Qinru Qiu

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 104

Top Venues

Publications

Yiming Bu, Jiayang Liu, Qinru Qiu
Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness. CoRR (2024)
Mingyang Li, Yue Ma, Qinru Qiu
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. CoRR (2024)
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 (2024)
Jiayang Liu, Yiming Bu, Daniel Tso, Qinru Qiu
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling. ICLR (2024)
Qinwei Huang, Chen Luo, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu
Multi-agent Cooperative Games Using Belief Map Assisted Training. CoRR (2024)
Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu
SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. ASPDAC (2024)
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 (2024)
Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu
Multi-Agent Cooperative Games Using Belief Map Assisted Training. ECAI (2023)
Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Qinru Qiu, Jian Tang
Cross-Modal Reasoning with Event Correlation for Video Question Answering. CoRR (2023)
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)
Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu
Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline. CoRR (2023)
Zaidao Mei, Boyu Wang, Daniel Patrick Rider, Qinru Qiu
SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. ICONS (2023)
Yiming Bu, Jiayang Liu, Qinru Qiu
Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness. IGSC (2023)
Mingyang Li, Yue Ma, Qinru Qiu
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. SSCI (2023)
Yiran Chen, Qinru Qiu
Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing. IEEE Trans. Computers 71 (11) (2022)
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)
Zaidao Mei, Mark Barnell, Qinru Qiu
Unsupervised Adaptation of Spiking Networks in a Gradual Changing Environment. HPEC (2022)
Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. CoRR (2021)
Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. CoRR (2021)
Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. DAC (2021)
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) (2021)
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)
Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li
1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. ISCAS (2021)
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) (2021)
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)
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)
Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. IJCNN (2020)
Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. CoRR (2020)
Haowen Fang, Amar Shrestha, Qinru Qiu
Multivariate Time Series Classification Using Spiking Neural Networks. IJCNN (2020)
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)
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. ICPR (2020)
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 (2020)
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)
Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. CoRR (2020)
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 (2020)
Qinru Qiu, David Atienza
ISLPED 2020: An Experience of Virtual Conference during COVID-19 Time. IEEE Des. Test 37 (6) (2020)
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. CoRR (2020)
Ryan S. Luley, Qinru Qiu
A Deep Q-Learning Approach for GPU Task Scheduling. HPEC (2020)
Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan
Embedding Compression with Isotropic Iterative Quantization. CoRR (2020)
Haowen Fang, Amar Shrestha, Qinru Qiu
Multivariate Time Series Classification Using Spiking Neural Networks. CoRR (2020)
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)
Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan
Embedding Compression with Isotropic Iterative Quantization. AAAI (2020)
Krittaphat Pugdeethosapol, Morgan Bishop, Dennis Bowen, Qinru Qiu
Automatic Image Labeling with Click Supervision on Aerial Images. IJCNN (2020)
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. CoRR (2020)
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)
Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan
CircConv: A Structured Convolution with Low Complexity. CoRR (2019)
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) (2019)
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)
Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu
A General Framework to Map Neural Networks onto Neuromorphic Processor. ISQED (2019)
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)
Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu
Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. ICONS (2019)
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) (2019)
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)
Yilan Li, Mingyang Li, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu
Autonomous UAV with Learned Trajectory Generation and Control. SiPS (2019)
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 (2019)
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 (2019)
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)
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)
Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu
An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. ICCAD (2019)
Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu
Scalable NoC-based Neuromorphic Hardware Learning and Inference. IJCNN (2018)
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) (2018)
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)
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)
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)
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 (2018)
Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu
Learning Topics using Semantic Locality. CoRR (2018)
Ryan S. Luley, Qinru Qiu
Optimizing Data Transfers for Improved Performance on Shared GPUs Using Reinforcement Learning. CCGrid (2018)
Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. CoRR (2018)
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 (2018)
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 (2018)
Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu
Scalable NoC-based Neuromorphic Hardware Learning and Inference. CoRR (2018)
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 (2018)
Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang
Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. ICLR (Workshop) (2018)
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) (2018)
Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu
Learning Topics Using Semantic Locality. ICPR (2018)
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)
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)
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)
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)
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 (2017)
Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu
Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. IJCNN (2017)
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)
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)
Qiuwen Chen, Qinru Qiu
Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor. DATE (2017)
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 (2017)
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)
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)
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)
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 (2017)
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) (2016)
Khadeer Ahmed, Amar Shrestha, Qinru Qiu
Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. IJCNN (2016)
Hai (Helen) Li, Qinru Qiu, Yu Wang
Guest Editorial: Design and Applications of Neuromorphic Computing System. IEEE Trans. Multi Scale Comput. Syst. 2 (4) (2016)
Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan
Designing reconfigurable large-scale deep learning systems using stochastic computing. ICRC (2016)
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)
Khadeer Ahmed, Amar Shrestha, Yanzhi Wang, Qinru Qiu
System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference. ISVLSI (2016)
Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu
Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. IJCNN (2016)
Khadeer Ahmed, Qinru Qiu, Mangesh Tamhankar
Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster. HPEC (2016)
Jianwei Cui, Qinru Qiu
Towards memristor based accelerator for sparse matrix vector multiplication. ISCAS (2016)
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)
Ryan S. Luley, Qinru Qiu
Effective Utilization of CUDA Hyper-Q for Improved Power and Performance Efficiency. IPDPS Workshops (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qinru Qiu