MLSP-P8: Deep Learning Model for Signal Processing I
Poster
Tue, 5 May, 16:30 - 18:30
Location: Poster Area 3
Session Type: Poster
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview

MLSP-P8.1: INVERSE HALFTONING VIA WEIGHTED SOBEL CONDITIONED DIFFUSION MODEL
Shengshang Shen, Jiefeng Yao, Denghui Zhang, Keke Tang, Guangzhou University, China; Dawei Zhao, Qilu University of Technology (Shandong Academy of Sciences), China; Zhaoquan Gu, Harbin Institute of Technology (Shenzhen), China

MLSP-P8.2: SALIENCY-GUIDED MULTI-SCALE FEATURE ENHANCEMENT NETWORK FOR INFRARED AND VISIBLE IMAGE FUSION
Yueqiang Zhao, Yijun Lin, Xiongxin Tang, University of Chinese Academy of Sciences, China

MLSP-P8.3: RLSW:REINFORCEMENT LEARNING-GUIDED SAMPLE WEIGHTING FOR DYNAMIC EARLY-EXITING NETWORKS
Kai cong Yu, Institute of System Engineering, Academy of Military Science, China; Zhongyi Wen, University of Electronic Science and Technology of China, China; Yi Fang, Laboratory of Electromagnetic Space Cognition and Intelligent Control, China; Kai Xie, Institute of System Engineering, Academy of Military Science, China; Jian Yang, Laboratory of Electromagnetic Space Cognition and Intelligent Control, China

MLSP-P8.4: ULTRALIGHT IPM-DAE: AN ULTRA-LIGHTWEIGHT ECG DENOISING AUTOENCODER VIA PARALLEL MAMBA AND MULTI-SCALE FUSION
Ruizhe Wang, Zhanyi Liu, Honghao Li, Jiaqi Liang, Jie Sun, Min Xiang, Xiaolin Ning, Beihang University, China

MLSP-P8.5: Robust MAE-Driven NAS: From Mask Reconstruction to Architecture Innovation
Yiming Hu, Xiangxiang Chu, Yong Wang, Amap-Alibaba Group, China

MLSP-P8.6: DyPANet: Efficient Event-driven Eye Tracking via Dynamic Path Adaptation and ROI Filtering
Yimeng Zhang, Qinghang Zhao, Xidian University, China

MLSP-P8.7: DC-MAMBER: A DUAL CHANNEL PREDICTION MODEL BASED ON MAMBA AND LINEAR TRANSFORMER FOR MULTIVARIATE TIME SERIES FORECASTING
Bing Fan, Shusen Ma, Yunbo Zhao, University of Science and Technology of China, China; Gang Xu, Eastern Institute of Technology, Ningbo, China

MLSP-P8.8: SOLVING THE HELMHOLTZ EQUATION VIA PHYSICS-INFORMED NEURAL NETWORKS WITH AN ADAPTIVE WEIGHTING STRATEGY
Yanan Guo, Junqiang Song, Xiaoqun Cao, Hongze Leng, National University of Defense Technology, China

MLSP-P8.9: HierSG: Hierarchical Semantic Gaussian Representation for 3D Occupancy
Kailin Li, Zhizhong Zhang, Yuan Xie, East China Normal University, China

MLSP-P8.10: EG-GCN: Enthalpy-Guided graph convolutional networks
Jinyang Chen, Yuefeng Ma, Fengxian Cheng, Qufu Normal University, China