Qinru Qiu - RankMe

201 papers A* 20A 34B 23C 12Misc 2Journal 60Unranked 48

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Event Prediction and Quality-adaptive Attention for Energy and Data Efficient Dynamic Visual Sensing. IJCNN Yiming Bu, Simon Khan, Jiayang Liu, Qinru Qiu
2025	—	`conf`	Exploring Spike Encoder Designs for Near-Sensor Edge Computing. NICE Jingang Jin, Zhenhang Zhang, Qinru Qiu
2025	—	`conf`	LVP-CLIP: Revisiting CLIP for Continual Learning with Label Vector Pool. CVPR Workshops Yue Ma, Huantao Ren, Boyu Wang, Jingang Jin, Senem Velipasalar, Qinru Qiu
2025	C	`conf`	Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. NeSy Ruipeng Liu, Qinru Qiu, Simon Khan, Garrett Ethan Katz
2025	J	`jnl`	Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. CoRR Ruipeng Liu, Qinru Qiu, Simon Khan, Garrett E. Katz
2025	—	`conf`	Managing Trustworthiness in Advanced Autonomous Systems. HICSS Sriprakash Sarathy, Shiu-Kai Chin, William Young, Marilyn Wolf, J.-C. Oh, Qinru Qiu, Marlon Marquez, R. Angiolini, Anthony Mazzacane
2025	J	`jnl`	Predictive Auxiliary Learning for Belief-based Multi-Agent Systems. CoRR Qinwei Huang, Stefan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu
2025	J	`jnl`	SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense. CoRR Jiayang Liu, Daniel Tso, Yiming Bu, Qinru Qiu
2025	A*	`conf`	Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning. IJCAI Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu
2024	J	`jnl`	ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning. CoRR Kun Wu, Yinuo Zhao, Zhiyuan Xu, Zhengping Che, Chengxiang Yin, Chi Harold Liu, Qinru Qiu, Feiferi Feng, Jian Tang
2024	J	`jnl`	An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation. CoRR Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Xiaozhu Ju, Zhengping Che, Qinru Qiu, Chi Harold Liu, Jian Tang
2024	J	`jnl`	Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. CoRR Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Qinru Qiu, Jian Tang
2024	A*	`conf`	Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling. ICLR Jiayang Liu, Yiming Bu, Daniel Tso, Qinru Qiu
2024	J	`jnl`	LVP-CLIP:Revisiting CLIP for Continual Learning with Label Vector Pool. CoRR Yue Ma, Huantao Ren, Boyu Wang, Jingang Jin, Senem Velipasalar, Qinru Qiu
2024	J	`jnl`	Multi-agent Cooperative Games Using Belief Map Assisted Training. CoRR Qinwei Huang, Chen Luo, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu
2024	—	`conf`	Pinpointing Actuator Attacks: A Novel Diagnostic Framework for Cyber-Physical Systems. ICAA Zifan Wang, Qinru Qiu, Fanxin Kong
2024	J	`jnl`	Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness. CoRR Yiming Bu, Jiayang Liu, Qinru Qiu
2024	A	`conf`	Prompt-Based Domain Incremental Learning with Modular Classification Layer. ECAI Boyu Wang, Yue Ma, Qinru Qiu
2024	B	`conf`	SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. ASPDAC Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu
2024	J	`jnl`	SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. CoRR Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Qinru Qiu, Jian Tang
2024	J	`jnl`	SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. CoRR Mingyang Li, Yue Ma, Qinru Qiu
2024	J	`jnl`	Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks. CoRR Rui Zuo, Zifan Wang, Simon Khan, Garrett E. Katz, Qinru Qiu
2023	A	`conf`	Catch You if Pay Attention: Temporal Sensor Attack Diagnosis Using Attention Mechanisms for Cyber-Physical Systems. RTSS Zifan Wang, Lin Zhang, Qinru Qiu, Fanxin Kong
2023	J	`jnl`	Cross-Modal Reasoning with Event Correlation for Video Question Answering. CoRR Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Qinru Qiu, Jian Tang
2023	A	`conf`	Multi-Agent Cooperative Games Using Belief Map Assisted Training. ECAI Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu
2023	J	`jnl`	Neuromorphic Online Learning for Spatiotemporal Patterns with a Forward-only Timeline. CoRR Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu
2023	—	`conf`	Predictive Temporal Attention on Event-based Video Stream for Energy-efficient Situation Awareness. IGSC Yiming Bu, Jiayang Liu, Qinru Qiu
2023	—	`conf`	SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. ICONS Zaidao Mei, Boyu Wang, Daniel Patrick Rider, Qinru Qiu
2023	—	`conf`	SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization. SSCI Mingyang Li, Yue Ma, Qinru Qiu
2022	J	`jnl`	Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing. IEEE Trans. Computers Yiran Chen, Qinru Qiu
2022	—	`conf`	Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning. ASP-DAC Yilan Li, Haowen Fang, Mingyang Li, Yue Ma, Qinru Qiu
2022	—	`conf`	Unsupervised Adaptation of Spiking Networks in a Gradual Changing Environment. HPEC Zaidao Mei, Mark Barnell, Qinru Qiu
2021	C	`conf`	1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. ISCAS Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li
2021	—	`conf`	Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints. ICAR Chen Luo, Qinwei Huang, Fanxin Kong, Simon Khan, Qinru Qiu
2021	A*	`conf`	In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. DAC Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu
2021	J	`jnl`	In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. CoRR Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu
2021	J	`jnl`	Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. ACM J. Emerg. Technol. Comput. Syst. Yiran Chen, Qinru Qiu, Yingyan Lin
2021	J	`jnl`	Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. ACM J. Emerg. Technol. Comput. Syst. Yiran Chen, Qinru Qiu, Yingyan Lin
2021	A*	`conf`	Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. DAC Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu
2021	J	`jnl`	Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. CoRR Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu
2020	—	`conf`	A Deep Q-Learning Approach for GPU Task Scheduling. HPEC Ryan S. Luley, Qinru Qiu
2020	B	`conf`	Automatic Image Labeling with Click Supervision on Aerial Images. IJCNN Krittaphat Pugdeethosapol, Morgan Bishop, Dennis Bowen, Qinru Qiu
2020	—	`conf`	Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. ASP-DAC Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang
2020	A*	`conf`	Embedding Compression with Isotropic Iterative Quantization. AAAI Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan
2020	J	`jnl`	Embedding Compression with Isotropic Iterative Quantization. CoRR Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan
2020	A	`conf`	Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. ICCAD Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu
2020	A*	`conf`	Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. IJCAI Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu
2020	J	`jnl`	Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. CoRR Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu
2020	B	`conf`	GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. IJCNN Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu
2020	J	`jnl`	GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. CoRR Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu
2020	J	`jnl`	High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET. CoRR Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
2020	A	`ed.`	ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, Massachusetts, August 10-12, 2020 ISLPED David Atienza Alonso, Qinru Qiu, Sherief Reda, Yiran Chen
2020	J	`jnl`	ISLPED 2020: An Experience of Virtual Conference during COVID-19 Time. IEEE Des. Test Qinru Qiu, David Atienza
2020	B	`conf`	MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. ICPR Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
2020	J	`jnl`	MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. CoRR Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
2020	B	`conf`	Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. IJCNN Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu
2020	J	`jnl`	Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. CoRR Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu
2020	B	`conf`	Multivariate Time Series Classification Using Spiking Neural Networks. IJCNN Haowen Fang, Amar Shrestha, Qinru Qiu
2020	J	`jnl`	Multivariate Time Series Classification Using Spiking Neural Networks. CoRR Haowen Fang, Amar Shrestha, Qinru Qiu
2020	J	`jnl`	Simulation of Real-time Routing for UAS traffic Management with Communication and Airspace Safety Considerations. CoRR Zhao Jin, Ziyi Zhao, Chen Luo, Franco Basti, Adrian Solomon, Mustafa Cenk Gursoy, Carlos Caicedo, Qinru Qiu
2019	—	`conf`	A General Framework to Map Neural Networks onto Neuromorphic Processor. ISQED Haowen Fang, Amar Shrestha, Ziyi Zhao, Yanzhi Wang, Qinru Qiu
2019	J	`jnl`	A Simulation Framework for Fast Design Space Exploration of Unmanned Air System Traffic Management Policies. CoRR Ziyi Zhao, Chen Luo, Jin Zhao, Qinru Qiu, Mustafa Cenk Gursoy, Carlos Caicedo, Franco Basti
2019	A	`conf`	An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. ICCAD Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu
2019	—	`conf`	Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks. ICONS Amar Shrestha, Haowen Fang, Qing Wu, Qinru Qiu
2019	—	`conf`	Autonomous UAV with Learned Trajectory Generation and Control. SiPS Yilan Li, Mingyang Li, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu
2019	—	`conf`	Autonomous Waypoint Planning, Optimal Trajectory Generation and Nonlinear Tracking Control for Multi-rotor UAVs. ECC Hossein Eslamiat, Yilan Li, Ningshan Wang, Amit K. Sanyal, Qinru Qiu
2019	—	`conf`	Autonomous waypoints planning and trajectory generation for multi-rotor UAVs. DESTION@CPSIoTWeek Yilan Li, Hossein Eslamiat, Ningshan Wang, Ziyi Zhao, Amit K. Sanyal, Qinru Qiu
2019	J	`jnl`	CircConv: A Structured Convolution with Low Complexity. CoRR Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan
2019	A*	`conf`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. HPCA Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2019	—	`conf`	Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. ICESS Zhe Li, Xiaolong Ma, Ji Li, Qinru Qiu, Yanzhi Wang
2019	B	`conf`	Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. RTCSA Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu
2019	J	`jnl`	HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
2019	J	`jnl`	In situ training of feed-forward and recurrent convolutional memristor networks. Nat. Mach. Intell. 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
2019	J	`jnl`	Normalization and dropout for stochastic computing-based deep convolutional neural networks. Integr. Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang
2019	B	`conf`	Temporal and Spatial Routing for Large Scale Safe and Connected UAS Traffic Management in Urban Areas. RTCSA Ziyi Zhao, Zhao Jin, Chen Luo, Haowen Fang, Franco Basti, Mustafa Cenk Gursoy, Carlos Caicedo, Qinru Qiu
2018	J	`jnl`	AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams. IEEE Trans. Neural Networks Learn. Syst. Qiuwen Chen, Ryan S. Luley, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu
2018	A	`conf`	C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. FPGA Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang
2018	J	`jnl`	C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. CoRR Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Yanzhi Wang, Qinru Qiu, Yun Liang
2018	J	`jnl`	E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. CoRR Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang
2018	—	`conf`	Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. ICLR (Workshop) Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang
2018	J	`jnl`	Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. CoRR Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang
2018	B	`conf`	Learning Topics Using Semantic Locality. ICPR Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu
2018	J	`jnl`	Learning Topics using Semantic Locality. CoRR Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu
2018	J	`jnl`	Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor. IEEE J. Emerg. Sel. Topics Circuits Syst. Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu
2018	B	`conf`	Optimizing Data Transfers for Improved Performance on Shared GPUs Using Reinforcement Learning. CCGrid Ryan S. Luley, Qinru Qiu
2018	B	`conf`	Scalable NoC-based Neuromorphic Hardware Learning and Inference. IJCNN Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu
2018	J	`jnl`	Scalable NoC-based Neuromorphic Hardware Learning and Inference. CoRR Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu
2018	—	`conf`	Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks Using Stochastic Computing. ISVLSI Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
2018	J	`jnl`	Towards Budget-Driven Hardware Optimization for Deep Convolutional Neural Networks using Stochastic Computing. CoRR Zhe Li, Ji Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Qinru Qiu, Bo Yuan, Yanzhi Wang
2018	A*	`conf`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. AAAI Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2018	J	`jnl`	Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. CoRR Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
2017	A	`conf`	A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. ICDCS Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang
2017	J	`jnl`	A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. CoRR Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang
2017	A	`conf`	A spike-based long short-term memory on a neurosynaptic processor. ICCAD Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, David P. Widemann, Adam T. Moody, Brian C. Van Essen, Qinru Qiu
2017	J	`jnl`	CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR 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
2017	A*	`conf`	CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 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
2017	A	`conf`	Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. ICCAD Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan
2017	J	`jnl`	Hardware-Driven Nonlinear Activation for Stochastic Computing Based Deep Convolutional Neural Networks. CoRR Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey T. Draper, Yanzhi Wang
2017	B	`conf`	Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. IJCNN Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
2017	A	`conf`	Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor. DATE Qiuwen Chen, Qinru Qiu
2017	A*	`conf`	SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. ASPLOS Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan
2017	—	`conf`	Softmax Regression Design for Stochastic Computing Based Deep Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI Zihao Yuan, Ji Li, Zhe Li, Caiwen Ding, Ao Ren, Bo Yuan, Qinru Qiu, Jeffrey Draper, Yanzhi Wang
2017	B	`conf`	Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. IJCNN Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu
2017	A	`conf`	Structural design optimization for deep convolutional neural networks using stochastic computing. DATE Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang
2017	—	`conf`	Towards acceleration of deep convolutional neural networks using stochastic computing. ASP-DAC Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang
2016	J	`jnl`	A Neuromorphic Architecture for Context Aware Text Image Recognition. J. Signal Process. Syst. Qinru Qiu, Zhe Li, Khadeer Ahmed, Wei Liu, Syed Faisal Habib, Hai (Helen) Li, Miao Hu
2016	—	`conf`	A low-computation-complexity, energy-efficient, and high-performance linear program solver using memristor crossbars. SoCC Ruizhe Cai, Ao Ren, Yanzhi Wang, Sucheta Soundarajan, Qinru Qiu, Bo Yuan, Paul Bogdan
2016	—	`conf`	Assisting fuzzy offline handwriting recognition using recurrent belief propagation. SSCI Yilan Li, Zhe Li, Qinru Qiu
2016	C	`conf`	DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. ICCD Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan
2016	—	`conf`	Designing reconfigurable large-scale deep learning systems using stochastic computing. ICRC Ao Ren, Zhe Li, Yanzhi Wang, Qinru Qiu, Bo Yuan
2016	—	`conf`	Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster. HPEC Khadeer Ahmed, Qinru Qiu, Mangesh Tamhankar
2016	—	`conf`	Effective Utilization of CUDA Hyper-Q for Improved Power and Performance Efficiency. IPDPS Workshops Ryan S. Luley, Qinru Qiu
2016	B	`conf`	Enhancing bidirectional association between deep image representations and loosely correlated texts. IJCNN Qiuwen Chen, Qinru Qiu
2016	J	`jnl`	Guest Editorial: Design and Applications of Neuromorphic Computing System. IEEE Trans. Multi Scale Comput. Syst. Hai (Helen) Li, Qinru Qiu, Yu Wang
2016	B	`conf`	Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. IJCNN Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu
2016	J	`jnl`	SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. CoRR Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, Yanzhi Wang
2016	B	`conf`	Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. IJCNN Khadeer Ahmed, Amar Shrestha, Qinru Qiu
2016	—	`conf`	System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference. ISVLSI Khadeer Ahmed, Amar Shrestha, Yanzhi Wang, Qinru Qiu
2016	C	`conf`	Towards memristor based accelerator for sparse matrix vector multiplication. ISCAS Jianwei Cui, Qinru Qiu
2016	—	`conf`	Towards parallel implementation of associative inference for cogent confabulation. HPEC Zhe Li, Qinru Qiu, Mangesh Tamhankar
2015	J	`jnl`	Chip Multiprocessor Performance Modeling for Contention Aware Task Migration and Frequency Scaling. J. Low Power Electron. Hao Shen, Qinru Qiu
2015	A*	`conf`	Cloning your mind: security challenges in cognitive system designs and their solutions. DAC Beiye Liu, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu, Mark Barnell, Qinru Qiu
2015	Misc	`conf`	FPGA Acceleration of Recurrent Neural Network Based Language Model. FCCM Sicheng Li, Chunpeng Wu, Hai Li, Boxun Li, Yu Wang, Qinru Qiu
2015	B	`conf`	Self-structured confabulation network for fast anomaly detection and reasoning. IJCNN Qiuwen Chen, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu
2015	C	`conf`	The applications of memristor devices in next-generation cortical processor designs. ISCAS Hai Li, Beiye Liu, Xiaoxiao Liu, Mengjie Mao, Yiran Chen, Qing Wu, Qinru Qiu
2014	Misc	`conf`	A confabulation model for abnormal vehicle events detection in wide-area traffic monitoring. CogSIMA Qiuwen Chen, Qinru Qiu, Qing Wu, Morgan Bishop, Mark Barnell
2014	B	`conf`	Accelerating pattern matching in neuromorphic text recognition system using Intel Xeon Phi coprocessor. IJCNN Khadeer Ahmed, Qinru Qiu, Parth Malani, Mangesh Tamhankar
2014	A	`conf`	Battery aware stochastic QoS boosting in mobile computing devices. DATE Hao Shen, Qiuwen Chen, Qinru Qiu
2014	C	`conf`	Bio-inspired computing with resistive memories - models, architectures and applications. ISCAS Qing Wu, Beiye Liu, Yiran Chen, Hai Li, Qiuwen Chen, Qinru Qiu
2014	A	`conf`	Contention aware frequency scaling on CMPs with guaranteed quality of service. DATE Hao Shen, Qinru Qiu
2014	J	`jnl`	Distributed Task Migration in a Homogeneous Many-Core System for Leakage and Fan Power Reduction. J. Low Power Electron. Yang Ge, Yukan Zhang, Qinru Qiu
2014	—	`conf`	Energy Efficient Tracking by Dynamic Voltage and Frequency Scaling on Android Smart Phones. ICDSC Yu Zheng, Koray Ozcan, Senem Velipasalar, Hao Shen, Qinru Qiu
2014	—	`conf`	Neuromorphic acceleration for context aware text image recognition. SiPS Qinru Qiu, Zhe Li, Khadeer Ahmed, Hai (Helen) Li, Miao Hu
2014	—	`conf`	The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design. ASP-DAC Miao Hu, Yu Wang, Qinru Qiu, Yiran Chen, Hai Li
2013	J	`jnl`	A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster. IEEE Trans. Computers Qinru Qiu, Qing Wu, Morgan Bishop, Robinson E. Pino, Richard W. Linderman
2013	A	`conf`	A neuromorphic architecture for anomaly detection in autonomous large-area traffic monitoring. ICCAD Qiuwen Chen, Qinru Qiu, Hai Li, Qing Wu
2013	J	`jnl`	Achieving autonomous power management using reinforcement learning. ACM Trans. Design Autom. Electr. Syst. Hao Shen, Ying Tan, Jun Lu, Qing Wu, Qinru Qiu
2013	A*	`conf`	Improving charging efficiency with workload scheduling in energy harvesting embedded systems. DAC Yukan Zhang, Yang Ge, Qinru Qiu
2013	—	`conf`	Improving energy efficiency for energy harvesting embedded systems. ASP-DAC Yang Ge, Yukan Zhang, Qinru Qiu
2013	—	`ch.`	Thermal Management in Many Core Systems. Evolutionary Based Solutions for Green Computing Dhireesha Kudithipudi, Qinru Qiu, Ayse K. Coskun
2013	A	`conf`	User-aware energy efficient streaming strategy for smartphone based video playback applications. DATE Hao Shen, Qinru Qiu
2012	J	`jnl`	A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems. IEEE Trans. Very Large Scale Integr. Syst. Yang Ge, Qinru Qiu, Qing Wu
2012	A	`conf`	A game theoretic resource allocation for overall energy minimization in mobile cloud computing system. ISLPED Yang Ge, Yukan Zhang, Qinru Qiu, Yung-Hsiang Lu
2012	—	`conf`	A massive parallel neuromorphic computing model for intelligent text recognition. SoCC Qinru Qiu
2012	—	`ch.`	Adaptive Power Management for Energy Harvesting Embedded Systems. Handbook of Energy-Aware and Green Computing Jun Lu, Shaobo Liu, Qing Wu, Qinru Qiu
2012	J	`jnl`	Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy. IEEE Trans. Very Large Scale Integr. Syst. Shaobo Liu, Jun Lu, Qing Wu, Qinru Qiu
2012	J	`jnl`	Introduction to the special section on adaptive power management for energy and temperature-aware computing systems. ACM Trans. Design Autom. Electr. Syst. Ayse Kivilcim Coskun, Yung-Hsiang Lu, Qinru Qiu
2012	—	`conf`	Learning based DVFS for simultaneous temperature, performance and energy management. ISQED Hao Shen, Jun Lu, Qinru Qiu
2012	J	`jnl`	Low Power Task Scheduling and Mapping for Applications with Conditional Branches on Heterogeneous Multi-Processor System. J. Low Power Electron. Yang Ge, Yukan Zhang, Parth Malani, Qing Wu, Qinru Qiu
2012	—	`conf`	Tag-assisted sentence confabulation for intelligent text recognition. CISDA Fan Yang, Qinru Qiu, Morgan Bishop, Qing Wu
2012	—	`conf`	Temperature-aware computing: Achievements and remaining challenges. IGCC Dhireesha Kudithipudi, Ayse K. Coskun, Sherief Reda, Qinru Qiu
2011	B	`conf`	An FPGA-Based Distributed Computing System with Power and Thermal Management Capabilities. ICCCN Hao Shen, Qinru Qiu
2011	—	`conf`	Confabulation based sentence completion for machine reading. CCMB Qinru Qiu, Qing Wu, Daniel J. Burns, Michael J. Moore, Robinson E. Pino, Morgan Bishop, Richard W. Linderman
2011	A*	`conf`	Dynamic thermal management for multimedia applications using machine learning. DAC Yang Ge, Qinru Qiu
2011	J	`jnl`	End-to-End Energy Management. Computer Yung-Hsiang Lu, Qinru Qiu, Ali Raza Butt, Kirk W. Cameron
2011	—	`conf`	Scheduling and mapping of periodic tasks on multi-core embedded systems with energy harvesting. IGCC Jun Lu, Qinru Qiu
2011	B	`conf`	Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform. IJCNN Qinru Qiu, Qing Wu, Richard W. Linderman
2010	—	`conf`	Accurate modeling and prediction of energy availability in energy harvesting real-time embedded systems. Green Computing Conference Jun Lu, Shaobo Liu, Qing Wu, Qinru Qiu
2010	A*	`conf`	Distributed task migration for thermal management in many-core systems. DAC Yang Ge, Parth Malani, Qinru Qiu
2010	A	`conf`	Enhanced Q-learning algorithm for dynamic power management with performance constraint. DATE Wei Liu, Ying Tan, Qinru Qiu
2010	A	`conf`	Load-matching adaptive task scheduling for energy efficiency in energy harvesting real-time embedded systems. ISLPED Shaobo Liu, Jun Lu, Qing Wu, Qinru Qiu
2010	—	`conf`	Task allocation for minimum system power in a homogenous multi-core processor. Green Computing Conference Yang Ge, Qinru Qiu
2010	—	`conf`	Thermal-aware job allocation and scheduling for three dimensional chip multiprocessor. ISQED Shaobo Liu, Jingyi Zhang, Qing Wu, Qinru Qiu
2009	A	`conf`	Adaptive power management using reinforcement learning. ICCAD Ying Tan, Wei Liu, Qinru Qiu
2009	A*	`conf`	An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems. DAC Shaobo Liu, Qing Wu, Qinru Qiu
2008	A	`conf`	A Framework of Stochastic Power Management Using Hidden Markov Model. DATE Ying Tan, Qinru Qiu
2008	A	`conf`	A probabilistic technique for full-chip leakage estimation. ISLPED Shaobo Liu, Qinru Qiu, Qing Wu
2008	B	`conf`	Accelerating cogent confabulation: An exploration in the architecture design space. IJCNN Qinru Qiu, Daniel J. Burns, Michael J. Moore, Richard W. Linderman, Thomas Renz, Qing Wu
2008	A	`conf`	Adaptive Scheduling and Voltage Scaling for Multiprocessor Real-time Applications with Non-deterministic Workload. DATE Parth Malani, Prakash Mukre, Qinru Qiu, Qing Wu
2008	A	`conf`	Bus encoding for simultaneous delay and energy optimization. ISLPED Jingyi Zhang, Qing Wu, Qinru Qiu
2008	A	`conf`	Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting. DATE Shaobo Liu, Qinru Qiu, Qing Wu
2008	—	`conf`	Full-chip leakage current estimation based on statistical sampling techniques. ACM Great Lakes Symposium on VLSI Shaobo Liu, Qinru Qiu, Qing Wu
2008	A	`conf`	Performance optimization for pattern recognition using associative neural memory. ICME Qing Wu, Prakash Mukre, Richard W. Linderman, Thomas Renz, Daniel J. Burns, Michael J. Moore, Qinru Qiu
2007	—	`conf`	Architectural Design and Complexity Analysis of Large-Scale Cortical Simulation on a Hybrid Computing Platform. CISDA Qing Wu, Qinru Qiu, Richard W. Linderman, Daniel J. Burns, Michael J. Moore, Dennis Fitzgerald
2007	B	`conf`	Hardware Acceleration for Thermodynamic Constrained DNA Code Generation. DNA Qinru Qiu, Prakash Mukre, Morgan Bishop, Daniel J. Burns, Qing Wu
2007	A	`conf`	Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching. GECCO Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu
2007	C	`conf`	Hybrid Architecture for Accelerating DNA Codeword Library Searching. CIBCB Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre
2007	C	`conf`	Power optimization for conditional task graphs in DVS enabled multiprocessor systems. VLSI-SoC Parth Malani, Prakash Mukre, Qinru Qiu
2007	C	`conf`	Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach. ISCAS Parth Malani, Prakash Mukre, Qinru Qiu
2007	A	`conf`	Resource-aware High Performance Scheduling for Embedded MPSoCs With the Application of MPEG Decoding. ICME Parth Malani, Ying Tan, Qinru Qiu
2007	A	`conf`	Stochastic modeling and optimization for robust power management in a partially observable system. DATE Qinru Qiu, Ying Tan, Qing Wu
2006	C	`conf`	Adaptive low-power bus encoding based on weighted code mapping. ISCAS Avnish R. Brahmbhatt, Jingyi Zhang, Qinru Qiu, Qing Wu
2006	C	`conf`	Design considerations for digital circuits using organic thin film transistors on a flexible substrate. ISCAS Qing Wu, Jingyi Zhang, Qinru Qiu
2006	A	`conf`	Distributed genetic algorithm for energy-efficient resource management in sensor networks. GECCO Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer
2006	A	`conf`	Lifetime aware resource management for sensor network using distributed genetic algorithm. ISLPED Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer
2006	—	`conf`	Low-Density Parity-Check Coded Distributed Space-Time Cooperative System. VTC Spring Bo Dong, Lin Xie, Peiliang Qiu, Qinru Qiu
2006	A*	`conf`	Low-power bus encoding using an adaptive hybrid algorithm. DAC Avnish R. Brahmbhatt, Jingyi Zhang, Qing Wu, Qinru Qiu
2006	C	`conf`	Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems. ICCD Shaobo Liu, Qinru Qiu, Qing Wu
2006	—	`conf`	Workload prediction and dynamic voltage scaling for MPEG decoding. ASP-DAC Ying Tan, Parth Malani, Qinru Qiu, Qing Wu
2005	—	`conf`	Partitioned bus coding for energy reduction. ASP-DAC Lin Xie, Peiliang Qiu, Qinru Qiu
2004	A	`conf`	ESACW: an adaptive algorithm for transmission power reduction in wireless networks. ISLPED Hang Su, Peiliang Qiu, Qinru Qiu
2001	A*	`conf`	Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service. DAC Qinru Qiu, Qing Wu, Massoud Pedram
2001	J	`jnl`	Estimation of peak power dissipation in VLSI circuits using thelimiting distributions of extreme order statistics. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Qing Wu, Qinru Qiu, Massoud Pedram
2001	J	`jnl`	Stochastic modeling of a power-managed system-construction andoptimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Qinru Qiu, Qing Qu, Massoud Pedram
2000	—	`conf`	An interleaved dual-battery power supply for battery-operated electronics. ASP-DAC Qing Wu, Qinru Qiu, Massoud Pedram
2000	A*	`conf`	Dynamic power management of complex systems using generalized stochastic Petri nets. DAC Qinru Qiu, Qing Wu, Massoud Pedram
1999	A*	`conf`	Dynamic Power Management Based on Continuous-Time Markov Decision Processes. DAC Qinru Qiu, Massoud Pedram
1999	A	`conf`	Stochastic modeling of a power-managed system: construction and optimization. ISLPED Qinru Qiu, Qing Wu, Massoud Pedram
1998	J	`jnl`	Cycle-accurate macro-models for RT-level power analysis. IEEE Trans. Very Large Scale Integr. Syst. Qing Wu, Qinru Qiu, Massoud Pedram, Chih-Shun Ding
1998	A*	`conf`	Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics. DAC Qinru Qiu, Qing Wu, Massoud Pedram
1997	A	`conf`	Cycle-accurate macro-models for RT-level power analysis. ISLPED Qinru Qiu, Qing Wu, Massoud Pedram, Chih-Shun Ding