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2020 – today
- 2024
[c132]Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu:
SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. ASPDAC 2024: 848-853- [c131]Boyu Wang, Yue Ma, Qinru Qiu:
Prompt-Based Domain Incremental Learning with Modular Classification Layer. ECAI 2024: 666-672 - [c130]Zifan Wang, Qinru Qiu, Fanxin Kong:
Pinpointing Actuator Attacks: A Novel Diagnostic Framework for Cyber-Physical Systems. ICAA 2024: 77-86 - [c129]Jiayang Liu, Yiming Bu, Daniel Tso, Qinru Qiu:
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling. ICLR 2024 - [i34]Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Qinru Qiu, Jian Tang:
SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. CoRR abs/2401.08957 (2024) - [i33]Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Xiaozhu Ju, Zhengping Che, Qinru Qiu, Chi Harold Liu, Jian Tang:
An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation. CoRR abs/2401.09258 (2024) - [i32]Mingyang Li, Yue Ma, Qinru Qiu:
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. CoRR abs/2401.13076 (2024) - [i31]Yiming Bu, Jiayang Liu, Qinru Qiu:
Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness. CoRR abs/2402.08936 (2024) - [i30]Qinwei Huang, Chen Luo, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu:
Multi-agent Cooperative Games Using Belief Map Assisted Training. CoRR abs/2406.19477 (2024) - [i29]Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Qinru Qiu, Jian Tang:
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. CoRR abs/2409.18707 (2024) - [i28]Rui Zuo, Zifan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu:
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks. CoRR abs/2411.16120 (2024) - [i27]Yue Ma, Huantao Ren, Boyu Wang, Jingang Jin, Senem Velipasalar, Qinru Qiu:
LVP-CLIP:Revisiting CLIP for Continual Learning with Label Vector Pool. CoRR abs/2412.05840 (2024) - [i26]Kun Wu, Yinuo Zhao, Zhiyuan Xu, Zhengping Che, Chengxiang Yin, Chi Harold Liu, Qinru Qiu, Feiferi Feng, Jian Tang:
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning. CoRR abs/2412.16848 (2024) - 2023
- [c128]Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu:
Multi-Agent Cooperative Games Using Belief Map Assisted Training. ECAI 2023: 1617-1624 - [c127]Zaidao Mei
, Boyu Wang, Daniel Patrick Rider, Qinru Qiu:
SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. ICONS 2023: 18:1-18:8 - [c126]Yiming Bu, Jiayang Liu, Qinru Qiu:
Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness. IGSC 2023: 22-28 - [c125]Zifan Wang, Lin Zhang, Qinru Qiu, Fanxin Kong:
Catch You if Pay Attention: Temporal Sensor Attack Diagnosis Using Attention Mechanisms for Cyber-Physical Systems. RTSS 2023: 64-77 - [c124]Mingyang Li, Yue Ma, Qinru Qiu:
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. SSCI 2023: 312-317 - [i25]Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu:
Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline. CoRR abs/2307.11314 (2023) - [i24]Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Qinru Qiu, Jian Tang:
Cross-Modal Reasoning with Event Correlation for Video Question Answering. CoRR abs/2312.12721 (2023) - 2022
- [j23]Yiran Chen, Qinru Qiu:
Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing. IEEE Trans. Computers 71(11): 2705-2706 (2022) - [c123]Yilan Li, Haowen Fang, Mingyang Li, Yue Ma, Qinru Qiu:
Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning. ASP-DAC 2022: 574-579 - [c122]Zaidao Mei, Mark Barnell, Qinru Qiu:
Unsupervised Adaptation of Spiking Networks in a Gradual Changing Environment. HPEC 2022: 1-7 - 2021
- [j22]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. ACM J. Emerg. Technol. Comput. Syst. 17(2): 18:1-18:2 (2021) - [j21]Yiran Chen, Qinru Qiu, Yingyan Lin:
Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. ACM J. Emerg. Technol. Comput. Syst. 17(4): 45:1-45:2 (2021) - [c121]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. DAC 2021: 361-366 - [c120]Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu:
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. DAC 2021: 367-372 - [c119]Chen Luo, Qinwei Huang, Fanxin Kong, Simon Khan, Qinru Qiu:
Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints. ICAR 2021: 356-363 - [c118]Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li:
1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. ISCAS 2021: 1-5 - [i23]Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu:
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. CoRR abs/2104.10712 (2021) - [i22]Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu:
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. CoRR abs/2105.03649 (2021) - 2020
- [j20]Qinru Qiu, David Atienza:
ISLPED 2020: An Experience of Virtual Conference during COVID-19 Time. IEEE Des. Test 37(6): 96-98 (2020) - [c117]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. AAAI 2020: 8336-8343 - [c116]Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang:
Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. ASP-DAC 2020: 494-499 - [c115]Ryan S. Luley, Qinru Qiu:
A Deep Q-Learning Approach for GPU Task Scheduling. HPEC 2020: 1-7 - [c114]Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu:
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. ICCAD 2020: 62:1-62:9 - [c113]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. ICPR 2020: 8275-8282 - [c112]Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. IJCAI 2020: 2799-2806 - [c111]Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. IJCNN 2020: 1-7 - [c110]Krittaphat Pugdeethosapol, Morgan Bishop, Dennis Bowen, Qinru Qiu:
Automatic Image Labeling with Click Supervision on Aerial Images. IJCNN 2020: 1-8 - [c109]Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu:
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. IJCNN 2020: 1-7 - [c108]Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu:
Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. IJCNN 2020: 1-8 - [e1]David Atienza Alonso, Qinru Qiu, Sherief Reda, Yiran Chen:
ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, Massachusetts, August 10-12, 2020. ACM 2020, ISBN 978-1-4503-7053-0 [contents] - [i21]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. CoRR abs/2001.02330 (2020) - [i20]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. CoRR abs/2001.05314 (2020) - [i19]Zhao Jin, Ziyi Zhao, Chen Luo, Franco Basti, Adrian Solomon, Mustafa Cenk Gursoy, Carlos Caicedo, Qinru Qiu:
Simulation of Real-time Routing for UAS traffic Management with Communication and Airspace Safety Considerations. CoRR abs/2002.11861 (2020) - [i18]Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu:
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. CoRR abs/2003.02944 (2020) - [i17]Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu:
Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. CoRR abs/2003.09785 (2020) - [i16]Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu:
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. CoRR abs/2003.11973 (2020) - [i15]Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu:
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. CoRR abs/2006.03776 (2020) - [i14]Haowen Fang, Amar Shrestha, Qinru Qiu:
Multivariate Time Series Classification Using Spiking Neural Networks. CoRR abs/2007.03547 (2020)
2010 – 2019
- 2019
- [j19]Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. 65: 395-403 (2019) - [j18]Zhongrui Wang, Can Li, Peng Lin, Mingyi Rao, Yongyang Nie, Wenhao Song, Qinru Qiu, Yunning Li, Peng Yan, John Paul Strachan, Ning Ge, Nathan McDonald, Qing Wu, Miao Hu, Huaqiang Wu, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang:
In situ training of feed-forward and recurrent convolutional memristor networks. Nat. Mach. Intell. 1(9): 434-442 (2019) - [j17]Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang:
HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(8): 1543-1556 (2019) - [c107]Yilan Li, Hossein Eslamiat, Ningshan Wang, Ziyi Zhao, Amit K. Sanyal, Qinru Qiu:
Autonomous waypoints planning and trajectory generation for multi-rotor UAVs. DESTION@CPSIoTWeek 2019: 31-40 - [c106]Hossein Eslamiat, Yilan Li, Ningshan Wang, Amit K. Sanyal, Qinru Qiu:
Autonomous Waypoint Planning, Optimal Trajectory Generation and Nonlinear Tracking Control for Multi-rotor UAVs. ECC 2019: 2695-2700 - [c105]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA 2019: 69-80 - [c104]Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu:
An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. ICCAD 2019: 1-8 - [c103]Zhe Li, Xiaolong Ma, Ji Li, Qinru Qiu, Yanzhi Wang:
Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. ICESS 2019: 1-8 - [c102]Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu:
Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. ICONS 2019: 10:1-10:8 - [c101]Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu:
A General Framework to Map Neural Networks onto Neuromorphic Processor. ISQED 2019: 20-25 - [c100]Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu:
Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. RTCSA 2019: 1-9 - [c99]Ziyi Zhao, Zhao Jin, Chen Luo, Haowen Fang, Franco Basti, Mustafa Cenk Gursoy, Carlos Caicedo, Qinru Qiu:
Temporal and Spatial Routing for Large Scale Safe and Connected UAS Traffic Management in Urban Areas. RTCSA 2019: 1-6 - [c98]Yilan Li, Mingyang Li, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu:
Autonomous UAV with Learned Trajectory Generation and Control. SiPS 2019: 115-120 - [i13]Ziyi Zhao, Chen Luo, Jin Zhao, Qinru Qiu, Mustafa Cenk Gursoy, Carlos Caicedo, Franco Basti:
A Simulation Framework for Fast Design Space Exploration of Unmanned Air System Traffic Management Policies. CoRR abs/1902.04035 (2019) - [i12]Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan:
CircConv: A Structured Convolution with Low Complexity. CoRR abs/1902.11268 (2019) - 2018
- [j16]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 782-795 (2018) - [j15]Qiuwen Chen, Ryan S. Luley, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu:
AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1622-1636 (2018) - [c97]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI 2018: 4235-4243 - [c96]Ryan S. Luley, Qinru Qiu:
Optimizing Data Transfers for Improved Performance on Shared GPUs Using Reinforcement Learning. CCGrid 2018: 378-381 - [c95]Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang:
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. FPGA 2018: 11-20 - [c94]Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang:
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. ICLR (Workshop) 2018 - [c93]Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu:
Learning Topics Using Semantic Locality. ICPR 2018: 3710-3715 - [c92]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. IJCNN 2018: 1-8 - [c91]Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. ISVLSI 2018: 28-33 - [i11]Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin:
Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR abs/1802.06402 (2018) - [i10]Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Yanzhi Wang, Qinru Qiu, Yun Liang:
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. CoRR abs/1803.06305 (2018) - [i9]Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang:
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. CoRR abs/1803.07661 (2018) - [i8]Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu:
Learning Topics using Semantic Locality. CoRR abs/1804.04205 (2018) - [i7]Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang:
Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing. CoRR abs/1805.04142 (2018) - [i6]Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu:
Scalable NoC-based Neuromorphic Hardware Learning and Inference. CoRR abs/1810.09233 (2018) - [i5]Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang:
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR abs/1812.07106 (2018) - 2017
- [c90]Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang:
Towards acceleration of deep convolutional neural networks using stochastic computing. ASP-DAC 2017: 115-120 - [c89]Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan:
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS 2017: 405-418 - [c88]Qiuwen Chen, Qinru Qiu:
Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor. DATE 2017: 205-207 - [c87]Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang:
Structural design optimization for deep convolutional neural networks using stochastic computing. DATE 2017: 250-253 - [c86]Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2017: 467-470 - [c85]Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan:
Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD 2017: 458-465 - [c84]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu:
A spike-based long short-term memory on a neurosynaptic processor. ICCAD 2017: 631-637 - [c83]Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. ICDCS 2017: 372-382 - [c82]Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang:
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN 2017: 1230-1236 - [c81]Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu:
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. IJCNN 2017: 1999-2006 - [c80]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 2017: 395-408 - [i4]Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang:
Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. CoRR abs/1703.04135 (2017) - [i3]Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang:
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. CoRR abs/1703.04221 (2017) - [i2]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR abs/1708.08917 (2017) - 2016
- [j14]Hai (Helen) Li, Qinru Qiu, Yu Wang:
Guest Editorial: Design and Applications of Neuromorphic Computing System. IEEE Trans. Multi Scale Comput. Syst. 2(4): 223-224 (2016) - [j13]Qinru Qiu, Zhe Li, Khadeer Ahmed, Wei Liu, Syed Faisal Habib, Hai (Helen) Li, Miao Hu:
A Neuromorphic Architecture for Context Aware Text Image Recognition. J. Signal Process. Syst. 84(3): 355-369 (2016) - [c79]Khadeer Ahmed, Qinru Qiu, Mangesh Tamhankar:
Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster. HPEC 2016: 1-7 - [c78]Zhe Li, Qinru Qiu, Mangesh Tamhankar:
Towards parallel implementation of associative inference for cogent confabulation. HPEC 2016: 1-6 - [c77]Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan:
DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. ICCD 2016: 678-681 - [c76]Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Designing reconfigurable large-scale deep learning systems using stochastic computing. ICRC 2016: 1-7 - [c75]Khadeer Ahmed, Amar Shrestha, Qinru Qiu:
Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. IJCNN 2016: 1044-1051 - [c74]Qiuwen Chen, Qinru Qiu:
Enhancing bidirectional association between deep image representations and loosely correlated texts. IJCNN 2016: 3164-3171 - [c73]Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu:
Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. IJCNN 2016: 4286-4293 - [c72]Ryan S. Luley, Qinru Qiu:
Effective Utilization of CUDA Hyper-Q for Improved Power and Performance Efficiency. IPDPS Workshops 2016: 1160-1169 - [c71]Jianwei Cui, Qinru Qiu:
Towards memristor based accelerator for sparse matrix vector multiplication. ISCAS 2016: 121-124 - [c70]Khadeer Ahmed, Amar Shrestha, Yanzhi Wang, Qinru Qiu:
System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference. ISVLSI 2016: 272-277 - [c69]Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan:
A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. SoCC 2016: 317-322 - [c68]Yilan Li, Zhe Li, Qinru Qiu:
Assisting fuzzy offline handwriting recognition using recurrent belief propagation. SSCI 2016: 1-8 - [i1]Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang:
SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. CoRR abs/1611.05939 (2016) - 2015
- [j12]Hao Shen, Qinru Qiu:
Chip Multiprocessor Performance Modeling for Contention Aware Task Migration and Frequency Scaling. J. Low Power Electron. 11(3): 263-277 (2015) - [c67]Beiye Liu, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu, Mark Barnell, Qinru Qiu:
Cloning your mind: security challenges in cognitive system designs and their solutions. DAC 2015: 95:1-95:5 - [c66]Sicheng Li, Chunpeng Wu, Hai Li, Boxun Li, Yu Wang, Qinru Qiu:
FPGA Acceleration of Recurrent Neural Network Based Language Model. FCCM 2015: 111-118 - [c65]Qiuwen Chen, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu:
Self-structured confabulation network for fast anomaly detection and reasoning. IJCNN 2015: 1-8 - [c64]Hai Li, Beiye Liu, Xiaoxiao Liu, Mengjie Mao, Yiran Chen, Qing Wu, Qinru Qiu:
The applications of memristor devices in next-generation cortical processor designs. ISCAS 2015: 17-20 - 2014
- [j11]Yang Ge, Yukan Zhang, Qinru Qiu:
Distributed Task Migration in a Homogeneous Many-Core System for Leakage and Fan Power Reduction. J. Low Power Electron. 10(4): 550-565 (2014) - [c63]Miao Hu, Yu Wang, Qinru Qiu, Yiran Chen, Hai Li:
The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design. ASP-DAC 2014: 831-836 - [c62]Qiuwen Chen, Qinru Qiu, Qing Wu, Morgan Bishop, Mark Barnell:
A confabulation model for abnormal vehicle events detection in wide-area traffic monitoring. CogSIMA 2014: 216-222 - [c61]Hao Shen, Qiuwen Chen, Qinru Qiu:
Battery aware stochastic QoS boosting in mobile computing devices. DATE 2014: 1-4 - [c60]Hao Shen, Qinru Qiu:
Contention aware frequency scaling on CMPs with guaranteed quality of service. DATE 2014: 1-6 - [c59]Yu Zheng, Koray Ozcan, Senem Velipasalar, Hao Shen, Qinru Qiu:
Energy Efficient Tracking by Dynamic Voltage and Frequency Scaling on Android Smart Phones. ICDSC 2014: 14:1-14:6 - [c58]Khadeer Ahmed, Qinru Qiu, Parth Malani, Mangesh Tamhankar:
Accelerating pattern matching in neuromorphic text recognition system using Intel Xeon Phi coprocessor. IJCNN 2014: 4272-4279 - [c57]Qing Wu, Beiye Liu, Yiran Chen, Hai Li, Qiuwen Chen, Qinru Qiu:
Bio-inspired computing with resistive memories - models, architectures and applications. ISCAS 2014: 834-837 - [c56]Qinru Qiu, Zhe Li, Khadeer Ahmed, Hai (Helen) Li, Miao Hu:
Neuromorphic acceleration for context aware text image recognition. SiPS 2014: 268-273 - 2013
- [j10]Qinru Qiu, Qing Wu, Morgan Bishop, Robinson E. Pino, Richard W. Linderman:
A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster. IEEE Trans. Computers 62(5): 886-899 (2013) - [j9]Hao Shen, Ying Tan, Jun Lu, Qing Wu, Qinru Qiu:
Achieving autonomous power management using reinforcement learning. ACM Trans. Design Autom. Electr. Syst. 18(2): 24:1-24:32 (2013) - [c55]Yang Ge, Yukan Zhang, Qinru Qiu:
Improving energy efficiency for energy harvesting embedded systems. ASP-DAC 2013: 497-502 - [c54]Yukan Zhang, Yang Ge, Qinru Qiu:
Improving charging efficiency with workload scheduling in energy harvesting embedded systems. DAC 2013: 57:1-57:8 - [c53]Hao Shen, Qinru Qiu:
User-aware energy efficient streaming strategy for smartphone based video playback applications. DATE 2013: 258-261 - [c52]Qiuwen Chen, Qinru Qiu, Hai Li, Qing Wu:
A neuromorphic architecture for anomaly detection in autonomous large-area traffic monitoring. ICCAD 2013: 202-205 - [p1]Dhireesha Kudithipudi, Qinru Qiu, Ayse K. Coskun:
Thermal Management in Many Core Systems. Evolutionary Based Solutions for Green Computing 2013: 161-185 - 2012
- [j8]Yang Ge, Yukan Zhang, Parth Malani, Qing Wu, Qinru Qiu:
Low Power Task Scheduling and Mapping for Applications with Conditional Branches on Heterogeneous Multi-Processor System. J. Low Power Electron. 8(5): 535-551 (2012) - [j7]Ayse Kivilcim Coskun, Yung-Hsiang Lu, Qinru Qiu:
Introduction to the special section on adaptive power management for energy and temperature-aware computing systems. ACM Trans. Design Autom. Electr. Syst. 18(1): 1:1-1:2 (2012) - [j6]Shaobo Liu, Jun Lu, Qing Wu, Qinru Qiu:
Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy. IEEE Trans. Very Large Scale Integr. Syst. 20(8): 1473-1486 (2012) - [j5]Yang Ge, Qinru Qiu, Qing Wu:
A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems. IEEE Trans. Very Large Scale Integr. Syst. 20(10): 1758-1771 (2012) - [c51]Fan Yang, Qinru Qiu, Morgan Bishop, Qing Wu:
Tag-assisted sentence confabulation for intelligent text recognition. CISDA 2012: 1-7 - [c50]Dhireesha Kudithipudi, Ayse K. Coskun, Sherief Reda, Qinru Qiu:
Temperature-aware computing: Achievements and remaining challenges. IGCC 2012: 1-3 - [c49]Yang Ge, Yukan Zhang, Qinru Qiu, Yung-Hsiang Lu:
A game theoretic resource allocation for overall energy minimization in mobile cloud computing system. ISLPED 2012: 279-284 - [c48]Hao Shen, Jun Lu, Qinru Qiu:
Learning based DVFS for simultaneous temperature, performance and energy management. ISQED 2012: 747-754 - [c47]Qinru Qiu:
A massive parallel neuromorphic computing model for intelligent text recognition. SoCC 2012: 293 - [r1]Jun Lu, Shaobo Liu, Qing Wu, Qinru Qiu:
Adaptive Power Management for Energy Harvesting Embedded Systems. Handbook of Energy-Aware and Green Computing 2012: 573-593 - 2011
- [j4]Yung-Hsiang Lu, Qinru Qiu, Ali Raza Butt, Kirk W. Cameron:
End-to-End Energy Management. Computer 44(11): 75-77 (2011) - [c46]Qinru Qiu, Qing Wu, Daniel J. Burns, Michael J. Moore, Robinson E. Pino, Morgan Bishop, Richard W. Linderman:
Confabulation based sentence completion for machine reading. CCMB 2011: 66-73 - [c45]Yang Ge, Qinru Qiu:
Dynamic thermal management for multimedia applications using machine learning. DAC 2011: 95-100 - [c44]Jun Lu, Qinru Qiu:
Scheduling and mapping of periodic tasks on multi-core embedded systems with energy harvesting. IGCC 2011: 1-6 - [c43]Hao Shen, Qinru Qiu:
An FPGA-Based Distributed Computing System with Power and Thermal Management Capabilities. ICCCN 2011: 1-6 - [c42]Qinru Qiu, Qing Wu, Richard W. Linderman:
Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform. IJCNN 2011: 1714-1721 - 2010
- [c41]Yang Ge, Parth Malani, Qinru Qiu:
Distributed task migration for thermal management in many-core systems. DAC 2010: 579-584 - [c40]Wei Liu, Ying Tan, Qinru Qiu:
Enhanced Q-learning algorithm for dynamic power management with performance constraint. DATE 2010: 602-605 - [c39]Yang Ge, Qinru Qiu:
Task allocation for minimum system power in a homogenous multi-core processor. Green Computing Conference 2010: 299-306 - [c38]Jun Lu, Shaobo Liu, Qing Wu, Qinru Qiu:
Accurate modeling and prediction of energy availability in energy harvesting real-time embedded systems. Green Computing Conference 2010: 469-476 - [c37]Shaobo Liu, Jun Lu, Qing Wu, Qinru Qiu:
Load-matching adaptive task scheduling for energy efficiency in energy harvesting real-time embedded systems. ISLPED 2010: 325-330 - [c36]Shaobo Liu, Jingyi Zhang, Qing Wu, Qinru Qiu:
Thermal-aware job allocation and scheduling for three dimensional chip multiprocessor. ISQED 2010: 390-398
2000 – 2009
- 2009
- [c35]Shaobo Liu, Qing Wu, Qinru Qiu:
An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems. DAC 2009: 782-787 - [c34]Ying Tan, Wei Liu, Qinru Qiu:
Adaptive power management using reinforcement learning. ICCAD 2009: 461-467 - 2008
- [c33]Ying Tan, Qinru Qiu:
A Framework of Stochastic Power Management Using Hidden Markov Model. DATE 2008: 92-97 - [c32]Shaobo Liu, Qinru Qiu, Qing Wu:
Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting. DATE 2008: 236-241 - [c31]Parth Malani, Prakash Mukre, Qinru Qiu, Qing Wu:
Adaptive Scheduling and Voltage Scaling for Multiprocessor Real-time Applications with Non-deterministic Workload. DATE 2008: 652-657 - [c30]Shaobo Liu, Qinru Qiu, Qing Wu:
Full-chip leakage current estimation based on statistical sampling techniques. ACM Great Lakes Symposium on VLSI 2008: 391-394 - [c29]Qing Wu, Prakash Mukre, Richard W. Linderman, Thomas Renz, Daniel J. Burns, Michael J. Moore, Qinru Qiu:
Performance optimization for pattern recognition using associative neural memory. ICME 2008: 1-4 - [c28]Qinru Qiu, Daniel J. Burns, Michael J. Moore, Richard W. Linderman, Thomas Renz, Qing Wu:
Accelerating cogent confabulation: An exploration in the architecture design space. IJCNN 2008: 1292-1300 - [c27]Shaobo Liu, Qinru Qiu, Qing Wu:
A probabilistic technique for full-chip leakage estimation. ISLPED 2008: 205-208 - [c26]Jingyi Zhang, Qing Wu, Qinru Qiu:
Bus encoding for simultaneous delay and energy optimization. ISLPED 2008: 209-212 - 2007
- [c25]Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre:
Hybrid Architecture for Accelerating DNA Codeword Library Searching. CIBCB 2007: 323-330 - [c24]Qing Wu, Qinru Qiu, Richard W. Linderman, Daniel J. Burns, Michael J. Moore, Dennis Fitzgerald:
Architectural Design and Complexity Analysis of Large-Scale Cortical Simulation on a Hybrid Computing Platform. CISDA 2007: 201-205 - [c23]Qinru Qiu, Ying Tan, Qing Wu:
Stochastic modeling and optimization for robust power management in a partially observable system. DATE 2007: 779-784 - [c22]Qinru Qiu, Prakash Mukre, Morgan Bishop, Daniel J. Burns, Qing Wu:
Hardware Acceleration for Thermodynamic Constrained DNA Code Generation. DNA 2007: 201-210 - [c21]Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu:
Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching. GECCO 2007: 1349-1356 - [c20]Parth Malani, Ying Tan, Qinru Qiu:
Resource-aware High Performance Scheduling for Embedded MPSoCs With the Application of MPEG Decoding. ICME 2007: 715-718 - [c19]Parth Malani, Prakash Mukre, Qinru Qiu:
Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach. ISCAS 2007: 2116-2119 - [c18]Parth Malani, Prakash Mukre, Qinru Qiu:
Power optimization for conditional task graphs in DVS enabled multiprocessor systems. VLSI-SoC 2007: 230-235 - 2006
- [c17]Ying Tan, Parth Malani, Qinru Qiu, Qing Wu:
Workload prediction and dynamic voltage scaling for MPEG decoding. ASP-DAC 2006: 911-916 - [c16]Avnish R. Brahmbhatt, Jingyi Zhang, Qing Wu, Qinru Qiu:
Low-power bus encoding using an adaptive hybrid algorithm. DAC 2006: 987-990 - [c15]Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer:
Distributed genetic algorithm for energy-efficient resource management in sensor networks. GECCO 2006: 1425-1426 - [c14]Shaobo Liu, Qinru Qiu, Qing Wu:
Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems. ICCD 2006: 397-404 - [c13]Avnish R. Brahmbhatt, Jingyi Zhang, Qinru Qiu, Qing Wu:
Adaptive low-power bus encoding based on weighted code mapping. ISCAS 2006 - [c12]Qing Wu, Jingyi Zhang, Qinru Qiu:
Design considerations for digital circuits using organic thin film transistors on a flexible substrate. ISCAS 2006 - [c11]Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer:
Lifetime aware resource management for sensor network using distributed genetic algorithm. ISLPED 2006: 191-196 - [c10]Bo Dong, Lin Xie, Peiliang Qiu, Qinru Qiu:
Low-Density Parity-Check Coded Distributed Space-Time Cooperative System. VTC Spring 2006: 2383-2387 - 2005
- [c9]Lin Xie, Peiliang Qiu, Qinru Qiu:
Partitioned bus coding for energy reduction. ASP-DAC 2005: 1280-1283 - 2004
- [c8]Hang Su, Peiliang Qiu, Qinru Qiu:
ESACW: an adaptive algorithm for transmission power reduction in wireless networks. ISLPED 2004: 82-85 - 2001
- [j3]Qing Wu, Qinru Qiu, Massoud Pedram:
Estimation of peak power dissipation in VLSI circuits using thelimiting distributions of extreme order statistics. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(8): 942-956 (2001) - [j2]Qinru Qiu, Qing Qu, Massoud Pedram:
Stochastic modeling of a power-managed system-construction andoptimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(10): 1200-1217 (2001) - [c7]Qinru Qiu, Qing Wu, Massoud Pedram:
Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service. DAC 2001: 834-839 - 2000
- [c6]Qing Wu, Qinru Qiu, Massoud Pedram:
An interleaved dual-battery power supply for battery-operated electronics. ASP-DAC 2000: 387-390 - [c5]Qinru Qiu, Qing Wu, Massoud Pedram:
Dynamic power management of complex systems using generalized stochastic Petri nets. DAC 2000: 352-356
1990 – 1999
- 1999
- [c4]Qinru Qiu, Massoud Pedram:
Dynamic Power Management Based on Continuous-Time Markov Decision Processes. DAC 1999: 555-561 - [c3]Qinru Qiu, Qing Wu, Massoud Pedram:
Stochastic modeling of a power-managed system: construction and optimization. ISLPED 1999: 194-199 - 1998
- [j1]Qing Wu, Qinru Qiu, Massoud Pedram, Chih-Shun Ding:
Cycle-accurate macro-models for RT-level power analysis. IEEE Trans. Very Large Scale Integr. Syst. 6(4): 520-528 (1998) - [c2]Qinru Qiu, Qing Wu, Massoud Pedram:
Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics. DAC 1998: 684-689 - 1997
- [c1]Qinru Qiu, Qing Wu, Massoud Pedram, Chih-Shun Ding:
Cycle-accurate macro-models for RT-level power analysis. ISLPED 1997: 125-130
Coauthor Index
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