World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
15798
World Ranking
4980
National Ranking
104

Electronics and Electrical Engineering

D-Index
50
Citations
14454
World Ranking
2744
National Ranking
53

Overview

Shih-Chii Liu is affiliated with the University of Zurich in Switzerland and specializes in research at the intersection of engineering and computer science. Their work spans 67 publications in engineering and 57 in computer science, with focused contributions in fields including electrical and electronic engineering, artificial intelligence, cognitive neuroscience, signal processing, and biomedical engineering.

Their research covers a range of topics, predominantly advanced memory and neural computing, ferroelectric and negative capacitance devices, speech and audio processing, neural dynamics and brain function, EEG and brain-computer interfaces, neural networks and reservoir computing, and advanced neural network applications.

Recent publication venues where Liu has contributed include arXiv (Cornell University), Zurich Open Repository and Archive (University of Zurich), Zenodo (CERN European Organization for Nuclear Research), IEEE Journal on Emerging and Selected Topics in Circuits and Systems, and IEEE Journal of Solid-State Circuits.

  • arXiv (Cornell University)
  • Zurich Open Repository and Archive (University of Zurich)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • IEEE Journal of Solid-State Circuits

Frequent coauthors of Liu include Tobi Delbrück, Yuhuang Hu, Ilya Kiselev, Chang Gao, and Kwantae Kim, with collaboration counts ranging from 9 to 20 joint works.

  • Tobi Delbrück
  • Yuhuang Hu
  • Ilya Kiselev
  • Chang Gao
  • Kwantae Kim

Among recent papers, the following are notable for their topics, publication years, and venues:

  • "Embedded Devices for Neuromorphic Time-Series Assessment" (2022), Maryland Shared Open Access Repository (USMAI Consortium)
  • "Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception" (2020), NeuroImage
  • "EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference" (2020), IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "2021 Roadmap on Neuromorphic Computing and Engineering" (2021), arXiv (Cornell University)
  • "Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity" (2022), IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor

    Christian Brändli;Raphael Berner;Minhao Yang;Shih-Chii Liu

  • Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

    Peter U. Diehl;Daniel Neil;Jonathan Binas;Matthew Cook

  • Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification.

    Bodo Rueckauer;Iulia-Alexandra Lungu;Yuhuang Hu;Michael Pfeiffer;Michael Pfeiffer

  • Memory and Information Processing in Neuromorphic Systems

    Giacomo Indiveri;Shih-Chii Liu

  • Real-time classification and sensor fusion with a spiking deep belief network

    Peter O'Connor;Daniel Neil;Shih-Chii Liu;Tobi Delbruck

  • Neuromorphic sensory systems.

    Shih-Chii Liu;Tobi Delbruck

  • Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

    Daniel Neil;Michael Pfeiffer;Shih-Chii Liu

  • CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

    R. Serrano-Gotarredona;M. Oster;P. Lichtsteiner;A. Linares-Barranco

  • Analog VLSI: Circuits and Principles

    Shih-Chii Liu;Tobias Delbruck;Jorgene Kramer;Giacomo Indiveri

  • v2e: From Video Frames to Realistic DVS Events

    Yuhuang Hu;Shih-Chii Liu;Tobi Delbruck

  • AER EAR: A Matched Silicon Cochlea Pair With Address Event Representation Interface

    V. Chan;Shih-Chii Liu;A. van Schaik

  • NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

    Alessandro Aimar;Hesham Mostafa;Enrico Calabrese;Antonio Rios-Navarro

  • Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

    Daniel Neil;Shih-Chii Liu

  • Event-Based Neuromorphic Systems

    Shih-Chii Liu;Tobi Delbruck;Giacomo Indiveri;Adrian Whatley

  • Conversion of analog to spiking neural networks using sparse temporal coding

    Bodo Rueckauer;Shih-Chii Liu

  • Orientation-selective aVLSI spiking neurons.

    Shih-Chii Liu;Jörg Kramer;Giacomo Indiveri;Tobias Delbrück

  • Orientation-Selective aVLSI Spiking Neurons

    Shih-Chii Liu;Jörg Kramer;Giacomo Indiveri;Tobi Delbrück

  • DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator

    Chang Gao;Daniel Neil;Enea Ceolini;Shih-Chii Liu

  • FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing

    Yi Luo;Cong Han;Nima Mesgarani;Enea Ceolini

  • DDD17: End-To-End DAVIS Driving Dataset

    Jonathan Binas;Daniel Neil;Shih-Chii Liu;Tobi Delbruck

  • FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing

    Yi Luo;Enea Ceolini;Cong Han;Shih-Chii Liu

Frequent Co-Authors

Tobi Delbruck
Tobi Delbruck ETH Zurich
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Michael Pfeiffer
Michael Pfeiffer Bosch Center for Artificial Intelligence
Carver A. Mead
Carver A. Mead California Institute of Technology
Arindam Basu
Arindam Basu City University of Hong Kong
Nima Mesgarani
Nima Mesgarani Columbia University
Teresa Serrano-Gotarredona
Teresa Serrano-Gotarredona University of Seville
Steve Furber
Steve Furber University of Manchester
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville

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