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ORCIDIEEE Transactions on Emerging Topics in Computing, Volume 12
Volume 12, Number 1, January - March 2024
- Alberto Bosio
, Ronald F. DeMara, Deliang Fan, Nima TaheriNejad:
Guest Editorial IEEE Transactions on Emerging Topics in Special Section on Emerging In-Memory Computing Architectures and Applications. 4-6 - Ben Perach, Ronny Ronen, Benny Kimelfeld, Shahar Kvatinsky:
Understanding Bulk-Bitwise Processing In-Memory Through Database Analytics. 7-22 - Yandong Luo, Johan Vanderhaegen, Oleg Rybakov, Martin Kraemer, Niel Warren, Shimeng Yu:
A FeFET-Based ADC Offset Robust Compute-In-Memory Architecture for Streaming Keyword Spotting (KWS). 23-34 - Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy:
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. 35-47 - Khakim Akhunov, Kasim Sinan Yildirim:
CRAM-Based Acceleration for Intermittent Computing of Parallelizable Tasks. 48-59 - Purab Ranjan Sutradhar, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly:
3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications. 60-72 - Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi:
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. 73-83 - Yiming Chen, Mingyen Lee, Guohao Dai, Mufeng Zhou, Nagadastagiri Challapalle, Tianyi Wang, Yao Yu, Yongpan Liu, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li:
GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility. 84-96 - Jia-Le Cui, Yanan Guo, Juntong Chen, Bo Liu, Hao Cai:
Sparsity-Oriented MRAM-Centric Computing for Efficient Neural Network Inference. 97-108 - Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason K. Eshraghian, Wei D. Lu:
Side-Channel Attack Analysis on In-Memory Computing Architectures. 109-121 - Alessandro D'Amelio, Jianyi Lin, Jean-Yves Ramel, Raffaella Lanzarotti:
Guest Editorial Emerging Trends and Advances in Graph-Based Methods and Applications. 122-125 - Meixia He, Jianrui Chen, Maoguo Gong, Zhongshi Shao:
HDGCN: Dual-Channel Graph Convolutional Network With Higher-Order Information for Robust Feature Learning. 126-138 - Xiaolin Li, Qikui Xu, Zhenyu Xu, Hongyan Zhang, Li Xu:
Graph Reconfigurable Pooling for Graph Representation Learning. 139-149 - Yong-Min Shin, Cong Tran, Won-Yong Shin, Xin Cao:
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes. 150-162 - Bo-Wei Zhao, Lei Wang, Pengwei Hu, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu:
Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning. 163-176 - Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo:
Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. 177-189 - Binon Teji, Swarup Roy, Devendra Singh Dhami, Dinabandhu Bhandari, Pietro Hiram Guzzi:
Graph Embedding Techniques for Predicting Missing Links in Biological Networks: An Empirical Evaluation. 190-201 - Benjamin Filtjens, Bart Vanrumste, Peter Slaets:
Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks. 202-212 - Federico Becattini, Federico Maria Teotini, Alberto Del Bimbo:
Transformer-Based Graph Neural Networks for Outfit Generation. 213-223 - Alejandro Álvarez-Ayllón, Manuel Palomo-Duarte, Juan Manuel Dodero:
PresQ: Discovery of Multidimensional Equally-Distributed Dependencies via Quasi-Cliques on Hypergraphs. 224-239 - Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You:
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. 240-253 - Dongbo Zhou, Hongwei Yu, Jie Yu, Shuai Zhao, Wenhui Xu, Qianqian Li, Fengyin Cai:
MFDS-STGCN: Predicting the Behaviors of College Students With Fine-Grained Spatial-Temporal Activities Data. 254-265 - Jinguang Han, Patrick Schaumont, Willy Susilo:
Guest Editorial IEEE Transactions on Emerging Topics in Computing Special Section on Advances in Emerging Privacy-Preserving Computing. 266-268 - Aditya Pribadi Kalapaaking, Ibrahim Khalil, Xun Yi:
Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems. 269-280 - Yaoqi Yang, Bangning Zhang, Daoxing Guo, Renhui Xu, Chunhua Su, Weizheng Wang:
Age of Information Optimization for Privacy-Preserving Mobile Crowdsensing. 281-292 - Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi:
Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection. 293-306 - Fangwei Wang, Meiyun Xie, Zhiyuan Tan, Qingru Li, Changguang Wang:
Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. 307-315 - Yue Zhang, Youwen Zhu, Yuqian Zhou, Jiabin Yuan:
Frequency Estimation Mechanisms Under ϵδ-Utility-Optimized Local Differential Privacy. 316-327 - Kyung Hyun Han, Wai-Kong Lee, Angshuman Karmakar, Jose Maria Bermudo Mera, Seong Oun Hwang:
cuFE: High Performance Privacy Preserving Support Vector Machine With Inner-Product Functional Encryption. 328-343 - Supriya Adhikary, Angshuman Karmakar:
A Fast RLWE-Based IPFE Library and its Application to Privacy-Preserving Biometric Authentication. 344-356 - Irina Arévalo, Jose L. Salmeron:
A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets. 357-367 - Abdul Majeed, Safiullah Khan, Seong Oun Hwang:
Towards Optimization of Privacy-Utility Trade-Off Using Similarity and Diversity Based Clustering. 368-385 - Mathias Brossard, Guilhem Bryant, Basma El Gaabouri, Xinxin Fan, Alexandre Ferreira, Edmund Grimley-Evans, Christopher Haster, Evan Johnson, Derek Miller, Fan Mo, Dominic P. Mulligan, Nick Spinale, Eric Van Hensbergen, Hugo J. M. Vincent, Shale Xiong:
Private Delegated Computations Using Strong Isolation. 386-398
Volume 12, Number 2, April - June 2024
- Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo:
Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications. 402 - Yuyao Wang, Jie Cao, Zhan Bu, Mingming Leng:
Temporal Dual-Attributed Network Generation Oriented Community Detection Model. 403-418 - Guan Wang, Weihua Li, Quan Bai, Edmund M.-K. Lai:
Maximizing Social Influence With Minimum Information Alteration. 419-431 - Jin Fan, Zehao Wang, Danfeng Sun, Huifeng Wu:
Sepformer-Based Models: More Efficient Models for Long Sequence Time-Series Forecasting. 432-443 - Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Raeed Al-Sabri, Tengfei Lyu, Ji Zhang, Zhao Li:
CommGNAS: Unsupervised Graph Neural Architecture Search for Community Detection. 444-454 - Shengwei Ji, Chenyang Bu, Lei Li, Xindong Wu:
LocalTGEP: A Lightweight Edge Partitioner for Time-Varying Graph. 455-466 - Libing Wu, Youhua Xia, Shuwen Min, Zhenchang Xia:
Deep Attentive Interest Collaborative Filtering for Recommender Systems. 467-481 - Gang Qu, Debdeep Mukhopadhyay, Nele Mentens, Weiqiang Liu:
Special Section on Emerging Topics in Hardware Computing Systems Security. 482 - Thien Duc Nguyen, Markus Miettinen, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Ivan Visconti:
Digital Contact Tracing Solutions: Promises, Pitfalls and Challenges. 483-495 - Pantea Kiaei, Yuan Yao, Zhenyuan Liu, Nicole Fern, Cees-Bart Breunesse, Jasper Van Woudenberg, Kate Gillis, Alex Dich, Peter Grossmann, Patrick Schaumont:
Gate-Level Side-Channel Leakage Ranking With Architecture Correlation Analysis. 496-507 - Nojan Sheybani, Xinqiao Zhang, Siam Umar Hussain, Farinaz Koushanfar:
SenseHash: Computing on Sensor Values Mystified at the Origin. 508-520 - Stefano Longari, Alessandro Pozone, Jessica Leoni, Mario Polino, Michele Carminati, Mara Tanelli, Stefano Zanero:
CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment. 521-531 - Huifeng Zhu, Xiaolong Guo, Yier Jin, Xuan Zhang:
PowerScout: Security-Oriented Power Delivery Network Modeling for Side-Channel Vulnerability Analysis. 532-545 - Lichao Wu, Guilherme Perin, Stjepan Picek:
I Choose You: Automated Hyperparameter Tuning for Deep Learning-Based Side-Channel Analysis. 546-557 - Francesco Flammini, Cristina Alcaraz:
Guest Editorial Navigating the Nexus of Cyber Security and Resilience. 558 - Joseph Callenes, Majid Poshtan:
Dynamic Reconfiguration for Resilient State Estimation Against Cyber Attacks. 559-571 - Nelson L. Santos, Bogdan Ghita, Giovanni Luca Masala:
Medical Systems Data Security and Biometric Authentication in Public Cloud Servers. 572-582 - Eduardo Alvarenga, Jan R. Brands, Peter Doliwa, Jerry den Hartog, Erik Kraft, Marcel Medwed, Ventzislav Nikov, Joost Renes, Martin Rosso, Tobias Schneider, Nikita Veshchikov:
Cyber Resilience for the Internet of Things: Implementations With Resilience Engines and Attack Classifications. 583-600 - Francesco Flammini, Cristina Alcaraz, Emanuele Bellini, Stefano Marrone, Javier López, Andrea Bondavalli:
Towards Trustworthy Autonomous Systems: Taxonomies and Future Perspectives. 601-614 - Emrah Tomur, Zeki Bilgin, Utku Gülen, Elif Ustundag Soykan, Leyli Karaçay, Ferhat Karakoç:
Intent-Based Security for Functional Safety in Cyber-Physical Systems. 615-630 - Valentina Casola, Alessandra De Benedictis, Carlo Mazzocca, Rebecca Montanari:
Designing Secure and Resilient Cyber-Physical Systems: A Model-Based Moving Target Defense Approach. 631-642 - Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Panagiotis D. Diamantoulakis, Thomas Lagkas, Theocharis Saoulidis, Eleftherios Fountoukidis, George K. Karagiannidis:
Strategic Honeypot Deployment in Ultra-Dense Beyond 5G Networks: A Reinforcement Learning Approach. 643-655 - Nicolas Brisebarre, Jean-Michel Muller, Joris Picot:
Error in Ulps of the Multiplication or Division by a Correctly-Rounded Function or Constant in Binary Floating-Point Arithmetic. 656-666 - Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani H. Saleh, Thanos Stouraitis:
A Multiplier-Free RNS-Based CNN Accelerator Exploiting Bit-Level Sparsity. 667-683
Volume 12, Number 3, July - September 2024
- Yuan-Hao Chang, Paloma Díaz, Yunpeng Xiao:
Special Section on Emerging Social Computing. 686-687 - Li Jia, Tinghuai Ma, Huan Rong, Najla Al-Nabhan:
Affective Region Recognition and Fusion Network for Target-Level Multimodal Sentiment Classification. 688-699 - Xiaojuan Yang, Jiaxing Shang, Qinghong Hu, Dajiang Liu:
ARIS: Efficient Admitted Influence Maximizing in Large-Scale Networks Based on Valid Path Reverse Influence Sampling. 700-714 - Fei Hao, Jie Gao, Yaguang Lin, Yulei Wu, Jiaxing Shang:
Concept Stability Entropy: A Novel Group Cohesion Measure in Social Networks. 715-726 - Aditi Seetha, Satyendra Singh Chouhan, Emmanuel S. Pilli, Vaskar Raychoudhury:
D$i$E$v$D: Disruptive Event Detection From Dynamic Datastreams Using Continual Machine Learning: A Case Study With Twitter. 727-738 - Mónica Sánchez-Francisco, Paloma Díaz, Teresa Onorati, Alvaro Montero Montes, Ignacio Aedo:
Designing Mobile Technologies to Encourage Civic Engagement: The Role of Situated Motivational Affordances. 739-751 - Mingliang Hou, Tao Tang, Feng Xia, Ibrahim A. Sultan, Roopdeep Kaur, Xiangjie Kong:
MissII: Missing Information Imputation for Traffic Data. 752-765 - Kumari Jyoti, Mohit Kumar Gautam, Sanjay Kumar, Sai Sushma, Ram Bilas Pachori, Shaibal Mukherjee:
Memristive Crossbar Array-Based Computing Framework via DWT for Biomedical Image Enhancement. 766-779 - Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari:
Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. 780-794 - Zhaoxuan Dong, Aijiao Cui, Hao Lu:
Non-Invasive Reverse Engineering of One-Hot Finite State Machines Using Scan Dump Data. 795-809 - Fumio Machida:
Using Diversities to Model the Reliability of Two-Version Machine Learning Systems. 810-825 - Guangchao Zhao, Zhiwei Zeng, Xingli Wang, Abdelrahman G. Qoutb, Philippe Coquet, Eby G. Friedman, Beng Kang Tay, Mingqiang Huang:
Efficient Ternary Logic Circuits Optimized by Ternary Arithmetic Algorithms. 826-839 - Daniele Pretolesi, Davide Garbarino, Daniele Giampaoli, Andrea Vian, Annalisa Barla:
Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks. 840-851 - Boris Sedlak, Ilir Murturi, Praveen Kumar Donta, Schahram Dustdar:
A Privacy Enforcing Framework for Data Streams on the Edge. 852-863 - Bijay Raj Paudel, Spyros Tragoudas:
Memristive Crossbar Array-Based Adversarial Defense Using Compression. 864-877 - Chuan-Chi Lai, Hsuan-Yu Lin, Chuan-Ming Liu:
Distributed Indexing Schemes for K-Dominant Skyline Analytics on Uncertain Edge-IoT Data. 878-890 - Yu-Pang Wang, Weichen Wang, Yuan-Hao Chang, Chieh-Lin Tsai, Tei-Wei Kuo, Chun-Feng Wu, Chien-Chung Ho, Han-Wen Hu:
TCAM-GNN: A TCAM-Based Data Processing Strategy for GNN Over Sparse Graphs. 891-904 - Shekoofeh Moghimi, Mohammad Reza Reshadinezhad, Antonio Rubio:
Toward Designing High-Speed Cost-Efficient Quantum Reversible Carry Select Adders. 905-917 - Xuan-Qui Pham, Thien Huynh-The, Dong-Seong Kim:
Joint Partial Offloading and Resource Allocation for Parked Vehicle-Assisted Multi-Access Edge Computing. 918-923 - Zongjin Li, Jie Zhang, Jian Zhang, Ya Zheng, Xunjie Zong:
Integrated Edge Computing and Blockchain: A General Medical Data Sharing Framework. 924-937 - Jeongmin Lim, Young Geun Kim, Sung Woo Chung, Farinaz Koushanfar, Joonho Kong:
Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation. 938-951
Volume 12, Number 4, October - December 2024
- Ke Chen, Shanshan Liu, Weiqiang Liu, Fabrizio Lombardi, Nader Bagherzadeh:
Guest Editorial: Special Section on "Approximate Data Processing: Computing, Storage and Applications". 954-955 - Olivia Chen, Renyuan Zhang, Wenhui Luo, Yanzhi Wang, Nobuyuki Yoshikawa:
Extremely Energy-Efficient Non-Linear Function Approximation Framework Using Stochastic Superconductor Devices. 956-967 - Gennaro Di Meo, Gerardo Saggese, Antonio G. M. Strollo, Davide De Caro:
Approximate MAC Unit Using Static Segmentation. 968-979 - Huiyi Gu, Xiaotao Jia, Yuhao Liu, Jianlei Yang, Xueyan Wang, Youguang Zhang, Sorin Dan Cotofana, Weisheng Zhao:
CiM-BNN:Computing-in-MRAM Architecture for Stochastic Computing Based Bayesian Neural Network. 980-990 - Tingting Zhang, Zijing Niu, Jie Han:
A Design Framework for Hardware-Efficient Logarithmic Floating-Point Multipliers. 991-1001 - Zhen Gao, Jinhua Zhu, Pedro Reviriego:
Reliability Evaluation and Fault Tolerant Design for KLL Sketches. 1002-1013 - Van-Tuan Tran, Huy Hieu Pham, Kok-Seng Wong:
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning. 1014-1024 - Kai Di, Fulin Chen, Yuanshuang Jiang, Pan Li, Tianyi Liu, Yichuan Jiang:
Adaptive Task Migration in Multiplex Networked Industrial Chains. 1025-1039 - Luca Bertaccini, Gianna Paulin, Matheus A. Cavalcante, Tim Fischer, Stefan Mach, Luca Benini:
MiniFloats on RISC-V Cores: ISA Extensions With Mixed-Precision Short Dot Products. 1040-1055 - Alfonso Sánchez-Macián, Jorge Martínez, Pedro Reviriego, Shanshan Liu, Fabrizio Lombardi:
On the Privacy of the Count-Min Sketch: Extracting the Top-K Elements. 1056-1065 - Francesco Buccafurri, Gianluca Lax, Denis Migdal, Lorenzo Musarella, Christophe Rosenberger:
Combining Trust Graphs and Keystroke Dynamics to Counter Fake Identities in Social Networks. 1066-1078 - Konstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis, Jörg Henkel:
Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision Quantization. 1079-1092 - Nathaniel Hobbs, Periklis A. Papakonstantinou, Jaideep Vaidya:
Engravings, Secrets, and Interpretability of Neural Networks. 1093-1104 - Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang:
Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19. 1105-1116
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