AutoHR: A Strong End-to-End Baseline for Remote Heart Rate Measurement With Neural Searching 1245-1249 A Sensitive Stylistic Approach to Identify Fake News on Social Networking 1250-1254 Hierarchical Neural Architecture Search for Single Image Super-Resolution 1255-1259 Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal 1260-1264 Selecting Optimal Completion to Partial Matrix via Self-Validation 1265-1269 Efficient Parameter-Free Adaptive Multi-Modal Hashing 1270-1274 Automatic Waveform Recognition of Overlapping LPI Radar Signals Based on Multi-Instance Multi-Label Learning 1275-1279 Provable Convergence of Plug-and-Play Priors With MMSE Denoisers 1280-1284 CNN-Based Fast Source Device Identification 1285-1289 A Low-Complexity Joint User Activity, Channel and Data Estimation for Grant-Free Massive MIMO Systems 1290-1294 Secrecy Outage Analysis Over Random Beamforming Transmission With User Scheduling: Collusion vs. Exclusion 1295-1299 Intelligent Reflecting Surfaces Assisted Secure Transmission Without Eavesdropper's CSI 1300-1304 Variable Splitting Methods for Constrained State Estimation in Partially Observed Markov Processes 1305-1309 Multi-Task WaveRNN With an Integrated Architecture for Cross-Lingual Voice Conversion 1310-1314 Capped -Norm LDA for Outliers Robust Dimension Reduction 1315-1319 Progressive Motion Representation Distillation With Two-Branch Networks for Egocentric Activity Recognition 1320-1324 Self-Weighting and Hypergraph Regularization for Multi-view Spectral Clustering 1325-1329 Cost-Sensitive Canonical Correlation Analysis for Semi-Supervised Multi-View Learning 1330-1334 A Provably Convergent Projected Gradient-Type Algorithm for TDOA-Based Geolocation Under the Quasi-Parabolic Ionosphere Model 1335-1339 Online Reweighted Least Squares Robust PCA 1340-1344 Complementary Mean-Square Analysis of CNLMS Algorithm Using Pseudo-Energy-Conservation Method 1345-1349 www.signalprocessingsociety.org 32 SEPTEMBER 2020https://dx.doi.org/10.1109/LSP.2020.3007086 https://dx.doi.org/10.1109/LSP.2020.3007086 https://dx.doi.org/10.1109/LSP.2020.3008087 https://dx.doi.org/10.1109/LSP.2020.3003517 https://dx.doi.org/10.1109/LSP.2020.3006417 https://dx.doi.org/10.1109/LSP.2020.3006417 https://dx.doi.org/10.1109/LSP.2020.3008043 https://dx.doi.org/10.1109/LSP.2020.3008335 https://dx.doi.org/10.1109/LSP.2020.3009195 https://dx.doi.org/10.1109/LSP.2020.3009195 https://dx.doi.org/10.1109/LSP.2020.3006390 https://dx.doi.org/10.1109/LSP.2020.3008855 https://dx.doi.org/10.1109/LSP.2020.3008550 https://dx.doi.org/10.1109/LSP.2020.3008550 https://dx.doi.org/10.1109/LSP.2020.3009189 https://dx.doi.org/10.1109/LSP.2020.3009189 https://dx.doi.org/10.1109/LSP.2020.3010170 https://dx.doi.org/10.1109/LSP.2020.3010159 https://dx.doi.org/10.1109/LSP.2020.3010159 https://dx.doi.org/10.1109/LSP.2020.3010163 https://dx.doi.org/10.1109/LSP.2020.3011323 https://dx.doi.org/10.1109/LSP.2020.3011326 https://dx.doi.org/10.1109/LSP.2020.3011326 https://dx.doi.org/10.1109/LSP.2020.3011599 https://dx.doi.org/10.1109/LSP.2020.3010167 https://dx.doi.org/10.1109/LSP.2020.3010676 https://dx.doi.org/10.1109/LSP.2020.3010676 https://dx.doi.org/10.1109/LSP.2020.3011896 https://dx.doi.org/10.1109/LSP.2020.3012825 https://dx.doi.org/10.1109/LSP.2020.3012825 http://www.signalprocessingsociety.org