandan Du, Junhuai Li, Huaijun Wang, Xi'an University of Technology, China
Contacts