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2020 – today
- 2023
[j118]Edwin Vargas
, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello:
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems. IEEE J. Sel. Areas Inf. Theory 4: 75-93 (2023)- [j117]Kumar Vijay Mishra, Sunder Ram Krishnan, Brian M. Sadler:
Constellation Design With Hypercube Graphs. IEEE Signal Process. Lett. 30: 1152-1156 (2023) - [c121]Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI 2023: 6980-6988 - [c120]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization. FUSION 2023: 1-8 - [c119]Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler:
Unique Bispectrum Inversion for Signals with Finite Spectral/Temporal Support. ICASSP 2023: 1-5 - [c118]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. ICASSP 2023: 1-5 - [c117]Wesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha:
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. ICML 2023: 33240-33267 - [i49]Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha:
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. CoRR abs/2301.12083 (2023) - [i48]Roman Jacome, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization. CoRR abs/2303.13609 (2023) - [i47]Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha:
Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation. CoRR abs/2306.06192 (2023) - [i46]Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
Octonion Phase Retrieval. CoRR abs/2308.15784 (2023) - [i45]Roman Jacome, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
Factor Graph Processing for Dual-Blind Deconvolution at ISAC Receiver. CoRR abs/2310.14167 (2023) - [i44]Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
An Invitation to Hypercomplex Phase Retrieval: Theory and Applications. CoRR abs/2310.17660 (2023) - 2022
- [j116]Eric Muhati, Danda B. Rawat, Brian M. Sadler:
A New Cyber-Alliance of Artificial Intelligence, Internet of Things, Blockchain, and Edge Computing. IEEE Internet Things Mag. 5(1): 104-107 (2022) - [j115]Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler:
Distributed Learning With Sparsified Gradient Differences. IEEE J. Sel. Top. Signal Process. 16(3): 585-600 (2022) - [j114]Jeffrey N. Twigg, Fikadu T. Dagefu, Nikhil Chopra, Brian M. Sadler:
Robotic Parasitic Array Control for Increased RSS in Non-Line-of-Sight. IEEE Robotics Autom. Lett. 7(4): 9167-9174 (2022) - [j113]Yagiz Savas, Erfaun Noorani, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler:
Collaborative one-shot beamforming under localization errors: A discrete optimization approach. Signal Process. 200: 108647 (2022) - [j112]Atul Rawal, James McCoy, Danda B. Rawat, Brian M. Sadler, Robert St. Amant:
Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives. IEEE Trans. Artif. Intell. 3(6): 852-866 (2022) - [j111]Amanda Prorok, Vijay Kumar, Brian M. Sadler, Gaurav S. Sukhatme:
Introduction to the Special Section on Resilience in Networked Robotic Systems. IEEE Trans. Robotics 38(1): 2-4 (2022) - [j110]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 8: 12-24 (2022) - [j109]Yicheng Chen, Rick S. Blum, Brian M. Sadler:
Communication-Efficient Federated Learning Using Censored Heavy Ball Descent. IEEE Trans. Signal Inf. Process. over Networks 8: 983-996 (2022) - [c116]Yicheng Chen, Rick S. Blum, Brian M. Sadler:
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting. CISS 2022: 96-100 - [c115]DeMarcus Edwards, Danda B. Rawat, Brian M. Sadler:
Adversarial Promotion for Video based Recommender Systems. CogMI 2022: 134-138 - [c114]Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su:
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. CVPR 2022: 15461-15470 - [c113]Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello:
Joint Radar-Communications Processing from A Dual-Blind Deconvolution Perspective. ICASSP 2022: 5622-5626 - [c112]Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel:
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. ICML 2022: 1716-1731 - [c111]DeMarcus Edwards, Danda B. Rawat, Brian M. Sadler:
Study of Adversarial Machine Learning for Enhancing Human Action Classification. IRI 2022: 75-80 - [c110]Felix O. Olowononi, Danda B. Rawat, Charles A. Kamhoua, Brian M. Sadler:
Deep Reinforcement Learning for Deception in IRS-assisted UAV Communications. MILCOM 2022: 763-768 - [c109]Roman Jacome, Kumar Vijay Mishra, Edwin Vargas, Brian M. Sadler, Henry Arguello:
Multi-Dimensional Dual-Blind Deconvolution Approach Toward Joint Radar-Communications. SPAWC 2022: 1-5 - [i43]Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
Phase Retrieval for Radar Waveform Design. CoRR abs/2201.11384 (2022) - [i42]Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel:
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. CoRR abs/2201.12332 (2022) - [i41]Yicheng Chen, Rick S. Blum, Martin Takác, Brian M. Sadler:
Distributed Learning With Sparsified Gradient Differences. CoRR abs/2202.02491 (2022) - [i40]Yicheng Chen, Rick S. Blum, Brian M. Sadler:
Communication Efficient Federated Learning via Ordered ADMM in a Fully Decentralized Setting. CoRR abs/2202.02580 (2022) - [i39]Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su:
One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. CoRR abs/2202.07028 (2022) - [i38]Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha:
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. CoRR abs/2206.01162 (2022) - [i37]Yagiz Savas, Mustafa O. Karabag, Brian M. Sadler, Ufuk Topcu:
Deceptive Planning for Resource Allocation. CoRR abs/2206.01306 (2022) - [i36]Roman Jacome, Kumar Vijay Mishra, Edwin Vargas, Brian M. Sadler, Henry Arguello:
Multi-dimensional dual-blind deconvolution approach toward joint radar-communications. CoRR abs/2206.05166 (2022) - [i35]Amrit Singh Bedi, Chen Fan, Alec Koppel, Anit Kumar Sahu, Brian M. Sadler, Furong Huang, Dinesh Manocha:
FedBC: Calibrating Global and Local Models via Federated Learning Beyond Consensus. CoRR abs/2206.10815 (2022) - [i34]Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello:
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems. CoRR abs/2208.04381 (2022) - [i33]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory. CoRR abs/2208.08583 (2022) - [i32]Yicheng Chen, Rick S. Blum, Brian M. Sadler:
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent. CoRR abs/2209.11944 (2022) - [i31]Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Identifying Coordination in a Cognitive Radar Network - A Multi-Objective Inverse Reinforcement Learning Approach. CoRR abs/2211.06967 (2022) - [i30]Jonathan Monsalve, Edwin Vargas, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications. CoRR abs/2211.09253 (2022) - [i29]Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su:
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. CoRR abs/2212.04088 (2022) - 2021
- [j108]Ishmam Zabir, Ahmed Maksud, Gaojie Chen, Brian M. Sadler, Yingbo Hua:
Secrecy of Multi-Antenna Transmission With Full-Duplex User in the Presence of Randomly Located Eavesdroppers. IEEE Trans. Inf. Forensics Secur. 16: 2060-2075 (2021) - [j107]Jake Bailey Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum:
Artificial Noise-Aided MIMO Physical Layer Authentication With Imperfect CSI. IEEE Trans. Inf. Forensics Secur. 16: 2173-2185 (2021) - [j106]Leiming Zhang, Brian M. Sadler, Rick S. Blum, Subhrajit Bhattacharya:
Inter-Cluster Transmission Control Using Graph Modal Barriers. IEEE Trans. Signal Inf. Process. over Networks 7: 275-293 (2021) - [j105]Yicheng Chen, Rick S. Blum, Brian M. Sadler:
Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model. IEEE Trans. Signal Process. 69: 4710-4723 (2021) - [j104]Alec Koppel, Amrit Singh Bedi, Brian M. Sadler, Víctor Elvira:
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling. IEEE Trans. Signal Process. 69: 6401-6415 (2021) - [j103]Justin Kong, Fikadu T. Dagefu, Brian M. Sadler:
Multi-Group Distributed Nullforming and Sectorized Jamming. IEEE Trans. Veh. Technol. 70(9): 9572-9576 (2021) - [c108]Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler:
Collaborative Beamforming for Agents with Localization Errors. ACSCC 2021: 204-208 - [c107]Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler:
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns. ACSCC 2021: 876-880 - [c106]Yagiz Savas, Abolfazl Hashemi, Abraham P. Vinod, Brian M. Sadler, Ufuk Topcu:
Physical-Layer Security via Distributed Beamforming in the Presence of Adversaries with Unknown Locations. ICASSP 2021: 4685-4689 - [c105]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms. ICASSP 2021: 4900-4904 - [c104]Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello:
Banraw: Band-Limited Radar Waveform Design Via Phase Retrieval. ICASSP 2021: 5449-5453 - [c103]John A. Hodge, Kumar Vijay Mishra, Brian M. Sadler, Amir I. Zaghloul:
Performance Analysis of Spatial and Frequency Domain Index-Modulated Reconfigurable Intelligent Metasurfaces. ICASSP 2021: 8077-8081 - [c102]Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler:
WaveMax: FrFT-Based Convex Phase Retrieval for Radar Waveform Design. ISIT 2021: 2387-2392 - [c101]Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su:
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. WWW 2021: 3477-3488 - [i28]Zhan Gao, Subhrajit Bhattacharya, Leiming Zhang, Rick S. Blum, Alejandro Ribeiro, Brian M. Sadler:
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping. CoRR abs/2106.02892 (2021) - [i27]Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks. CoRR abs/2106.13358 (2021) - [i26]Amanda Prorok, Matthew Malencia, Luca Carlone, Gaurav S. Sukhatme, Brian M. Sadler, Vijay Kumar:
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems. CoRR abs/2109.12343 (2021) - [i25]Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello:
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective. CoRR abs/2111.06304 (2021) - [i24]Samuel Pinilla, Kumar Vijay Mishra, Brian M. Sadler:
Non-Convex Recovery from Phaseless Low-Resolution Blind Deconvolution Measurements using Noisy Masked Patterns. CoRR abs/2111.13670 (2021) - 2020
- [j102]Justin Kong, Fikadu T. Dagefu, Brian M. Sadler:
Coverage Analysis of Distributed Beamforming With Random Phase Offsets Using Ginibre Point Process. IEEE Access 8: 134351-134362 (2020) - [j101]Jeffrey N. Twigg, Nikhil Chopra, Brian M. Sadler:
Communication Maintenance of Robotic Parasitic Antenna Arrays. IEEE Robotics Autom. Lett. 5(4): 6475-6482 (2020) - [j100]Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler:
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. IEEE Signal Process. Mag. 37(3): 61-70 (2020) - [j99]Justin Kong, Fikadu T. Dagefu, Brian M. Sadler:
Distributed Beamforming in the Presence of Adversaries. IEEE Trans. Veh. Technol. 69(9): 9682-9696 (2020) - [c100]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler:
Trading Dynamic Regret for Model Complexity in Nonstationary Nonparametric Optimization. ACC 2020: 321-326 - [c99]Richard J. Kozick, Fikadu T. Dagefu, Brian M. Sadler:
Two-Element Biomimetic Antenna Array Design and Performance. ICASSP 2020: 4747-4751 - [c98]Daigo Shishika, Douglas G. Macharet, Brian M. Sadler, Vijay Kumar:
Game Theoretic Formation Design for Probabilistic Barrier Coverage. IROS 2020: 11703-11709 - [c97]Yicheng Chen, Rick S. Blum, Brian M. Sadler:
Optimal Quickest Change Detection in Sensor Networks Using Ordered Transmissions. SPAWC 2020: 1-5 - [c96]Yicheng Chen, Brian M. Sadler, Rick S. Blum:
Ordered Gradient Approach for Communication-Efficient Distributed Learning. SPAWC 2020: 1-5 - [c95]Justin Kong, Fikadu T. Dagefu, Brian M. Sadler:
Simultaneous Beamforming and Nullforming for Covert Wireless Communications. VTC Spring 2020: 1-6 - [c94]Justin Kong, Fikadu T. Dagefu, Brian M. Sadler:
Performance Analysis of Distributed Beamforming With Random Phase Offsets. WCNC 2020: 1-6 - [i23]Ting-Kuei Hu, Fernando Gama, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler:
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms. CoRR abs/2002.02308 (2020) - [i22]Erfaun Noorani, Yagiz Savas, Alec Koppel, John S. Baras, Ufuk Topcu, Brian M. Sadler:
Distributed Beamforming for Agents with Localization Errors. CoRR abs/2003.12637 (2020) - [i21]Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave:
Deep Multimodal Transfer-Learned Regression in Data-Poor Domains. CoRR abs/2006.09310 (2020) - [i20]Leiming Zhang, Brian M. Sadler, Rick S. Blum, Subhrajit Bhattacharya:
Inter-cluster Transmission Control Using Graph Modal Barriers. CoRR abs/2010.04790 (2020) - [i19]Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su:
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. CoRR abs/2011.07743 (2020) - [i18]Ishmam Zabir, Ahmed Maksud, Gaojie Chen, Brian M. Sadler, Yingbo Hua:
Secrecy of Multi-Antenna Transmission with Full-Duplex User in the Presence of Randomly Located Eavesdroppers. CoRR abs/2012.09952 (2020)
2010 – 2019
- 2019
- [j98]Amanda Prorok, Brian M. Sadler, Magnus Egerstedt, Vijay Kumar:
Guest Editorial: Special section on "Foundations of resilience for networked robotic systems". Auton. Robots 43(3): 741 (2019) - [j97]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler:
Decentralized Dictionary Learning Over Time-Varying Digraphs. J. Mach. Learn. Res. 20: 139:1-139:62 (2019) - [j96]Thomas A. Baran, Gene Frantz, Fernando A. Mujica, Mariappan S. Nadar, Brian M. Sadler, Yonina C. Eldar, Martin Haardt, Peter Willett:
An Industry and Government Perspective on Challenges and Open Problems in Signal Processing [SP Forum]. IEEE Signal Process. Mag. 36(2): 125-131 (2019) - [j95]Yicheng Chen, Rick S. Blum, Brian M. Sadler, Jiangfan Zhang:
Testing the Structure of a Gaussian Graphical Model With Reduced Transmissions in a Distributed Setting. IEEE Trans. Signal Process. 67(20): 5391-5401 (2019) - [c93]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. AAAI 2019: 249-256 - [c92]Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. AAAI 2019: 2547-2554 - [c91]Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Víctor Elvira:
Compressed Streaming Importance Sampling for Efficient Representations of Localization Distributions. ACSSC 2019: 477-481 - [c90]Miguel Calvo-Fullana, Fikadu T. Dagefu, Brian M. Sadler, Alejandro Ribeiro:
Multi-mode Autonomous Communication Systems. ACSSC 2019: 1005-1009 - [c89]Jake Bailey Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum:
Physical Layer Authentication via Fingerprint Embedding: Min-Entropy Analysis : Invited Presentation. CISS 2019: 1-6 - [c88]Batu K. Chalise, Brian M. Sadler:
Joint Data and Tag Precoder Optimization for MIMO Physical Layer Authentication with Embedded Fingerprinting. CNS 2019: 1-5 - [c87]Jake Bailey Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum:
Fingerprint Embedding Authentication with Artificial Noise: MISO Regime. CNS 2019: 1-5 - [c86]Ishmam Zabir, Ahmed Maksud, Brian M. Sadler, Yingbo Hua:
Secure Downlink Transmission to Full-Duplex User against Randomly Located Eavesdroppers. GLOBECOM 2019: 1-6 - [c85]Jeffrey N. Twigg, Fikadu T. Dagefu, Nikhil Chopra, Brian M. Sadler:
Robotic Parasitic Array Optimization in Outdoor Environments. SSRR 2019: 1-8 - [c84]Justin Kong, Fikadu T. Dagefu, Brian M. Sadler:
Distributed Adaptive Beamforming and Nullforming for Covert Wireless Communications. VTC Fall 2019: 1-6 - [i17]Amrit Singh Bedi, Alec Koppel, Ketan Rajawat, Brian M. Sadler:
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony. CoRR abs/1909.05442 (2019) - [i16]Alec Koppel, Amrit Singh Bedi, Victor Elvira, Brian M. Sadler:
Approximate Shannon Sampling in Importance Sampling: Nearly Consistent Finite Particle Estimates. CoRR abs/1909.10279 (2019) - [i15]Alec Koppel, Amrit Singh Bedi, Ketan Rajawat, Brian M. Sadler:
Optimally Compressed Nonparametric Online Learning. CoRR abs/1909.11555 (2019) - [i14]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. CoRR abs/1910.08194 (2019) - 2018
- [j94]Jake B. Perazzone, Paul L. Yu, Brian M. Sadler, Rick S. Blum:
Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding. IEEE Trans. Inf. Forensics Secur. 13(9): 2216-2225 (2018) - [j93]Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III:
Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. IEEE Trans. Inf. Theory 64(2): 1105-1131 (2018) - [j92]Gunjan Verma, Fikadu T. Dagefu, Brian M. Sadler, Jeffrey N. Twigg:
Direction of Arrival Estimation With the Received Signal Strength Gradient. IEEE Trans. Veh. Technol. 67(11): 10856-10870 (2018) - [c83]Yicheng Chen, Brian M. Sadler, Rick S. Blum:
Ordered Transmission for Efficient Wireless Autonomy. ACSSC 2018: 1299-1303 - [c82]Addison W. Bohannon, Brian M. Sadler, Radu V. Balan:
Learning Flexible Representations of Stochastic Processes on Graphs. DSW 2018: 61-65 - [c81]Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III:
Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. ICASSP 2018: 4424-4428 - [c80]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. KDD 2018: 2180-2189 - [c79]Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. KDD 2018: 2701-2709 - [c78]Chirag Rao, Fikadu T. Dagefu, Gunjan Verma, Predrag Spasojevic, Brian M. Sadler:
Scalable Sporadic Medium Access for Complex Propagation Environments. PIMRC 2018: 1-7 - [c77]Gunjan Verma, Fikadu T. Dagefu, Brian M. Sadler, Jeffrey N. Twigg, Jonathan Fink:
DOA Estimation for Autonomous Systems in Complex Propagation Environments. SPAWC 2018: 1-5 - [i13]Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler:
Decentralized Dictionary Learning Over Time-Varying Digraphs. CoRR abs/1808.05933 (2018) - [i12]Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. CoRR abs/1808.06740 (2018) - [i11]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. CoRR abs/1811.07032 (2018) - [i10]Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. CoRR abs/1812.09551 (2018) - 2017
- [j91]Jihun Choi, Fikadu T. Dagefu, Brian M. Sadler, Kamal Sarabandi:
Low-Power Low-VHF Ad-Hoc Networking in Complex Environments. IEEE Access 5: 24120-24127 (2017) - [j90]Xiaoran Yan, Brian M. Sadler, Robert J. Drost, Paul L. Yu, Kristina Lerman:
Graph Filters and the Z-Laplacian. IEEE J. Sel. Top. Signal Process. 11(6): 774-784 (2017) - [j89]Jun Zhou, Amir Tofighi Zavareh, Robin Gupta, Liang Liu, Zhongfeng Wang, Brian M. Sadler, José Silva-Martínez, Sebastian Hoyos:
Compressed Level Crossing Sampling for Ultra-Low Power IoT Devices. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(9): 2495-2507 (2017) - [j88]Maggie X. Cheng, Yi Ling, Brian M. Sadler:
Network connectivity assessment and improvement through relay node deployment. Theor. Comput. Sci. 660: 86-101 (2017) - [j87]