World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7080
World Ranking
7645
National Ranking
3311

Research.com Recognitions

  • 2019 - ACM Senior Member

Overview

Qinru Qiu is affiliated with Syracuse University in the United States. Their research spans multiple fields primarily within computer science and engineering, with significant contributions to subfields such as computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, cognitive neuroscience, and aerospace engineering.

The core topics of Qinru Qiu's work include advanced memory and neural computing, neural dynamics and brain function, neural networks and reservoir computing, advanced image and video retrieval techniques, multimodal machine learning applications, photoreceptor and optogenetics research, and robotic path planning algorithms.

Qiu has published extensively, with notable papers including:

  • "A Survey on Neuromorphic Computing: Models and Hardware" (2022), IEEE Circuits and Systems Magazine
  • "Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence" (2020), iScience
  • "In-memory and in-sensor reservoir computing with memristive devices" (2024), APL Machine Learning
  • "Compressive strain in high-entropy alloy for high-performance acidic oxygen evolution" (2025), Matter
  • "GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction" (2020), arXiv (Cornell University)

Their frequent coauthors include Haowen Fang, Amar Shrestha, Zaidao Mei, Daniel Patrick Rider, and Simon Khan. These collaborations have contributed to the breadth of Qiu's research output.

Qiu's publications have appeared in various academic venues, with a significant number of works published through arXiv (Cornell University). Other frequent publication venues include IEEE Circuits and Systems Magazine, Energies, ACM Journal on Emerging Technologies in Computing Systems, and iScience.

Their work in computer science and engineering is recognized also through an ACM Senior Member award received in 2019. Their research outputs reflect interdisciplinary approaches covering both fundamental and applied topics across neural computing technologies, machine learning, and advanced materials for computational devices.

Best Publications

  • Dynamic power management based on continuous-time Markov decision processes

    Qinru Qiu;Massoud Pedram

  • Reinforcement learning with analogue memristor arrays

    Zhongrui Wang;Can Li;Wenhao Song;Mingyi Rao

  • A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

    Ning Liu;Zhe Li;Jielong Xu;Zhiyuan Xu

  • In situ training of feed-forward and recurrent convolutional memristor networks

    Zhongrui Wang;Can Li;Can Li;Peng Lin;Mingyi Rao

  • Capacitive neural network with neuro-transistors.

    Zhongrui Wang;Mingyi Rao;Jin Woo Han;Jiaming Zhang

  • CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices

    Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li

  • C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

    Shuo Wang;Zhe Li;Caiwen Ding;Bo Yuan

  • Stochastic modeling of a power-managed system-construction and optimization

    Q. Qiu;Q. Qu;M. Pedram

  • CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

    Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li

  • SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

    Ao Ren;Zhe Li;Caiwen Ding;Qinru Qiu

  • Adaptive power management using reinforcement learning

    Ying Tan;Wei Liu;Qinru Qiu

  • Distributed task migration for thermal management in many-core systems

    Yang Ge;Parth Malani;Qinru Qiu

  • Cycle-accurate macro-models for RT-level power analysis

    Qing Wu;Qinru Qiu;M. Pedram;Chih-Shun Ding

  • A game theoretic resource allocation for overall energy minimization in mobile cloud computing system

    Yang Ge;Yukan Zhang;Qinru Qiu;Yung-Hsiang Lu

  • Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy

    Shaobo Liu;Jun Lu;Qing Wu;Qinru Qiu

  • Energy aware dynamic voltage and frequency selection for real-time systems with energy harvesting

    Shaobo Liu;Qinru Qiu;Qing Wu

  • Achieving autonomous power management using reinforcement learning

    Hao Shen;Ying Tan;Jun Lu;Qing Wu

  • FPGA Acceleration of Recurrent Neural Network Based Language Model

    Sicheng Li;Chunpeng Wu;Hai Li;Boxun Li

  • Dynamic power management of complex systems using generalized stochastic Petri nets

    Qinru Qiu;Qing Wu;Massoud Pedram

  • An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems

    Shaobo Liu;Qing Wu;Qinru Qiu

  • Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

    Haowen Fang;Amar Shrestha;Ziyi Zhao;Qinru Qiu

  • SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

    Ao Ren;Ji Li;Zhe Li;Caiwen Ding

Frequent Co-Authors

Qing Wu
Qing Wu United States Air Force Research Laboratory
Yanzhi Wang
Yanzhi Wang Northeastern University
Bo Yuan
Bo Yuan Rutgers, The State University of New Jersey
Massoud Pedram
Massoud Pedram University of Southern California
M. Cenk Gursoy
M. Cenk Gursoy Syracuse University
Hai Li
Hai Li Duke University
Jian Tang
Jian Tang Syracuse University
Miao Hu
Miao Hu Binghamton University
J. Joshua Yang
J. Joshua Yang University of Southern California
Qiangfei Xia
Qiangfei Xia University of Massachusetts Amherst

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