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IEEE Journal of Selected Topics in Signal Processing, Volume 16
Volume 16, Number 1, January 2022
- Kyeong Jin Kim, Octavia A. Dobre, David López-Pérez, H. Vincent Poor, Petar Popovski, Theodoros A. Tsiftsis, Miaowen Wen:
Guest Editorial Advanced Signal Processing for Local and Private 5G Networks. 2-6 - Miaowen Wen, Qiang Li, Kyeong Jin Kim, David López-Pérez, Octavia A. Dobre, H. Vincent Poor, Petar Popovski, Theodoros A. Tsiftsis:
Private 5G Networks: Concepts, Architectures, and Research Landscape. 7-25 - Kun Guo, Zihan Chen, Howard H. Yang, Tony Q. S. Quek:
Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks. 26-40 - Zhen Chen, Jie Tang, Xiu Yin Zhang, Qingqing Wu, Yuxin Wang, Daniel K. C. So, Shi Jin, Kai-Kit Wong:
Offset Learning Based Channel Estimation for Intelligent Reflecting Surface-Assisted Indoor Communication. 41-55 - Andreas Nicolaides, Constantinos Psomas, Ioannis Krikidis:
A Markov Chain Approach for Myopic Multi-Hop Relaying: Outage and Diversity Analysis. 56-69 - Aymen Khaleel, Ertugrul Basar:
A Novel NOMA Solution With RIS Partitioning. 70-81 - Zhaolong Ning, Handi Chen, Xiaojie Wang, Shupeng Wang, Lei Guo:
Blockchain-Enabled Electrical Fault Inspection and Secure Transmission in 5G Smart Grids. 82-96 - Peng Yang, Kun Guo, Xing Xi, Tony Q. S. Quek, Xianbin Cao, Chenxi Liu:
Fresh, Fair and Energy-Efficient Content Provision in a Private and Cache-Enabled UAV Network. 97-112 - Navid Reyhanian, Zhi-Quan Luo:
Data-Driven Adaptive Network Slicing for Multi-Tenant Networks. 113-128 - Henri Hentilä, Yanina Y. Shkel, Visa Koivunen:
Secret Key Generation Using Short Blocklength Polar Coding Over Wireless Channels. 144-157
Volume 16, Number 2, February 2022
- Björn W. Schuller, Yonina C. Eldar, Maja Pantic, Shrikanth Narayanan, Tuomas Virtanen, Jianhua Tao:
Editorial: Intelligent Signal Analysis for Contagious Virus Diseases. 159-163 - Mahmoud Al Ahmad, Lillian J. A. Olule, Mohammed Meetani, Farrukh Amin Sheikh, Rahima Al Blooshi, Neena G. Panicker, Farah Mustafa, Tahir A. Rizvi:
Detection of SARS-CoV-2 in COVID-19 Patient Nasal Swab Samples Using Signal Processing. 164-174 - Alexander Ponomarchuk, Ilya Burenko, Elian Malkin, Ivan Nazarov, Vladimir Kokh, Manvel Avetisian, Leonid Zhukov:
Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough. 175-187 - Terence E. Taylor, Frank Keane, Yaniv Zigel:
A Speech Obfuscation System to Preserve Data Privacy in 24-Hour Ambulatory Cough Monitoring. 188-196 - Xin Tian, Chau-Wai Wong, Sushant M. Ranadive, Min Wu:
A Multi-Channel Ratio-of-Ratios Method for Noncontact Hand Video Based SpO$_2$ Monitoring Using Smartphone Cameras. 197-207 - Marco Canil, Jacopo Pegoraro, Michele Rossi:
milliTRACE-IR: Contact Tracing and Temperature Screening via mmWave and Infrared Sensing. 208-223 - Gereziher Adhane, Mohammad Mahdi Dehshibi, David Masip:
On the Use of Uncertainty in Classifying Aedes Albopictus Mosquitoes. 224-233 - Pei-Duo Yu, Chee Wei Tan, Hung-Lin Fu:
Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms. 234-249 - Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie:
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. 250-260 - Yue Bai, Abolfazl Safikhani, George Michailidis:
Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S. 261-275 - Haishuai Wang, Guangyu Tao, Jiali Ma, Shangru Jia, Lianhua Chi, Hong Yang, Ziping Zhao, Jianhua Tao:
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks. 276-288 - Chaitra Hegde, Ali Bahrami Rad, Reza Sameni, Gari David Clifford:
Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment. 289-299 - Arti M. K.:
Mathematical Modeling of COVID-19 and Prediction of Upcoming Wave. 300-306 - Reza Sameni:
Model-Based Prediction and Optimal Control of Pandemics by Non-Pharmaceutical Interventions. 307-317
Volume 16, Number 3, April 2022
- Ping Yang, Octavia A. Dobre, Ming Xiao, Marco Di Renzo, Jun Li, Tony Q. S. Quek, Zhu Han:
Editorial: Introduction to the Issue on Distributed Machine Learning for Wireless Communication. 320-325 - Liangxin Qian, Ping Yang, Ming Xiao, Octavia A. Dobre, Marco Di Renzo, Jun Li, Zhu Han, Qin Yi, Jiarong Zhao:
Distributed Learning for Wireless Communications: Methods, Applications and Challenges. 326-342 - Rui Wang, Yi Jiang, Wei Zhang:
Distributed Learning for MIMO Relay Networks. 343-357 - Khoi Khac Nguyen, Saeed R. Khosravirad, Daniel Benevides da Costa, Long Dinh Nguyen, Trung Q. Duong:
Reconfigurable Intelligent Surface-Assisted Multi-UAV Networks: Efficient Resource Allocation With Deep Reinforcement Learning. 358-368 - Kai Yue, Richeng Jin, Chau-Wai Wong, Huaiyu Dai:
Communication-Efficient Federated Learning via Predictive Coding. 369-380 - Haijun Liao, Zhao Wang, Zhenyu Zhou, Yang Wang, Hui Zhang, Shahid Mumtaz, Mohsen Guizani:
Blockchain and Semi-Distributed Learning-Based Secure and Low-Latency Computation Offloading in Space-Air-Ground-Integrated Power IoT. 381-394 - Mingqian Liu, Zi Long Liu, Weidang Lu, Yunfei Chen, Xiaoteng Gao, Nan Zhao:
Distributed Few-Shot Learning for Intelligent Recognition of Communication Jamming. 395-405 - Howard H. Yang, Zihan Chen, Tony Q. S. Quek, H. Vincent Poor:
Revisiting Analog Over-the-Air Machine Learning: The Blessing and Curse of Interference. 406-419 - Kehao Wang, Jihong Yu, Lin Chen, Pan Zhou, Moe Z. Win:
Optimal Myopic Policy for Restless Bandit: A Perspective of Eigendecomposition. 420-433 - Chao Wang, Lei Liu, Chunxiao Jiang, Shangguang Wang, Peiying Zhang, Shigen Shen:
Incorporating Distributed DRL Into Storage Resource Optimization of Space-Air-Ground Integrated Wireless Communication Network. 434-446 - Wanlu Lei, Deyou Zhang, Yu Ye, Chenguang Lu:
Joint Beam Training and Data Transmission Control for mmWave Delay-Sensitive Communications: A Parallel Reinforcement Learning Approach. 447-459 - Yinghao Guo, Rui Zhao, Shiwei Lai, Lisheng Fan, Xianfu Lei, George K. Karagiannidis:
Distributed Machine Learning for Multiuser Mobile Edge Computing Systems. 460-473 - Hao Zhao, Fei Ji, Qiang Li, Quansheng Guan, Shuai Wang, Miaowen Wen:
Federated Meta-Learning Enhanced Acoustic Radio Cooperative Framework for Ocean of Things. 474-486 - Hao Ye, Le Liang, Geoffrey Ye Li:
Decentralized Federated Learning With Unreliable Communications. 487-500 - Sihua Wang, Mingzhe Chen, Zhaohui Yang, Changchuan Yin, Walid Saad, Shuguang Cui, H. Vincent Poor:
Distributed Reinforcement Learning for Age of Information Minimization in Real-Time IoT Systems. 501-515 - Yuchen Jiao, Yuantao Gu:
Communication-Efficient Decentralized Subspace Estimation. 516-531 - Jie Zhang, Jun Li, Yijin Zhang, Qingqing Wu, Xiongwei Wu, Feng Shu, Shi Jin, Wen Chen:
Collaborative Intelligent Reflecting Surface Networks With Multi-Agent Reinforcement Learning. 532-545 - Tianyu Liu, Boya Di, Bin Wang, Lingyang Song:
Loss-Privacy Tradeoff in Federated Edge Learning. 546-558 - Jiajia Guo, Yiping Zuo, Chao-Kai Wen, Shi Jin:
User-Centric Online Gossip Training for Autoencoder-Based CSI Feedback. 559-572 - Foad Sohrabi, Tao Jiang, Wei Yu:
Learning Progressive Distributed Compression Strategies From Local Channel State Information. 573-584 - Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler:
Distributed Learning With Sparsified Gradient Differences. 585-600
Volume 16, Number 4, June 2022
- Xin Yuan, David J. Brady, Jinli Suo, Henry Arguello, Miguel Rodrigues, Aggelos K. Katsaggelos:
Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing. 603-607 - Erqi Huang, Maoqi Zhang, Zhan Ma, Linsen Chen, Yiyu Zhuang, Xun Cao:
High-Fidelity Hyperspectral Snapshot of Physical World: System Architecture, Dataset and Model. 608-621 - Shumin Liu, Yuge Zhang, Jie Chen, Keng Pang Lim, Susanto Rahardja:
A Deep Joint Network for Multispectral Demosaicking Based on Pseudo-Panchromatic Images. 622-635 - Tao Zhang, Zhiyuan Liang, Ying Fu:
Joint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction. 636-648 - Ruiying Lu, Bo Chen, Jianqiao Sun, Wenchao Chen, Penghui Wang, Yuanwei Chen, Hongwei Liu, Pramod K. Varshney:
Heterogeneity-Aware Recurrent Neural Network for Hyperspectral and Multispectral Image Fusion. 649-665 - Wujie Zhou, Jianhui Jin, Jingsheng Lei, Lu Yu:
CIMFNet: Cross-Layer Interaction and Multiscale Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images. 666-676 - Wujie Zhou, Enquan Yang, Jingsheng Lei, Lu Yu:
FRNet: Feature Reconstruction Network for RGB-D Indoor Scene Parsing. 677-687 - Miguel Marquez, Yingming Lai, Xianglei Liu, Cheng Jiang, Shian Zhang, Henry Arguello, Jinyang Liang:
Deep-Learning Supervised Snapshot Compressive Imaging Enabled by an End-to-End Adaptive Neural Network. 688-699 - Daoyu Li, Liheng Bian, Jun Zhang:
High-Speed Large-Scale Imaging Using Frame Decomposition From Intrinsic Multiplexing of Motion. 700-712 - Filippo Martinini, Mauro Mangia, Alex Marchioni, Riccardo Rovatti, Gianluca Setti:
A Deep Learning Method for Optimal Undersampling Patterns and Image Recovery for MRI Exploiting Losses and Projections. 713-724 - Yilang Zhang, Xiaojun Mao, Jian Wang, Weidong Liu:
DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI. 725-736 - Jingfen Xie, Jian Zhang, Yongbing Zhang, Xiangyang Ji:
PUERT: Probabilistic Under-Sampling and Explicable Reconstruction Network for CS-MRI. 737-749 - Jian Zhang, Zhenyu Zhang, Jingfen Xie, Yongbing Zhang:
High-Throughput Deep Unfolding Network for Compressive Sensing MRI. 750-761 - Jakeoung Koo, Abderrahim Halimi, Stephen McLaughlin:
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems. 762-774 - Leiyao Liao, Lan Du, Jian Chen:
Interpretable Deep Probabilistic Model for HRR Radar Signal and its Application to Target Recognition. 775-790 - Xiangyu Gao, Hui Liu, Sumit Roy, Guanbin Xing, Ali Alansari, Youchen Luo:
Learning to Detect Open Carry and Concealed Object With 77 GHz Radar. 791-803 - Aichun Zhu, Zhonghua Tang, Zixuan Wang, Yue Zhou, Shichao Chen, Fangqiang Hu, Yifeng Li:
Wi-ATCN: Attentional Temporal Convolutional Network for Human Action Prediction Using WiFi Channel State Information. 804-816 - Chengsheng Yuan, Peipeng Yu, Zhihua Xia, Xingming Sun, Q. M. Jonathan Wu:
FLD-SRC: Fingerprint Liveness Detection for AFIS Based on Spatial Ridges Continuity. 817-827 - Peiyao Guo, M. Salman Asif, Zhan Ma:
Low-Light Color Imaging via Cross-Camera Synthesis. 828-842 - Shi Mao, Mengqi Ji, Bin Wang, Qionghai Dai, Lu Fang:
Surface Material Perception Through Multimodal Learning. 843-853 - Chengchao Wang, Rencan Nie, Jinde Cao, Xue Wang, Ying Zhang:
IGNFusion: An Unsupervised Information Gate Network for Multimodal Medical Image Fusion. 854-868 - Varun K. Garg, Thanuka L. Wickramarathne:
ENSURE: A Deep Learning Approach for Enhancing Situational Awareness in Surveillance Applications With Ubiquitous High-Dimensional Sensing. 869-878
Volume 16, Number 5, August 2022
- Cunhua Pan, Rui Zhang, Marco Di Renzo, A. Lee Swindlehurst, Ying-Jun Angela Zhang:
Editorial Introduction to the Issue on Advanced Signal Processing for Reconfigurable Intelligent Surface-Aided 6G Networks. 880-882 - Cunhua Pan, Gui Zhou, Kangda Zhi, Sheng Hong, Tuo Wu, Yijin Pan, Hong Ren, Marco Di Renzo, A. Lee Swindlehurst, Rui Zhang, Yingjun Angela Zhang:
An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems. 883-917 - Meng Hua, Qingqing Wu:
Throughput Maximization for IRS-Aided MIMO FD-WPCN With Non-Linear EH Model. 918-932 - Feng Shu, Lili Yang, Xinyi Jiang, Wenlong Cai, Weiping Shi, Mengxing Huang, Jiangzhou Wang, Xiaohu You:
Beamforming and Transmit Power Design for Intelligent Reconfigurable Surface-Aided Secure Spatial Modulation. 933-949 - Wen Wang, Wanli Ni, Hui Tian, Zhaohui Yang, Chongwen Huang, Kai-Kit Wong:
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface Under Imperfect CSI. 950-966 - Yaowen Zhang, Kaiming Shen, Shuyi Ren, Xin Li, Xin Chen, Zhi-Quan Luo:
Configuring Intelligent Reflecting Surface With Performance Guarantees: Optimal Beamforming. 967-979 - Yaqiong Zhao, Wei Xu, Xiaohu You, Ning Wang, Huan Sun:
Cooperative Reflection and Synchronization Design for Distributed Multiple-RIS Communications. 980-994 - Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu:
Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems. 995-1010 - Yu Han, Shi Jin, Chao-Kai Wen, Tony Q. S. Quek:
Localization and Channel Reconstruction for Extra Large RIS-Assisted Massive MIMO Systems. 1011-1025 - Zhongze Zhang, Tao Jiang, Wei Yu:
Learning Based User Scheduling in Reconfigurable Intelligent Surface Assisted Multiuser Downlink. 1026-1039 - Boyu Teng, Xiaojun Yuan, Rui Wang, Shi Jin:
Bayesian User Localization and Tracking for Reconfigurable Intelligent Surface Aided MIMO Systems. 1040-1054 - Hanyu Jiang, Li You, Jue Wang, Wenjin Wang, Xiqi Gao:
Hybrid RIS and DMA Assisted Multiuser MIMO Uplink Transmission With Electromagnetic Exposure Constraints. 1055-1069 - Xin Zhang, Xianghao Yu, Shenghui Song:
Outage Probability and Finite-SNR DMT Analysis for IRS-Aided MIMO Systems: How Large IRSs Need to be? 1070-1085 - Khoi Khac Nguyen, Antonino Masaracchia, Vishal Sharma, H. Vincent Poor, Trung Q. Duong:
RIS-Assisted UAV Communications for IoT With Wireless Power Transfer Using Deep Reinforcement Learning. 1086-1096 - Jiaqi Xu, Yuanwei Liu, Xidong Mu, Robert Schober, H. Vincent Poor:
STAR-RISs: A Correlated T&R Phase-Shift Model and Practical Phase-Shift Configuration Strategies. 1097-1111 - Li Wei, Chongwen Huang, George C. Alexandropoulos, Wei E. I. Sha, Zhaoyang Zhang, Mérouane Debbah, Chau Yuen:
Multi-User Holographic MIMO Surfaces: Channel Modeling and Spectral Efficiency Analysis. 1112-1124 - Kamran Keykhosravi, Musa Furkan Keskin, Gonzalo Seco-Granados, Petar Popovski, Henk Wymeersch:
RIS-Enabled SISO Localization Under User Mobility and Spatial-Wideband Effects. 1125-1140 - Alessio Fascista, Musa Furkan Keskin, Angelo Coluccia, Henk Wymeersch, Gonzalo Seco-Granados:
RIS-Aided Joint Localization and Synchronization With a Single-Antenna Receiver: Beamforming Design and Low-Complexity Estimation. 1141-1156 - Navneet Garg, Hanxiao Ge, Tharmalingam Ratnarajah:
Generalized Superimposed Training Scheme in IRS-Assisted Cell-Free Massive MIMO Systems. 1157-1171
Volume 16, Number 6, October 2022
- Hung-Yi Lee, Shinji Watanabe, Karen Livescu, Abdelrahman Mohamed, Tara N. Sainath:
Editorial Editorial of Special Issue on Self-Supervised Learning for Speech and Audio Processing. 1174-1178 - Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, Jakob D. Havtorn, Joakim Edin, Christian Igel, Katrin Kirchhoff, Shang-Wen Li, Karen Livescu, Lars Maaløe, Tara N. Sainath, Shinji Watanabe:
Self-Supervised Speech Representation Learning: A Review. 1179-1210 - Ewan Dunbar, Nicolas Hamilakis, Emmanuel Dupoux:
Self-Supervised Language Learning From Raw Audio: Lessons From the Zero Resource Speech Challenge. 1211-1226 - Jing Zhao, Wei-Qiang Zhang:
Improving Automatic Speech Recognition Performance for Low-Resource Languages With Self-Supervised Models. 1227-1241 - Ruchao Fan, Yunzheng Zhu, Jinhan Wang, Abeer Alwan:
Towards Better Domain Adaptation for Self-Supervised Models: A Case Study of Child ASR. 1242-1252 - Jingu Kang, Jaesung Huh, Hee Soo Heo, Joon Son Chung:
Augmentation Adversarial Training for Self-Supervised Speaker Representation Learning. 1253-1262 - Woo Hyun Kang, Jahangir Alam, Abderrahim Fathan:
L-Mix: A Latent-Level Instance Mixup Regularization for Robust Self-Supervised Speaker Representation Learning. 1263-1272 - Chunlei Zhang, Dong Yu:
C3-DINO: Joint Contrastive and Non-Contrastive Self-Supervised Learning for Speaker Verification. 1273-1283 - Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Non-Contrastive Self-Supervised Learning for Utterance-Level Information Extraction From Speech. 1284-1295 - Hexin Liu, Leibny Paola García-Perera, Andy W. H. Khong, Eng Siong Chng, Suzy J. Styles, Sanjeev Khudanpur:
Efficient Self-Supervised Learning Representations for Spoken Language Identification. 1296-1307 - Wen-Chin Huang, Shu-Wen Yang, Tomoki Hayashi, Tomoki Toda:
A Comparative Study of Self-Supervised Speech Representation Based Voice Conversion. 1308-1318 - Yusuke Yasuda, Tomoki Toda:
Investigation of Japanese PnG BERT Language Model in Text-to-Speech Synthesis for Pitch Accent Language. 1319-1328 - Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu, Buye Xu, Paris Smaragdis, Anurag Kumar:
RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing. 1329-1341 - Aswin Sivaraman, Minje Kim:
Efficient Personalized Speech Enhancement Through Self-Supervised Learning. 1342-1356 - Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang, Pedro J. Moreno:
Ask2Mask: Guided Data Selection for Masked Speech Modeling. 1357-1366 - Xianghu Yue, Jingru Lin, Fabian Ritter Gutierrez, Haizhou Li:
Self-Supervised Learning With Segmental Masking for Speech Representation. 1367-1379 - Gene-Ping Yang, Sung-Lin Yeh, Yu-An Chung, James R. Glass, Hao Tang:
Autoregressive Predictive Coding: A Comprehensive Study. 1380-1390 - Amir Shirian, Krishna Somandepalli, Tanaya Guha:
Self-Supervised Graphs for Audio Representation Learning With Limited Labeled Data. 1391-1401 - Sreyan Ghosh, Ashish Seth, Srinivasan Umesh:
Decorrelating Feature Spaces for Learning General-Purpose Audio Representations. 1402-1414 - Tu Anh Nguyen, Benoît Sagot, Emmanuel Dupoux:
Are Discrete Units Necessary for Spoken Language Modeling? 1415-1423 - Yosuke Higuchi, Niko Moritz, Jonathan Le Roux, Takaaki Hori:
Momentum Pseudo-Labeling: Semi-Supervised ASR With Continuously Improving Pseudo-Labels. 1424-1438 - Salah Zaiem, Titouan Parcollet, Slim Essid, Abdelwahab Heba:
Pretext Tasks Selection for Multitask Self-Supervised Audio Representation Learning. 1439-1453 - Kayode Olaleye, Dan Oneata, Herman Kamper:
Keyword Localisation in Untranscribed Speech Using Visually Grounded Speech Models. 1454-1466 - Shanshan Wang, Archontis Politis, Annamaria Mesaros, Tuomas Virtanen:
Self-Supervised Learning of Audio Representations From Audio-Visual Data Using Spatial Alignment. 1467-1479 - Ryota Komatsu, Shengzhou Gao, Wenxin Hou, Mingxin Zhang, Tomohiro Tanaka, Keisuke Toyoda, Yusuke Kimura, Kent Hino, Yu Iwamoto, Kosuke Mori, Takuma Okamoto, Takahiro Shinozaki:
Automatic Spoken Language Acquisition Based on Observation and Dialogue. 1480-1492 - Sameer Khurana, Antoine Laurent, James R. Glass:
SAMU-XLSR: Semantically-Aligned Multimodal Utterance-Level Cross-Lingual Speech Representation. 1493-1504 - Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, Jian Wu, Long Zhou, Shuo Ren, Yanmin Qian, Yao Qian, Jian Wu, Michael Zeng, Xiangzhan Yu, Furu Wei:
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing. 1505-1518 - Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. 1519-1532
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