Brian Jalaian - RankMe

76 papers A* 3A 4B 6Misc 2Journal 37Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Model Refinement: Muon-Optimized Distillation and Quantization for LLM Deployment. CoRR Jacob Sander, Brian Jalaian, Venkat R. Dasari
2026	J	`jnl`	SCoOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems. CoRR Chung-En Johnny Yu, Brian Jalaian, Nathaniel D. Bastian
2025	J	`jnl`	Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute. CoRR Chung-En Yu, Brian Jalaian, Nathaniel D. Bastian
2025	J	`jnl`	Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression. CoRR Jacob Sander, David Moe, Achraf Cohen, K. Brent Venable, Venkat R. Dasari, Brian Jalaian
2025	—	`conf`	Constrained Edge AI Deployment: Fine-Tuning vs. Distillation for LLM Compression. MILCOM Jacob Sander, David Moe, Achraf Cohen, Brian Jalaian, K. Brent Venable, Venkat R. Dasari
2025	J	`jnl`	Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models. CoRR Chung-En Yu, Hsuan-Chih Chen, Brian Jalaian, Nathaniel D. Bastian
2025	—	`conf`	Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection. MILCOM Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian
2025	J	`jnl`	Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection. CoRR Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian
2025	J	`jnl`	Neurosymbolic AI for network intrusion detection systems: A survey. J. Inf. Secur. Appl. Alice Bizzarri, Chung-En Johnny Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2025	J	`jnl`	Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning. CoRR Huynh T. T. Tran, Jacob Sander, Achraf Cohen, Brian Jalaian, Nathaniel D. Bastian
2025	J	`jnl`	ORCA: Agentic Reasoning For Hallucination and Adversarial Robustness in Vision-Language Models. CoRR Chung-En Johnny Yu, Hsuan-Chih Chen, Brian Jalaian, Nathaniel D. Bastian
2025	J	`jnl`	On Accelerating Edge AI: Optimizing Resource-Constrained Environments. CoRR Jacob Sander, Achraf Cohen, Venkat R. Dasari, K. Brent Venable, Brian Jalaian
2025	—	`conf`	Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. ECML/PKDD (7) Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan
2025	J	`jnl`	Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. CoRR Fudong Lin, Jiadong Lou, Hao Wang, Brian Jalaian, Xu Yuan
2024	B	`conf`	A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. ICCCN Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2024	J	`jnl`	A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. CoRR Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2024	—	`conf`	Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection. AI*IA Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian
2024	—	`conf`	Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection. MILCOM Jacob Sander, Chung-En Johnny Yu, Brian Jalaian, Nathaniel D. Bastian
2023	J	`jnl`	Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. Mach. Learn. Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian
2023	J	`jnl`	Enhancing object detection robustness: A synthetic and natural perturbation approach. CoRR Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman Samani
2023	—	`conf`	Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation. CVIPPR Nilantha Premakumara, Brian Jalaian, Niranjan Suri, Hooman Samani
2023	—	`conf`	Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning. MILCOM Brian Jalaian, Nathaniel D. Bastian
2023	J	`jnl`	On DoF Conservation in MIMO Interference Cancellation Based on Signal Strength in the Eigenspace. IEEE Trans. Mob. Comput. Yongce Chen, Shaoran Li, Chengzhang Li, Huacheng Zeng, Brian Jalaian, Y. Thomas Hou, Wenjing Lou
2023	B	`ed.`	Proceedings of the 12th Knowledge Capture Conference 2023, K-CAP 2023, Pensacola, FL, USA, December 5-7, 2023 K-CAP K. Brent Venable, Daniel Garijo, Brian Jalaian
2023	J	`jnl`	Reducing classifier overconfidence against adversaries through graph algorithms. Mach. Learn. Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
2023	—	`conf`	Shedding Light on Darkness: Enhancing Object Detection Robustness with Synthetic Perturbations for Real-world Challenges. CAI Nilantha Premakumara, Brian Jalaian, Niranjan Suri
2022	A*	`conf`	EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. WWW Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2022	J	`jnl`	Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning. CoRR Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
2022	J	`jnl`	Maximizing Energy Efficiency With Channel Uncertainty Under Mutual Interference. IEEE Trans. Wirel. Commun. Shaoran Li, Y. Thomas Hou, Wenjing Lou, Brian Jalaian, Stephen Russell
2022	—	`conf`	The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. MILCOM Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek F. Abdelzaher, Brian Jalaian
2022	—	`conf`	URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. MLSys Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin
2021	A	`conf`	AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. CIKM Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021	J	`jnl`	Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo. CoRR Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian
2021	J	`jnl`	EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. CoRR Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
2021	—	`conf`	Fountain Coding for Information Protection in Tactical Networks. ICMCIS Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri
2021	J	`jnl`	Graph Neural Networks with Adaptive Frequency Response Filter. CoRR Yushun Dong, Kaize Ding, Brian Jalaian, Shuiwang Ji, Jundong Li
2021	B	`conf`	Improving Differential Evolution through Bayesian Hyperparameter Optimization. CEC Subhodip Biswas, Debanjan Saha, Shuvodeep De, Adam D. Cobb, Swagatam Das, Brian Jalaian
2021	J	`jnl`	Maximize Spectrum Efficiency in Underlay Coexistence With Channel Uncertainty. IEEE/ACM Trans. Netw. Shaoran Li, Yan Huang, Chengzhang Li, Brian Jalaian, Y. Thomas Hou, Wenjing Lou, Stephen Russell
2021	Misc	`conf`	Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks. WSC Adam D. Cobb, Brian Jalaian, Nathaniel D. Bastian, Stephen Russell
2021	A	`conf`	Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting. UAI Adam D. Cobb, Brian Jalaian
2021	B	`conf`	Task Offloading with Uncertain Processing Cycles. MobiHoc Shaoran Li, Chengzhang Li, Yan Huang, Brian Jalaian, Y. Thomas Hou, Wenjing Lou
2020	J	`jnl`	Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. CoRR Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin
2020	J	`jnl`	Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. CoRR Subhodip Biswas, Adam D. Cobb, Andreea Sistrunk, Naren Ramakrishnan, Brian Jalaian
2020	J	`jnl`	Exploring Performance Trade-offs in Tactical Edge Networks. IEEE Commun. Mag. Vignesh Sridharan, Mehul Motani, Brian Jalaian, Niranjan Suri
2020	A	`conf`	Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. UAI Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
2020	J	`jnl`	Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. CoRR Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
2020	—	`conf`	On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI 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
2020	J	`jnl`	Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting. CoRR Adam D. Cobb, Brian Jalaian
2020	J	`jnl`	URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. CoRR Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
2019	B	`conf`	A Real-Time Solution for Underlay Coexistence with Channel Uncertainty. GLOBECOM Shaoran Li, Yan Huang, Chengzhang Li, Brian Jalaian, Stephen Russell, Y. Thomas Hou, Wenjing Lou, Benjamin MacCall
2019	J	`jnl`	Are Graph Neural Networks Miscalibrated? CoRR Leonardo Teixeira, Brian Jalaian, Bruno Ribeiro
2019	A*	`conf`	Attribution-Based Confidence Metric For Deep Neural Networks. NeurIPS Susmit Jha, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha, Somesh Jha, Brian Jalaian, Gunjan Verma, Ananthram Swami
2019	J	`jnl`	Attribution-driven Causal Analysis for Detection of Adversarial Examples. CoRR Susmit Jha, Sunny Raj, Steven Lawrence Fernandes, Sumit Kumar Jha, Somesh Jha, Gunjan Verma, Brian Jalaian, Ananthram Swami
2019	B	`conf`	Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation. MobiHoc Shaoran Li, Yan Huang, Chengzhang Li, Brian Jalaian, Y. Thomas Hou, Wenjing Lou
2019	—	`conf`	Intelligent Search, Rescue, and Disaster Recovery via Internet of Things. GIoTS Yu-Wei Kao, Hooman Samani, Shu-Chiao Tsai, Brian Jalaian, Niranjan Suri, Mike Lee
2019	A	`conf`	Kronos: A 5G Scheduler for AoI Minimization Under Dynamic Channel Conditions. ICDCS Chengzhang Li, Yan Huang, Yongce Chen, Brian Jalaian, Y. Thomas Hou, Wenjing Lou
2019	—	`conf`	Optimal Power Control with Channel Uncertainty in Ad Hoc Networks. MILCOM Shaoran Li, Y. Thomas Hou, Wenjing Lou, Brian Jalaian, Stephen Russell, Benjamin MacCall
2019	J	`jnl`	Reaping the Benefits of Dynamic TDD in Massive MIMO. IEEE Syst. J. Yan Huang, Brian Jalaian, Stephen Russell, Hooman Samani
2019	—	`conf`	The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability. MILCOM Joseph Noor, Ahmed Ali-Eldin, Luis Garcia, Chirag Rao, Venkat R. Dasari, Deepak Ganesan, Brian Jalaian, Prashant J. Shenoy, Mani B. Srivastava
2019	A*	`conf`	To Cancel or Not to Cancel: Exploiting Interference Signal Strength in the Eigenspace for Efficient MIMO DoF Utilization. INFOCOM Yongce Chen, Shaoran Li, Chengzhang Li, Y. Thomas Hou, Brian Jalaian
2019	J	`jnl`	Uncertain Context: Uncertainty Quantification in Machine Learning. AI Mag. Brian Jalaian, Stephen Russell
2018	—	`conf`	Design and Development of Interactive Intelligent Medical Agent. AIVR Shu-Chiao Tsai, Hooman Samani, Yu-Wei Kao, Kening Zhu, Brian Jalaian
2018	—	`conf`	Detecting Adversarial Examples Using Data Manifolds. MILCOM Susmit Jha, Uyeong Jang, Somesh Jha, Brian Jalaian
2018	—	`conf`	Evaluating LoRaWAN-based IoT devices for the tactical military environment. WF-IoT Brian Jalaian, Timothy Gregory, Niranjan Suri, Stephen Russell, Laurel Sadler, Michael Lee
2018	—	`conf`	Investigating LoRa for the Internet of Battlefield Things: A Cyber Perspective. MILCOM Torkjel Søndrol, Brian Jalaian, Niranjan Suri
2018	—	`conf`	On Stream-Centric Learning for Internet of Battlefield Things. AAAI Spring Symposia Brian Jalaian, Alec Koppel, Andre Harrison, James Michaelis, Stephen Russell
2018	—	`conf`	Steganographic Internet of Things: Graph Topology Timing Channels. AAAI Workshops Ira S. Moskowitz, Stephen Russell, Brian Jalaian
2017	—	`conf`	A content and context-aware solution for network state exchange in tactical networks. MILCOM Roberto Fronteddu, Alessandro Morelli, Enrico Casini, Niranjan Suri, Brian Jalaian, Laurel Sadler
2017	Misc	`conf`	A generalized optimization framework for control plane in tactical wireless networking. ICNC Brian Jalaian, Venkat R. Dasari, Mehul Motani
2017	J	`jnl`	Impact of Full Duplex Scheduling on End-to-End Throughput in Multi-Hop Wireless Networks. IEEE Trans. Mob. Comput. Xiaoqi Qin, Huacheng Zeng, Xu Yuan, Brian Jalaian, Y. Thomas Hou, Wenjing Lou, Scott F. Midkiff
2016	J	`jnl`	An Online Admission Control Algorithm for Dynamic Traffic in Underlay Coexistence Paradigm. IEEE Trans. Cogn. Commun. Netw. Xu Yuan, Xiaoqi Qin, Feng Tian, Brian Jalaian, Yi Shi, Y. Thomas Hou, Wenjing Lou, Wade Trappe
2016	—	`conf`	Modeling and optimization for programmable unified control plane in heterogeneous wireless networks. Sarnoff Symposium Brian Jalaian, Venkat R. Dasari, Y. Thomas Hou
2016	—	`—`	On Programmable Control and Optimization for Multi-Hop Wireless Networks. Brian Jalaian
2015	J	`jnl`	Cooperative Spectrum Sensing in Cognitive Wireless Sensor Networks. Int. J. Distributed Sens. Networks Xue Zhang, Xiaozhu Liu, Hooman Samani, Brian Jalaian
2015	J	`jnl`	Dynamic Spectrum Access Algorithm Based on Game Theory in Cognitive Radio Networks. Mob. Networks Appl. Xiaozhu Liu, Rongbo Zhu, Brian Jalaian, Yongli Sun
2015	J	`jnl`	ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT. IEEE Access Rongbo Zhu, Xue Zhang, Xiaozhu Liu, Wanneng Shu, Tengyue Mao, Brian Jalaian