Brian Jalaian

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 53

Top Topics

Bayesian Learning

Frequency Response

Top Venues

IEEE Trans. Mob. Comput.

Publications

Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. CoRR (2024)
Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman Samani
Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation. CVIPPR (2023)
Brian Jalaian, Nathaniel D. Bastian
Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning. MILCOM (2023)
Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
Reducing classifier overconfidence against adversaries through graph algorithms. Mach. Learn. 112 (7) (2023)
Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian
Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. Mach. Learn. 112 (8) (2023)
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) (2023)
Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman Samani
Enhancing object detection robustness: A synthetic and natural perturbation approach. CoRR (2023)
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)
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) (2022)
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 (2022)
Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. WWW (2022)
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)
Shaoran Li, Chengzhang Li, Yan Huang, Brian Jalaian, Y. Thomas Hou, Wenjing Lou
Task Offloading with Uncertain Processing Cycles. MobiHoc (2021)
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) (2021)
Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian
Improving Differential Evolution through Bayesian Hyperparameter Optimization. CEC (2021)
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
Graph Neural Networks with Adaptive Frequency Response Filter. CoRR (2021)
Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. CoRR (2021)
Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri
Fountain Coding for Information Protection in Tactical Networks. ICMCIS (2021)
Adam D. Cobb, Brian Jalaian
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting. UAI (2021)
Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. CIKM (2021)
Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo. CoRR (2021)
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)
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 (2020)
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. UAI (2020)
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. CoRR (2020)
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)
Adam D. Cobb, Brian Jalaian
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting. CoRR (2020)
Subhodip Biswas, Adam D. Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. CoRR (2020)
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. CoRR (2020)
Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri
Exploring Performance Trade-offs in Tactical Edge Networks. IEEE Commun. Mag. 58 (8) (2020)
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 (2019)
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)
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)
Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
Are Graph Neural Networks Miscalibrated? CoRR (2019)
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)
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)
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)
Brian Jalaian, Stephen Russell
Uncertain Context: Uncertainty Quantification in Machine Learning. AI Mag. 40 (4) (2019)
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)
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)
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)
Yan Huang, Brian Jalaian, Stephen Russell, Hooman Samani
Reaping the Benefits of Dynamic TDD in Massive MIMO. IEEE Syst. J. 13 (1) (2019)
Torkjel Søndrol, Brian Jalaian, Niranjan Suri
Investigating LoRa for the Internet of Battlefield Things: A Cyber Perspective. MILCOM (2018)
Brian Jalaian, Alec Koppel, Andre Harrison, James Michaelis, Stephen Russell
On Stream-Centric Learning for Internet of Battlefield Things. AAAI Spring Symposia (2018)
Susmit Jha, Uyeong Jang, Somesh Jha, Brian Jalaian
Detecting Adversarial Examples Using Data Manifolds. MILCOM (2018)
Shu-Chiao Tsai, Hooman Samani, Yu-Wei Kao, Kening Zhu, Brian Jalaian
Design and Development of Interactive Intelligent Medical Agent. AIVR (2018)
Ira S. Moskowitz, Stephen Russell, Brian Jalaian
Steganographic Internet of Things: Graph Topology Timing Channels. AAAI Workshops (2018)
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)
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) (2017)
Brian Jalaian, Venkat R. Dasari, Mehul Motani
A generalized optimization framework for control plane in tactical wireless networking. ICNC (2017)
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)
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) (2016)
Brian Jalaian, Venkat R. Dasari, Y. Thomas Hou
Modeling and optimization for programmable unified control plane in heterogeneous wireless networks. Sarnoff Symposium (2016)
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 (2015)
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) (2015)
Xue Zhang, Xiaozhu Liu, Hooman Samani, Brian Jalaian
Cooperative Spectrum Sensing in Cognitive Wireless Sensor Networks. Int. J. Distributed Sens. Networks 11 (2015)