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2020 – today
- 2024
[j38]Jayson Sia
, Edmond A. Jonckheere, Laith Shalalfeh, Paul Bogdan:
Phasor Measurement Unit Change-Point Detection of Frequency Hurst Exponent Anomaly With Time-to-Event. IEEE Trans. Dependable Secur. Comput. 21(2): 819-827 (2024)- [c98]Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan:
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. ICASSP 2024: 4235-4239 - [c97]Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. ICASSP 2024: 4845-4849 - [c96]Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan:
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. ICLR 2024 - [i36]Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan:
Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective. CoRR abs/2402.09099 (2024) - [i35]Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan:
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. CoRR abs/2404.09403 (2024) - [i34]Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A structure-aware framework for learning device placements on computation graphs. CoRR abs/2405.14185 (2024) - [i33]Fanchen Bu, Ruochen Yang, Paul Bogdan, Kijung Shin:
Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms. CoRR abs/2405.16726 (2024) - [i32]Luzhe Huang, Xiongye Xiao, Shixuan Li, Jiawen Sun, Yi Huang, Aydogan Ozcan, Paul Bogdan:
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration. CoRR abs/2407.05259 (2024) - 2023
- [j37]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
A Scalable Distributed Dynamical Systems Approach to Learn the Strongly Connected Components and Diameter of Networks. IEEE Trans. Autom. Control. 68(5): 3099-3106 (2023) - [c95]Jingyu He, Ziyang Shen, Fengshi Tian, Jinbo Chen, Jie Yang, Mohamad Sawan, Hsiang-Ting Chen, Paul Bogdan, Chi-Ying Tsui:
SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks. AICAS 2023: 1-5 - [c94]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems. ACC 2023: 2228-2233 - [c93]Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan:
Raising The Limit of Image Rescaling Using Auxiliary Encoding. ICASSP 2023: 1-5 - [c92]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR 2023 - [c91]Eleni Miliotou, Panagiotis Kyriakis, Jason D. Hinman, Andrei Irimia, Paul Bogdan:
Generative Decoding of Visual Stimuli. ICML 2023: 24775-24784 - [c90]Valeriu Balaban, Jayson Sia, Paul Bogdan:
Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution. ICMLA 2023: 520-527 - [i31]Junyao Zhang, Paul Bogdan, Shahin Nazarian:
C-SAR: SAT Attack Resistant Logic Locking for RSFQ Circuits. CoRR abs/2301.10216 (2023) - [i30]Junyao Zhang, Paul Bogdan, Shahin Nazarian:
A Majority Logic Synthesis Framework For Single Flux Quantum Circuits. CoRR abs/2301.10695 (2023) - [i29]Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan:
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. CoRR abs/2303.02304 (2023) - [i28]Chenzhong Yin, Zhihong Pan, Xin Zhou, Le Kang, Paul Bogdan:
Raising The Limit Of Image Rescaling Using Auxiliary Encoding. CoRR abs/2303.06747 (2023) - [i27]Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta:
Fractional dynamics foster deep learning of COPD stage prediction. CoRR abs/2303.07537 (2023) - [i26]Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan:
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. CoRR abs/2310.07885 (2023) - [i25]Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR abs/2312.05657 (2023) - [i24]Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. CoRR abs/2312.12667 (2023) - [i23]Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan:
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. CoRR abs/2312.13311 (2023) - 2022
- [j36]Emily A. Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Fractional cyber-neural systems - A brief survey. Annu. Rev. Control. 54: 386-408 (2022) - [j35]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs. Autom. 146: 110557 (2022) - [j34]Paul Bogdan, Radu Grosu, Insup Lee:
Introduction to the Special Issue on Internet-of-Medical-Things. ACM Trans. Comput. Heal. 3(3): 26e:1 (2022) - [j33]Minjeong Cha, Emine Sumeyra Turali-Emre, Xiongye Xiao, Ji-Young Kim, Paul Bogdan, J. Scott Vanepps, Angela Violi, Nicholas A. Kotov:
Unifying structural descriptors for biological and bioinspired nanoscale complexes. Nat. Comput. Sci. 2(4): 243-252 (2022) - [j32]Jingyu He, Yao Xiao, Corina Bogdan, Shahin Nazarian, Paul Bogdan:
A Design Methodology for Energy-Aware Processing in Unmanned Aerial Vehicles. ACM Trans. Design Autom. Electr. Syst. 27(1): 4:1-4:20 (2022) - [c89]Panagiotis Kyriakis, Jyotirmoy V. Deshmukh, Paul Bogdan:
Learning from Demonstrations under Stochastic Temporal Logic Constraints. ACC 2022: 2598-2603 - [c88]Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan:
Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures. CoLLAs 2022: 1086-1102 - [c87]Gaurav Gupta, Xiongye Xiao, Radu Balan, Paul Bogdan:
Non-Linear Operator Approximations for Initial Value Problems. ICLR 2022 - [c86]Panagiotis Kyriakis, Jyotirmoy Deshmukh, Paul Bogdan:
Pareto Policy Adaptation. ICLR 2022 - [c85]Valeriu Balaban, Hoda Bidkhori, Paul Bogdan:
Improving Robustness: When and How to Minimize or Maximize the Loss Variance. ICMLA 2022: 1455-1462 - [c84]Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan:
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System. ISIT 2022: 97-102 - [c83]Ruochen Yang, Frederic Sala, Paul Bogdan:
Efficient Representation Learning for Higher-Order Data With Simplicial Complexes. LoG 2022: 13 - [i22]Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR abs/2204.11981 (2022) - [i21]Mohamed Ridha Znaidi, Gaurav Gupta, Paul Bogdan:
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System. CoRR abs/2205.04855 (2022) - 2021
- [j31]Yao Xiao, Shahin Nazarian, Paul Bogdan:
Plasticity-on-Chip Design: Exploiting Self-Similarity for Data Communications. IEEE Trans. Computers 70(6): 950-962 (2021) - [j30]Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere:
Fractional Dynamics of PMU Data. IEEE Trans. Smart Grid 12(3): 2578-2588 (2021) - [c82]Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
A General Trust Framework for Multi-Agent Systems. AAMAS 2021: 332-340 - [c81]Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed:
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData 2021: 1858-1866 - [c80]Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan:
Non-Markovian Reinforcement Learning using Fractional Dynamics. CDC 2021: 1542-1547 - [c79]Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan:
Learning Hyperbolic Representations of Topological Features. ICLR 2021 - [c78]Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. IV 2021: 377-384 - [c77]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys 2021 - [c76]Gaurav Gupta, Xiongye Xiao, Paul Bogdan:
Multiwavelet-based Operator Learning for Differential Equations. NeurIPS 2021: 24048-24062 - [i20]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. CoRR abs/2102.00816 (2021) - [i19]Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan:
Learning Hyperbolic Representations of Topological Features. CoRR abs/2103.09273 (2021) - [i18]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks. CoRR abs/2105.10229 (2021) - [i17]Emily A. Reed, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs. CoRR abs/2107.13493 (2021) - [i16]Gaurav Gupta, Chenzhong Yin, Jyotirmoy V. Deshmukh, Paul Bogdan:
Non-Markovian Reinforcement Learning using Fractional Dynamics. CoRR abs/2107.13790 (2021) - [i15]Gaurav Gupta, Xiongye Xiao, Paul Bogdan:
Multiwavelet-based Operator Learning for Differential Equations. CoRR abs/2109.13459 (2021) - [i14]Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. CoRR abs/2111.04248 (2021) - [i13]Emily A. Reed, Sarthak Chatterjee, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
Fractional cyber-neural systems - a brief survey. CoRR abs/2112.08535 (2021) - 2020
- [j29]Mohamed Ridha Znaidi, Gaurav Gupta, Kamiar Asgari, Paul Bogdan:
Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach. Frontiers Appl. Math. Stat. 6: 14 (2020) - [j28]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks. Frontiers Artif. Intell. 3: 54 (2020) - [j27]Mingqiang Wang, Drew Vecchio, Chunyan Wang, Ahmet Emre, Xiongye Xiao, Zaixing Jiang, Paul Bogdan, Yudong Huang, Nicholas A. Kotov:
Biomorphic structural batteries for robotics. Sci. Robotics 5(45): 1912 (2020) - [j26]Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian:
H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2925-2937 (2020) - [c75]Panagiotis Kyriakis, Sérgio Pequito, Paul Bogdan:
Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory. ACC 2020: 4671-4676 - [c74]Panagiotis Kyriakis, Sérgio Pequito, Paul Bogdan:
On the Stability and Fairness of Submodular Allocations. CDC 2020: 2648-2653 - [c73]Chenzhong Yin, Gaurav Gupta, Paul Bogdan:
Discovering Laws from Observations: A Data-Driven Approach. DDDAS 2020: 302-310 - [c72]Shahin Nazarian, Paul Bogdan:
S4oC: A Self-Optimizing, Self-Adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach. ISCAS 2020: 1-8 - [c71]Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian:
An Efficient Task Mapping for Manycore Systems. ISCAS 2020: 1-4 - [c70]Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere:
PMU Visibility Graphs. ISGT 2020: 1-5 - [c69]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. WWW 2020: 2892-2898 - [i12]Shahin Nazarian, Paul Bogdan:
S4oC: A Self-optimizing, Self-adapting Secure System-on-Chip Design Framework to Tackle Unknown Threats - A Network Theoretic, Learning Approach. CoRR abs/2004.02109 (2020) - [i11]Xiqian Wang, Jiajin Xi, Yinghao Wang, Paul Bogdan, Shahin Nazarian:
Efficient Task Mapping for Manycore Systems. CoRR abs/2004.03462 (2020) - [i10]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR abs/2010.04414 (2020)
2010 – 2019
- 2019
- [j25]Qi Cao, Guilherme Ramos, Paul Bogdan, Sérgio Pequito:
The actuation spectrum of Spatiotemporal Networks with Power-Law Time Dependencies. Adv. Complex Syst. 22(7&8): 1950023:1-1950023:19 (2019) - [j24]Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan:
Guest Editors' Introduction: Special Issue on Smart and Autonomous Systems for Sustainability. IEEE Des. Test 36(5): 5-6 (2019) - [j23]Janardhan Rao Doppa, Justinian Rosca, Paul Bogdan:
Autonomous Design Space Exploration of Computing Systems for Sustainability: Opportunities and Challenges. IEEE Des. Test 36(5): 35-43 (2019) - [j22]Panagiotis Kyriakis, Jyotirmoy V. Deshmukh, Paul Bogdan:
Specification Mining and Robust Design under Uncertainty: A Stochastic Temporal Logic Approach. ACM Trans. Embed. Comput. Syst. 18(5s): 96:1-96:21 (2019) - [j21]Yao Xiao, Shahin Nazarian, Paul Bogdan:
Self-Optimizing and Self-Programming Computing Systems: A Combined Compiler, Complex Networks, and Machine Learning Approach. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1416-1427 (2019) - [c68]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Learning Latent Fractional dynamics with Unknown Unknowns. ACC 2019: 217-222 - [c67]Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao:
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS 2019: 21:1-21:10 - [c66]Ruochen Yang, Gaurav Gupta, Paul Bogdan:
Data-driven perception of neuron point process with unknown unknowns. ICCPS 2019: 259-269 - [e2]Paul Bogdan, Cristina Silvano:
Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2019, New York, NY, USA, October 17-18, 2019. ACM 2019, ISBN 978-1-4503-6700-4 [contents] - [i9]Jingyu He, Yao Xiao, Paul Bogdan, Corina Bogdan:
Design Methodology for Energy Efficient Unmanned Aerial Vehicles. CoRR abs/1909.11238 (2019) - [i8]Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian:
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. CoRR abs/1912.10808 (2019) - 2018
- [j20]Vasileios Tzoumas, Yuankun Xue, Sérgio Pequito, Paul Bogdan, George J. Pappas:
Selecting Sensors in Biological Fractional-Order Systems. IEEE Trans. Control. Netw. Syst. 5(2): 709-721 (2018) - [j19]Xian Li, Karthi Duraisamy, Paul Bogdan, Janardhan Rao Doppa, Partha Pratim Pande:
Scalable Network-on-Chip Architectures for Brain-Machine Interface Applications. IEEE Trans. Very Large Scale Integr. Syst. 26(10): 1895-1907 (2018) - [c65]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs. ACC 2018: 2814-2820 - [c64]Jayson Sia, Edmond A. Jonckheere, Laith Shalalfeh, Paul Bogdan:
PMU Change Point Detection of Imminent Voltage Collapse and Stealthy Attacks. CDC 2018: 6812-6817 - [c63]Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang:
Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. DATE 2018: 877-880 - [c62]Yao Xiao, Shahin Nazarian, Paul Bogdan:
Prometheus: Processing-in-memory heterogeneous architecture design from a multi-layer network theoretic strategy. DATE 2018: 1387-1392 - [c61]Jyotirmoy V. Deshmukh, Panagiotis Kyriakis, Paul Bogdan:
Stochastic Temporal Logic Abstractions: Challenges and Opportunities. FORMATS 2018: 3-16 - [c60]Fanchao Wang, Hanbin Zhu, Pranjay Popli, Yao Xiao, Paul Bogdan, Shahin Nazarian:
Accelerating Coverage Directed Test Generation for Functional Verification: A Neural Network-based Framework. ACM Great Lakes Symposium on VLSI 2018: 207-212 - [c59]Gaurav Gupta, Sérgio Daniel Pequito, Paul Bogdan:
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis. ICCPS 2018: 275-286 - [c58]Paul Bogdan, Massoud Pedram:
Toward Enabling Automated Cognition and Decision-Making in Complex Cyber-Physical Systems. ISCAS 2018: 1-4 - [e1]Zhonghai Lu, Sriram R. Vangal, Jiang Xu, Paul Bogdan:
Twelfth IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2018, Torino, Italy, October 4-5, 2018. IEEE 2018, ISBN 978-1-5386-4893-3 [contents] - [i7]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs. CoRR abs/1803.04866 (2018) - [i6]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis. CoRR abs/1803.10318 (2018) - [i5]Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang:
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators. CoRR abs/1804.01574 (2018) - [i4]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Approximate Submodular Functions and Performance Guarantees. CoRR abs/1806.06323 (2018) - [i3]Ruochen Yang, Gaurav Gupta, Paul Bogdan:
Data-driven Perception of Neuron Point Process with Unknown Unknowns. CoRR abs/1811.00688 (2018) - [i2]Gaurav Gupta, Sérgio Pequito, Paul Bogdan:
Learning Latent Fractional dynamics with Unknown Unknowns. CoRR abs/1811.00703 (2018) - 2017
- [j18]Xian Li, Karthi Duraisamy, Joe Baylon, Turbo Majumder, Guopeng Wei, Paul Bogdan, Deukhyoun Heo, Partha Pratim Pande:
A Reconfigurable Wireless NoC for Large Scale Microbiome Community Analysis. IEEE Trans. Computers 66(10): 1653-1666 (2017) - [j17]Yuankun Xue, Ji Li, Shahin Nazarian, Paul Bogdan:
Fundamental Challenges Toward Making the IoT a Reachable Reality: A Model-Centric Investigation. ACM Trans. Design Autom. Electr. Syst. 22(3): 53:1-53:25 (2017) - [j16]Karthi Duraisamy, Yuankun Xue, Paul Bogdan, Partha Pratim Pande:
Multicast-Aware High-Performance Wireless Network-on-Chip Architectures. IEEE Trans. Very Large Scale Integr. Syst. 25(3): 1126-1139 (2017) - [c57]Yao Xiao, Yuankun Xue, Shahin Nazarian, Paul Bogdan:
A load balancing inspired optimization framework for exascale multicore systems: A complex networks approach. ICCAD 2017: 217-224 - [c56]Gaurav Gupta, Paul Bogdan:
Distributed placement of power generation resources in uncertain environments. ICCPS 2017: 71-79 - [c55]Yuankun Xue, Paul Bogdan:
Constructing compact causal mathematical models for complex dynamics. ICCPS 2017: 97-107 - 2016
- [j15]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(3): 471-484 (2016) - [j14]Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu:
Performance Evaluation of NoC-Based Multicore Systems: From Traffic Analysis to NoC Latency Modeling. ACM Trans. Design Autom. Electr. Syst. 21(3): 52:1-52:38 (2016) - [j13]Xian Li, Karthi Duraisamy, Paul Bogdan, Turbo Majumder, Partha Pratim Pande:
Network-on-Chip-Enabled Multicore Platforms for Parallel Model Predictive Control. IEEE Trans. Very Large Scale Integr. Syst. 24(9): 2837-2850 (2016) - [c54]Yuankun Xue, Sérgio Pequito, Joana R. Coelho, Paul Bogdan, George J. Pappas:
Minimum number of sensors to ensure observability of physiological systems: A case study. Allerton 2016: 1181-1188 - [c53]Paul Bogdan, Partha Pratim Pande, Hussam Amrouch, Muhammad Shafique, Jörg Henkel:
Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. CASES 2016: 4:1-4:2 - [c52]Yuankun Xue, Paul Bogdan:
Scalable and realistic benchmark synthesis for efficient NoC performance evaluation: a complex network analysis approach. CODES+ISSS 2016: 2:1-2:10 - [c51]Paul Bogdan, Miroslav Pajic, Partha Pratim Pande, Vijay Raghunathan:
Making the internet-of-things a reality: from smart models, sensing and actuation to energy-efficient architectures. CODES+ISSS 2016: 25:1-25:10 - [c50]Yuankun Xue, Saul Rodriguez, Paul Bogdan:
A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces. DATE 2016: 642-647 - [c49]Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram:
Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. ICCD 2016: 241-248 - [c48]Yuankun Xue, Paul Bogdan:
Improving NoC performance under spatio-temporal variability by runtime reconfiguration: a general mathematical framework. NOCS 2016: 1-8 - [c47]Laith Shalalfeh, Paul Bogdan, Edmond A. Jonckheere:
Kendall's tau of frequency Hurst exponent as blackout proximity Margin. SmartGridComm 2016: 466-471 - [c46]Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan:
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. SoCC 2016: 317-322 - 2015
- [j12]Paul Bogdan, Rahul Mangharam:
Guest Editors' Introduction: Cyber-Physical Systems for Medical Applications. IEEE Des. Test 32(5): 6-8 (2015) - [c45]Sérgio Daniel Pequito, Paul Bogdan, George J. Pappas:
Minimum number of probes for brain dynamics observability. CDC 2015: 306-311