Qinru Qiu
Orcid: 0000-0003-2546-0655
According to our database1,
Qinru Qiu
authored at least 161 papers
between 1998 and 2024.
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Bibliography
2024
Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness.
CoRR, 2024
An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation.
CoRR, 2024
SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation.
CoRR, 2024
2023
CoRR, 2023
Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline.
CoRR, 2023
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Catch You if Pay Attention: Temporal Sensor Attack Diagnosis Using Attention Mechanisms for Cyber-Physical Systems.
Proceedings of the IEEE Real-Time Systems Symposium, 2023
SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing.
IEEE Trans. Computers, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
2021
Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2.
ACM J. Emerg. Technol. Comput. Syst., 2021
Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1.
ACM J. Emerg. Technol. Comput. Syst., 2021
1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints.
Proceedings of the 20th International Conference on Advanced Robotics, 2021
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
IEEE Des. Test, 2020
Simulation of Real-time Routing for UAS traffic Management with Communication and Airspace Safety Considerations.
CoRR, 2020
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET.
CoRR, 2020
Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019
Nat. Mach. Intell., 2019
Normalization and dropout for stochastic computing-based deep convolutional neural networks.
Integr., 2019
A Simulation Framework for Fast Design Space Exploration of Unmanned Air System Traffic Management Policies.
CoRR, 2019
Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems, 2019
Temporal and Spatial Routing for Large Scale Safe and Connected UAS Traffic Management in Urban Areas.
Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019
Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019
Proceedings of the 20th International Symposium on Quality Electronic Design, 2019
Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks.
Proceedings of the International Conference on Neuromorphic Systems, 2019
Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization.
Proceedings of the 15th IEEE International Conference on Embedded Software and Systems, 2019
Proceedings of the International Conference on Computer-Aided Design, 2019
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019
Autonomous Waypoint Planning, Optimal Trajectory Generation and Nonlinear Tracking Control for Multi-rotor UAVs.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the Workshop on Design Automation for CPS and IoT, 2019
2018
AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams.
IEEE Trans. Neural Networks Learn. Syst., 2018
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018
Optimizing Data Transfers for Improved Performance on Shared GPUs Using Reinforcement Learning.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices.
CoRR, 2017
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices.
Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017
Structural design optimization for deep convolutional neural networks using stochastic computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing.
Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017
Towards acceleration of deep convolutional neural networks using stochastic computing.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017
2016
J. Signal Process. Syst., 2016
IEEE Trans. Multi Scale Comput. Syst., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars.
Proceedings of the 29th IEEE International System-on-Chip Conference, 2016
System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
Enhancing bidirectional association between deep image representations and loosely correlated texts.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Simulation of bayesian learning and inference on distributed stochastic spiking neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Designing reconfigurable large-scale deep learning systems using stochastic computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2016
DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016
Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster.
Proceedings of the 2016 IEEE High Performance Extreme Computing Conference, 2016
2015
Chip Multiprocessor Performance Modeling for Contention Aware Task Migration and Frequency Scaling.
J. Low Power Electron., 2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015
Cloning your mind: security challenges in cognitive system designs and their solutions.
Proceedings of the 52nd Annual Design Automation Conference, 2015
2014
Distributed Task Migration in a Homogeneous Many-Core System for Leakage and Fan Power Reduction.
J. Low Power Electron., 2014
Proceedings of the 2014 IEEE Workshop on Signal Processing Systems, 2014
Bio-inspired computing with resistive memories - models, architectures and applications.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
Accelerating pattern matching in neuromorphic text recognition system using Intel Xeon Phi coprocessor.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Energy Efficient Tracking by Dynamic Voltage and Frequency Scaling on Android Smart Phones.
Proceedings of the International Conference on Distributed Smart Cameras, 2014
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
A confabulation model for abnormal vehicle events detection in wide-area traffic monitoring.
Proceedings of the IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2014
The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014
2013
Proceedings of the Evolutionary Based Solutions for Green Computing, 2013
ACM Trans. Design Autom. Electr. Syst., 2013
A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster.
IEEE Trans. Computers, 2013
A neuromorphic architecture for anomaly detection in autonomous large-area traffic monitoring.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013
User-aware energy efficient streaming strategy for smartphone based video playback applications.
Proceedings of the Design, Automation and Test in Europe, 2013
Improving charging efficiency with workload scheduling in energy harvesting embedded systems.
Proceedings of the 50th Annual Design Automation Conference 2013, 2013
Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013
2012
Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012
IEEE Trans. Very Large Scale Integr. Syst., 2012
IEEE Trans. Very Large Scale Integr. Syst., 2012
Introduction to the special section on adaptive power management for energy and temperature-aware computing systems.
ACM Trans. Design Autom. Electr. Syst., 2012
Low Power Task Scheduling and Mapping for Applications with Conditional Branches on Heterogeneous Multi-Processor System.
J. Low Power Electron., 2012
Proceedings of the IEEE 25th International SOC Conference, 2012
Proceedings of the Thirteenth International Symposium on Quality Electronic Design, 2012
A game theoretic resource allocation for overall energy minimization in mobile cloud computing system.
Proceedings of the International Symposium on Low Power Electronics and Design, 2012
Proceedings of the 2012 International Green Computing Conference, 2012
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012
2011
Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
An FPGA-Based Distributed Computing System with Power and Thermal Management Capabilities.
Proceedings of 20th International Conference on Computer Communications and Networks, 2011
Scheduling and mapping of periodic tasks on multi-core embedded systems with energy harvesting.
Proceedings of the 2011 International Green Computing Conference and Workshops, 2011
Proceedings of the 48th Design Automation Conference, 2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011
2010
Thermal-aware job allocation and scheduling for three dimensional chip multiprocessor.
Proceedings of the 11th International Symposium on Quality of Electronic Design (ISQED 2010), 2010
Load-matching adaptive task scheduling for energy efficiency in energy harvesting real-time embedded systems.
Proceedings of the 2010 International Symposium on Low Power Electronics and Design, 2010
Accurate modeling and prediction of energy availability in energy harvesting real-time embedded systems.
Proceedings of the International Green Computing Conference 2010, 2010
Proceedings of the International Green Computing Conference 2010, 2010
Enhanced Q-learning algorithm for dynamic power management with performance constraint.
Proceedings of the Design, Automation and Test in Europe, 2010
Proceedings of the 47th Design Automation Conference, 2010
2009
Proceedings of the 2009 International Conference on Computer-Aided Design, 2009
An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems.
Proceedings of the 46th Design Automation Conference, 2009
2008
Proceedings of the 2008 International Symposium on Low Power Electronics and Design, 2008
Proceedings of the 2008 International Symposium on Low Power Electronics and Design, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Proceedings of the 18th ACM Great Lakes Symposium on VLSI 2008, 2008
Proceedings of the Design, Automation and Test in Europe, 2008
Adaptive Scheduling and Voltage Scaling for Multiprocessor Real-time Applications with Non-deterministic Workload.
Proceedings of the Design, Automation and Test in Europe, 2008
Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting.
Proceedings of the Design, Automation and Test in Europe, 2008
2007
Power optimization for conditional task graphs in DVS enabled multiprocessor systems.
Proceedings of the IFIP VLSI-SoC 2007, 2007
Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Resource-aware High Performance Scheduling for Embedded MPSoCs With the Application of MPEG Decoding.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the DNA Computing, 13th International Meeting on DNA Computing, 2007
Stochastic modeling and optimization for robust power management in a partially observable system.
Proceedings of the 2007 Design, Automation and Test in Europe Conference and Exposition, 2007
Architectural Design and Complexity Analysis of Large-Scale Cortical Simulation on a Hybrid Computing Platform.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, 2007
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
2006
Proceedings of the 63rd IEEE Vehicular Technology Conference, 2006
Lifetime aware resource management for sensor network using distributed genetic algorithm.
Proceedings of the 2006 International Symposium on Low Power Electronics and Design, 2006
Design considerations for digital circuits using organic thin film transistors on a flexible substrate.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems.
Proceedings of the 24th International Conference on Computer Design (ICCD 2006), 2006
Distributed genetic algorithm for energy-efficient resource management in sensor networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the 43rd Design Automation Conference, 2006
Proceedings of the 2006 Conference on Asia South Pacific Design Automation: ASP-DAC 2006, 2006
2005
Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005
2004
Proceedings of the 2004 International Symposium on Low Power Electronics and Design, 2004
2001
Estimation of peak power dissipation in VLSI circuits using thelimiting distributions of extreme order statistics.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001
Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service.
Proceedings of the 38th Design Automation Conference, 2001
2000
Proceedings of the 37th Conference on Design Automation, 2000
Proceedings of ASP-DAC 2000, 2000
1999
Proceedings of the 1999 International Symposium on Low Power Electronics and Design, 1999
Proceedings of the 36th Conference on Design Automation, 1999
1998
IEEE Trans. Very Large Scale Integr. Syst., 1998
Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics.
Proceedings of the 35th Conference on Design Automation, 1998