| 2026 | ACL | Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities. | Changdae Oh, Seongheon Park, To Eun Kim, Jiatong Li, Wendi Li, Samuel Yeh, Sean Du, Hamed Hassani, Paul Bogdan, Dawn Song, Sharon Li |
| 2025 | ICASSP | Controllable Generative Model for Brain Evolution. | Gengshuo Liu, Nikhil N. Chaudhari, Nikos Kanakaris, Chenzhong Yin, Paul Bogdan, Andrei Irimia |
| 2025 | ICASSP | Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. | Yao Xiao, Nikos Kanakaris, Anzhe Cheng, Chenzhong Yin, Nesreen K. Ahmed, Shahin Nazarian, Andrei Irimia, Paul Bogdan |
| 2025 | ICDM | Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms. | Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin |
| 2025 | ICLR | Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models. | Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan |
| 2025 | ICML | End-to-End Learning Framework for Solving Non-Markovian Optimal Control. | Xiaole Zhang, Peiyu Zhang, Xiongye Xiao, Shixuan Li, Vasileios Tzoumas, Vijay Gupta, Paul Bogdan |
| 2025 | WWW | Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance. | Nikos Kanakaris, Heng Ping, Xiongye Xiao, Nesreen K. Ahmed, Luca Luceri, Emilio Ferrara, Paul Bogdan |
| 2024 | ICASSP | Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. | Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan |
| 2024 | ICASSP | Discovering Malicious Signatures in Software from Structural Interactions. | Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan |
| 2024 | ICLR | Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. | Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan |
| 2023 | ICASSP | Raising The Limit of Image Rescaling Using Auxiliary Encoding. | Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan |
| 2023 | ICLR | Coupled Multiwavelet Operator Learning for Coupled Differential Equations. | Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan |
| 2023 | ICML | Generative Decoding of Visual Stimuli. | Eleni Miliotou, Panagiotis Kyriakis, Jason D. Hinman, Andrei Irimia, Paul Bogdan |
| 2023 | ICMLA | Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution. | Valeriu Balaban, Jayson Sia, Paul Bogdan |
| 2022 | ICLR | Non-Linear Operator Approximations for Initial Value Problems. | Gaurav Gupta, Xiongye Xiao, Radu Balan, Paul Bogdan |
| 2022 | ICLR | Pareto Policy Adaptation. | Panagiotis Kyriakis, Jyotirmoy Deshmukh, Paul Bogdan |
| 2022 | ICMLA | Improving Robustness: When and How to Minimize or Maximize the Loss Variance. | Valeriu Balaban, Hoda Bidkhori, Paul Bogdan |
| 2022 | ISIT | Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System. | Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan |
| 2021 | ICLR | Learning Hyperbolic Representations of Topological Features. | Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan |
| 2020 | ISCAS | S4oC: A Self-Optimizing, Self-Adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach. | Shahin Nazarian, Paul Bogdan |
| 2020 | ISCAS | An Efficient Task Mapping for Manycore Systems. | Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian |
| 2020 | WWW | VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. | Mingxi Cheng, Shahin Nazarian, Paul Bogdan |
| 2018 | DATE | Prometheus: Processing-in-memory heterogeneous architecture design from a multi-layer network theoretic strategy. | Yao Xiao, Shahin Nazarian, Paul Bogdan |
| 2018 | DATE | Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. | Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang |
| 2018 | ISCAS | Toward Enabling Automated Cognition and Decision-Making in Complex Cyber-Physical Systems. | Paul Bogdan, Massoud Pedram |
| 2017 | ICCAD | A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach. | Yao Xiao, Yuankun Xue, Shahin Nazarian, Paul Bogdan |
| 2016 | CASES | Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. | Paul Bogdan, Partha Pratim Pande, Hussam Amrouch, Muhammad Shafique, Jrg Henkel |
| 2016 | DATE | A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces. | Yuankun Xue, Saul Rodriguez, Paul Bogdan |
| 2016 | ICCD | Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. | Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram |
| 2015 | DATE | A cyber-physical systems approach to personalized medicine: challenges and opportunities for noc-based multicore platforms. | Paul Bogdan |
| 2015 | DATE | NoC-enabled multicore architectures for stochastic analysis of biomolecular reactions. | Turbo Majumder, Xian Li, Paul Bogdan, Partha Pratim Pande |
| 2015 | ICCAD | Mathematical Models and Control Algorithms for Dynamic Optimization of Multicore Platforms: A Complex Dynamics Approach. | Paul Bogdan, Yuankun Xue |
| 2015 | ICCAD | Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost. | Xue Lin, Paul Bogdan, Naehyuck Chang, Massoud Pedram |
| 2014 | ASPDAC | A comprehensive and accurate latency model for Network-on-Chip performance analysis. | Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu |
| 2014 | BigData | Trace-Based Analysis and Prediction of Cloud Computing User Behavior Using the Fractal Modeling Technique. | Shuang Chen, Mahboobeh Ghorbani, Yanzhi Wang, Paul Bogdan, Massoud Pedram |
| 2014 | DAC | Disease Diagnosis-on-a-Chip: Large Scale Networks-on-Chip based Multicore Platform for Protein Folding Analysis. | Yuankun Xue, Zhiliang Qian, Paul Bogdan, Fan Ye, Chi-Ying Tsui |
| 2014 | DATE | Low-latency wireless 3D NoCs via randomized shortcut chips. | Hiroki Matsutani, Michihiro Koibuchi, Ikki Fujiwara, Takahiro Kagami, Yasuhiro Take, Tadahiro Kuroda, Paul Bogdan, Radu Marculescu, Hideharu Amano |
| 2014 | ICCAD | Reinforcement learning based power management for hybrid electric vehicles. | Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, Massoud Pedram |
| 2013 | ASPDAC | A case for wireless 3D NoCs for CMPs. | Hiroki Matsutani, Paul Bogdan, Radu Marculescu, Yasuhiro Take, Daisuke Sasaki, Hao Zhang, Michihiro Koibuchi, Tadahiro Kuroda, Hideharu Amano |
| 2013 | DATE | SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model. | Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu |
| 2013 | ICCAD | Performance evaluation of multicore systems: from traffic analysis to latency predictions (embedded tutorial). | Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu |
| 2013 | SODA | Balls into Bins via Local Search. | Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer, He Sun |
| 2011 | DATE | Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms? | Partha Pratim Pande, Fabien Clermidy, Diego Puschini, Imen Mansouri, Paul Bogdan, Radu Marculescu, Amlan Ganguly |
| 2007 | DAC | Quantum-Like Effects in Network-on-Chip Buffers Behavior. | Paul Bogdan, Radu Marculescu |