Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics. - Qinru Qiu; Qing Wu 002; Massoud Pedram (DAC, 1998)

Cycle-accurate macro-models for RT-level power analysis. - Qing Wu 002; Qinru Qiu; Massoud Pedram; Chih-Shun Ding (IEEE Trans. Very Large Scale Integr. Syst., 1998)

Dynamic Power Management Based on Continuous-Time Markov Decision Processes. - Qinru Qiu; Massoud Pedram (DAC, 1999)

Stochastic modeling of a power-managed system: construction and optimization. - Qinru Qiu; Qing Wu 002; Massoud Pedram (ISLPED, 1999)

An interleaved dual-battery power supply for battery-operated electronics. - Qing Wu 002; Qinru Qiu; Massoud Pedram (ASP-DAC, 2000)

Dynamic power management of complex systems using generalized stochastic Petri nets. - Qinru Qiu; Qing Wu 002; Massoud Pedram (DAC, 2000)

Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service. - Qinru Qiu; Qing Wu 002; Massoud Pedram (DAC, 2001)

Stochastic modeling of a power-managed system-construction andoptimization. - Qinru Qiu; Qing Qu; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001)

Estimation of peak power dissipation in VLSI circuits using thelimiting distributions of extreme order statistics. - Qing Wu 002; Qinru Qiu; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2001)

ESACW: an adaptive algorithm for transmission power reduction in wireless networks. - Hang Su; Peiliang Qiu; Qinru Qiu (ISLPED, 2004)

Partitioned bus coding for energy reduction. - Lin Xie; Peiliang Qiu; Qinru Qiu (ASP-DAC, 2005)

Workload prediction and dynamic voltage scaling for MPEG decoding. - Ying Tan; Parth Malani; Qinru Qiu; Qing Wu 002 (ASP-DAC, 2006)

Low-power bus encoding using an adaptive hybrid algorithm. - Avnish R. Brahmbhatt; Jingyi Zhang; Qing Wu 002; Qinru Qiu (DAC, 2006)

Distributed genetic algorithm for energy-efficient resource management in sensor networks. - Qinru Qiu; Qing Wu 002; Daniel J. Burns; Douglas Holzhauer (GECCO, 2006)

Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems. - Shaobo Liu; Qinru Qiu; Qing Wu 002 (ICCD, 2006)

Adaptive low-power bus encoding based on weighted code mapping. - Avnish R. Brahmbhatt; Jingyi Zhang; Qinru Qiu; Qing Wu 002 (ISCAS, 2006)

Design considerations for digital circuits using organic thin film transistors on a flexible substrate. - Qing Wu 002; Jingyi Zhang; Qinru Qiu (ISCAS, 2006)

Lifetime aware resource management for sensor network using distributed genetic algorithm. - Qinru Qiu; Qing Wu 002; Daniel J. Burns; Douglas Holzhauer (ISLPED, 2006)

Low-Density Parity-Check Coded Distributed Space-Time Cooperative System. - Bo Dong; Lin Xie; Peiliang Qiu; Qinru Qiu (VTC Spring, 2006)

Hybrid Architecture for Accelerating DNA Codeword Library Searching. - Qinru Qiu; Daniel J. Burns; Qing Wu 002; Prakash Mukre (CIBCB, 2007)

Architectural Design and Complexity Analysis of Large-Scale Cortical Simulation on a Hybrid Computing Platform. - Qing Wu 002; Qinru Qiu; Richard W. Linderman; Daniel J. Burns; Michael J. Moore; Dennis Fitzgerald (CISDA, 2007)

Stochastic modeling and optimization for robust power management in a partially observable system. - Qinru Qiu; Ying Tan; Qing Wu 002 (DATE, 2007)

Hardware Acceleration for Thermodynamic Constrained DNA Code Generation. - Qinru Qiu; Prakash Mukre; Morgan Bishop; Daniel J. Burns; Qing Wu 002 (DNA, 2007)

Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching. - Qinru Qiu; Daniel J. Burns; Prakash Mukre; Qing Wu 002 (GECCO, 2007)

Resource-aware High Performance Scheduling for Embedded MPSoCs With the Application of MPEG Decoding. - Parth Malani; Ying Tan; Qinru Qiu (ICME, 2007)

Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach. - Parth Malani; Prakash Mukre; Qinru Qiu (ISCAS, 2007)

Power optimization for conditional task graphs in DVS enabled multiprocessor systems. - Parth Malani; Prakash Mukre; Qinru Qiu (VLSI-SoC, 2007)

Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting. - Shaobo Liu; Qinru Qiu; Qing Wu 002 (DATE, 2008)

Adaptive Scheduling and Voltage Scaling for Multiprocessor Real-time Applications with Non-deterministic Workload. - Parth Malani; Prakash Mukre; Qinru Qiu; Qing Wu 002 (DATE, 2008)

A Framework of Stochastic Power Management Using Hidden Markov Model. - Ying Tan; Qinru Qiu (DATE, 2008)

Full-chip leakage current estimation based on statistical sampling techniques. - Shaobo Liu; Qinru Qiu; Qing Wu 002 (ACM Great Lakes Symposium on VLSI, 2008)

Performance optimization for pattern recognition using associative neural memory. - Qing Wu 002; Prakash Mukre; Richard W. Linderman; Thomas Renz; Daniel J. Burns; Michael J. Moore; Qinru Qiu (ICME, 2008)

Accelerating cogent confabulation: An exploration in the architecture design space. - Qinru Qiu; Daniel J. Burns; Michael J. Moore; Richard W. Linderman; Thomas Renz; Qing Wu 002 (IJCNN, 2008)

A probabilistic technique for full-chip leakage estimation. - Shaobo Liu; Qinru Qiu; Qing Wu 002 (ISLPED, 2008)

Bus encoding for simultaneous delay and energy optimization. - Jingyi Zhang; Qing Wu 002; Qinru Qiu (ISLPED, 2008)

An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems. - Shaobo Liu; Qing Wu 002; Qinru Qiu (DAC, 2009)

Adaptive power management using reinforcement learning. - Ying Tan; Wei Liu; Qinru Qiu (ICCAD, 2009)

Distributed task migration for thermal management in many-core systems. - Yang Ge; Parth Malani; Qinru Qiu (DAC, 2010)

Enhanced Q-learning algorithm for dynamic power management with performance constraint. - Wei Liu; Ying Tan; Qinru Qiu (DATE, 2010)

Task allocation for minimum system power in a homogenous multi-core processor. - Yang Ge; Qinru Qiu (Green Computing Conference, 2010)

Accurate modeling and prediction of energy availability in energy harvesting real-time embedded systems. - Jun Lu; Shaobo Liu; Qing Wu 002; Qinru Qiu (Green Computing Conference, 2010)

Load-matching adaptive task scheduling for energy efficiency in energy harvesting real-time embedded systems. - Shaobo Liu; Jun Lu; Qing Wu 002; Qinru Qiu (ISLPED, 2010)

Thermal-aware job allocation and scheduling for three dimensional chip multiprocessor. - Shaobo Liu; Jingyi Zhang; Qing Wu 002; Qinru Qiu (ISQED, 2010)

Confabulation based sentence completion for machine reading. - Qinru Qiu; Qing Wu 002; Daniel J. Burns; Michael J. Moore; Robinson E. Pino; Morgan Bishop; Richard W. Linderman (CCMB, 2011)

Dynamic thermal management for multimedia applications using machine learning. - Yang Ge; Qinru Qiu (DAC, 2011)

Scheduling and mapping of periodic tasks on multi-core embedded systems with energy harvesting. - Jun Lu; Qinru Qiu (IGCC, 2011)

An FPGA-Based Distributed Computing System with Power and Thermal Management Capabilities. - Hao Shen; Qinru Qiu (ICCCN, 2011)

Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform. - Qinru Qiu; Qing Wu 002; Richard W. Linderman (IJCNN, 2011)

End-to-End Energy Management. - Yung-Hsiang Lu; Qinru Qiu; Ali Raza Butt; Kirk W. Cameron (Computer, 2011)

Tag-assisted sentence confabulation for intelligent text recognition. - Fan Yang; Qinru Qiu; Morgan Bishop; Qing Wu 002 (CISDA, 2012)

Temperature-aware computing: Achievements and remaining challenges. - Dhireesha Kudithipudi; Ayse K. Coskun; Sherief Reda; Qinru Qiu (IGCC, 2012)

A game theoretic resource allocation for overall energy minimization in mobile cloud computing system. - Yang Ge; Yukan Zhang; Qinru Qiu; Yung-Hsiang Lu (ISLPED, 2012)

Learning based DVFS for simultaneous temperature, performance and energy management. - Hao Shen; Jun Lu; Qinru Qiu (ISQED, 2012)

A massive parallel neuromorphic computing model for intelligent text recognition. - Qinru Qiu (SoCC, 2012)

Low Power Task Scheduling and Mapping for Applications with Conditional Branches on Heterogeneous Multi-Processor System. - Yang Ge; Yukan Zhang; Parth Malani; Qing Wu 002; Qinru Qiu (J. Low Power Electron., 2012)

Introduction to the special section on adaptive power management for energy and temperature-aware computing systems. - Ayse Kivilcim Coskun; Yung-Hsiang Lu; Qinru Qiu (ACM Trans. Design Autom. Electr. Syst., 2012)

A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems. - Yang Ge; Qinru Qiu; Qing Wu 002 (IEEE Trans. Very Large Scale Integr. Syst., 2012)

Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy. - Shaobo Liu; Jun Lu; Qing Wu 002; Qinru Qiu (IEEE Trans. Very Large Scale Integr. Syst., 2012)

Adaptive Power Management for Energy Harvesting Embedded Systems. - Jun Lu; Shaobo Liu; Qing Wu 002; Qinru Qiu (Handbook of Energy-Aware and Green Computing, 2012)

Improving energy efficiency for energy harvesting embedded systems. - Yang Ge; Yukan Zhang; Qinru Qiu (ASP-DAC, 2013)

Improving charging efficiency with workload scheduling in energy harvesting embedded systems. - Yukan Zhang; Yang Ge; Qinru Qiu (DAC, 2013)

User-aware energy efficient streaming strategy for smartphone based video playback applications. - Hao Shen; Qinru Qiu (DATE, 2013)

A neuromorphic architecture for anomaly detection in autonomous large-area traffic monitoring. - Qiuwen Chen; Qinru Qiu; Hai Li 001; Qing Wu 002 (ICCAD, 2013)

A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster. - Qinru Qiu; Qing Wu 002; Morgan Bishop; Robinson E. Pino; Richard W. Linderman (IEEE Trans. Computers, 2013)

Achieving autonomous power management using reinforcement learning. - Hao Shen; Ying Tan; Jun Lu; Qing Wu 002; Qinru Qiu (ACM Trans. Design Autom. Electr. Syst., 2013)

Thermal Management in Many Core Systems. - Dhireesha Kudithipudi; Qinru Qiu; Ayse K. Coskun (Evolutionary Based Solutions for Green Computing, 2013)

The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design. - Miao Hu; Yu Wang 002; Qinru Qiu; Yiran Chen 001; Hai Li 001 (ASP-DAC, 2014)

A confabulation model for abnormal vehicle events detection in wide-area traffic monitoring. - Qiuwen Chen; Qinru Qiu; Qing Wu 002; Morgan Bishop; Mark Barnell (CogSIMA, 2014)

Battery aware stochastic QoS boosting in mobile computing devices. - Hao Shen; Qiuwen Chen; Qinru Qiu (DATE, 2014)

Contention aware frequency scaling on CMPs with guaranteed quality of service. - Hao Shen; Qinru Qiu (DATE, 2014)

Energy Efficient Tracking by Dynamic Voltage and Frequency Scaling on Android Smart Phones. - Yu Zheng 016; Koray Ozcan; Senem Velipasalar; Hao Shen; Qinru Qiu (ICDSC, 2014)

Accelerating pattern matching in neuromorphic text recognition system using Intel Xeon Phi coprocessor. - Khadeer Ahmed; Qinru Qiu; Parth Malani; Mangesh Tamhankar (IJCNN, 2014)

Bio-inspired computing with resistive memories - models, architectures and applications. - Qing Wu 002; Beiye Liu; Yiran Chen 001; Hai Li 001; Qiuwen Chen; Qinru Qiu (ISCAS, 2014)

Neuromorphic acceleration for context aware text image recognition. - Qinru Qiu; Zhe Li 001; Khadeer Ahmed; Hai (Helen) Li; Miao Hu (SiPS, 2014)

Distributed Task Migration in a Homogeneous Many-Core System for Leakage and Fan Power Reduction. - Yang Ge; Yukan Zhang; Qinru Qiu (J. Low Power Electron., 2014)

Cloning your mind: security challenges in cognitive system designs and their solutions. - Beiye Liu; Chunpeng Wu; Hai Li 001; Yiran Chen 001; Qing Wu 002; Mark Barnell; Qinru Qiu (DAC, 2015)

FPGA Acceleration of Recurrent Neural Network Based Language Model. - Sicheng Li; Chunpeng Wu; Hai Li 001; Boxun Li; Yu Wang 002; Qinru Qiu (FCCM, 2015)

Self-structured confabulation network for fast anomaly detection and reasoning. - Qiuwen Chen; Qing Wu 002; Morgan Bishop; Richard W. Linderman; Qinru Qiu (IJCNN, 2015)

The applications of memristor devices in next-generation cortical processor designs. - Hai Li 001; Beiye Liu; Xiaoxiao Liu 001; Mengjie Mao; Yiran Chen 001; Qing Wu 002; Qinru Qiu (ISCAS, 2015)

Chip Multiprocessor Performance Modeling for Contention Aware Task Migration and Frequency Scaling. - Hao Shen; Qinru Qiu (J. Low Power Electron., 2015)

Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster. - Khadeer Ahmed; Qinru Qiu; Mangesh Tamhankar (HPEC, 2016)

Towards parallel implementation of associative inference for cogent confabulation. - Zhe Li 001; Qinru Qiu; Mangesh Tamhankar (HPEC, 2016)

DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (ICCD, 2016)

Designing reconfigurable large-scale deep learning systems using stochastic computing. - Ao Ren; Zhe Li 001; Yanzhi Wang; Qinru Qiu; Bo Yuan 001 (ICRC, 2016)

Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. - Khadeer Ahmed; Amar Shrestha; Qinru Qiu (IJCNN, 2016)

Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. - Khadeer Ahmed; Amar Shrestha; Qinru Qiu; Qing Wu 002 (IJCNN, 2016)

Enhancing bidirectional association between deep image representations and loosely correlated texts. - Qiuwen Chen; Qinru Qiu (IJCNN, 2016)

Effective Utilization of CUDA Hyper-Q for Improved Power and Performance Efficiency. - Ryan S. Luley; Qinru Qiu (IPDPS Workshops, 2016)

Towards memristor based accelerator for sparse matrix vector multiplication. - Jianwei Cui; Qinru Qiu (ISCAS, 2016)

System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference. - Khadeer Ahmed; Amar Shrestha; Yanzhi Wang; Qinru Qiu (ISVLSI, 2016)

A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. - Ruizhe Cai; Ao Ren; Yanzhi Wang; Sucheta Soundarajan; Qinru Qiu; Bo Yuan 001; Paul Bogdan (SoCC, 2016)

Assisting fuzzy offline handwriting recognition using recurrent belief propagation. - Yilan Li; Zhe Li 001; Qinru Qiu (SSCI, 2016)

Guest Editorial: Design and Applications of Neuromorphic Computing System. - Hai (Helen) Li; Qinru Qiu; Yu Wang 002 (IEEE Trans. Multi Scale Comput. Syst., 2016)

A Neuromorphic Architecture for Context Aware Text Image Recognition. - Qinru Qiu; Zhe Li 001; Khadeer Ahmed; Wei Liu; Syed Faisal Habib; Hai (Helen) Li; Miao Hu (J. Signal Process. Syst., 2016)

Towards acceleration of deep convolutional neural networks using stochastic computing. - Ji Li 006; Ao Ren; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang (ASP-DAC, 2017)

SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. - Ao Ren; Zhe Li 001; Caiwen Ding; Qinru Qiu; Yanzhi Wang; Ji Li 006; Xuehai Qian; Bo Yuan 001 (ASPLOS, 2017)

Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor. - Qiuwen Chen; Qinru Qiu (DATE, 2017)

Structural design optimization for deep convolutional neural networks using stochastic computing. - Zhe Li 001; Ao Ren; Ji Li 006; Qinru Qiu; Bo Yuan 001; Jeffrey Draper; Yanzhi Wang (DATE, 2017)

Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. - Zihao Yuan; Ji Li 006; Zhe Li 001; Caiwen Ding; Ao Ren; Bo Yuan 001; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2017)

Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. - Siyu Liao; Zhe Li 001; Xue Lin; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (ICCAD, 2017)

A spike-based long short-term memory on a neurosynaptic processor. - Amar Shrestha; Khadeer Ahmed; Yanzhi Wang; David P. Widemann; Adam T. Moody; Brian C. Van Essen; Qinru Qiu (ICCAD, 2017)

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. - Ning Liu 007; Zhe Li 001; Jielong Xu; Zhiyuan Xu; Sheng Lin 001; Qinru Qiu; Jian Tang 008; Yanzhi Wang (ICDCS, 2017)

Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Caiwen Ding; Ao Ren; Qinru Qiu; Jeffrey Draper; Yanzhi Wang (IJCNN, 2017)

Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. - Amar Shrestha; Khadeer Ahmed; Yanzhi Wang; Qinru Qiu (IJCNN, 2017)

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (MICRO, 2017)

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (CoRR, 2017)

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. - Yanzhi Wang; Caiwen Ding; Zhe Li 001; Geng Yuan; Siyu Liao; Xiaolong Ma; Bo Yuan 001; Xuehai Qian; Jian Tang 008; Qinru Qiu; Xue Lin (AAAI, 2018)

Optimizing Data Transfers for Improved Performance on Shared GPUs Using Reinforcement Learning. - Ryan S. Luley; Qinru Qiu (CCGrid, 2018)

C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. - Shuo Wang 009; Zhe Li 001; Caiwen Ding; Bo Yuan 001; Qinru Qiu; Yanzhi Wang; Yun Liang 001 (FPGA, 2018)

Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. - Zhe Li 001; Shuo Wang 009; Caiwen Ding; Qinru Qiu; Yanzhi Wang; Yun Liang 001 (ICLR (Workshop), 2018)

Learning Topics Using Semantic Locality. - Ziyi Zhao; Krittaphat Pugdeethosapol; Sheng Lin 001; Zhe Li 001; Caiwen Ding; Yanzhi Wang; Qinru Qiu (ICPR, 2018)

Scalable NoC-based Neuromorphic Hardware Learning and Inference. - Haowen Fang; Amar Shrestha; De Ma; Qinru Qiu (IJCNN, 2018)

Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. - Zhe Li 001; Ji Li 006; Ao Ren; Caiwen Ding; Jeffrey Draper; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (ISVLSI, 2018)

Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. - Amar Shrestha; Khadeer Ahmed; Yanzhi Wang; David P. Widemann; Adam T. Moody; Brian C. Van Essen; Qinru Qiu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2018)

AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams. - Qiuwen Chen; Ryan S. Luley; Qing Wu 002; Morgan Bishop; Richard W. Linderman; Qinru Qiu (IEEE Trans. Neural Networks Learn. Syst., 2018)

Autonomous waypoints planning and trajectory generation for multi-rotor UAVs. - Yilan Li; Hossein Eslamiat; Ningshan Wang; Ziyi Zhao; Amit K. Sanyal; Qinru Qiu (DESTION@CPSIoTWeek, 2019)

Autonomous Waypoint Planning, Optimal Trajectory Generation and Nonlinear Tracking Control for Multi-rotor UAVs. - Hossein Eslamiat; Yilan Li; Ningshan Wang; Amit K. Sanyal; Qinru Qiu (ECC, 2019)

E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. - Zhe Li 001; Caiwen Ding; Siyue Wang; Wujie Wen; Youwei Zhuo; Chang Liu; Qinru Qiu; Wenyao Xu; Xue Lin; Xuehai Qian; Yanzhi Wang (HPCA, 2019)

An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. - Haowen Fang; Amar Shrestha; Ziyi Zhao; Yilan Li; Qinru Qiu (ICCAD, 2019)

Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. - Zhe Li 001; Xiaolong Ma; Ji Li 006; Qinru Qiu; Yanzhi Wang (ICESS, 2019)

Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. - Amar Shrestha; Haowen Fang; Qing Wu 002; Qinru Qiu (ICONS, 2019)

A General Framework to Map Neural Networks onto Neuromorphic Processor. - Haowen Fang; Amar Shrestha; Ziyi Zhao; Yanzhi Wang; Qinru Qiu (ISQED, 2019)

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. - Yilan Li; Hongjia Li; Zhe Li 001; Haowen Fang; Amit K. Sanyal; Yanzhi Wang; Qinru Qiu (RTCSA, 2019)

Temporal and Spatial Routing for Large Scale Safe and Connected UAS Traffic Management in Urban Areas. - Ziyi Zhao; Zhao Jin; Chen Luo; Haowen Fang; Franco Basti; Mustafa Cenk Gursoy; Carlos Caicedo 001; Qinru Qiu (RTCSA, 2019)

Autonomous UAV with Learned Trajectory Generation and Control. - Yilan Li; Mingyang Li; Amit K. Sanyal; Yanzhi Wang; Qinru Qiu (SiPS, 2019)

A Simulation Framework for Fast Design Space Exploration of Unmanned Air System Traffic Management Policies. - Ziyi Zhao; Chen Luo; Jin Zhao; Qinru Qiu; Mustafa Cenk Gursoy; Carlos Caicedo 001; Franco Basti (CoRR, 2019)

CircConv: A Structured Convolution with Low Complexity. - Siyu Liao; Zhe Li 001; Liang Zhao 002; Qinru Qiu; Yanzhi Wang; Bo Yuan 001 (CoRR, 2019)

Normalization and dropout for stochastic computing-based deep convolutional neural networks. - Ji Li 006; Zihao Yuan; Zhe Li 001; Ao Ren; Caiwen Ding; Jeffrey Draper; Shahin Nazarian; Qinru Qiu; Bo Yuan 001; Yanzhi Wang (Integr., 2019)

In situ training of feed-forward and recurrent convolutional memristor networks. - 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; et al. (Nat. Mach. Intell., 2019)

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. - Zhe Li 001; Ji Li 006; Ao Ren; Ruizhe Cai; Caiwen Ding; Xuehai Qian; Jeffrey Draper; Bo Yuan 001; Jian Tang 008; Qinru Qiu; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Embedding Compression with Isotropic Iterative Quantization. - Siyu Liao; Jie Chen 007; Yanzhi Wang; Qinru Qiu; Bo Yuan 001 (AAAI, 2020)

Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. - Xiaolong Ma; Zhe Li 001; Hongjia Li; Qiyuan An; Qinru Qiu; Wenyao Xu; Yanzhi Wang (ASP-DAC, 2020)

A Deep Q-Learning Approach for GPU Task Scheduling. - Ryan S. Luley; Qinru Qiu (HPEC, 2020)

Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. - Haowen Fang; Zaidao Mei; Amar Shrestha; Ziyi Zhao; Yilan Li; Qinru Qiu (ICCAD, 2020)

MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. - Amar Shrestha; Krittaphat Pugdeethosapol; Haowen Fang; Qinru Qiu (ICPR, 2020)

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. - Haowen Fang; Amar Shrestha; Ziyi Zhao; Qinru Qiu (IJCAI, 2020)

Multivariate Time Series Classification Using Spiking Neural Networks. - Haowen Fang; Amar Shrestha; Qinru Qiu (IJCNN, 2020)

Automatic Image Labeling with Click Supervision on Aerial Images. - Krittaphat Pugdeethosapol; Morgan Bishop; Dennis Bowen; Qinru Qiu (IJCNN, 2020)

GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. - Ziyi Zhao; Haowen Fang; Zhao Jin; Qinru Qiu (IJCNN, 2020)

Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. - Ziyi Zhao; Zhao Jin; Wentian Bai; Wentan Bai; Carlos Caicedo 001; Mustafa Cenk Gursoy; Qinru Qiu (IJCNN, 2020)

High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. - Amar Shrestha; Krittaphat Pugdeethosapol; Haowen Fang; Qinru Qiu (CoRR, 2020)

Simulation of Real-time Routing for UAS traffic Management with Communication and Airspace Safety Considerations. - Zhao Jin; Ziyi Zhao; Chen Luo; Franco Basti; Adrian Solomon; Mustafa Cenk Gursoy; Carlos Caicedo 001; Qinru Qiu (CoRR, 2020)

ISLPED 2020: An Experience of Virtual Conference during COVID-19 Time. - Qinru Qiu; David Atienza (IEEE Des. Test, 2020)

Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. - Haowen Fang; Brady Taylor; Ziru Li; Zaidao Mei; Hai Helen Li; Qinru Qiu (DAC, 2021)

In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. - Amar Shrestha; Haowen Fang; Daniel Patrick Rider; Zaidao Mei; Qinru Qiu (DAC, 2021)

Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints. - Chen Luo; Qinwei Huang; Fanxin Kong; Simon Khan; Qinru Qiu (ICAR, 2021)

1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. - Brady Taylor; Amar Shrestha; Qinru Qiu; Hai Helen Li (ISCAS, 2021)

Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. - Yiran Chen 001; Qinru Qiu; Yingyan Lin (ACM J. Emerg. Technol. Comput. Syst., 2021)

Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. - Yiran Chen 001; Qinru Qiu; Yingyan Lin (ACM J. Emerg. Technol. Comput. Syst., 2021)

Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning. - Yilan Li; Haowen Fang; Mingyang Li; Yue Ma; Qinru Qiu (ASP-DAC, 2022)

Unsupervised Adaptation of Spiking Networks in a Gradual Changing Environment. - Zaidao Mei; Mark Barnell; Qinru Qiu (HPEC, 2022)

Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing. - Yiran Chen 001; Qinru Qiu (IEEE Trans. Computers, 2022)

Multi-Agent Cooperative Games Using Belief Map Assisted Training. - Chen Luo; Qinwei Huang; Alex B. Wu; Simon Khan; Hai Li 001; Qinru Qiu (ECAI, 2023)

SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. - Zaidao Mei; Boyu Wang 005; Daniel Patrick Rider; Qinru Qiu (ICONS, 2023)

Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness. - Yiming Bu; Jiayang Liu; Qinru Qiu (IGSC, 2023)

Catch You if Pay Attention: Temporal Sensor Attack Diagnosis Using Attention Mechanisms for Cyber-Physical Systems. - Zifan Wang; Lin Zhang 039; Qinru Qiu; Fanxin Kong (RTSS, 2023)

SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. - Mingyang Li; Yue Ma; Qinru Qiu (SSCI, 2023)

Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline. - Zhenhang Zhang; Jingang Jin; Haowen Fang; Qinru Qiu (CoRR, 2023)

Cross-Modal Reasoning with Event Correlation for Video Question Answering. - Chengxiang Yin 001; Zhengping Che; Kun Wu 001; Zhiyuan Xu; Qinru Qiu; Jian Tang 008 (CoRR, 2023)

SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. - Zhenhang Zhang; Jingang Jin; Haowen Fang; Qinru Qiu (ASPDAC, 2024)

Prompt-Based Domain Incremental Learning with Modular Classification Layer. - Boyu Wang 005; Yue Ma; Qinru Qiu (ECAI, 2024)

Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling. - Jiayang Liu; Yiming Bu; Daniel Tso; Qinru Qiu (ICLR, 2024)

SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. - Kun Wu 001; Ning Liu 007; Zhen Zhao; Di Qiu; Jinming Li; Zhengping Che; Zhiyuan Xu; Qinru Qiu; Jian Tang 008 (CoRR, 2024)

An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation. - Yinuo Zhao; Kun Wu 001; Tianjiao Yi; Zhiyuan Xu; Xiaozhu Ju; Zhengping Che; Qinru Qiu; Chi Harold Liu; Jian Tang 008 (CoRR, 2024)

Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. - Kun Wu 001; Yichen Zhu; Jinming Li; Junjie Wen; Ning Liu 007; Zhiyuan Xu; Qinru Qiu; Jian Tang 008 (CoRR, 2024)