PREFER: Precise Regional Forecasting via Intelligent and Rapid Harnessing

Publications


  • J. Lian, X. Yuan, J. Lou, L. Chen, H. Wang, and N.-F. Tzeng, "Room-Scale Location Trace Tracking via Continuous Acoustic Waves," accepted in February 2024 for publication in ACM Transactions on Sensor Networks. PDF (1,372 KB)

  • M. Moghadam, S. Aygun, S. Asadi, and M. H. Najafi, "Low-Cost and Highly-Efficient Bit-stream Generator for Stochastic Computing Division," accepted in February 2024 for publication in IEEE Transactions on Nanotechnology.

  • F. Qi, K. N. Smith, T. Lecompte, N.-F. Tzeng, X. Yuan, F. T. Chong, and L. Peng, "Quantum Vulnerability Analysis to Guide Robust Quantum Computing System Design," accepted for publication in IEEE Transactions on Quantum Engineering, 2023. Early Access. PDF (2,070 KB)

  • S. Javaherian, S. Panta, S. Williams, Md S. Islam, and L. Chen, "FedFair^3: Unlocking Threefold Fairness in Federated Learning," accepted for presentation at IEEE International Conference on Communications (ICC), June 2024.

  • A. Sultana, F. Xu, L. Chen, X. Yuan, and N.-F. Tzeng, "Hadar: Heterogeneity-Aware Optimization-Based Online Scheduling for Deep Learning Clusters," accepted in January 2024 for presentation at 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 2024. PDF (595 KB)

  • S. Liu, L. Chen, and Y. Fu, "Periscoping: Private Key Distribution for Large-Scale Mixnets," accepted for presentation at IEEE International Conference on Computer Communications (INFOCOM 2024), May 2024.

  • Md S. Islam, S. Javaherian, F. Xu, X. Yuan, L. Chen, and N.-F. Tzeng, "FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering," Poster Presentation at 38th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2024), May 2024.

  • S. Aygun, M. Moghadam, and M. H. Najafi, "uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing," accepted for presentation at 2024 Design, Automation, and Test in Europe (DATE'24), March 2024.

  • M. Moghadam, S. Aygun, M. Alam, and M. H. Najafi, "P2LSG: Powers-of-2 Low-Discrepancy Sequence Generator for Stochastic Computing," Proceedings of 29th Asia and South Pacific Design Automation Conference (ASP-DAC'24), January 2024.

  • S. Aygun, M. H. Najafi, L. Kouhalvandi, and E. Gunes, "Multiplexer Optimization for Adders in Stochastic Computing," Proceedings of 18th ACM International Symposium on Nanoscale Architectures (NANOARCH'23), December 2023.

  • M. Moghadam, S. Aygun, M. Alam, J. Schmidt, M. H. Najafi, and N. Taherinejad, "Accurate and Energy-Efficient Stochastic Computing with Van Der Corput Sequences," Proceedings of 18th ACM International Symposium on Nanoscale Architectures (NANOARCH'23), December 2023.

  • K. Givaki, A. Khonsari, M. H. Gholamrezaei, S. Gorgin, and M. H. Najafi, "A Generalized Residue Number System Design Approach for Ultra-Low Power Arithmetic Circuits Based on Deterministic Bit-streams," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 42, Issue 11, pp. 3787-3800, November 2023. November 2023. PDF (2,532 KB)

  • A. Ayar, A. Sahruri, S. Aygun, M. Moghadam, M. H. Najafi, and M. Margala, "Detecting Vulnerability in Hardware Description Languages: Opcode Language Processing," IEEE Embedded System Letters, November 2023.

  • J. Lou, X. Yuan, P. Sigdel, X. Qin, S. Kompella, and N.-F. Tzeng, "Age of Information Optimization in Multi-Channel based Multi-hop Wireless Networks," IEEE Transactions on Mobile Computing, Vol. 22, Issue 10, pp. 5719-5732, October 2023. PDF (924 KB)

  • S. Aygun, M. H. Najafi, M. Imani, and E. Gunes, "Agile Simulation of Stochastic Computing Image Processing with Contingency Tables," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 42, Issue 10, pp. 3474-3478, October 2023. PDF (10,748 KB)

  • F. Lin, S. Crawford, K. Guillot, Y. Zhang, Y. Chen, X. Yuan, L. Chen, S. William, R. Minvielle, X. Xiao, D. Gholson, N. Ashwell, T. Setiyono6, B. Tubana, L. Peng, M. Bayoumi, and N.-F. Tzeng, "MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer Comprehensive Transformer-based Model Architecture for Real-World Storm Prediction," Proceedings of International Conference on Computer Vision (ICCV 2023), pp. 5774-5784, October 2023. PDF (13,436 KB)

  • M. Moghadam, S. Aygun, and M. H. Najafi, "No-Multiplication Deterministic Hyperdimensional Encoding for Resource-Constrained Devices," IEEE Embedded System Letters, September 2023.

  • S. Aygun, L. Kouhalvandi, M. H. Najafi, S. Ozoguz, and E. Gunes, "Hardware-Software Co-optimization of Long-Latency Stochastic Computing," IEEE Embedded System Letters, September 2023

  • F. Lin, Y. Zhang, L. Chen, L. Peng, P. Sigdel, X. Yuan, and N.-F. Tzeng, "Comprehensive Transformer-based Model Architecture for Real-World Storm Prediction," Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023), pp. 54-71, September 2023. PDF (556 KB)

  • M. Moghadam, S. Aygun and M. H. Najafi, "No-Multiplication Deterministic Hyperdimensional Encoding for Resource-Constrained Devices," Proceedings of 2023 International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES'23), September 2023.

  • S. Aygun, L. Kouhalvandi, M. H. Najafi, S. Ozoguz, and E. Gunes, "Hardware-Software Co-optimization of Long-Latency Stochastic Computing," Proceedings of 2023 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS'23), September 2023

  • T. Lecompte, F. Qi, X. Yuan, N.-F. Tzeng, M. H. Najafi, and L. Peng, "Machine Learning-Based Qubit Allocation for Error Reduction in Quantum Circuits," IEEE Transactions on Quantum Engineering, Vol. 4, August 2023. PDF (3,533 KB)

  • G. Yan, H. Wang, X. Yuan, and J. Li, "CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning," Proceedings of 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2023), August 2023. PDF (2301 KB)

  • J. Lou, X. Yuan, M. Pan, H. Wang, and N.-F. Tzeng, "Data Privacy Examination against Semi-Supervised Learning," Proceedings of 18th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2023), July 2023. PDF (1,755 KB)

  • J. Lou, X. Zhang, Y. Zhang, X. Li, X. Yuan, and N. Zhang, "Devils in Your Apps: Vulnerabilities and User Privacy Exposure in Mobile Notification Systems," Proceedings of 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2023), June 2023. PDF (441 KB) [Best Paper Award] and [Distinguished Paper Award]

  • J. Jarachanthan, L. Chen, and F. Xu, "ACTS: Autonomous Cost-Efficient Task Orchestration for Serverless Analytics," Proceedings of 31st IEEE/ACM International Symposium on Quality of Service (IWQoS 2023), June 2023. PDF (630 KB)

  • R. Shang, F. Xu, Z. Bai, L. Chen, Z. Zhou, and F. Liu, "spotDNN: Provisioning Spot Instances for Predictable Distributed DNN Training in the Cloud," Proceedings of 31st IEEE/ACM International Symposium on Quality of Service (IWQoS 2023), June 2023. PDF (861 KB)

  • S. Aygun, M. H. Najafi, M. Imani, and E. O. Gunes, "Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines," Proceedings of 33rd Great Lakes Symposium on VLSI (GLSVLSI), June 2023. PDF (2,236 KB) [Best Paper Award]

  • T. LeCompte, F. Qi, X. Yuan, N.-F. Tzeng, M. H. Najafi, and L. Peng, "Graph Neural Network Assisted Quantum Compilation for Qubit Allocation," Proceedings of 33rd Great Lakes Symposium on VLSI (GLSVLSI), June 2023. PDF (420 KB)

  • S. Aygun, M. H. Najafi, M. Imani, and E. O. Gunes, "Reconvergent Pathaware Simulation of Bit-stream Processing," Proceedings of 33rd Great Lakes Symposium on VLSI (GLSVLSI), June 2023. PDF (535 KB)

  • M. Alam, M. H. Najafi, N. Taherinejad, M. Imani, and L. Peng, "Stochastic Computing for Reliable Memristive In-Memory Computation," Proceedings of 33rd Great Lakes Symposium on VLSI (GLSVLSI), June 2023. PDF (972 KB)

  • S. Aygun, M. H. Najafi, and M. Imani, "A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding," Proceedings of 2023 Design, Automation, and Test in Europe (DATE '23), April 2023. PDF (470 KB)

  • B. Prince, M. H. Najafi, and B. Li, "Scalable Low-Cost Sorting Network with Weighted Bit-Streams," Proceedings of 24th International Symposium on Quality Electronic Design (ISQED '23), April 2023. PDF (418 kB)

  • F. Xu, J. Xu, J. Chen, L. Chen, R. Shang, Z. Zhou, F. Liu, "Gniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud," IEEE Transactions on Parallel and Distributed Systems, Vol. 34, Issue 3, pp. 812-827, March 2023, PDF (2,000 KB).

  • P. Schober, S. Estiri, S. Aygun, A. Jalilvand, M. H. Najafi, and N. TaheriNejad, "Stochastic Computing Design and Implementation of a Sound Source Localization System," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 13, No. 1, pp. 295-311, March 2023, PDF (3,055 KB)

  • G. Yan, H. Wang, X. Yuan, and J. Li, "DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness," Proceedings of 37th AAAI Conference on Artificial Intelligence (AAAI-23), February 2023. PDF (505 KB)

  • A. Sultana, M. Haque, L. Chen, F. Xu, and X. Yuan, "Eiffel: Efficient and Fair Scheduling in Adaptive Federated Learning," IEEE Transactions on Parallel and Distributed Systems, Vol. 33, issue 12, pp. 4282-4294, December 2022, PDF (1,095 KB).

  • J. Jarachanthan, L. Chen, F. Xu, and B. Li, "Astrea: Auto-Serverless Analytics towards Cost-Efficiency and QoS-Awareness," IEEE Transactions on Parallel and Distributed Systems, Vol. 33, No. 12, pp. 3833-3849, December 2022, PDF (3,044 KB).

  • S. Zobaed, A. Mokhtari, J. Champati, M. Kourouma, M. Salehi, "Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge," Proceedings of 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC '22), December 2022. PDF (1,099 KB)

  • P. Schober, S. N. Estiri, S. Aygun, N. TaheriNejad, and M. H. Najafi, "Sound Source Localization using Stochastic Computing," Proceedings of 41st IEEE/ACM International Conference on Computer-Aided Design (ICCAD '22), November 2022. PDF (534 KB)

  • C. Zhang, X. Gu, U. Bhandari, J. Lei, S. Guo, M. Kourouma et al., "Machine Learning Prediction of the Mechanical Properties of Refractory Multicomponent Alloys Based on a Dataset of Phase and First Principles Simulation," Frontiers: Metals and Alloys, November 2022. PDF (3,356 KB)

  • M. Alam, M. H. Najafi, and N. TaheriNejad, "Sorting in Memristive Memory," ACM Journal on Emerging Technologies in Computing Systems, Vol. 18, Issue 4, Article No. 69, pp. 1-21, October 2022, PDF (1,475 KB).

  • F. Lin, X. Yuan, L. Peng, and N.-F. Tzeng, “Cascade Variational Auto-Encoder for Hierarchical Disentanglement,” Proceedings of 31st ACM International Conference on Information and Knowledge Management (CIKM), October 2022, pp. 1-10. PDF (6,170 KB).

  • H. Chen, M. H. Najafi, E. Sadredini, and M. Imani, "Full Stack Parallel Online Hyperdimensional Regression on FPGA," Proceedings of 2022 IEEE International Conference on Computer Design (ICCD '22), October 2022. PDF (1,866 KB).

  • S. N. Estiri, A. H. Jalilvand, S. Naderi, M. H. Najafi, and M. Fazeli, "A Low-Cost Stochastic Computing-based Fuzzy Filtering for Image Noise Reduction," Proceedings of 13 International Green and Sustainable Computing Conference (IGSC '23), October 2022. PDF (1,375 KB).

  • T. LeCompte, L. Peng, X. Yuan, and N.-F. Tzeng, "Protecting Synchronization Mechanisms of Parallel Big Data Kernels via Logging," IEEE Transactions on Computers, Vol. 71, No. 9, pp. 2156 - 2162, September 2022, PDF (1,820 KB).

  • Z. Zou, H. Alimohamadi, Y. Kim, M. H. Najafi, T. Givargis, N. Srinivasa, and M. Imani, "EventHD: Robust and Efficient Hyperdimensional Learning with Neuromorphic Sensor," Frontiers in Neuroscience, July 2022. PDF (2,020 KB).

  • A. Jalilvand, S. Estiri, S. Naderi, M. H. Najafi, and M. Imani, "A Fast and Low-Cost Comparison-Free Sorting Engine with Unary Computing," Proceedings of 2022 IEEE Design Automation Conference (DAC '22), July 2022. PDF (1,199 KB).

  • M. Alam, M. H. Najafi, and N. TaheriNejad, "Median Filtering in Memristive Memory," Proceedings of In-Memory Architectures and Computing Applications Workshop (iMACAW '22), Co-Located with DAC '22, July 2022.

  • P. Schober, M. H. Najafi, and N. TaheriNejad, "High-Accuracy Multiply-Accumulate (MAC) Technique for Unary Stochastic Computing," IEEE Transactions on Computers, Vol. 71, No. 6, pp. 1425-1439, June 2022. PDF (1,690 KB).

  • M. Imani, Z. Zou, H. Alimohamadi, A. Zakeri, F. Imani, Y. Kim, and M. H. Najafi, "Memory-Inspired Spiking Hyperdimensional Network for Robust Online Learning," Nature Scientific Reports, May 2022. PDF (1,872 KB).

  • M. Alam, M. H. Najafi, N. TaheriNejad, M. Imani, and R. Gottumukkala, "Stochastic Computing in Beyond Von-Neumann Era: Processing Bit-Streams in Memristive Memory," IEEE Transactions on Circuits and Systems II, Vol. 69, No. 5, pp. 2423-2427, May 2022. PDF (822 KB).

  • L. Chen, S. Liu, and B. Li, "Optimizing Network Transfers for Data Analytic Jobs across Geo-Distributed Datacenters," IEEE Transactions on Parallel and Distributed Systems, Vol. 33, No. 2, pp. 403-414, February 2022. PDF (1,417 KB).

  • P. Poduval, H. Alimohamadi, A. Zakeri, F. Imani, M. H. Najafi, T. Givargis, and M. Imani, "GrapHD: Graph-Based Hyperdimensional Memorization for Brain-Like Cognitive Learning," Frontiers in Neuroscience. February 2022. PDF (3,719 KB).

  • K. Givaki, R. Hojabr, M. H. Gholamrezaei, A. Khonsari, S. Gorgin, D. Rahmati, and M. H. Najafi, “High Performance Deterministic Stochastic Computing Using Residue Number System,” IEEE Design & Test, Vol. 38, No. 6, pp. 60-68, December 2021. PDF (1,117 KB).

  • M. R, Alam, M. H. Najafi, and N. TaheriNejad, “Exact Stochastic Computing Multiplication in Memristive Memory,” IEEE Design & Test, Vol. 38, No. 6, pp. 36-43, December 2021. PDF (731 KB).

  • Y. Zhang, X. Yuan, and N.-F. Tzeng, “Platform-Oblivious Anti-Spam Gateway,” Proceedings of 37th Annual Computer Security Applications Conference (ACSAC), December 2021, pp. 1064-1077. PDF (1,840 KB).

  • P. Poduval, Z. Zhou, M. H. Najafi, H. Homayoun, and M. Imani, "StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data," Proceedings of 58th ACM/IEEE Design Automation Conference (DAC), December 2021, pp. 1195-1200. PDF (7,984 KB).

  • Y. Zhang, J. Lou, L. Chen, J. Li, N.-F. Tzeng, and X. Yuan, “Reverse Attack: Black-box Attacks on Collaborative Recommendation,” Proceedings of ACM Conference on Computer and Communications Security (CCS 2021), November 2021, pp. 51-68. PDF (14,360 KB).

  • P. Poduval, M. Issa, F. Imani, M. H. Najafi, and M. Imani, “Robust In-Memory Computing with Hyperdimentional Stochastic Representation,” Proceedings of 16th IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH 2021), November 2021. PDF (2,934 KB).

  • S. Asadi, M. H. Najafi, and M. Imani, "CORLD: In-Stream Correlation Manipulation for Low-Discrepancy Stochastic Computing," Proceedings of 40th IEEE/ACM International Conference on Computer-Aided Design (ICCAD), November 2021. PDF (1,619 KB).

  • P. Srinuan, P. Sigdel, L. Peng, X. Yuan, P. Darby, C. Aucoin, and N.-F. Tzeng, “GPU-Assisted Memory Expansion,” Proceedings of 15th International Conference on Networking, Architecture, and Storage (NAS 2021), October 2021, pp. 132-139. PDF (280 KB).

  • J. Lian, X. Yuan, M. Li, and N.-F. Tzeng, “Fall Detection via Inaudible Acoustic Sensing,” ACM Journal Series, Proceedings of ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 5, No. 3, pp. 114:1 - 114:21, September 2021. PDF (938 KB).

  • J. Lian, J. Lou, L. Chen, and X. Yuan, “EchoSpot: Spotting Your Locations via Acoustic Sensing,” ACM Journal Series, Proceedings of ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 5, No. 3, pp. 113:1 - 113:21, September 2021. PDF (1,286 KB).

  • Y. Zhang, X. Yuan, S. Kimball, E. Rappin, L. Chen, P. Darby, T. Johnsten, L. Peng, B. Pitre, D. Bourrie, and N.-F. Tzeng, "Precise Weather Parameter Predictions for Target Regions via Neural Networks," Applied Data Science Track, Proceedings of 2021 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), September 2021, Lecture Notes in Computer Science, Springer, vol. 12979, pp. 151 - 167. doi.org/10.1007/978-3-030-86517-7_10, PDF (755 KB).

  • Y. He, F. Lin, X. Yuan, and N.-F. Tzeng, “Interpretable Minority Synthesis for Imbalanced Classification,” Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), August 2021, pp. 2542-2548. PDF (250 KB).

  • J. Jarachanthan, L. Chen, F. Xu, and B. Li, "AMPS-Inf: Automatic Model Partitioning for Serverless Inference with Cost Efficiency," Proceedings of the 50th International Conference on Parallel Processing (ICPP 2021), August 2021, Article No. 14, pp. 1-12. PDF (1,010 KB).

  • Z. Zhang, Q. Qi, R. Shang, L. Chen, and F. Xu, "Prophet: Speeding up Distributed DNN Training with Predictable Communication Scheduling," Proceedings of the 50th International Conference on Parallel Processing (ICPP 2021), August 2021. PDF (1,480 KB).

  • H. Lan, L. Chen, and B. Li, "Accelerated Device Placement Optimization with Contrastive Learning," Proceedings of the 50th International Conference on Parallel Processing (ICPP 2021), August 2021. PDF (2,036 KB).

  • J. Lou, X. Yuan, S. Kompella, and N.-F. Tzeng, “Boosting or Hindering: AoI and Throughput Interrelation in Routing-aware Multi-hop Wireless Networks,” IEEE/ACM Transactions on Networking, Vol. 29, No. 3, pp. 1008-1021, June 2021, PDF (2,085 KB).

  • S. Asadi, M. H. Najafi, and M. Imani, “A Low-Cost FSM-based Bit-Stream Generator for Low-Discrepancy Stochastic Computing,” Proceedings of 2021 Design, Automation, and Test in Europe (DATE), February 2021. PDF (1,010 KB).

  • Z. Zou, Y. Kim, M. H. Najafi, and M. Imani, “ManiHD: Efficient Hyper-Dimensional Learning Using Manifold Trainable Encoder,” Proceedings of 2021 Design, Automation, and Test in Europe (DATE), February 2021. PDF (526 KB).

  • S. Irving, L. Peng, C. Busch, and J.-K. Peir,, “BifurKTM: Approximately Consistent Distributed Transactional Memory for GPUs,” Proceedings of PARMA-DITAM (in conjunction with European Network on High-Performance Embedded Architecture and Compilation), January 2021.


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