Asilomar Schedule 05/11/2019

# Asilomar Schedule 05/11/2019 ###### Tags: `Others` <details> <summary> Schedule Links </summary> Asilomar http://asilomarssc.org/. Schedule at: https://www2.securecms.com/Asilomar2019/RegularProgram.asp </details> My print-friendly schedule: https://hackmd.io/TMccYcdmQ2uzhpN8mWh_dA #### 07:30 - 09:00 Breakfast Crocker Dining Hall #### 08:00 - 18:00 Registration #### 08:15 - 09:55 * TA1a: Machine Learning for Channel Coding (Invited) Nautilus <details> <summary> Details </summary> TA1a-1: ON THE EFFICIENT DESIGN OF NEURAL NETWORKS IN COMMUNICATION SYSTEMS Weihong Xu; Southeast University, Nanjing Xiaosi Tan; Southeast University, Nanjing Zaichen Zhang; Southeast University, Nanjing Xiaohu You; Southeast University, Nanjing Chuan Zhang; Southeast University, Nanjing Yair Be'ery; Tel Aviv University TA1a-2: ON ROBUST DEEP NEURAL DECODERS Meryem Benammar; ISAE Supaero Pablo Piantanida; CentraleSupelec - UdeM TA1a-3: DEEP-LEARNING-AIDED SUCCESSIVE-CANCELLATION DECODING OF POLAR CODES Seyyed Ali Hashemi; Stanford University Nghia Doan; McGill University Warren Gross; McGill University TA1a-4: DEEP LEARNING-DRIVEN COMMUNICATIONS: FROM BLOCK TO SEQUENCE PROCESSING Sebastian Doerner; University of Stuttgart Sebastian Cammerer; University of Stuttgart Stephan ten Brink; University of Stuttgart </details> * TA2a: Spectrum Sharing (Invited) Surf & Sand <details> <summary> Details </summary> TA2a-1: MULTIPLE-CHANNEL MULTIPLE-USER NORMALIZED MATCHED FILTER DETECTOR FOR RF CONVERGENCE Alex Chiriyath; Arizona State University Christ Richmond; Arizona State University Daniel Bliss; Arizona State University TA2a-2: MISMATCHED FILTERING FOR NON-COOPERATIVE RADAR SPECTRUM SHARING Tuomas Aittomäki; Aalto University Visa Koivunen; Aalto University TA2a-3: AUTOMOTIVE RADAR AS SIGNALS OF OPPORTUNITY FOR MILLIMETER WAVE V2I LINKS Anum Ali; University of Texas at Austin Nuria Gonzalez Prelcic; University of Vigo Robert Heath; University of Texas at Austin Amitava Ghosh; Nokia Bell Labs TA2a-4: WAVEFORM DESIGN FOR MIMO-OFDM DUAL-FUNCTION RADAR-COMMUNICATION SYSTEM Ammar Ahmed; Temple University Yimin Zhang; Temple University </details> * TA3a: Distributed MIMO (Invited) Triton <details> <summary> Details </summary> TA3a-1: REAL-TIME PERFORMANCE EVALUATION OF RELATIVE CALIBRATION ON THE OAI 5G TESTBED Theoni Magounaki; Orange Florian Kaltenberger; EURECOM Raymond Knopp; EURECOM TA3a-2: DYNAMIC DISTRIBUTED ANTENNA SYSTEMS WITH WIRELESS MMWAVE FRONTHAUL Stefan Schwarz; Technische Universitaet Wien Stefan Pratschner; Technische Universitaet Wien TA3a-3: COORDINATION IN DISTRIBUTED MASSIVE MIMO: SYSTEMS, ALGORITHMS, AND HARDWARE ARCHITECTURE Hemanth Prabhu; Lund University Liang Liu; Lund University Farhana Sheikh; Intel Corporation Ove Edfors; Lund University TA3a-4: DEEP LEARNING FOR DYNAMIC CLUSTERING IN CELL-FREE MASSIVE MIMO Sucharita Chakraborty; Linköping University Emil Bjornson; Linköping University Luca Sanguinetti; University of Pisa </details> * TA4a: Statistical Signal Processing and Big Data Analysis (Invited) Heather <details> <summary> Details </summary> TA4a-1: NOISY MATRIX COMPLETION: UNDERSTANDING STATISTICAL GUARANTEES FOR CONVEX RELAXATION VIA NONCONVEX OPTIMIZATION Yuxin Chen; Princeton University Yuejie Chi; Carnegie Mellon University Jianqing Fan; Princeton University Cong Ma; Princeton University Yuling Yan; Princeton University TA4a-2: GENERALIZATION GUARANTEES FOR NEURAL NETWORKS VIA SMOOTH AND LOW-RANK JACOBIAN Samet Oymak; University of California, Riverside TA4a-3: ACTIVE LEARNING ON GRAPHS VIA MULTI-SCALE REPRESENTATIONS Kaushik Seetharam; Arizona State University Gautam Dasarathy; Arizona State University TA4a-4: IDENTIFICATION OF CORRELATION SUBSPACES FROM BATCH VERSUS SEQUENTIAL MEASUREMENTS Ali Koochakzadeh; University of California, San Diego Piya Pal; University of California, San Diego </details> * TA5a: Signal Processing Advances in Neuroimaging I (Invited) Scripps <details> <summary> Details </summary> TA5a-1: METHODS FOR ANALYZING LARGE-SCALE MULTI-MODAL BRAIN MRI FROM MULTIPLE SOURCES Alyssa Zhu; University of Southern California Daniel Moyer; University of Southern California Paul Thompson; University of Southern California Neda Jahanshad; University of Southern California TA5a-2: EXTREME MRI: RECONSTRUCTING HUNDRED-GIGABYTE VOLUMETRIC DYNAMIC MRI FROM NON-GATED ACQUISITIONS Frank Ong; Stanford University Xucheng Zhu; University of California, San Francisco Joseph Cheng; Stanford University Peder Larson; University of California, San Francisco Shreyas Vasanawala; Stanford University Michael Lustig; University of California, Berkeley TA5a-3: DETECTING STRUCTURAL BRAIN CONNECTIVITY DIFFERENCES IN DISEASE THROUGH A CONDUCTANCE MODEL Aina Frau-Pascual; Massachusetts General Hospital / Harvard Medical School Jean Augustinack; Massachusetts General Hospital / Harvard Medical School Bruce Fischl; Massachusetts General Hospital / Harvard Medical School Iman Aganj; Massachusetts General Hospital / Harvard Medical School TA5a-4: CONTEXTUALIZED LANGUAGE INFORMATION YIELDS MASSIVE IMPROVEMENTS IN ENCODING MODELS FOR HUMAN FMRI Alexander Huth; University of Texas at Austin </details> * TA6a: Computer Arithmetic (Invited) Toyon <details> <summary> Details </summary> TA6a-1: A PROBABILISTIC PROGRAMMING APPROACH TO THE ACCURACY AND STABILITY OF NUMERICAL ALGORITHMS George Constantinides; Imperial College London Fredrik Dahlqvist; Imperial College London TA6a-2: CONDITIONAL ESTIMATION OF RESIDUALS WITH PRESCALING FOR USE IN LOW-ENERGY DIVISION UNITS Milos Ercegovac; University of California, Los Angeles James Stine; Oklahoma State University TA6a-3: A VARIABLE-LATENCY ARCHITECTURE FOR ACCELERATING DETERMINISTIC APPROACHES TO STOCHASTIC COMPUTING Alexander Groszewski; University of Texas at Austin Earl Swartzlander; University of Texas at Austin TA6a-4: MOLECULAR COMPUTING INSPIRED BY STOCHASTIC LOGIC VIA FRACTIONAL CODING Xingyi Liu; University of Minnesota Keshab Parhi; University of Minnesota </details> * TA7a: Adaptive Beamforming and Interference Mitigation (Invited) Acacia <details> <summary> Details </summary> TA7a-1: ADAPTIVE BEAMFORMING BASED ON INTERFERENCE COVARIANCE MATRIX ESTIMATION Yujie Gu; Temple University Yimin Zhang; Temple University TA7a-2: MOVING TARGET DETECTION USING FAST ITERATIVE INTERPOLATED BEAMFORMING FOR DISTRIBUTED MIMO RADAR IN NON-HOMOGENEOUS CLUTTER Aboulnasr Hassanien; Wright State University Braham Himed; Air Force Research Laboratory Brian Rigling; Wright State University TA7a-3: ON THE CONVERGENCE OF THE FAST ITERATIVE INTERPOLATED BEAMFORMER Elias Aboutanios; University of New South Wales TA7a-4: ALGEBRAIC GEOMETRY BASED DESIGN FOR GENERALIZED SIDELOBE CANCELLER Matthew W. Morency; Delft University of Technology Sergiy A. Vorobyov; Aalto University </details> * TA8a1: Convex and Non-Convex Optimization and Phase Retrieval Merrill <details> <summary> Details </summary> TA8a1-1: EXACT AND EFFICIENT MULTI-CHANNEL SPARSE BLIND DECONVOLUTION - A NONCONVEX APPROACH Qing Qu; New York University Xiao Li; Chinese University of Hong Kong Zhihui Zhu; Johns Hopkins University TA8a1-2: BLOCK SUCCESSIVE CONVEX APPROXIMATION ALGORITHMS FOR NONSMOOTH NONCONVEX OPTIMIZATION Yang Yang; University of Luxembourg Marius Pesavento; Technische Universität Darmstadt Zhi-Quan Luo; Chinese University of Hong Kong, Shenzhen Björn Ottersten; University of Luxembourg TA8a1-3: ALTERNATING GRADIENT DESCENT ASCENT FOR NONCONVEX-STRONGLY-CONCAVE MIN-MAX OPTIMIZATION Songtao Lu; University of Minnesota, Twin-Cities Rahul Singh; Georgia Institute of Technology Xiangyi Chen; University of Minnesota, Twin-Cities Yongxin Chen; Georgia Institute of Technology Mingyi Hong; University of Minnesota, Twin-Cities TA8a1-4: SKETCHING DICTIONARY BASED ROBUST PCA IN LARGE MATRICES Xingguo Li; Princeton University Jarvis Haupt; University of Minnesota TA8a1-5: BEYOND PROCRUSTES: BALANCING-FREE GRADIENT DESCENT FOR ASYMMETRIC LOW-RANK MATRIX SENSING Cong Ma; Princeton University Yuanxin Li; Carnegie Mellon University Yuejie Chi; Carnegie Mellon University TA8a1-6: BILINEAR RECOVERY USING ADAPTIVE VECTOR-AMP Subrata Sarkar; Ohio State University Alyson Fletcher; University of California, Los Angeles Sundeep Rangan; New York University Philip Schniter; Ohio State University TA8a1-7: FOURIER PHASE RETRIEVAL WITH SIDE INFORMATION Rakib Hyder; University of California, Riverside Chinmay Hegde; Iowa State University Salman Asif; University of California, Riverside </details> * TA8a2: Compressive Sensing and Sparsity Merrill <details> <summary> Details </summary> TA8a2-1: JOINTLY SPARSE SIGNAL RECOVERY WITH PRIOR INFO Natalie Durgin; Spiceworks Rachel Grotheer; Goucher College Chenxi Huang; Yale University Shuang Li; Colorado School of Mines Anna Ma; University of California, San Diego Deanna Needell; University of California, Los Angeles Jing Qin; University of Kentucky TA8a2-2: NEAR SENSOR DECISION MAKING VIA COMPRESSED MEASUREMENTS FOR HIGHLY CONSTRAINED HARDWARE Wissam Benjilali; Univ. Grenoble Alpes, CEA, LETI, F-38000 Grenoble William Guicquero; Univ. Grenoble Alpes, CEA, LETI, F-38000 Grenoble Laurent Jacques; ISPGroup, ICTEAM/ELEN, UCLouvain, Louvainla- Neuve, Belgium Gilles Sicard; Univ. Grenoble Alpes, CEA, LETI, F-38000 Grenoble TA8a2-3: LOW COMPLEXITY STATIC AND DYNAMIC SPARSE BAYESIAN LEARNING COMBINING BP, VB AND EP MESSAGE PASSING Christo Kurisummoottil Thomas; Eurecom Dirk Slock; Eurecom TA8a2-4: C-SBL(VB): A VARIATIONAL BAYES ALGORITHM FOR SPARSE RECOVERY OF SIGNALS WITH UNKNOWN CLUSTERING PATTERN Mohammad Shekaramiz; Utah State University Todd Moon; Utah State University Jacob Gunther; Utah State University TA8a2-5: LP QUASI-NORM MINIMIZATION Mahmoud Ashour; Pennsylvania State University Constantino Lagoa; Pennsylvania State University Necdet Aybat; Pennsylvania State University TA8a2-6: DRIVING MARKOV CHAINS TO DESIRED EQUILIBRIA VIA LINEAR PROGRAMMING Harish S. Bhat; University of California, Merced Li-Hsuan Huang; University of California, Merced Sebastian Rodriguez; Northwestern University TA8a2-7: CONVERGENCE ANALYSIS OF SPARSE BAYESIAN LEARNING UNDER APPROXIMATE INFERENCE TECHNIQUES Christo Kurisummoottil Thomas; Eurecom Dirk Slock; Eurecom TA8a2-8: L_{1-2} REGULARIZED LOGISTIC REGRESSION Jing Qin; University of Kentucky Yifei Lou; University of Texas at Dallas </details> * TA8a3: Estimation and Adaptive Filtering Merrill <details> <summary> Details </summary> TA8a3-1: ON CONSTRAINED MODIFIED CRAMER-RAO LOWER BOUNDS FOR NON-STANDARD DETERMINISTIC ESTIMATION Jerome Galy; University of Montpellier 2 Lucien Bacharrach; University of Toulouse Eric Chaumette; University of Toulouse Francois Vincent; University of Toulouse TA8a3-2: ON STABILITY OF LINEAR ESTIMATORS IN POISSON NOISE Alex Dytso; Princeton University H. Vincen Poor; Princeton University TA8a3-3: ESTIMATING KULLBACK-LEIBLER DIVERGENCE USING KERNEL MACHINES Kartik Ahuja; University of California, Los Angeles TA8a3-4: EFFICIENT SER ESTIMATION FOR MIMO DETECTORS VIA IMPORTANCE SAMPLING SCHEMES Víctor Elvira; IMT Lille Douai Ignacio Santamaría; Universidad de Cantabria TA8a3-5: ENTROPY-BASED NON-DATA-AIDED SNR ESTIMATION Ferran de Cabrera; Technical University of Catalonia (UPC) Jaume Riba; Technical University of Catalonia (UPC) TA8a3-6: A GENERALIZED PROPORTIONATE-TYPE NORMALIZED SUBBAND ADAPTIVE FILTER Kuan-Lin Chen; University of California, San Diego Ching-Hua Lee; University of California, San Diego Harinath Garudadri; University of California, San Diego TA8a3-7: PROPORTIONATE ADAPTIVE FILTERS BASED ON MINIMIZING DIVERSITY MEASURES FOR PROMOTING SPARSITY Ching-Hua Lee; University of California, San Diego Bhaskar D. Rao; University of California, San Diego Harinath Garudadri; University of California, San Diego TA8a3-8: ADAPTIVE FILTERING IN DEEP IN-MEMORY ARCHITECTURES Chandrasekhar Radhakrishnan; University of Illinois Sujan Gonugondla; University of Illinois TA8a3-9: CONVEX COMBINATION OF LMF AND ZA-LMF FOR VARIABLE SPARSE SYSTEM IDENTIFICATION Naveed Iqbal; King Fahd University of Petroleum & Minerals Murwan Bashir; King Fahd University of Petroleum & Minerals Azzedine Zerguine; King Fahd University of Petroleum & Minerals TA8a3-10: FEATURE NORMALIZED LMS ALGORITHMS Hamed Yazdanpanah; Military Institute of Engineering José Antonio Apolinário Jr.; Military Institute of Engineering </details> * TA8a4: Transmission and Beamforming Schemes Merrill <details> <summary> Details </summary> TA8a4-1: ORTHOGONAL COVER CODE DESIGN FOR 802.11BE EXTREMELY HIGH THROUGHPUT WLANS Miguel M. López; Ericsson AB Leif R. Wilhelmsson; Ericsson AB TA8a4-2: D2D-AIDED MULTI-ANTENNA MULTICASTING IN A DENSE NETWORK Placido Mursia; EURECOM Italo Atzeni; University of Oulu Mari Kobayashi; Technical University of Munich David Gesbert; EURECOM TA8a4-3: MONOSTATIC BACKSCATTERING DETECTION BY MULTIANTENNA READER Deepak Mishra; Linköping University Erik G. Larsson; Linköping University TA8a4-4: ZERO-FORCING PRECODER: A SPECIAL CONSTRUCTIVE INTERFERENCE PRECODER Yanwu Ding; Wichita state university Khanh Pham; Air Force Research Laboratory TA8a4-5: TOTAL POWER MINIMIZATION: JOINT ANTENNA SELECTION AND BEAMFORMING DESIGN Mostafa Medra; University of Toronto Andrew Eckford; York University Raviraj Adve; University of Toronto TA8a4-6: ONE-BIT PRECODING CONSTELLATION DESIGN VIA AUTOENCODER-BASED DEEP LEARNING Foad Sohrabi; University of Toronto Wei Yu; University of Toronto TA8a4-7: SYNTHETIC CHANNEL DIVERSITY TO MITIGATE OUT-OF-BAND INTERFERENCE ARTIFACTS IN WIDELY TUNABLE WIRELESS RECEIVERS Alyosha Molnar; Cornell University Zachariah Boynton; Cornell University TA8a4-8: ANALYSIS OF RSRP PREDICTION IN MILLIMETER WAVE SYSTEMS Tianyang Bai; Qualcomm Flarion Technologies, Inc Juergen Cezanne; Qualcomm Flarion Technologies, Inc Hua Wang; Qualcomm Flarion Technologies, Inc Vasanthan Raghavan; Qualcomm Flarion Technologies, Inc Ozge H. Koymen; Qualcomm Flarion Technologies, Inc Junyi Li; Qualcomm Flarion Technologies, Inc TA8a4-9: DEEP LEARNING FOR DIRECT HYBRID PRECODING IN MILLIMETER WAVE MASSIVE MIMO SYSTEMS Xiaofeng Li; Arizona State University Ahmed Alkhateeb; Arizona State University </details> #### 10:15 - 11:55 * TA1b: Short-Packet Communications (Invited) Nautilus <details> <summary> Details </summary> TA1b-1: LIST DECODING OF SHORT CODES FOR COMMUNICATION OVER UNKNOWN FADING CHANNELS Marvin Xhemrishi; German Aerospace Center (DLR) Mustafa Cemil Coşkun; German Aerospace Center (DLR) Gianluigi Liva; German Aerospace Center (DLR) Johan Östman; Chalmers University of Technology Giuseppe Durisi; Chalmers University of Technology TA1b-2: FINITE-BLOCKLENGTH APPROXIMATIONS FOR NONCOHERENT RAYLEIGH BLOCK-FADING CHANNELS Alejandro Lancho; Universidad Carlos III de Madrid Johan Östman; Chalmers University of Technology Tobias Koch; Universidad Carlos III de Madrid Gonzalo Vazquez-Vilar; Universidad Carlos III de Madrid TA1b-3: CODING PERFORMANCE MODELING FOR SHORT-PACKET COMMUNICATIONS Wei Yang; Qualcomm Technologies, Inc Ying Wang; Qualcomm Technologies, Inc Joseph Soriaga; Qualcomm Technologies, Inc Tingfang Ji; Qualcomm Technologies, Inc Kiran Mukkavilli; Qualcomm Technologies, Inc TA1b-4: SHORT-PACKET LOW-POWER CODED ACCESS FOR MASSIVE MAC Suhas Kowshik; Massachusetts Institute of Technology Kirill Andreev; Skolkovo Institute of Science and Technology Alexey Frolov; Skolkovo Institute of Science and Technology Yury Polyanskiy; Massachusetts Institute of Technology </details> * TA2b: Signal Processing for Multiple-Antenna Systems with Coarsely Quantized Signals (Invited) Surf & Sand <details> <summary> Details </summary> A2b-1: OPTIMIZATION OF DISTRIBUTED MASSIVE MIMO NETWORKS WITH COARSE QUANTIZATION Alister Burr; University of York Kanapthipillai Cumanan; University of York Manijeh Bashar; University of Surrey Dick Maryopi; University of York Shammi Farhana Islam; University of York TA2b-2: SPATIAL SIGMA-DELTA MODULATION FOR THE MASSIVE MIMO DOWNLINK Mingjie Shao; Chinese University of Hong Kong Wing-Kin Ma; Chinese University of Hong Kong Qiang Li; University of Electronic Science and Technology of China Lee Swindlehurst; University of California, Irvine TA2b-3: LINEAR TRANSMIT PROCESSING WITH OPTIMIZED DITHERING Amodh Kant Saxena; University of Texas at Austin Amine Mezghani; University of Texas at Austin Robert W. Heath Jr.; University of Texas at Austin Jeffrey Andrews; University of Texas at Austin TA2b-4: JOINT AUTOMATIC GAIN CONTROL AND RECEIVER DESIGN FOR LARGE-SCALE MU-MIMO WITH C-RANS AND COARSE QUANTIZATION. Thiago Cunha; Pontifical Catholic University of Rio de Janeiro Rodrigo de Lamare; Pontifical Catholic University of Rio de Janeiro Tadeu Ferreira; Fluminense Federal University </details> * TA3b: Optimization of MIMO Systems (Invited) Triton <details> <summary> Details </summary> TA3b-1: FIRST ORDER METHODS FOR POWER CONTROL IN CELL-FREE MASSIVE MIMO Hien Quoc Ngo; Queen's University Belfast Le-Nam Tran; University College Dublin TA3b-2: MAMIMO CELL ALLOCATION STRATEGIES: HOW MUCH DOES IT MATTER? Andrea P. Guevara; KU Leuven Cheng-Ming Chen; KU Leuven Sofie Pollin; KU Leuven TA3b-3: TWO-STAGE BEAMFORMER DESIGN VIA DETERMINISTIC EQUIVALENTS Hossein Asgharimoghaddam; University of Oulu Antti Tolli; University of Oulu TA3b-4: UTILITY-BASED PRECODING OPTIMIZATION FRAMEWORK FOR LARGE INTELLIGENT SURFACES Emil Björnson; Linköping University Luca Sanguinetti; University of Pisa </details> * TA4b: Theory of Deep Learning (Invited) Heather <details> <summary> Details </summary> TA4b-1: A SPLINE THEORY OF DEEP NETWORKS Randall Balestriero; Rice University Richard Baraniuk; Rice University TA4b-2: INFORMATION IN THE WEIGHTS AND EMERGENT PROPERTIES OF TRAINING DEEP NEURAL NETWORKS Alessandro Achille; University of California, Los Angeles Stefano Soatto; University of California, Los Angeles TA4b-3: UNDERSTANDING GENERALIZATION IN NEURAL NETS VIA VISUALIZATION W Huang; University of Maryland Zeyad Emam; University of Maryland Micah Goldblum; University of Maryland Liam Fowl; University of Maryland Justin Terry; University of Maryland Tom Goldstein; University of Maryland TA4b-4: ON EXACT COMPUTATION WITH AN INFINITELY WIDE NEURAL NET Sanjeev Arora; Princeton University Simon S. Du; Carnegie Mellon University Wei Hu; Princeton University Zhiyuan Li; Princeton University Ruslan Salakhutdinov; Carnegie Mellon University Ruosong Wang; Carnegie Mellon University TA4b-5: DO IMAGENET CLASSIFIERS GENERALIZE TO IMAGENET? Ludwig Schmidt; University of California, Berkeley </details> * TA5b: Neuroscience-inspired Machine Learning (Invited) Scripps <details> <summary> Details </summary> TA5b-1: INFERENCE IN PROBABILISTIC GRAPHICAL MODELS BY GRAPH NEURAL NETWORKS KiJung Yoon; Hanyang University Renjie Liao; University of Toronto Yuwen Xiong; University of Toronto Lisa Zhang; University of Toronto Mississauga Ethan Fetaya; University of Toronto Raquel Urtasun; University of Toronto Richard Zemel; University of Toronto Xaq Pitkow; Baylor College of Medicine TA5b-2: A PENALTY METHOD FOR THE CORRELATION GAME Kyle Luther; Princeton University Runzhe Yang; Princeton University Sebastian Seung; Princeton University TA5b-3: NUMERICALLY STABLE GRADIENT DESCENT INSPIRED BY NEURAL DYNAMICS Piotr Sokol; Stony Brook University Ian Jordan; Stony Brook University Eben Kadile; Stony Brook University Il Memming Park; Stony Brook University TA5b-4: LEARNING DISENTANGLED NEURAL REPRESENTATIONS OF SYMMETRY TRANSFORMATIONS Harshvardhan Sikka; Harvard University Weishun Zhong; Massachusetts Institute of Technology Jun Yin; Harvard University Cengiz Pehlevan; Harvard University </details> * TA6b: VLSI Systems for Communications (Invited) Toyon <details> <summary> Details </summary> TA6b-1: A LOW-POWER SCALABLE SIGNAL PROCESSING CHIP PLATFORM FOR 5G AND BEYOND - KACHEL Gerhard Fettweis; Technical University of Dresden Emil Matus; Technical University of Dresden Robert Wittig; Technical University of Dresden Mattis Hassler; Technical University of Dresden Stefan Damjancevic; Technical University of Dresden Sebastian Haas; Technical University of Dresden Friedrich Pauls; Technical University of Dresden Seungseok Nam; Technical University of Dresden Nairuhi Grigoryan; Technical University of Dresden TA6b-2: AN ARCHITECTURE FOR GRANT-FREE MASSIVE MIMO MTC BASED ON COMPRESSIVE SENSING Markus Tran; Linköping University Oscar Gustafsson; Linköping University Petter Källström; Linköping University Kamil Senel; Linköping University Erik G. Larsson; Linköping University TA6b-3: A PROGRAMMABLE 16X16 SYSTOLIC ARRAY ENHANCED ASIP FOR MASSIVE MIMO Mohammad Attari; Lund University Steffen Malkowsky; Lund University Yaoyu Tao; University of Michigan Zhengya Zhang; University of Michigan Ove Edfors; Lund University Liang Liu; Lund University TA6b-4: DESIGN TRADE-OFFS FOR DECENTRALIZED BASEBAND PROCESSING IN MASSIVE MU-MIMO SYSTEMS Kaipeng Li; Rice University James McNaney; Rice University Oscar Castaneda; Cornell University Chance Tarver; Rice University Charles Jeon; Intel Labs Joseph R. Cavallaro; Rice University Christoph Studer; Cornell University </details> * TA7b: Automotive Radar (Invited) Acacia <details> <summary> Details </summary> TA7b-1: OPTIMUM DESIGN FOR SPARSE FDA-MIMO AUTOMOTIVE RADAR Saeid Sedighi; University of Luxembourg Bhavani Shankar Mysore R; University of Luxembourg Kumar Vijay Mishra; University of Luxembourg Björn Ottersten; University of Luxembourg TA7b-2: ROBUST AND ADAPTIVE RADAR ELLIPTICAL DENSITY-BASED SPATIAL CLUSTERING AND LABELLING FOR MMWAVE RADAR POINT CLOUD DATA Renyuan Zhang; University of Arizona Siyang Cao; University of Arizona TA7b-3: MEASURING RADAR AND COMMUNICATION CONGRUENCE AT MILLIMETER WAVE FREQUENCIES Andrew Graff; University of Texas at Austin Anum Ali; University of Texas at Austin Nuria Gonzalez-Prelcic; University of Texas at Austin / University of Vigo TA7b-4: OVERVIEW OF AUTOMOTIVE RADAR TEST-BED AT U. WASHINGTON Xiangyu Gao; University of Washington Guanbin Xing; University of Washington Weihua Jiang; University of Washington Sumit Roy; University of Washington Hui Liu; University of Washington </details> * TA8b1: Communication Systems Merrill <details> <summary> Details </summary> TA8b1-1: PROBABILISTIC SHADOWING MODEL FOR INDOOR OPTICAL WIRELESS COMMUNICATION SYSTEMS Hamid Hosseinianfar; University of Virginia Jie Lian; University of Virginia Maite Brandt-Pearce; University of Virginia TA8b1-2: OPTIMAL REPLAY-BASED CHANNEL SIMULATION VIA DITHERING METHODS Sijung Yang; University of Illinois at Urbana-Champaign Andrew C. Singer; University of Illinois at Urbana-Champaign TA8b1-3: MILLIMETER WAVE MASSIVE MIMO DOWNLINK PER GROUP COMMUNICATIONS WITH HYBRID LINEAR PRECODING Thomas Ketseoglou; California State Polytechnic University, Pomona Matthew Valenti; West Virginia University Ender Ayanoglu; University of California, Irvine TA8b1-4: JOINT POWER AND RESOURCE ALLOCATION OF D2D COMMUNICATION WITH LOW-RESOLUTION ADC Muralikrishnan Srinivasan; Indian Institute of Technology, Madras Athira Subhash; Indian Institute of Technology, Madras Sheetal Kalyani; Indian Institute of Technology, Madras TA8b1-5: NEAR-OPTIMAL QUANTIZATION FOR LOS MIMO Ahmet Dundar Sezer; University of California, Santa Barbara Upamanyu Madhow; University of California, Santa Barbara TA8b1-6: COMPARASION-LIMITED VECTOR QUANTIZATION Joseph Chataignon; Université Jean Monnet, Saint-Étienne Stefano Rini; National Chiao Tung University TA8b1-7: SPATIAL PROPERTIES OF INDUSTRIAL WIRELESS ULTRA-RELIABLE LOW-LATENCY COMMUNICATION MIMO LINKS Stefan Zelenbaba; Austrian Institute of Technology Markus Hofer; Austrian Institute of Technology David Löschenbrand; Austrian Institute of Technology Georg Kail; Siemens Aktiengesellschaft Österreich Martin Schiefer; Siemens Aktiengesellschaft Österreich Thomas Zemen; Austrian Institute of Technology TA8b1-8: LEARNING-BASED DELAY OPTIMIZATION FOR SELF-BACKHAULED MILLIMETER WAVE CELLULAR NETWORKS Manan Gupta; University of Texas at Austin Anil Rao; Nokia Eugene Visotsky; Nokia Mark C. Cudak; Nokia Amitava Ghosh; Nokia Jeffrey G. Andrews; University of Texas at Austin TA8b1-9: ENERGY OPTIMIZATION FOR INCREMENTAL REDUNDANCY HYBRID-ARQ Bentao Zhang; University of California, San Diego Pamela Cosman; University of California, San Diego Larry Milstein; University of California, San Diego TA8b1-10: SECURE REGULARIZED ZERO FORCING FOR MULTIUSER MIMOME CHANNELS Saba Asaad; Friedrich-Alexander Universität Erlangen-Nürnberg Ali Bereyhi; Friedrich-Alexander Universität Erlangen-Nürnberg Ralf R. Müller; Friedrich-Alexander Universität Erlangen-Nürnberg Rafael F. Schaefer; Technical University of Berlin </details> * TA8b2: Learning and Estimation in Imaging Merrill <details> <summary> Details </summary> TA8b2-1: RANK-REGULARIZED MEASUREMENT OPERATORS FOR COMPRESSIVE IMAGING Suhas Lohit; Arizona State University Rajhans Singh; Arizona State University Kuldeep Kulkarni; Adobe Research Pavan Turaga; Arizona State University TA8b2-2: SELECTING PARAMETERS FOR IMAGE PROCESSING ALGORITHMS: A CASE STUDY USING RETINAL IMAGE SEGMENTATION Chandrika Kamath; Lawrence Livermore National Laboratory TA8b2-3: CRYSTAL CENTERING USING DEEP LEARNING IN X-RAY CRYSTALLOGRAPHY Jonathan Schurmann; Lund University Isaak Lindhe; Lund University Jorn W. Janneck; Lund University Gustavo Lima; Lund University Zdenek Matej; Lund University TA8b2-4: OPTIMIZING A COMPRESSIVE IMAGERS FOR MACHINE LEARNING TASKS Brian Redman; Sandia National Laboratories Meghan Galiardi; Sandia National Laboratories Tu-Thack Quach; Sandia National Laboratories Charles LaCasse; Sandia National Laboratories Amber Dagel; Sandia National Laboratories Gabriel Birch; Sandia National Laboratories TA8b2-5: COMPUTER GRAPHICS MEETS ESTIMATION THEORY: PARAMETER ESTIMATION LOWER BOUNDS FOR PLENOPTIC IMAGING SYSTEMS Abhinav V. Sambasivan; University of Minnesota, Twin-Cities Richard Paxman; Maxar Jarvis Haupt; University of Minnesota, Twin-Cities TA8b2-6: UNSUPERVISED LEARNING OF NONLINEAR MIXTURES: IDENTIFIABILITY AND ALGORITHM Bo Yang; University of Minnesota Xiao Fu; Oregon State University Nicholas D. Sidiropoulos; University of Virginia Kejun Huang; University of Florida TA8b2-7: LOW-RANK MATRIX COMPLETION FOR DISTRIBUTED AMBIENT NOISE IMAGING SYSTEMS Danye Xu; University of Science and Technology of China Bingqing Song; University of Science and Technology of China Rui Zhang; Georgia Institute of Technology Yao Xie; Georgia Institute of Technology Sin-Mei Wu; University of Utah Fan-Chi Lin; University of Utah WenZhan Song; University of Georgia TA8b2-8: COMPRESSIVE SAR IMAGE RECOVERY AND CLASSIFICATION VIA CNNS Michael Wharton; Ohio State University Edward Reehorst; Ohio State University Philip Schniter; Ohio State University </details> * TA8b3: Cognitive Radio, Spectrum Sharing, Localization, and Radar Merrill <details> <summary> Details </summary> TA8b3-1: DETECTION AND LOCALIZATION OF MULTIPLE TARGETS IN IEEE 802.11AD NETWORKS Emanuele Grossi; Università degli Studi di Cassino e del Lazio Meridionale Marco Lops; Università degli Studi di Napoli Luca Venturino; Università degli Studi di Cassino e del Lazio Meridionale TA8b3-2: MULTI-USER MABS WITH USER DEPENDENT REWARDS FOR UNCOORDINATED SPECTRUM ACCESS Akshayaa Magesh; University of Illinois at Urbana-Champaign Venugopal Veeravalli; University of Illinois at Urbana-Champaign TA8b3-3: SPARSE CODE-DOMAIN NON-ORTHOGONAL RANDOM ACCESS WITH TURBO-PEELING DECODER Johannes Dommel; Fraunhofer Heinrich Hertz Institute Zoran Utkovski; Fraunhofer Heinrich Hertz Institute Lars Thiele; Fraunhofer Heinrich Hertz Institute Slawomir Stanczak; Fraunhofer Heinrich Hertz Institute TA8b3-4: MULTI-MODE AUTONOMOUS COMMUNICATION SYSTEMS Miguel Calvo-Fullana; University of Pennsylvania Fikadu T. Dagefu; US Army Research Laboratory Brian M. Sadler; US Army Research Laboratory Alejandro Ribeiro; University of Pennsylvania TA8b3-5: HIGH-PERFORMANCE DEEP LEARNING CLASSIFICATION FOR RADIO SIGNALS Ahsen Uppal; George Washington University Philip Sallee; Raytheon Michael Hegarty; George Washington University William Haftel; George Washington University Howie Huang; George Washington University Brown Cribbs; Raytheon TA8b3-6: DEEP MODULATION RECOGNITION IN AN UNKNOWN ENVIRONMENT Lei Li; University of Electronic Science and Technology of China Qihang Peng; University of Electronic Science and Technology of China Pamela Cosman; University of California, San Diego Laurence Milstein; University of California, San Diego TA8b3-7: UWB RADAR VIBROMETRY: AN RF MICROPHONE Yu Rong; Arizona State University Sharanya Srinivas; Arizona State University Adarsh Venkataramani; Arizona State University Daniel Bliss; Arizona State University TA8b3-8: REDUCING THE COMPLEXITY OF FINGERPRINTING-BASED POSITIONING USING LOCALITY-SENSITIVE HASHING Larry Tang; Cornell University Ramina Ghods; Cornell University Christoph Studer; Cornell University </details> * TA8b4: System Analysis, Performance Evaluation, and Optimization Merrill <details> <summary> Details </summary> TA8b4-1: EMPIRICAL AND SIMULATED PERFORMANCE EVALUATION OF DISTRIBUTED MASSIVE MIMO David Löschenbrand; AIT Austrian Institute of Technology Markus Hofer; AIT Austrian Institute of Technology Benjamin Rainer; AIT Austrian Institute of Technology Thomas Zemen; AIT Austrian Institute of Technology TA8b4-3: THE EFFECT OF CHANNEL UNCERTAINTY ON MAX-MIN GOODPUT Mostafa Medra; University of Toronto Andrew Eckford; York University Raviraj Adve; University of Toronto TA8b4-4: THROUGHPUT AND DELAY DRIVEN ACCESS POINT PLACEMENT Govind R. Gopal; University of California, San Diego Bhaskar D. Rao; University of California, San Diego TA8b4-5: OFF-GRID AWARE SPATIAL COVARIANCE ESTIMATION IN MMWAVE COMMUNICATIONS Chethan Kumar Anjinappa; North Carolina State University Ali Cafer Gurbuz; Mississippi State University Yavuz Yapici; North Carolina State University Ismail Guvenc; North Carolina State University TA8b4-6: FUNDAMENTAL LIMITATIONS OF LARGE ANTENNA ARRAYS FOR MILLIMETER WAVE SYSTEMS Vasanthan Raghavan; Qualcomm Ali Tassoudji; Qualcomm Yu-Chin Ou; Qualcomm Kobi Ravid; Qualcomm Ozge Koymen; Qualcomm Junyi Li; Qualcomm TA8b4-7: ON A FUNDAMENTAL PREDICTABILITY-DISTORTION TRADE-OFF IN DECENTRALIZED DECISIONAL NETWORKS Lorenzo Miretti; EURECOM Paul de Kerret; EURECOM David Gesbert; EURECOM TA8b4-8: MULTI-USER MASSIVE MIMO PROPERTIES IN URBAN-MACRO CHANNEL MEASUREMENTS Lars Thiele; Fraunhofer Heinrich Hertz Institute Martin Kurras; Fraunhofer Heinrich Hertz Institute Moritz Lossow; Fraunhofer Heinrich Hertz Institute Leszek Raschkowski; Fraunhofer Heinrich Hertz Institute Stephan Jaeckel; Fraunhofer Heinrich Hertz Institute TA8b4-9: CHARACTERIZATION OF THE MSE REGION UNDER A TOTAL POWER BUDGET FOR ASYNCHRONOUS TWO-WAY RELAY NETWORKS Razgar Rahimi; University of Ontario Institute of Technology Shahram ShahbazPanahi; University of Ontario Institute of Technology Bjorn Ottersten; University of Luxembourg TA8b4-10: A COMPARATIVE STUDY OF ANALOG/DIGITAL SELF-INTERFERENCE CANCELLATION FOR FULL DUPLEX RADIOS Jong Woo Kwak; Yonsei University Min Soo Sim; Yonsei University In-Woong Kang; Agency for Defense Development Jong Sung Park; Agency for Defense Development Jaedon Park; Agency for Defense Development Chan-Byoung Chae; Yonsei University </details> #### 12:00 - 13:00 Lunch Crocker Dining Hall #### 13:30 - 15:10 * TP1a: Vehicle-to-Everything (V2X) Communication for Emerging Applications (Invited) Nautilus <details> <summary> Details </summary> TP1a-1: V2X COMMUNICATIONS: FROM LTELTERELEASE 14 TOWARDS UNIFIED MMWAVE VEHICULAR COMMUNICATIONS AND RADAR SENSING Vitaly Petrov; Tampere University of Technology Gabor Fodor; Ericsson Research Sergey Andreev; Tampere University of Technology Hieu Do; Ericsson Research Henrik Sahlin; Ericsson Research TP1a-2: CONGESTION CONTROL MECHANISMS IN IEEE 802.11P AND SHORT-RANGE LTE-V2X Alessandro Bazzi; CNR TP1a-3: OPTIMAL DECEPTION ATTACK ON NETWORKED VEHICULAR CYBER PHYSICAL SYSTEMS Arpan Chattopadhyay; Indian Institute of Technology, Delhi Urbashi Mitra; University of Southern California Erik Strom; Chalmers University of Technology TP1a-4: A HYBRID SENSING AND REINFORCEMENT LEARNING APPROACH FOR SCHEDULING VEHICLE-TO-VEHICLE COMMUNICATIONS Taylan Sahin; Huawei Mate Boban; Huawei Ramin Khalili; Huawei Adam Wolisz; Technical University of Berlin </details> * TP2a: Self-Interference Cancellation in Radio Frequency Transceivers * (Invited) Surf & Sand <details> <summary> Details </summary> TP2a-1: A NEURAL NETWORK APPROACH FOR THE CANCELLATION OF THE SECOND-ORDER-INTERMODULATION DISTORTION IN 4G/5G TRANSCEIVERS Oliver Ploder; Johannes Kepler University Linz Christian Motz; Johannes Kepler University Linz Thomas Paireder; Johannes Kepler University Linz Mario Huemer; Johannes Kepler University Linz TP2a-2: ADVANCED MACHINE LEARNING TECHNIQUES FOR SELF-INTERFERENCE CANCELLATION IN FULL-DUPLEX RADIOS Andreas Toftegaard Kristensen; Ecole polytechnique fédérale de Lausanne (EPFL) Andreas Burg; Ecole polytechnique fédérale de Lausanne (EPFL) Alexios Balatsoukas-Stimming; Ecole polytechnique fédérale de Lausanne (EPFL) TP2a-3: SELF INTERFERENCE CHANNEL CHARACTERIZATION FOR FULL DUPLEX RECONFIGURABLE ANTENNA BASED SYSTEMS Sergey Shaboyan; University of California, Irvine Alireza Behbahani; University of California, Irvine Ahmed Eltawil; University of California, Irvine TP2a-4: HIGH-ACCURACY RADIO SENSING IN 5G NEW RADIO NETWORKS: PROSPECTS AND SELF-INTERFERENCE CHALLENGE Carlos Baquero Barneto; Tampere University Matias Turunen; Tampere University Sahan Liyanaarachchi; Tampere University Lauri Anttila; Tampere University Alberto Brihuega; Tampere University Taneli Riihonen; Tampere University Mikko Valkama; Tampere University </details> * TP3a: MIMO and Cognitive Radar (Invited) Triton <details> <summary> Details </summary> TP3a-1: WAVEFORM DESIGN FOR ONE-BIT RADAR SYSTEMS UNDER UNCERTAIN INTERFERENCE STATISTICS Aria Ameri; University of Illinois at Chicago Arindam Bose; University of Illinois at Chicago Mojtaba Soltanalian; University of Illinois at Chicago TP3a-2: PERIODIC BINARY WAVEFORM DESIGN FOR MIMO RADAR Ronghao Lin; University of Science and Technology of China Jian Li; University of Florida TP3a-3: JOINT RADAR-COMMUNICATIONS RECEIVER PERFORMANCE BOUNDS FOR A MIMO GMTI RADAR Owen Ma; Arizona State University Alex Chiriyath; Arizona State University Daniel Bliss; Arizona State University TP3a-4: OPTIMAL ANTENNA SELECTION SEQUENCE FOR MIMO RADAR Shahar Villeval; Ben-Gurion University of the Negev Igal Bilik; General Motors Joseph Tabrikian; Ben Gurion University of the Negev </details> * TP4a: Machine Learning and Inverse Problems (Invited) Heather <details> <summary> Details </summary> TP4a-1: DEEP NEURAL NETWORKS MOTIVATED BY PDES Lars Ruthotto; Emory University TP4a-2: CRYO-ELECTRON MICROSCOPY IMAGE ANALYSIS USING MULTI-FREQUENCY VECTOR DIFFUSION MAPS Yifeng Fan; University of Illinois at Urbana-Champaign Zhizhen Zhao; University of Illinois at Urbana-Champaign TP4a-3: SOLVING PDES WITH DEEP LEARNING Yuehaw Khoo; Stanford University TP4a-4: AN ARCHITECTURE FOR WAVES Ivan Dokmanic; University of Illinois at Urbana Champaign Konik Kothari; University of Illinois at Urbana Champaign Maarten de Hoop; Rice University </details> * TP5a: Deep Learning and Neuroscience (Invited) Scripps <details> <summary> Details </summary> TP5a-1: MODELING VARIABILITY IN BRAIN ARCHITECTURE BY COMBINING DISCRIMINATIVE CONVOLUTIONAL NEURAL NETWORKS WITH UNSUPERVISED LEARNING Aishwarya Balwani; Georgia Institute of Technology Eva Dyer; Georgia Institute of Technology ; TP5a-2: REVERSE ENGINEERING NEURAL NETWORKS TO UNDERSTAND HOW TO REVERSE ENGINEER BRAINS Konrad Kording; University of Pennsylvania TP5a-3: SYNTHETIC POWER ANALYSES; EMPIRICAL EVALUATION AND APPLICATION TO COGNITIVE NEUROIMAGING. Peiye Zhuang; University of Illinois at Urbana-Champaign Bliss Chapman; University of Illinois at Urbana-Champaign Ran Li; University of Illinois at Urbana-Champaign Sanmi Koyejo; University of Illinois at Urbana-Champaign TP5a-4: TRANSFER LEARNING ANALYSIS OF IMAGE PROCESSING WORKFLOWS FOR ELECTRON MICROSCOPY DATASETS Erik Johnson; Johns Hopkins University Applied Physics Laboratory Luis Rodriguez; Johns Hopkins University Applied Physics Laboratory Raphael Norman-Tenazas; Johns Hopkins University Applied Physics Laboratory William Gray-Roncal; Johns Hopkins University Applied Physics Laboratory </details> * TP6a: Sparse Arrays, Non-convex Inverse Problems, and Fundamental Limits (Invited) Toyon <details> <summary> Details </summary> TP6a-1: ANALOG BEAMFORMING FOR ACTIVE IMAGING USING SPARSE ARRAYS Robin Rajamäki; Aalto University Sundeep Chepuri; Indian Institute of Science Visa Koivunen; Aalto University TP6a-2: SPARSE ARRAY DESIGN UTILIZING MATRIX COMPLETION Syed Ali Hamza; Villanova University Moeness Amin; Villanova University TP6a-3: REDUCED DIMENSION BEAMSPACE DESIGN FORMING NESTED ARRAY FOR MMWAVE CHANNEL ESTIMATION Rohan R Pote; University of California, San Diego Bhaskar D Rao; University of California, San Diego TP6a-4: THE GEOMETRY OF ORTHOGONAL DICTIONARY LEARNING USING L1 MINIMIZATION Qiuwei Li; Colorado School of Mines Zhihui Zhu; Johns Hopkins University Michael Wakin; Colorado School of Mines Gongguo Tang; Colorado School of Mines </details> * TP7a: Machine Learning and Optimization in Distributed Networks (Invited) (Acacia) <details> <summary> Details </summary> TP7a-1: WALKMEN: A MULTI-RANDOM-WALK ALGORITHM FOR DECENTRALIZED OPTIMIZATION Xianghui Mao; Tsinghua University Wotao Yin; Alibaba Group Kun Yuan; University of California, Los Angeles TP7a-2: UNDERSTANDING THE LIMITS OF COMMUNICATION EFFICIENT DISTRIBUTED TRAINING Hongyi Wang; University of Wisconsin-Madison Saurabh Agarwal; University of Wisconsin-Madison Zachary Charles; University of Wisconsin-Madison Shivaram Venkataraman; University of Wisconsin-Madison Dimitris Papailiopoulos; University of Wisconsin-Madison TP7a-3: FEDERATED LEARNING WITH AUTOTUNED COMMUNICATION-EFFICIENT SECURE AGGREGATION Keith Bonawitz; Google Fariborz Salehi; California Institute of Technology / Google Jakub Konečný; Google Brendan McMahan; Google Marco Gruteser; Google TP7a-4: FED-DANE: A FEDERATED DISTRIBUTED APPROXIMATE NEWTON METHOD Anit Kumar Sahu; Bosch Center for Artificial Intelligence Virginia Smith; Carnegie Mellon University </details> * TP8a1: Coding and Caching Merrill <details> <summary> Details </summary> TP8a1-1: AN OPTIMIZATION FRAMEWORK FOR SECURE DELIVERY IN HETEROGENEOUS CODED CACHING SYSTEMS Ahmed A. Zewail; Pennslyvania State University Abdelrahman M. Ibrahim; Pennslyvania State University Aylin Yener; Pennslyvania State University TP8a1-2: PREDICTION OF CONTENT POPULARITY USING RECOMMENDATION IN CACHING NETWORKS Youssef Ahmed; Wireless Intelligent Networks Center (WINC), Nile University Sameh Hosny; Wireless Intelligent Networks Center (WINC), Nile University John Tadrous; Gonzaga University Mohammed Nafie; Wireless Intelligent Networks Center (WINC), Nile University Mohamed Salah Ibrahim; University of Virginia TP8a1-3: BRIDGING THE GAP BETWEEN MULTIPLEXING AND DIVERSITY IN FINITE SNR MULTIPLE ANTENNA CODED CACHING Eleftherios Lampiris; Eurecom Petros Elia; Eurecom Giuseppe Caire; Technical University of Berlin TP8a1-4: SUBPACKETIZATION LEVEL IN OPTIMAL PLACEMENT FOR CODED CACHING WITH NONUNIFORM FILE POPULARITIES Yong Deng; University of Ontario Institute of Technology Min Dong; University of Ontario Institute of Technology TP8a1-5: JOINT USER CLUSTERING AND CONTENT CACHING WITH HETEROGENOUS USER CONTENT PREFERENCES Feng Chiu; National Chiao Tung University Ting-Yu Kuo; National Chiao Tung University Feng-Tsun Chien; National Chiao Tung University Wan-Jen Huang; National Sun Yat-sen University Min-Kuan Chang; National Chung Hsing University TP8a1-6: HARQ STRATEGIES FOR RELAY SYSTEMS WITH LIMITED FEEDBACK Mai Zhang; Purdue University Borja Peleato; Purdue University TP8a1-7: CORRECTING DELETIONS IN PROBABILISTIC NON-BINARY SEGMENTED BURST DELETION CHANNELS Chen Yi; New Jersey Institute of Technology Joerg Kliewer; New Jersey Institute of Technology TP8a1-8: EFFICIENT INFORMATION RECONCILIATION FOR ENERGY-TIME ENTANGLEMENT QUANTUM KEY DISTRIBUTION Siyi Yang; University of California, Los Angeles Murat Can Sarihan; University of California, Los Angeles Kai-Chi Chang; University of California, Los Angeles Chee Wei Wong; University of California, Los Angeles Lara Dolecek; University of California, Los Angeles TP8a1-9: ONLINE CACHING POLICY WITH USER PREFERENCES AND TIME-DEPENDENT REQUESTS: A REINFORCEMENT LEARNING APPROACH Mohammad Hatami; University of Oulu Markus Leinonen; University of Oulu Marian Codreanu; Linköping University </details> * TP8a2: Multi-Sensor Parameter Estimation Merrill <details> <summary> Details </summary> TP8a2-1: TIME-OF-ARRIVAL ESTIMATION IN MULTIPATH CHANNELS FROM MULTIBAND SAMPLES IN NONUNIFORM NOISE Tarik Kazaz; Delft University of Technology Gerard Janssen; Delft University of Technology Alle-Jan van der Veen; Delft University of Technology TP8a2-2: SOURCE ENUMERATION AND ROBUST VOICE ACTIVITY DETECTION IN WIRELESS ACOUSTIC SENSOR NETWORKS Tanuj Hasija; Universitaet Paderborn Martin Gölz; Universitaet Darmstadt Michael Muma; Universitaet Darmstadt Peter Schreier; Universitaet Paderborn Abdelhak Zoubir; Universitaet Darmstadt TP8a2-3: ADAPTIVE BEAMFORMING AND CHANNEL ESTIMATION FOR MMWAVE INITIAL ALIGNMENT Nancy Ronquillo; University of California, San Diego Sung-En Chiu; University of California, San Diego Tara Javidi; University of California, San Diego TP8a2-4: NON-ITERATIVE SUBSPACE-BASED METHOD FOR ESTIMATING AR MODEL PARAMETERS IN THE PRESENCE OF WHITE NOISE WITH UNKNOWN VARIANCE Majdoddin Esfandiari; Aalto University Sergiy A. Vorobyov; Aalto University Mahmood Karimi; Shiraz University TP8a2-5: ASYMPTOTICALLY EFFICIENT ESTIMATION OF SEA CLUTTER INTENSITY MODEL PARAMETERS USING LOG-BASED MOMENTS Judith Northrop; Northrop Grumman Antonia Papandreou-Suppappola; Arizona State University TP8a2-6: TWO-CHANNEL PASSIVE DETECTION OF CYCLOSTATIONARY SIGNALS IN NOISE WITH SPATIO-TEMPORAL STRUCTURE Stefanie Horstmann; University of Paderborn David Ramirez; Universidad Carlos III de Madrid Peter J. Schreier; University of Paderborn Aaron Pries; University of Paderborn TP8a2-7: TRANSVERSAL VELOCITY MEASUREMENT OF MULTIPLE TARGETS BASED ON SPATIAL INTERFEROMETRIC AVERAGING Xiangrong Wang; Beihang University Pengcheng Wang; Beihang University Victor Chen; Ancortek Inc. TP8a2-8: HYPERSPECTRAL IMAGE COMPRESSION AND SUPER-RESOLUTION USING TENSOR DECOMPOSITION LEARNING Anastasia Aidini; Foundation for Research and Technology-Hellas Michalis Giannopoulos; Foundation for Research and Technology-Hellas Anastasia Pentari; Foundation for Research and Technology-Hellas Konstantina Fotiadou; Foundation for Research and Technology-Hellas Grigorios Tsagkatakis; Foundation for Research and Technology-Hellas Panagiotis Tsakalides; Foundation for Research and Technology-Hellas </details> * TP8a3: Array Signaling, Calibration, and Processing Merrill <details> <summary> Details </summary> TP8a3-1: IN-FIELD CALIBRATION OF ANTENNAS OR ANTENNA ARRAYS USING WAVEFIELD MODELING Robert Pöhlmann; German Aerospace Center (DLR) Siwei Zhang; German Aerospace Center (DLR) Armin Dammann; German Aerospace Center (DLR) TP8a3-2: THE EXTENDED MANIFOLD FOR DIVERSELY POLARIZED ANTENNA ARRAYS Benjamin Friedlander; University of California, Santa Cruz TP8a3-3: ANTENNA ARRAY CALIBRATION WITH MODEL MISMATCH Benjamin Friedlander; University of California, Santa Cruz TP8a3-4: BLIND CALIBRATION OF SENSOR ARRAYS WITH BROAD BAND SOURCES Krishnaprasad Nambur Ramamohan; Delft University of Technology Sundeep Prabhakar Chepuri; Indian Institute of Science Daniel Fernandez Comesana; Microflown Technologies Geert Leus; Delft University of Technology TP8a3-5: A NOVEL SIGNALING STRATEGY FOR DUAL-FUNCTION MIMO RADAR-COMMUNICATIONS WITH CONSTANT MODULUS AND DIRECTIONAL PATTERN Xiangrong Wang; Beihang University TP8a3-6: COHERENT JAMMER MITIGATION WITH TARGET SIGNATURES USING LFM AND FRANK-CODED WAVEFORMS Heitor Albuquerque; Naval Postgraduate School Ric Romero; Naval Postgraduate School TP8a3-7: NOVEL NEIGHBORHOOD BLANKER PROCESSING OF RADAR SIGNALS FOR ENHANCED DELAY-DOPPLER RESOLUTION I-Fan Lin; Purdue University Mark R. Bell; Purdue University TP8a3-8: A MULTI-CHANNEL FEEDFORWARD ANC WITH FXLMS ALGORITHM FOR AVIATION-NOISE SUPPRESSION Chadaporn Sookpuwong; King Mongkut's Institute of Technology Ladkrabang Chow Chompoo-Inwai; King Mongkut's Institute of Technology Ladkrabang </details> * TP8a4: Biomedical Imaging and Signal Processing Merrill <details> <summary> Details </summary> TP8a4-1: AN OPTIMAL SPATIOTEMPORAL NOISE FILTER FOR NI/OCT IMAGING James Glenn-Anderson; Supercomputer Systems, Inc. Ying Yu; Supercomputer Systems, Inc. TP8a4-2: PERCEPTUALLY DRIVEN CONDITIONAL GAN FOR FOURIER PTYCHOGRAPHY Abhinau Kumar V; Indian Institute of Technology, Hyderabad Shashank Gupta; Indian Institute of Technology, Hyderabad Sumohana Channappayya; Indian Institute of Technology, Hyderabad TP8a4-3: IMAGING WITH DISTRIBUTED LENSLESS LINE SENSORS Yucheng Zheng; University of California, Riverside Salman Asif; University of California, Riverside TP8a4-4: BRADYCARDIA PREDICTION IN PRETERM INFANTS USING NONPARAMETRIC KERNEL DENSITY ESTIMATION Subhasish Das; Arizona State University Bahman Moraffah; Arizona State University Sandeep K.S. Gupta; Arizona State University Antonia Papandreou-Suppappola; Arizona State University TP8a4-5: MODIFIED TIME DELAY OF ARRIVAL FOR BIOMEDICAL AND ENVIRONMENTAL APPLICATIONS Chinmay Sahu; Clarkson University Mahesh Banavar; Clarkson University Jie Sun; Clarkson University TP8a4-6: OFFLINE FAULT DETECTION IN GENE REGULATORY NETWORKS USING NEXT-GENERATION SEQUENCING DATA Seyede Fatemeh Ghoreishi; Texas A&M University Mahdi Imani; George Washington University TP8a4-7: ESTIMATING THREE-DIMENSIONAL KNEE POSITIONS AND ROTATIONS April McPherson; Mayo Clinic Christopher Felton; Mayo Clinic Barry Gilbert; Mayo Clinic Rena Hale; Mayo Clinic Nathan Schilaty; Mayo Clinic Timothy Hewett; Ohio State University David Holmes, III; Mayo Clinic Clifton Haider; Mayo Clinic TP8a4-8: FINITE-TIME BEHAVIOR OF K-MER FREQUENCIES AND WAITING TIMES IN NOISY-DUPLICATION SYSTEMS Hao Lou; University of Virginia Farzad Farnoud; University of Virginia TP8a4-9: COMPLETE FIX-FREE CODES FOR THE STATISTICAL DICTIONARY-BASED STRING MATCHING PROBLEM Meer Suri; National Chiao Tung University Stefano Rini; National Chiao Tung University </details> #### 15:30 - 17:35 * TP1b: Reliable and Low-Latency MIMO Communication (Invited) Nautilus <details> <summary> Details </summary> TP1b-1: ULTRA-RELIABLE LOW-LATENCY COMMUNICATIONS IN MASSIVE MIMO Alexandru-Sabin Bana; Aalborg University Luca Sanguinetti; University of Pisa Elisabeth de Carvalho; Aalborg University Petar Popovski; Aalborg University TP1b-2: SHORT-PACKET TRANSMISSION OVER A BIDIRECTIONAL MASSIVE MIMO LINK Yasaman Ettefagh; Chalmers University of Technology Johan Östman; Chalmers University of Technology Giuseppe Durisi; Chalmers University of Technology TP1b-3: LARGE APERTURE ANTENNA ARRAY DESIGN FOR CELLULAR MASSIVE MIMO Stefan Pratschner; Technische Universitaet Wien David Löschenbrand; AIT Austrian Institute of Technology GmbH Stefan Schwarz; Technische Universitaet Wien Thomas Zemen; AIT Austrian Institute of Technology GmbH Markus Rupp; Technische Universitaet Wien TP1b-4: ENHANCING RESOURCE EFFICIENCY OF UPLINK URLLC SYSTEMS VIA SHARED DIVERSITY TRANSMISSIONS AND MULTIPLE ANTENNA PROCESSING Radosław Kotaba; Intel Mobile Communications / Aalborg University Carles Navarro Manchón; Aalborg University Petar Popovski; Aalborg University </details> * TP2b: Signal Processing for UAV/UGV Sensing (Invited) Surf & Sand <details> <summary> Details </summary> TP2b-1: RADAR BEAM-PATTERN DESIGN FOR A DRONE SWARM Mohammad Alaee-Kerahroodi; SnT, University of Luxembourg Kumar Vijay Mishra; University of Iowa M. R. Bhavani Shankar; SnT, University of Luxembourg TP2b-2: A COMBINED WAVEFORM-BEAMFORMING DESIGN FOR MILLIMETER-WAVE JOINT COMMUNICATION-RADAR Preeti Kumari; University of Texas at Austin Nitin Jonathan Myers; University of Texas at Austin Sergiy Vorobyov; Aalto University Robert Heath; University of Texas at Austin TP2b-3: REMCW: REDUCED BANDWIDTH FMCW RADAR FOR AUTONOMOUS DRIVING Kumar Vijay Mishra; University of Iowa Zora Slavik; FZI Research Center for Information Technology Oliver Bringmann; Eberhard Karls University of Tuebingen TP2b-4: A REINFORCEMENT LEARNING APPROACH FOR MOBILE BEAMFORMING Anastasios Dimas; Rutgers, The State University of New Jersey Kostas Diamantaras; TEI of Thessaloniki Athina Petropulu; Rutgers, The State University of New Jersey TP2b-5: ROBUST SOURCE LOCALIZATION EXPLOITING COLLABORATIVE UAV NETWORK Shuimei Zhang; Temple University Ammar Ahmed; Temple University Yimin Zhang; Temple University </details> * TP3b: MIMO Beamforming and Beamtracking (Invited) Triton <details> <summary> Details </summary> TP3b-1: USER-EXPOSURE-CANCELLING BEAMFORMING FOR MULTI-ANTENNA SYSTEMS Miguel Castellanos; Purdue University Borja Peleato; Purdue University David Love; Purdue University TP3b-2: WIDEBAND MILLIMETER-WAVE BEAM TRAINING WITH TRUE-TIME-DELAY ARRAY ARCHITECTURE Han Yan; University of California, Los Angeles Veljko Boljanovic; University of California, Los Angeles Danijela Cabric; University of California, Los Angeles TP3b-3: JOINT POSITION, ORIENTATION AND CHANNEL ESTIMATION AND TRACKING FOR MILLIMETER WAVE CELLULAR SYSTEMS Wenqing Zheng; University of Texas at Austin Javier Rodriguez-Fernandez; University of Texas at Austin Nuria Gonzalez-Prelcic; University of Texas at Austin / University of Vigo TP3b-4: BEAMSPACE LOCAL BEAMFORMING FOR MMWAVE MASSIVE MIMO DOWNLINKS Mohammed Abdelghany; University of California, Santa Barbara Upamanyu Madhow; University of California, Santa Barbara Antti Tolli; University of Oulu TP3b-5: DEEP LEARNING FOR TDD AND FDD MASSIVE MIMO: MAPPING CHANNELS IN SPACE AND FREQUENCY Muhammad Alrabeiah; Arizona State University Ahmed Alkhateeb; Arizona State University </details> * TP4b: Machine Learning Advances in Computational Imaging (Invited) Heather <details> <summary> Details </summary> TP4b-1: LEARNING HOW TO INTERPOLATE FOURIER DATA WITH UNKNOWN AUTOREGRESSIVE STRUCTURE Tae Hyung Kim; University of Southern California Justin Haldar; University of Southern California TP4b-2: COMPUTATIONAL MICROSCOPY IN SCATTERING MEDIA Laura Waller; University of California, Berkeley TP4b-3: SCAN-SPECIFIC RESIDUAL CONVOLUTIONAL NEURAL NETWORKS FOR FAST MRI USING RESIDUAL RAKI Chi Zhang; University of Minnesota Seyed Amir Hossein Hosseini; University of Minnesota Steen Moeller; University of Minnesota Sebastian Weingartner; University of Minnesota Kamil Ugurbil; University of Minnesota Mehmet Akcakaya; University of Minnesota TP4b-4: DEEP LEARNING FOR MUSCULOSKELETAL IMAGE ANALYSIS Ismail Irmakci; Ege University Neslisah Torosdagli; National Institutes of Health Drew Torigian; University of Pennsylvania Syed M. Anwar; University of Central Florida Ulas Bagci; Ulas Bagci </details> * TP5b: Inference and Learning in Graphs Scripps <details> <summary> Details </summary> TP5b-1: OPINION DYNAMICS WITH RANDOM ACTIONS AND A STUBBORN AGENT Olle Abrahamsson; Linköping University Danyo Danev; Linköping University Erik G. Larsson; Linköping University TP5b-2: RANDOMIZED ASYNCHRONOUS RECURSIONS WITH A SINUSOIDAL INPUT Oguzhan Teke; California Institute of Technology P. P. Vaidyanathan; California Institute of Technology TP5b-3: DECENTRALIZED DYNAMIC ADMM WITH QUANTIZED AND CENSORED COMMUNICATIONS Yaohua Liu; University of Science and Technology of China Gang Wu; University of Science and Technology of China Zhi Tian; George Mason University Qing Ling; Sun Yat-Sen University TP5b-4: CAN PRIMAL-DUAL STRATEGIES OUTPERFORM PRIMAL STRATEGIES IN DECENTRALIZED DYNAMIC OPTIMIZATION? Wei Xu; University of Science and Technology of China Kun Yuan; University of California, Los Angeles Wotao Yin; University of California, Los Angeles Qing Ling; Sun Yat-Sen University TP5b-5: DISTRIBUTED SPECTRAL RADIUS ESTIMATION IN WIRELESS SENSOR NETWORKS Gowtham Muniraju; Arizona State University Cihan Tepedelenlioglu; Arizona State University Andreas Spanias; Arizona State University </details> * TP6b: AI/Machine Learning Architectures (Invited) Toyon <details> <summary> Details </summary> TP6b-1: RRAM-BASED IN-MEMORY COMPUTING FOR EMBEDDED DEEP NEURAL NETWORKS Daniel Bankman; Stanford University Boris Murmann; Stanford University TP6b-2: VESTI: AN IN-MEMORY COMPUTING PROCESSOR FOR DEEP NEURAL NETWORKS ACCELERATION Zhewei Jiang; Columbia University Shihui Yin; Arizona State University Minkyo Kim; Arizona State University Tushar Gupta; Arizona State University Mingoo Seok; Columbia University Jae-sun Seo; Arizona State University TP6b-3: RETHINKING THE VALUE OF DNN WEIGHT SPARSITY ON HARDWARE: IS IT TRULY BENE?CIAL? Yanzhi Wang; Northeastern University Deliang Fan; University of Central Florida TP6b-4: IS MY NEURAL NETWORK NEUROMORPHIC? Arindam Basu; Nanyang Technological University Jyotibdha Acharya; Nanyang Technological University Sumon Bose; Nanyang Technological University </details> * TP7b: Optimization Methods in Array Processing Acacia <details> <summary> Details </summary> TP7b-1: IMPACT OF SPATIAL CORRELATION IN MIMO RADAR Aya Mostafa Ahmed; Ruhr-Universität Bochum Aydin Sezgin; Ruhr-Universität Bochum Eduard A. Jorswieck; Technical University of Dresden TP7b-2: JOINT OPTIMIZATION OF WAVEFORM COVARIANCE MATRIX AND ANTENNA SELECTION FOR MIMO RADAR Arindam Bose; University of Illinois at Chicago Shahin Khobahi; University of Illinois at Chicago Mojtaba Soltanalian; University of Illinois at Chicago TP7b-3: PRACTICALLY CONSTRAINED WAVEFORM DESIGN FOR MIMO RADAR IN THE PRESENCE OF MULTIPLE TARGETS Xianxiang Yu; University of Electronic Science and Technology of China Khaled Alhujaili; Pennsylvania State University, University Park Guolong Cui; University of Electronic Science and Technology of China Vishal Monga; Pennsylvania State University, University Park TP7b-4: RFI MITIGATION FOR ONE-BIT UWB RADAR SYSTEMS Tianyi Zhang; University of Florida Jiaying Ren; University of Florida Christopher Gianelli; University of Florida Jian Li; University of Florida TP7b-5: RESOURCE MANAGEMENT FOR MULTIFUNCTION MULTICHANNEL COGNITIVE RADARS Mahdi Shaghaghi; Complementary AI Systems Corp. Raviraj S. Adve; University of Toronto Zhen Ding; Defence R&D Canada </details> * TP8b1: Architectures for Arithmetic and Signal Processing Systems Merrill <details> <summary> Details </summary> TP8b1-1: FPGA FABRIC CONSCIOUS DESIGN AND IMPLEMENTATION OF SPEED-AREA EFFICIENT SIGNED DIGIT ADD-SUBTRACT LOGIC THROUGH PRIMITIVE INSTANTIATION Ayan Palchaudhuri; Indian Institute of Technology, Kharagpur Anindya Sundar Dhar; Indian Institute of Technology, Kharagpur TP8b1-2: THE EFFECTS OF ARITHMETIC ROUNDOFF ERROR ON THE LEVY FIRE FLY ALGORITHM WHEN USED IN COUPLED FORM ADAPTIVE FILTER STRUCTURES Magni Hussain; Pennsylvania State University William Jenkins; Pennsylvania State University Chandraseckar Radhakrishnan; University of Illinois TP8b1-3: HARDWARE IMPLEMENTATION OF DISCRETE HIRSCHMAN TRANSFORM CONVOLUTION USING DISTRIBUTED ARITHMETIC Dingli Xue; Florida State University Linda DeBrunner; Florida State University Victor DeBrunner; Florida State University TP8b1-4: A PARAMETERIZED AND MINIMAL RESOURCE SOFT PROCESSOR FOR PROGRAMMABLE LOGIC Christopher Felton; Mayo Clinic Barry Gilbert; Mayo Clinic Clifton Haider; Mayo Clinic TP8b1-5: APPROXIMATED CANONICAL SIGNED DIGIT FOR ERROR RESILIENT INTELLIGENT COMPUTATION Gian Carlo Cardarilli; University of Rome Tor Vergata Luca Di Nunzio; University of Rome Tor Vergata Rocco Fazzolari; University of Rome Tor Vergata Alberto Nannarelli; Technical University of Denmark Marco Re; University of Rome Tor Vergata TP8b1-6: A COMMON RECURSIVE FORM FOR MULTIPLE FUNDAMENTAL ARITHMETIC OPERATORS AND ITS AUTOMATED SYNTHESIS Sébastien Roy; Université de Sherbrooke Frédéric Mailhot; Université de Sherbrooke TP8b1-7: LOW-POWER, ADAPTIVE DIGITAL PRE-DISTORTION LINEARIZATION OF ULTRA-WIDEBAND RF POWER AMPLIFIERS Scott Velazquez; Innovation Digital, LLC Yujia Wang; Innovation Digital, LLC </details> * TP8b2: Online and Active Learning and Adaptive and Cognitive Systems (Merrill) <details> <summary> Details </summary> TP8b2-1: AN ONLINE STOCHASTIC KERNEL MACHINE FOR ROBUST SIGNAL CLASSIFICATION Raghu Raj; US Naval Research Laboratory TP8b2-2: IMPACT OF DELAYS ON CONSTRAINED ONLINE CONVEX OPTIMIZATION Xuanyu Cao; University of Illinois at Urbana-Champaign Junshan Zhang; Arizona State University H. Vincent Poor; Princeton University TP8b2-3: AUTOMATED OPTIMAL ONLINE CIVIL ISSUE CLASSIFICATION USING MULTIPLE FEATURE SETS Imara Nazar; University at Albany, SUNY Yasitha Warahena Liyanage; University at Albany, SUNY Daphney-Stavroula Zois; University at Albany, SUNY Charalampos Chelmis; University at Albany, SUNY TP8b2-4: ACTIVE AND ADAPTIVE SEQUENTIAL LEARNING WITH PER TIME-STEP EXCESS RISK GUARANTEES Yuheng Bu; University of Illinois at Urbana Champaign JiaXun Lu; Tsinghua University Venugopal V. Veeravalli; University of Illinois at Urbana Champaign TP8b2-5: OPTIMAL ADAPTIVE SAMPLING FOR BOUNDARY ESTIMATION WITH MOBILE SENSORS Phillip Kearns; Portland State University John Lipor; Portland State University Bruno Jedynak; Portland State University TP8b2-6: ONLINE BOUNDED COMPONENT ANALYSIS: A SIMPLE RECURRENT NEURAL NETWORK WITH LOCAL UPDATE RULE FOR UNSUPERVISED SEPARATION OF DEPENDENT AND INDEPENDENT SOURCES Alper T. Erdogan; Koc University Berfin Simsek; EPFL TP8b2-7: REINFORCEMENT LEARNING FOR COGNITIVE RADAR TASK SCHEDULING Mohamed Gaafar; University of Toronto Mahdi Shaghaghi; ComplimentAI Raviraj Adve; University of Toronto Zhen Ding; Defence Research and Development Canada TP8b2-8: APPLICATION OF POMDPS TO COGNITIVE RADAR Charles Topliff; Georgia Institute of Technology William Melvin; Georgia Institute of Technology Douglas Williams; Georgia Institute of Technology TP8b2-9: END-TO-END LEARNING OF WAVEFORM GENERATION AND DETECTION FOR RADAR SYSTEMS Wei Jiang; New Jersey Institute of Technology Alexander Haimovich; New Jersey Institute of Technology Osvaldo Simeone; King's College London TP8b2-10: EXPLORATION VERSUS DATA REFINEMENT VIA MULTIPLE MOBILE SENSORS BASED ON EPISTEMIC UTILITY CONTROLLER Mohammad Shekaramiz; Utah State University Todd Moon; Utah State University Jacob Gunther; Utah State University </details> * TP8b3: Matrix and Tensor Methods Merrill <details> <summary> Details </summary> TP8b3-1: THE ROLE OF SUBSPACE ESTIMATION IN ARRAY SIGNAL PROCESSING Richard Vaccaro; University of Rhode Island TP8b3-2: TENSOR DATA CONFORMITY EVALUATION FOR INTERFERENCE-RESISTANT LOCALIZATION Konstantinos Tountas; Florida Atlantic University George Sklivanitis; Florida Atlantic University Dimitris A. Pados; Florida Atlantic University Michael J. Medley; US Air Force Research Laboratory TP8b3-3: AUTOCORRELATION COMPLEMENTARY MATRICES Yi Jiang; Fudan University Fengjie Li; Fudan University Xin Wang; Fudan University Jian Li; University of Florida TP8b3-4: ENHANCED CONVERGENT ALGORITHM FOR LP-NORM PRINCIPAL-COMPONENT ANALYSIS Dimitris Chachlakis; Rochester Institute of Technology Panos Markopoulos; Rochester Institute of Technology TP8b3-5: EFFICIENT COMPUTATION OF THE PARAFAC2 DECOMPOSITION Yao Cheng; Ilmenau University of Technology Martin Haardt; Ilmenau University of Technology TP8b3-6: COUPLED BLOCK-TERM TENSOR DECOMPOSITION BASED BLIND SPECTRUM CARTOGRAPHY Guoyong Zhang; Oregon State University; University of Electronic Science and Technology of China Xiao Fu; Oregon State University Jun Wang; University of Electronic Science and Technology of China Mingyi Hong; University of Minnesota TP8b3-7: ITERATIVE RE-WEIGHTED L1-PCA OF TENSOR DATA Konstantinos Tountas; Florida Atlantic University Dimitris Chachlakis; Rochester Institute of Technology Panos Markopoulos; Rochester Institute of Technology Dimitris Pados; Florida Atlantic University TP8b3-8: FAST SPARSE SUBSPACE TRACKING ALGORITHM BASED ON SHEAR AND GIVENS ROTATIONS Nacerredine Lassami; IMT Atlantique Bretagne-Pays de la Loire Abdeldjalil Aissa-El-Bey; IMT Atlantique Bretagne-Pays de la Loire Karim Abed-Meraim; Université d’Orléans </details> #### 17:35 - 23:00 Open Evening - Enjoy the Monterey Peninsula