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ORCIDBrian Jalaian
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- affiliation: Virginia Tech University, Blacksburg, USA
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2020 – today
- 2024
[c33]Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian:
A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. ICCCN 2024: 1-9- [i13]Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian:
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. CoRR abs/2406.00938 (2024) - 2023
- [j20]Shaoran Li
, Chengzhang Li, Yan Huang, Brian A. Jalaian, Y. Thomas Hou, Wenjing Lou:
Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty. IEEE J. Sel. Areas Commun. 41(3): 659-674 (2023) - [j19]Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro:
Reducing classifier overconfidence against adversaries through graph algorithms. Mach. Learn. 112(7): 2619-2651 (2023) - [j18]Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian:
Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. Mach. Learn. 112(8): 2791-2819 (2023) - [j17]Shaoran Li, Yan Huang, Chengzhang Li, Y. Thomas Hou, Wenjing Lou, Brian A. Jalaian, Stephen Russell:
Achieving Real-Time Spectrum Sharing in 5G Underlay Coexistence With Channel Uncertainty. IEEE Trans. Mob. Comput. 22(4): 1922-1937 (2023) - [j16]Yongce Chen, Shaoran Li, Chengzhang Li, Huacheng Zeng, Brian Jalaian, Y. Thomas Hou, Wenjing Lou:
On DoF Conservation in MIMO Interference Cancellation Based on Signal Strength in the Eigenspace. IEEE Trans. Mob. Comput. 22(5): 2862-2877 (2023) - [c32]Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman Samani:
Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation. CVIPPR 2023: 7 - [c31]Brian Jalaian, Nathaniel D. Bastian:
Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning. MILCOM 2023: 268-273 - [e1]Kristen Brent Venable, Daniel Garijo, Brian Jalaian:
Proceedings of the 12th Knowledge Capture Conference 2023, K-CAP 2023, Pensacola, FL, USA, December 5-7, 2023. ACM 2023 [contents] - [i12]Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman Samani:
Enhancing object detection robustness: A synthetic and natural perturbation approach. CoRR abs/2304.10622 (2023) - 2022
- [j15]Shaoran Li, Y. Thomas Hou, Wenjing Lou, Brian Jalaian, Stephen Russell:
Maximizing Energy Efficiency With Channel Uncertainty Under Mutual Interference. IEEE Trans. Wirel. Commun. 21(10): 8476-8488 (2022) - [c30]Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek F. Abdelzaher, Brian Jalaian:
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. MILCOM 2022: 1082-1087 - [c29]Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin:
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. MLSys 2022 - [c28]Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. WWW 2022: 1259-1269 - [i11]Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin:
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning. CoRR abs/2202.03770 (2022) - 2021
- [j14]Chengzhang Li, Yan Huang, Shaoran Li, Yongce Chen, Brian Jalaeian, Y. Thomas Hou, Wenjing Lou, Jeffrey H. Reed, Sastry Kompella:
Minimizing AoI in a 5G-Based IoT Network Under Varying Channel Conditions. IEEE Internet Things J. 8(19): 14543-14558 (2021) - [j13]Shaoran Li, Yan Huang, Chengzhang Li, Brian Jalaian, Y. Thomas Hou, Wenjing Lou, Stephen Russell:
Maximize Spectrum Efficiency in Underlay Coexistence With Channel Uncertainty. IEEE/ACM Trans. Netw. 29(2): 764-778 (2021) - [c27]Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian:
Improving Differential Evolution through Bayesian Hyperparameter Optimization. CEC 2021: 832-840 - [c26]Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. CIKM 2021: 392-401 - [c25]Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri:
Fountain Coding for Information Protection in Tactical Networks. ICMCIS 2021: 1-8 - [c24]Shaoran Li, Chengzhang Li, Yan Huang, Brian Jalaian, Y. Thomas Hou, Wenjing Lou:
Task Offloading with Uncertain Processing Cycles. MobiHoc 2021: 51-60 - [c23]Adam D. Cobb, Brian Jalaian:
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting. UAI 2021: 675-685 - [c22]Adam D. Cobb, Brian Jalaian, Nathaniel D. Bastian, Stephen Russell:
Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks. WSC 2021: 1-12 - [i10]Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li:
Graph Neural Networks with Adaptive Frequency Response Filter. CoRR abs/2104.12840 (2021) - [i9]Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian:
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo. CoRR abs/2107.07211 (2021) - [i8]Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li:
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. CoRR abs/2108.05233 (2021) - 2020
- [j12]Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri:
Exploring Performance Trade-offs in Tactical Edge Networks. IEEE Commun. Mag. 58(8): 28-33 (2020) - [c21]Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela F. Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance M. Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani B. Srivastava, Theron Trout, Meet P. Vadera, Maggie B. Wigness:
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI 2020: 82-91 - [c20]Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin:
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. UAI 2020: 719-728 - [i7]Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin:
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. CoRR abs/2002.02842 (2020) - [i6]Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin:
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. CoRR abs/2005.08110 (2020) - [i5]Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin:
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. CoRR abs/2007.04466 (2020) - [i4]Adam D. Cobb, Brian Jalaian:
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting. CoRR abs/2010.06772 (2020) - [i3]Subhodip Biswas, Adam D. Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian:
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. CoRR abs/2012.06453 (2020)
2010 – 2019
- 2019
- [j11]Brian Jalaian, Stephen Russell:
Uncertain Context: Uncertainty Quantification in Machine Learning. AI Mag. 40(4): 40-49 (2019) - [j10]Yan Huang, Brian Jalaian, Stephen Russell, Hooman Samani:
Reaping the Benefits of Dynamic TDD in Massive MIMO. IEEE Syst. J. 13(1): 117-124 (2019) - [c19]Yu-Wei Kao, Hooman Samani, Shu-Chiao Tsai, Brian Jalaian, Niranjan Suri, Mike Lee:
Intelligent Search, Rescue, and Disaster Recovery via Internet of Things. GIoTS 2019: 1-7 - [c18]Shaoran Li, Yan Huang, Chengzhang Li, Brian Jalaian, Stephen Russell, Y. Thomas Hou, Wenjing Lou, Benjamin MacCall:
A Real-Time Solution for Underlay Coexistence with Channel Uncertainty. GLOBECOM 2019: 1-6 - [c17]Chengzhang Li, Yan Huang, Yongce Chen, Brian Jalaian, Y. Thomas Hou, Wenjing Lou:
Kronos: A 5G Scheduler for AoI Minimization Under Dynamic Channel Conditions. ICDCS 2019: 1466-1475 - [c16]Yongce Chen, Shaoran Li, Chengzhang Li, Y. Thomas Hou, Brian Jalaian:
To Cancel or Not to Cancel: Exploiting Interference Signal Strength in the Eigenspace for Efficient MIMO DoF Utilization. INFOCOM 2019: 1954-1962 - [c15]Shaoran Li, Y. Thomas Hou, Wenjing Lou, Brian Jalaian, Stephen Russell, Benjamin MacCall:
Optimal Power Control with Channel Uncertainty in Ad Hoc Networks. MILCOM 2019: 652-657 - [c14]Joseph Noor, Ahmed Ali-Eldin, Luis Garcia, Chirag Rao, Venkat R. Dasari, Deepak Ganesan, Brian Jalaian, Prashant J. Shenoy, Mani B. Srivastava:
The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability. MILCOM 2019: 821-826 - [c13]Shaoran Li, Yan Huang, Chengzhang Li, Brian Jalaian, Y. Thomas Hou, Wenjing Lou:
Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation. MobiHoc 2019: 71-80 - [c12]Susmit Jha, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha, Somesh Jha, Brian Jalaian, Gunjan Verma, Ananthram Swami:
Attribution-Based Confidence Metric For Deep Neural Networks. NeurIPS 2019: 11826-11837 - [i2]Susmit Jha, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha, Somesh Jha, Gunjan Verma, Brian Jalaian, Ananthram Swami:
Attribution-driven Causal Analysis for Detection of Adversarial Examples. CoRR abs/1903.05821 (2019) - [i1]Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro:
Are Graph Neural Networks Miscalibrated? CoRR abs/1905.02296 (2019) - 2018
- [j9]Borhan (Brian) Jalaeian, Xu Yuan, Yi Shi, Y. Thomas Hou, Wenjing Lou, Scott F. Midkiff, Venkat R. Dasari:
On the integration of SIC and MIMO DoF for interference cancellation in wireless networks. Wirel. Networks 24(7): 2357-2374 (2018) - [c11]Ira S. Moskowitz, Stephen Russell, Brian Jalaian:
Steganographic Internet of Things: Graph Topology Timing Channels. AAAI Workshops 2018: 252-259 - [c10]Brian Jalaian, Alec Koppel, Andre V. Harrison, James Michaelis, Stephen Russell:
On Stream-Centric Learning for Internet of Battlefield Things. AAAI Spring Symposia 2018 - [c9]Shu-Chiao Tsai, Hooman Samani, Yu-Wei Kao, Kening Zhu, Brian Jalaian:
Design and Development of Interactive Intelligent Medical Agent. AIVR 2018: 210-215 - [c8]Susmit Jha, Uyeong Jang, Somesh Jha, Brian Jalaian:
Detecting Adversarial Examples Using Data Manifolds. MILCOM 2018: 547-552 - [c7]Torkjel Søndrol, Brian Jalaian, Niranjan Suri:
Investigating LoRa for the Internet of Battlefield Things: A Cyber Perspective. MILCOM 2018: 749-756 - [c6]Brian Jalaian, Timothy Gregory, Niranjan Suri, Stephen Russell, Laurel Sadler, Michael Lee:
Evaluating LoRaWAN-based IoT devices for the tactical military environment. WF-IoT 2018: 124-128 - 2017
- [j8]Xiaoqi Qin, Huacheng Zeng, Xu Yuan, Brian Jalaian, Y. Thomas Hou, Wenjing Lou, Scott F. Midkiff:
Impact of Full Duplex Scheduling on End-to-End Throughput in Multi-Hop Wireless Networks. IEEE Trans. Mob. Comput. 16(1): 158-171 (2017) - [c5]Brian Jalaian, Venkat R. Dasari, Mehul Motani:
A generalized optimization framework for control plane in tactical wireless networking. ICNC 2017: 986-990 - [c4]Roberto Fronteddu, Alessandro Morelli, Enrico Casini, Niranjan Suri, Brian Jalaian, Laurel Sadler:
A content and context-aware solution for network state exchange in tactical networks. MILCOM 2017: 430-435 - 2016
- [b1]Brian Jalaian:
On Programmable Control and Optimization for Multi-Hop Wireless Networks. Virginia Tech, Blacksburg, VA, USA, 2016 - [j7]Borhan (Brian) Jalaeian, Rongbo Zhu, Hooman Samani, Mehul Motani:
An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model. IEEE Syst. J. 10(1): 293-301 (2016) - [j6]Xu Yuan, Xiaoqi Qin, Feng Tian, Brian Jalaian, Yi Shi, Y. Thomas Hou, Wenjing Lou, Wade Trappe:
An Online Admission Control Algorithm for Dynamic Traffic in Underlay Coexistence Paradigm. IEEE Trans. Cogn. Commun. Netw. 2(4): 411-426 (2016) - [c3]Brian Jalaian, Venkat R. Dasari, Y. Thomas Hou:
Modeling and optimization for programmable unified control plane in heterogeneous wireless networks. Sarnoff Symposium 2016: 37-42 - 2015
- [j5]Rongbo Zhu, Xue Zhang, Xiaozhu Liu, Wanneng Shu, Tengyue Mao, Brian Jalaian:
ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT. IEEE Access 3: 2366-2378 (2015) - [j4]Xue Zhang, Xiaozhu Liu, Hooman Samani, Brian Jalaian:
Cooperative Spectrum Sensing in Cognitive Wireless Sensor Networks. Int. J. Distributed Sens. Networks 11: 170695:1-170695:15 (2015) - [j3]Xiaozhu Liu, Rongbo Zhu, Brian Jalaian, Yongli Sun:
Dynamic Spectrum Access Algorithm Based on Game Theory in Cognitive Radio Networks. Mob. Networks Appl. 20(6): 817-827 (2015) - [j2]Borhan (Brian) Jalaeian, Rongbo Zhu, Mehul Motani:
An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks. Telecommun. Syst. 60(1): 169-177 (2015) - [c2]Hooman Aghaebrahimi Samani, Elham Saadatian, Brian Jalaeian:
Biologically Inspired Artificial Endocrine System for Human Computer Interaction. HCI (1) 2015: 71-81 - [c1]Brian Jalaeian, Yi Shi, Xu Yuan, Yiwei Thomas Hou, Wenjing Lou, Scott F. Midkiff:
Harmonizing SIC and MIMO DoF Interference Cancellation for Efficient Network-Wide Resource Allocation. MASS 2015: 316-323 - 2014
- [j1]Kening Zhu, Rongbo Zhu, Hideaki Nii, Hooman Samani, Borhan (Brian) Jalaeian:
PaperIO: A 3D Interface towards the Internet of Embedded Paper-Craft. IEICE Trans. Inf. Syst. 97-D(10): 2597-2605 (2014)
Coauthor Index
aka: Yiwei Thomas Hou
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