Nasim Soltani

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All published works

Action	Title	Year	Authors
+ PDF Chat	Explainability-based adversarial attack on graphs through edge perturbation	2025	Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Soltani
+ PDF Chat	VERITAS: Verifying the Performance of AI-native Transceiver Actions in Base-Stations	2025	Nasim Soltani Michael Loehning Kaushik Chowdhury
+ PDF Chat	A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models	2024	Dibaloke Chanda Milan Aryal Nasim Soltani Masoud Ganji
+ PDF Chat	Context-Aware Self-Supervised Learning of Whole Slide Images	2024	Milan Aryal Nasim Soltani
+ PDF Chat	Learning from the Best: Active Learning for Wireless Communications	2024	Nasim Soltani Jifan Zhang Batool Salehi Debashri Roy Robert Nowak Kaushik Chowdhury
+ PDF Chat	Learning from the Best: Active Learning for Wireless Communications	2024	Nasim Soltani Jifan Zhang Batool Salehi Debashri Roy Robert Nowak Kaushik Chowdhury
+ PDF Chat	PRONTO: Preamble Overhead Reduction With Neural Networks for Coarse Synchronization	2023	Nasim Soltani Debashri Roy Kaushik Chowdhury
+	A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid	2023	Dibaloke Chanda Nasim Soltani
+	Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation	2023	Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Soltani
+ PDF Chat	Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices	2022	Nasim Soltani Hai Cheng Mauro Belgiovine Yanyu Li Haoqing Li Bahar Azari Salvatore D’Oro Tales Imbiriba Tommaso Melodia Pau Closas
+	Neural Network-based OFDM Receiver for Resource Constrained IoT Devices	2022	Nasim Soltani Hai Cheng Mauro Belgiovine Yanyu Li Haoqing Li Bahar Azari Salvatore D’Oro Tales Imbiriba Tommaso Melodia Pau Closas
+	PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization	2021	Nasim Soltani Debashri Roy Kaushik Chowdhury

Common Coauthors

Coauthor	Papers Together
Kaushik Chowdhury	7
Dibaloke Chanda	4
Debashri Roy	4
Yanyu Li	2
Saba Heidari Gheshlaghi	2
Haoqing Li	2
Salvatore D’Oro	2
Tommaso Melodia	2
Pau Closas	2
Milan Aryal	2
Mauro Belgiovine	2
Batool Salehi	2
Tales Imbiriba	2
Deniz Erdoğmuş	2
Yanzhi Wang	2
Bahar Azari	2
Robert Nowak	2
Jifan Zhang	2
Michael Loehning	1
Hai Cheng	1
Hai Cheng	1
Masoud Ganji	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices	2022	Nasim Soltani Hai Cheng Mauro Belgiovine Yanyu Li Haoqing Li Bahar Azari Salvatore D’Oro Tales Imbiriba Tommaso Melodia Pau Closas	2
+ PDF Chat	Massive MIMO for next generation wireless systems	2014	Erik G. Larsson Ove Edfors Fredrik Tufvesson Thomas L. Marzetta	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Revisiting multiple instance neural networks	2017	Xinggang Wang Yongluan Yan Peng Tang Xiang Bai Wenyu Liu	1
+ PDF Chat	Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images	2017	Xin Yang Lequan Yu Ling‐Yun Wu Yi Wang Dong Ni Jing Qin Pheng‐Ann Heng	1
+ PDF Chat	Over-the-Air Deep Learning Based Radio Signal Classification	2018	Timothy J. O’Shea Tamoghna Roy T. Charles Clancy	1
+	Fast Gradient Attack on Network Embedding	2018	Jinyin Chen Yangyang Wu Xuanheng Xu Yixian Chen Haibin Zheng Qi Xuan	1
+ PDF Chat	ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers	2018	Xuanxuan Gao Shi Jin Chao-Kai Wen Geoffrey Ye Li	1
+	Attack Graph Convolutional Networks by Adding Fake Nodes	2018	Xiaoyun Wang Joe Eaton Cho‐Jui Hsieh Felix Wu	1
+ PDF Chat	ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks	2019	Kunal Sankhe Mauro Belgiovine Fan Zhou Shamnaz Riyaz Stratis Ioannidis Kaushik Chowdhury	1
+ PDF Chat	Adversarial Attack and Defense on Graph Data: A Survey	2022	Lichao Sun Yingtong Dou Carl Yang Kai Zhang Ji Wang Philip S. Yu Lifang He Bo Li	1
+	Adversarial Attacks on Graph Neural Networks via Meta Learning	2019	Daniel Zügner Stephan Günnemann	1
+	Towards Data Poisoning Attack against Knowledge Graph Embedding.	2019	Hengtong Zhang Tianhang Zheng Jing Gao Chenglin Miao Lu Su Yaliang Li Kui Ren	1
+	Attacking Graph Convolutional Networks via Rewiring	2019	Yao Ma Suhang Wang Tyler Derr Lingfei Wu Jiliang Tang	1
+ PDF Chat	A Neural Network Aided Approach for LDPC Coded DCO-OFDM with Clipping Distortion	2019	Yuan He Ming Jiang Xintong Ling Chunming Zhao	1
+	Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems	2017	Hao Ye Geoffrey Ye Li Biing‐Hwang Juang	1
+ PDF Chat	Artificial Intelligence-Aided Receiver for a CP-Free OFDM System: Design, Simulation, and Experimental Test	2019	Jing Zhang Chao-Kai Wen Shi Jin Geoffrey Ye Li	1
+ PDF Chat	Column Networks for Collective Classification	2017	Trang Pham Truyen Tran Dinh Phung Svetha Venkatesh	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Communication Algorithms via Deep Learning	2018	Hyeji Kim Yihan Jiang Ranvir Rana Sreeram Kannan Sewoong Oh Pramod Viswanath	1
+	Adversarial Examples for Graph Data: Deep Insights into Attack and Defense	2019	Huijun Wu Chen Wang Yuriy Tyshetskiy Andrew Docherty Kai Lü Liming Zhu	1
+	Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective	2019	Kaidi Xu Hongge Chen Sijia Liu Pin‐Yu Chen Tsui-Wei Weng Mingyi Hong Xue Lin	1
+	GNNExplainer: Generating Explanations for Graph Neural Networks	2019	Rex Ying Dylan Bourgeois Jiaxuan You Marinka Žitnik Jure Leskovec	1
+	A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning	2019	Xuanqing Liu Si Si Xiaojin Zhu Yang Li Cho‐Jui Hsieh	1
+	A Survey of Adversarial Learning on Graphs	2020	Liang Chen Jintang Li Jiaying Peng Tao Xie Zengxu Cao Kun Xu Xiangnan He Zibin Zheng	1
+ PDF Chat	Adversarial Attacks and Defenses in Images, Graphs and Text: A Review	2020	Han Xu Yao Ma Hao-Chen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain	1
+ PDF Chat	Deep Learning-Based Packet Detection and Carrier Frequency Offset Estimation in IEEE 802.11ah	2021	Vukan Ninković Aleksandar Valka Dejan Dumic Dejan Vukobratović	1
+ PDF Chat	Self-Supervised Learning of Pretext-Invariant Representations	2020	Ishan Misra Laurens van der Maaten	1
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+	A Note on Over-Smoothing for Graph Neural Networks	2020	Chen Cai Yusu Wang	1
+ PDF Chat	Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces	2020	Shicong Liu Zhen Gao Jun Zhang Marco Di Renzo Mohamed‐Slim Alouini	1
+ PDF Chat	Representation Learning of Histopathology Images using Graph Neural Networks	2020	Mohammed Adnan Shivam Kalra Hamid R. Tizhoosh	1
+	Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks	2020	Jiawen Yao Xinliang Zhu Jitendra Jonnagaddala Nicholas J. Hawkins Junzhou Huang	1
+	End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication	2020	Fayçal Ait Aoudia Jakob Hoydis	1
+	Parameterized Explainer for Graph Neural Network	2020	Dongsheng Luo Wei Cheng Dongkuan Xu Wenchao Yu Bo Zong Haifeng Chen Xiang Zhang	1
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	1
+ PDF Chat	Explainability in Graph Neural Networks: A Taxonomic Survey	2022	Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji	1
+ PDF Chat	Big Self-Supervised Models Advance Medical Image Classification	2021	Shekoofeh Azizi Basil Mustafa Fiona Ryan Zachary Beaver Jan Freyberg Jonathan Deaton Aaron Loh Alan Karthikesalingam Simon Kornblith Ting Chen	1
+ PDF Chat	Learn-Prune-Share for Lifelong Learning	2020	Zifeng Wang Tong Jian Kaushik Chowdhury Yanzhi Wang Jennifer Dy Stratis Ioannidis	1
+ PDF Chat	DeepRx: Fully Convolutional Deep Learning Receiver	2021	Mikko Honkala Dani Korpi Janne M. J. Huttunen	1
+ PDF Chat	Preamble-Based Packet Detection in Wi-Fi: A Deep Learning Approach	2020	Vukan Ninković Dejan Vukobratović Aleksandar Valka Dejan Dumic	1
+ PDF Chat	An Empirical Study of Training Self-Supervised Vision Transformers	2021	Xinlei Chen Saining Xie Kaiming He	1
+	Graph neural networks: A review of methods and applications	2020	Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun	1
+ PDF Chat	Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification	2021	Salvatore D’Oro Francesco Restuccia Tommaso Melodia	1
+ PDF Chat	Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN	2021	Guanxiong Shen Junqing Zhang Alan Marshall Linning Peng Xianbin Wang	1
+	Explainability-based Backdoor Attacks Against Graph Neural Networks	2021	Jing Xu Minhui Xue Stjepan Picek	1
+ PDF Chat	A survey on graph-based deep learning for computational histopathology	2021	David Ahmedt‐Aristizabal Mohammad Ali Armin Simon Denman Clinton Fookes Lars Petersson	1
+ PDF Chat	Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa	2022	Guanxiong Shen Junqing Zhang Alan Marshall Joseph R. Cavallaro	1
+	Batch Active Learning at Scale	2021	Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar	1
+	Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models	2021	Xiao Zang Yi Xie Jie Chen Bo Yuan	1