| 2026 | DATE | Learning to Sense Without ADCs: Exploiting Phasic Responses from Diffusive Memristors. | Zhenhang Zhang, Jingang Jin, Ruoyu Zhao, Zixu Wang, Tong Wang, Rui Zuo, J. Joshua Yang, Qinru Qiu |
| 2026 | WACV | SAFER-AiD: Saccade-Assisted Foveal-peripheral vision Enhanced Reconstruction for Adversarial Defense. | Jiayang Liu, Daniel Tso, Yiming Bu, Qinru Qiu |
| 2025 | CVPR | LVP-CLIP: Revisiting CLIP for Continual Learning with Label Vector Pool. | Yue Ma, Huantao Ren, Boyu Wang, Jingang Jin, Senem Velipasalar, Qinru Qiu |
| 2025 | IJCAI | Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning. | Rui Zuo, Simon Khan, Zifan Wang, Garrett Ethan Katz, Qinru Qiu |
| 2025 | IJCNN | Event Prediction and Quality-adaptive Attention for Energy and Data Efficient Dynamic Visual Sensing. | Yiming Bu, Simon Khan, Jiayang Liu, Qinru Qiu |
| 2025 | NeSy | Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products. | Ruipeng Liu, Qinru Qiu, Simon Khan, Garrett Ethan Katz |
| 2024 | ASPDAC | SOLSA: Neuromorphic Spatiotemporal Online Learning for Synaptic Adaptation. | Zhenhang Zhang, Jingang Jin, Haowen Fang, Qinru Qiu |
| 2024 | ECAI | Prompt-Based Domain Incremental Learning with Modular Classification Layer. | Boyu Wang, Yue Ma, Qinru Qiu |
| 2024 | ICLR | Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling. | Jiayang Liu, Yiming Bu, Daniel Tso, Qinru Qiu |
| 2023 | ECAI | Multi-Agent Cooperative Games Using Belief Map Assisted Training. | Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu |
| 2023 | RTSS | Catch You if Pay Attention: Temporal Sensor Attack Diagnosis Using Attention Mechanisms for Cyber-Physical Systems. | Zifan Wang, Lin Zhang, Qinru Qiu, Fanxin Kong |
| 2022 | ASPDAC | Neural Network Pruning and Fast Training for DRL-based UAV Trajectory Planning. | Yilan Li, Haowen Fang, Mingyang Li, Yue Ma, Qinru Qiu |
| 2021 | DAC | Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. | Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu |
| 2021 | DAC | In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. | Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu |
| 2021 | ISCAS | 1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. | Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li |
| 2020 | AAAI | Embedding Compression with Isotropic Iterative Quantization. | Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan |
| 2020 | ASPDAC | Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. | Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang |
| 2020 | ICCAD | Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. | Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu |
| 2020 | IJCAI | Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. | Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu |
| 2020 | IJCNN | Multivariate Time Series Classification Using Spiking Neural Networks. | Haowen Fang, Amar Shrestha, Qinru Qiu |
| 2020 | ICPR | MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level. | Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu |
| 2020 | IJCNN | Automatic Image Labeling with Click Supervision on Aerial Images. | Krittaphat Pugdeethosapol, Morgan Bishop, Dennis Bowen, Qinru Qiu |
| 2020 | IJCNN | GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction. | Ziyi Zhao, Haowen Fang, Zhao Jin, Qinru Qiu |
| 2020 | IJCNN | Mission-Aware Spatio-Temporal Deep Learning Model for UAS Instantaneous Density Prediction. | Ziyi Zhao, Zhao Jin, Wentian Bai, Wentan Bai, Carlos Caicedo, Mustafa Cenk Gursoy, Qinru Qiu |
| 2019 | HPCA | E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. | Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang |
| 2019 | ICCAD | An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics. | Haowen Fang, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu |
| 2019 | RTCSA | Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. | Yilan Li, Hongjia Li, Zhe Li, Haowen Fang, Amit K. Sanyal, Yanzhi Wang, Qinru Qiu |
| 2019 | RTCSA | 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, Qinru Qiu |
| 2018 | AAAI | Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. | Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin |
| 2018 | CCGRID | Optimizing Data Transfers for Improved Performance on Shared GPUs Using Reinforcement Learning. | Ryan S. Luley, Qinru Qiu |
| 2018 | FPGA | C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. | Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang |
| 2018 | ICLR | Efficient Recurrent Neural Networks using Structured Matrices in FPGAs. | Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang |
| 2018 | IJCNN | Scalable NoC-based Neuromorphic Hardware Learning and Inference. | Haowen Fang, Amar Shrestha, De Ma, Qinru Qiu |
| 2018 | ICPR | Learning Topics Using Semantic Locality. | Ziyi Zhao, Krittaphat Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, Qinru Qiu |
| 2017 | ASPDAC | Towards acceleration of deep convolutional neural networks using stochastic computing. | Ji Li, Ao Ren, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang |
| 2017 | ASPLOS | SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing. | Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan |
| 2017 | DATE | Real-time anomaly detection for streaming data using burst code on a neurosynaptic processor. | Qiuwen Chen, Qinru Qiu |
| 2017 | DATE | Structural design optimization for deep convolutional neural networks using stochastic computing. | Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Bo Yuan, Jeffrey Draper, Yanzhi Wang |
| 2017 | ICCAD | Energy-efficient, high-performance, highly-compressed deep neural network design using block-circulant matrices. | Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, Bo Yuan |
| 2017 | ICCAD | 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 |
| 2017 | ICDCS | A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. | Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang |
| 2017 | IJCNN | Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks. | Ji Li, Zihao Yuan, Zhe Li, Caiwen Ding, Ao Ren, Qinru Qiu, Jeffrey Draper, Yanzhi Wang |
| 2017 | IJCNN | Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning. | Amar Shrestha, Khadeer Ahmed, Yanzhi Wang, Qinru Qiu |
| 2017 | MICRO | CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. | 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 |
| 2016 | ICCD | DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. | Zhe Li, Ao Ren, Ji Li, Qinru Qiu, Yanzhi Wang, Bo Yuan |
| 2016 | IJCNN | Simulation of bayesian learning and inference on distributed stochastic spiking neural networks. | Khadeer Ahmed, Amar Shrestha, Qinru Qiu |
| 2016 | IJCNN | Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor. | Khadeer Ahmed, Amar Shrestha, Qinru Qiu, Qing Wu |
| 2016 | IJCNN | Enhancing bidirectional association between deep image representations and loosely correlated texts. | Qiuwen Chen, Qinru Qiu |
| 2016 | ISCAS | Towards memristor based accelerator for sparse matrix vector multiplication. | Jianwei Cui, Qinru Qiu |
| 2015 | DAC | Cloning your mind: security challenges in cognitive system designs and their solutions. | Beiye Liu, Chunpeng Wu, Hai Li, Yiran Chen, Qing Wu, Mark Barnell, Qinru Qiu |
| 2015 | FCCM | FPGA Acceleration of Recurrent Neural Network Based Language Model. | Sicheng Li, Chunpeng Wu, Hai Li, Boxun Li, Yu Wang, Qinru Qiu |
| 2015 | IJCNN | Self-structured confabulation network for fast anomaly detection and reasoning. | Qiuwen Chen, Qing Wu, Morgan Bishop, Richard W. Linderman, Qinru Qiu |
| 2015 | ISCAS | The applications of memristor devices in next-generation cortical processor designs. | Hai Li, Beiye Liu, Xiaoxiao Liu, Mengjie Mao, Yiran Chen, Qing Wu, Qinru Qiu |
| 2014 | ASPDAC | The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design. | Miao Hu, Yu Wang, Qinru Qiu, Yiran Chen, Hai Li |
| 2014 | CogSIMA | A confabulation model for abnormal vehicle events detection in wide-area traffic monitoring. | Qiuwen Chen, Qinru Qiu, Qing Wu, Morgan Bishop, Mark Barnell |
| 2014 | DATE | Battery aware stochastic QoS boosting in mobile computing devices. | Hao Shen, Qiuwen Chen, Qinru Qiu |
| 2014 | DATE | Contention aware frequency scaling on CMPs with guaranteed quality of service. | Hao Shen, Qinru Qiu |
| 2014 | IJCNN | Accelerating pattern matching in neuromorphic text recognition system using Intel Xeon Phi coprocessor. | Khadeer Ahmed, Qinru Qiu, Parth Malani, Mangesh Tamhankar |
| 2014 | ISCAS | Bio-inspired computing with resistive memories - models, architectures and applications. | Qing Wu, Beiye Liu, Yiran Chen, Hai Li, Qiuwen Chen, Qinru Qiu |
| 2013 | ASPDAC | Improving energy efficiency for energy harvesting embedded systems. | Yang Ge, Yukan Zhang, Qinru Qiu |
| 2013 | DAC | Improving charging efficiency with workload scheduling in energy harvesting embedded systems. | Yukan Zhang, Yang Ge, Qinru Qiu |
| 2013 | DATE | User-aware energy efficient streaming strategy for smartphone based video playback applications. | Hao Shen, Qinru Qiu |
| 2013 | ICCAD | A neuromorphic architecture for anomaly detection in autonomous large-area traffic monitoring. | Qiuwen Chen, Qinru Qiu, Hai Li, Qing Wu |
| 2012 | ISLPED | A game theoretic resource allocation for overall energy minimization in mobile cloud computing system. | Yang Ge, Yukan Zhang, Qinru Qiu, Yung-Hsiang Lu |
| 2011 | DAC | Dynamic thermal management for multimedia applications using machine learning. | Yang Ge, Qinru Qiu |
| 2011 | ICCCN | An FPGA-Based Distributed Computing System with Power and Thermal Management Capabilities. | Hao Shen, Qinru Qiu |
| 2011 | IJCNN | Unified perception-prediction model for context aware text recognition on a heterogeneous many-core platform. | Qinru Qiu, Qing Wu, Richard W. Linderman |
| 2010 | DAC | Distributed task migration for thermal management in many-core systems. | Yang Ge, Parth Malani, Qinru Qiu |
| 2010 | DATE | Enhanced Q-learning algorithm for dynamic power management with performance constraint. | Wei Liu, Ying Tan, Qinru Qiu |
| 2010 | ISLPED | Load-matching adaptive task scheduling for energy efficiency in energy harvesting real-time embedded systems. | Shaobo Liu, Jun Lu, Qing Wu, Qinru Qiu |
| 2009 | DAC | An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems. | Shaobo Liu, Qing Wu, Qinru Qiu |
| 2009 | ICCAD | Adaptive power management using reinforcement learning. | Ying Tan, Wei Liu, Qinru Qiu |
| 2008 | DATE | Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting. | Shaobo Liu, Qinru Qiu, Qing Wu |
| 2008 | DATE | Adaptive Scheduling and Voltage Scaling for Multiprocessor Real-time Applications with Non-deterministic Workload. | Parth Malani, Prakash Mukre, Qinru Qiu, Qing Wu |
| 2008 | DATE | A Framework of Stochastic Power Management Using Hidden Markov Model. | Ying Tan, Qinru Qiu |
| 2008 | IJCNN | 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 |
| 2008 | ISLPED | A probabilistic technique for full-chip leakage estimation. | Shaobo Liu, Qinru Qiu, Qing Wu |
| 2008 | ISLPED | Bus encoding for simultaneous delay and energy optimization. | Jingyi Zhang, Qing Wu, Qinru Qiu |
| 2007 | CIBCB | Hybrid Architecture for Accelerating DNA Codeword Library Searching. | Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre |
| 2007 | DATE | Stochastic modeling and optimization for robust power management in a partially observable system. | Qinru Qiu, Ying Tan, Qing Wu |
| 2007 | DNA | Hardware Acceleration for Thermodynamic Constrained DNA Code Generation. | Qinru Qiu, Prakash Mukre, Morgan Bishop, Daniel J. Burns, Qing Wu |
| 2007 | GECCO | Hardware acceleration of multi-deme genetic algorithm for the application of DNA codeword searching. | Qinru Qiu, Daniel J. Burns, Prakash Mukre, Qing Wu |
| 2007 | ISCAS | Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach. | Parth Malani, Prakash Mukre, Qinru Qiu |
| 2006 | ASPDAC | Workload prediction and dynamic voltage scaling for MPEG decoding. | Ying Tan, Parth Malani, Qinru Qiu, Qing Wu |
| 2006 | DAC | Low-power bus encoding using an adaptive hybrid algorithm. | Avnish R. Brahmbhatt, Jingyi Zhang, Qing Wu, Qinru Qiu |
| 2006 | GECCO | Distributed genetic algorithm for energy-efficient resource management in sensor networks. | Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer |
| 2006 | ICCD | Task Merging for Dynamic Power Management of Cyclic Applications in Real-Time Multi-Processor Systems. | Shaobo Liu, Qinru Qiu, Qing Wu |
| 2006 | ISCAS | Adaptive low-power bus encoding based on weighted code mapping. | Avnish R. Brahmbhatt, Jingyi Zhang, Qinru Qiu, Qing Wu |
| 2006 | ISCAS | Design considerations for digital circuits using organic thin film transistors on a flexible substrate. | Qing Wu, Jingyi Zhang, Qinru Qiu |
| 2006 | ISLPED | Lifetime aware resource management for sensor network using distributed genetic algorithm. | Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer |
| 2006 | VTC | Low-Density Parity-Check Coded Distributed Space-Time Cooperative System. | Bo Dong, Lin Xie, Peiliang Qiu, Qinru Qiu |
| 2005 | ASPDAC | Partitioned bus coding for energy reduction. | Lin Xie, Peiliang Qiu, Qinru Qiu |
| 2004 | ISLPED | ESACW: an adaptive algorithm for transmission power reduction in wireless networks. | Hang Su, Peiliang Qiu, Qinru Qiu |
| 2001 | DAC | Dynamic Power Management in a Mobile Multimedia System with Guaranteed Quality-of-Service. | Qinru Qiu, Qing Wu, Massoud Pedram |
| 2000 | ASPDAC | An interleaved dual-battery power supply for battery-operated electronics. | Qing Wu, Qinru Qiu, Massoud Pedram |
| 2000 | DAC | Dynamic power management of complex systems using generalized stochastic Petri nets. | Qinru Qiu, Qing Wu, Massoud Pedram |
| 1999 | DAC | Dynamic Power Management Based on Continuous-Time Markov Decision Processes. | Qinru Qiu, Massoud Pedram |
| 1999 | ISLPED | Stochastic modeling of a power-managed system: construction and optimization. | Qinru Qiu, Qing Wu, Massoud Pedram |
| 1998 | DAC | Maximum Power Estimation Using the Limiting Distributions of Extreme Order Statistics. | Qinru Qiu, Qing Wu, Massoud Pedram |
| 1997 | ISLPED | Cycle-accurate macro-models for RT-level power analysis. | Qinru Qiu, Qing Wu, Massoud Pedram, Chih-Shun Ding |