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Alireza Sadeghi
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2020 – today
- 2024
- [j16]Alireza Sadeghi, Paolo Bellavista, Wenjuan Song, Mohammad Yazdani-Asrami:
Digital Twins for Condition and Fleet Monitoring of Aircraft: Toward More-Intelligent Electrified Aviation Systems. IEEE Access 12: 99806-99832 (2024) - [j15]Alireza Sadeghi, Farshid Hajati, Alireza Rezaee, Mahdieh Sadeghi, Ahmadreza Argha, Hamid Alinejad-Rokny:
3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection. Comput. Biol. Medicine 182: 109126 (2024) - [j14]Alireza Sadeghi, Gang Wang, Georgios B. Giannakis:
Learning Robust to Distributional Uncertainties and Adversarial Data. IEEE J. Sel. Areas Inf. Theory 5: 105-122 (2024) - [c33]Alireza Sadeghi, Georgios B. Giannakis:
Robust Meta-Learning over Graphs with Graph Neural Networks. SAM 2024: 1-5 - 2023
- [c32]Konstantinos D. Polyzos, Alireza Sadeghi, Georgios B. Giannakis:
Bayesian Self-Supervised Learning Using Local and Global Graph Information. CAMSAP 2023: 256-260 - [c31]Siyuan Chen, Colin A. Grambow, Mojtaba Kadkhodaie Elyaderani, Alireza Sadeghi, Federico Fancellu, Thomas Schaaf:
Investigating the Utility of Synthetic Data for Doctor-Patient Conversation Summarization. INTERSPEECH 2023: 2338-2342 - 2022
- [j13]Qiuling Yang, Alireza Sadeghi, Gang Wang:
Data-Driven Priors for Robust PSSE via Gauss-Newton Unrolled Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(1): 172-181 (2022) - [c30]Alireza Sadeghi, Georgios B. Giannakis:
Learning while Respecting Privacy and Robustness to Adversarial Distributed Datasets. EUSIPCO 2022: 802-806 - [c29]Boxi Weng, Jian Sun, Alireza Sadeghi, Gang Wang:
AdaPID: An Adaptive PID Optimizer for Training Deep Neural Networks. ICASSP 2022: 3943-3947 - [i17]Alireza Sadeghi:
Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks. CoRR abs/2202.05395 (2022) - 2021
- [j12]Alireza Sadeghi, Amir Daneshvar, Mahdi Madanchi Zaj:
Combined ensemble multi-class SVM and fuzzy NSGA-II for trend forecasting and trading in Forex markets. Expert Syst. Appl. 185: 115566 (2021) - [j11]Qiuling Yang, Alireza Sadeghi, Gang Wang, Jian Sun:
Learning Two-Layer ReLU Networks Is Nearly as Easy as Learning Linear Classifiers on Separable Data. IEEE Trans. Signal Process. 69: 4416-4427 (2021) - [c28]Konstantinos D. Polyzos, Qin Lu, Alireza Sadeghi, Georgios B. Giannakis:
On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation. ACSCC 2021: 1018-1022 - [c27]Bingcong Li, Alireza Sadeghi, Georgios B. Giannakis:
Heavy Ball Momentum for Conditional Gradient. NeurIPS 2021: 21244-21255 - [i16]Bingcong Li, Alireza Sadeghi, Georgios B. Giannakis:
Heavy Ball Momentum for Conditional Gradient. CoRR abs/2110.04243 (2021) - [i15]Alireza Sadeghi, Meng Ma, Bingcong Li, Georgios B. Giannakis:
Distributionally Robust Semi-Supervised Learning Over Graphs. CoRR abs/2110.10582 (2021) - 2020
- [j10]Qiuling Yang, Gang Wang, Alireza Sadeghi, Georgios B. Giannakis, Jian Sun:
Two-Timescale Voltage Control in Distribution Grids Using Deep Reinforcement Learning. IEEE Trans. Smart Grid 11(3): 2313-2323 (2020) - [c26]Mojtaba Shivaie, Alireza Sadeghi, Pourya Rezaei, Meisam Ansari:
Suppression of Short-Circuit Fault Current Level in a Multi-Terminal Wind Farm VSC-HVDC System using Resistive-Type DC Superconducting Fault Current Limiters. IAS 2020: 1-6 - [c25]Alireza Sadeghi, Gang Wang, Georgios B. Giannakis:
Hierarchical Caching via Deep Reinforcement Learning. ICASSP 2020: 3532-3536 - [c24]Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Deep Policy Gradient for Reactive Power Control in Distribution Systems. SmartGridComm 2020: 1-6 - [c23]Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Power System State Estimation Using Gauss-Newton Unrolled Neural Networks with Trainable Priors. SmartGridComm 2020: 1-6 - [i14]Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
Robust PSSE Using Graph Neural Networks for Data-driven and Topology-aware Priors. CoRR abs/2003.01667 (2020) - [i13]Alireza Sadeghi, Georgios B. Giannakis, Gang Wang, Fatemeh Sheikholeslami:
Reinforcement Learning for Caching with Space-Time Popularity Dynamics. CoRR abs/2005.09155 (2020) - [i12]Alireza Sadeghi, Gang Wang, Meng Ma, Georgios B. Giannakis:
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data. CoRR abs/2007.03724 (2020)
2010 – 2019
- 2019
- [j9]Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis:
Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing. IEEE J. Sel. Areas Commun. 37(10): 2267-2281 (2019) - [j8]Alireza Sadeghi, Gang Wang, Georgios B. Giannakis:
Deep Reinforcement Learning for Adaptive Caching in Hierarchical Content Delivery Networks. IEEE Trans. Cogn. Commun. Netw. 5(4): 1024-1033 (2019) - [c22]Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis:
Distributed Network Caching via Dynamic Programming. ICASSP 2019: 4574-4578 - [c21]Qiuling Yang, Gang Wang, Alireza Sadeghi, Georgios B. Giannakis, Jian Sun:
Two-Timescale Voltage Regulation in Distribution Grids Using Deep Reinforcement Learning. SmartGridComm 2019: 1-6 - [p1]Sam Malek, Hamid Bagheri, Joshua Garcia, Alireza Sadeghi:
Security and Software Engineering. Handbook of Software Engineering 2019: 445-489 - [i11]Alireza Sadeghi, Antonio G. Marques, Georgios B. Giannakis:
Distributed Network Caching via Dynamic Programming. CoRR abs/1902.07121 (2019) - [i10]Alireza Sadeghi, Gang Wang, Georgios B. Giannakis:
Adaptive Caching via Deep Reinforcement Learning. CoRR abs/1902.10301 (2019) - [i9]Qiuling Yang, Gang Wang, Alireza Sadeghi, Georgios B. Giannakis, Jian Sun:
Real-time Voltage Control Using Deep Reinforcement Learning. CoRR abs/1904.09374 (2019) - [i8]Qiuling Yang, Alireza Sadeghi, Gang Wang, Georgios B. Giannakis, Jian Sun:
A Statistical Learning Approach to Reactive Power Control in Distribution Systems. CoRR abs/1910.13938 (2019) - 2018
- [j7]Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis:
Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities. IEEE J. Sel. Top. Signal Process. 12(1): 180-190 (2018) - [j6]Michele Luvisotto, Alireza Sadeghi, Farshad Lahouti, Stefano Vitturi, Michele Zorzi:
RCFD: A Novel Channel Access Scheme for Full-Duplex Wireless Networks Based on Contention in Time and Frequency Domains. IEEE Trans. Mob. Comput. 17(10): 2381-2395 (2018) - [c20]Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marqués, Georgios B. Giannakis:
Reinforcement Learning for 5G Caching with Dynamic Cost. ICASSP 2018: 6653-6657 - [c19]Alireza Sadeghi, Reyhaneh Jabbarvand, Negar Ghorbani, Hamid Bagheri, Sam Malek:
A temporal permission analysis and enforcement framework for Android. ICSE 2018: 846-857 - [c18]Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis:
Optimal Dynamic Proactive Caching Via Reinforcement Learning. SPAWC 2018: 1-5 - [i7]Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis:
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing. CoRR abs/1812.08593 (2018) - 2017
- [b1]Alireza Sadeghi:
Efficient Permission-Aware Analysis of Android Apps. University of California, Irvine, USA, 2017 - [j5]Alireza Sadeghi, Naeem Esfahani, Sam Malek:
Ensuring the Consistency of Adaptation through Inter- and Intra-Component Dependency Analysis. ACM Trans. Softw. Eng. Methodol. 26(1): 2:1-2:27 (2017) - [j4]Alireza Sadeghi, Hamid Bagheri, Joshua Garcia, Sam Malek:
A Taxonomy and Qualitative Comparison of Program Analysis Techniques for Security Assessment of Android Software. IEEE Trans. Software Eng. 43(6): 492-530 (2017) - [c17]Alireza Sadeghi, Siavash Ghavami, Georgios B. Giannakis:
Performance bounds of estimators in molecular communications under structural constraints. NANOCOM 2017: 20:1-20:6 - [c16]Alireza Sadeghi, Naeem Esfahani, Sam Malek:
Mining mobile app markets for prioritization of security assessment effort. WAMA@ESEC/SIGSOFT FSE 2017: 1-7 - [c15]Alireza Sadeghi, Reyhaneh Jabbarvand, Sam Malek:
PATDroid: permission-aware GUI testing of Android. ESEC/SIGSOFT FSE 2017: 220-232 - [i6]Alireza Sadeghi, Michele Luvisotto, Farshad Lahouti, Michele Zorzi:
Analysis of Statistical QoS in Half Duplex and Full Duplex Dense Heterogeneous Cellular Networks. CoRR abs/1708.06215 (2017) - [i5]Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis:
Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-time Popularities. CoRR abs/1708.06698 (2017) - 2016
- [j3]Hamid Bagheri, Joshua Garcia, Alireza Sadeghi, Sam Malek, Nenad Medvidovic:
Software architectural principles in contemporary mobile software: from conception to practice. J. Syst. Softw. 119: 31-44 (2016) - [c14]Hamid Bagheri, Alireza Sadeghi, Reyhaneh Jabbarvand Behrouz, Sam Malek:
Practical, Formal Synthesis and Automatic Enforcement of Security Policies for Android. DSN 2016: 514-525 - [c13]Bradley R. Schmerl, Jeff Gennari, Alireza Sadeghi, Hamid Bagheri, Sam Malek, Javier Cámara, David Garlan:
Architecture Modeling and Analysis of Security in Android Systems. ECSA 2016: 274-290 - [c12]Michele Luvisotto, Alireza Sadeghi, Farshad Lahouti, Stefano Vitturi, Michele Zorzi:
RCFD: A frequency-based channel access scheme for full-duplex wireless networks. ICC 2016: 1-7 - [c11]Alireza Sadeghi, Michele Luvisotto, Farshad Lahouti, Stefano Vitturi, Michele Zorzi:
Statistical QoS analysis of full duplex and half duplex heterogeneous cellular networks. ICC 2016: 1-6 - [c10]Alireza Sadeghi, Michele Zorzi, Farshad Lahouti:
Analysis of key generation rate from wireless channel in in-band full-duplex communications. ICC Workshops 2016: 104-109 - [c9]Nariman Mirzaei, Joshua Garcia, Hamid Bagheri, Alireza Sadeghi, Sam Malek:
Reducing combinatorics in GUI testing of android applications. ICSE 2016: 559-570 - [c8]Reyhaneh Jabbarvand Behrouz, Alireza Sadeghi, Hamid Bagheri, Sam Malek:
Energy-aware test-suite minimization for Android apps. ISSTA 2016: 425-436 - [i4]Alireza Sadeghi, Michele Luvisotto, Farshad Lahouti, Stefano Vitturi, Michele Zorzi:
Statistical QoS Analysis of Full Duplex and Half Duplex Heterogeneous Cellular Networks. CoRR abs/1604.00588 (2016) - [i3]Alireza Sadeghi, Michele Zorzi, Farshad Lahouti:
Analysis of Key Generation Rate from Wireless Channel in In-Band Full-Duplex Communications. CoRR abs/1605.09715 (2016) - [i2]Michele Luvisotto, Alireza Sadeghi, Farshad Lahouti, Stefano Vitturi, Michele Zorzi:
RCFD: A Frequency Based Channel Access Scheme for Full Duplex Wireless Networks. CoRR abs/1605.09716 (2016) - [i1]Michele Luvisotto, Alireza Sadeghi, Farshad Lahouti, Stefano Vitturi, Michele Zorzi:
RCFD: A Novel Channel Access Scheme for Full-Duplex Wireless Networks Based on Contention in Time and Frequency Domains. CoRR abs/1606.01038 (2016) - 2015
- [j2]Hamid Bagheri, Alireza Sadeghi, Joshua Garcia, Sam Malek:
COVERT: Compositional Analysis of Android Inter-App Permission Leakage. IEEE Trans. Software Eng. 41(9): 866-886 (2015) - [c7]Alireza Sadeghi, Farshad Lahouti, Michele Zorzi:
Constellation Shaping and LDPC Coding in a Bidirectional Full Duplex Communication. GLOBECOM 2015: 1-6 - [c6]Reyhaneh Jabbarvand Behrouz, Alireza Sadeghi, Joshua Garcia, Sam Malek, Paul Ammann:
EcoDroid: An Approach for Energy-Based Ranking of Android Apps. GREENS 2015: 8-14 - [c5]Ali Rahmati, Alireza Sadeghi, Vahid Shah-Mansouri:
Price-based resource allocation for full duplex self-backhauled small cell networks. ICC 2015: 5709-5714 - [c4]Alireza Sadeghi, Hamid Bagheri, Sam Malek:
Analysis of Android Inter-App Security Vulnerabilities Using COVERT. ICSE (2) 2015: 725-728 - 2014
- [c3]Alireza Sadeghi, Naeem Esfahani, Sam Malek:
Mining the Categorized Software Repositories to Improve the Analysis of Security Vulnerabilities. FASE 2014: 155-169 - [c2]Sam Malek, Hamid Bagheri, Alireza Sadeghi:
Automated detection and mitigation of inter-application security vulnerabilities in Android (invited talk). DeMobile@SIGSOFT FSE 2014: 17-18 - 2012
- [j1]Alireza Sadeghi, Seyed-Hassan Mirian-Hosseinabadi:
Mbtdd: Model Based Test Driven Development. Int. J. Softw. Eng. Knowl. Eng. 22(8): 1085-1102 (2012)
2000 – 2009
- 2006
- [c1]Farbod Khoshnoud, Alireza Sadeghi, Ibrahim I. Esat, Carlos E. H. Ventura, Clarence W. de Silva:
Structural Vibration Modeling Using a Neuro-Fuzzy Approach. FUZZ-IEEE 2006: 685-691
Coauthor Index
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