Shih-Chii Liu

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 140

Top Venues

Publications

Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. AAAI (2024)
Chang Gao, Tobi Delbruck, Shih-Chii Liu
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbrück, Shih-Chii Liu
A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM. CoRR (2024)
Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CoRR (2024)
Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. ISCAS (2024)
Joachim Ott, Zuowen Wang, Shih-Chii Liu
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. CoRR (2024)
Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. CoRR (2024)
Joachim Ott, Zuowen Wang, Shih-Chii Liu
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. NICE (2024)
Kwantae Kim, Shih-Chii Liu
A 3.11 μ W 40 n V/ ✓Hz Instrumentation Amplifier for Bio-Impedance Sensors Exploiting Positive-Feedback-Assisted Gain Boosting. ISCAS (2023)
Hasan Mohamed, Bogdan Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Küçükoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez, Shih-Chii Liu
A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis. BioCAS (2023)
Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu
An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting. ISCAS (2023)
Joachim Ott, Shih-Chii Liu
Biologically-Inspired Continual Learning of Human Motion Sequences. ICASSP (2023)
Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. CoRR (2023)
Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. CoRR (2023)
Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. BioCAS (2023)
Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (4) (2023)
Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing. UniReps (2023)
Shu Wang, Meritxell Rovira, Silvia Demuru, Céline Lafaye, Jaemin Kim, Brince Paul Kunnel, Cyril Besson, César Fernández-Sánchez, Francisco Serra-Graells, Josep Maria Margarit-Taulé, Joan Aymerich, Javier Cuenca, Ilya Kiselev, Vincent Gremeaux, Mathieu Saubade, Cecilia Jiménez-Jorquera, Danick Briand, Shih-Chii Liu
Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature. IEEE Trans. Biomed. Circuits Syst. 17 (4) (2023)
Shu Wang, Meritxell Rovira, Yuhuang Hu, Cecilia Jiménez-Jorquera, Shih-Chii Liu
End-to-End Prediction of Sodium Concentration from Uncalibrated Sodium ISFETs. ISCAS (2023)
Sheng Zhou, Xi Chen, Kwantae Kim, Shih-Chii Liu
High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier. AICAS (2023)
Joachim Ott, Shih-Chii Liu
Biologically-Inspired Continual Learning of Human Motion Sequences. CoRR (2022)
Yuhuang Hu, Shih-Chii Liu
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks. ICPR (2022)
Shu Wang, Céline Lafaye, Mathieu Saubade, Cyril Besson, Josep Maria Margarit-Taulé, Vincent Gremeaux, Shih-Chii Liu
Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization. CoRR (2022)
Bodo Rueckauer, Shih-Chii Liu
Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing. IEEE Trans. Circuits Syst. Video Technol. 32 (2) (2022)
Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction. CoRR (2022)
Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction. ISSCC (2022)
Zuowen Wang, Shu Wang, Céline Lafaye, Mathieu Saubade, Vincent Gremeaux, Shih-Chii Liu
Person identification using deep neural networks on physiological biomarkers during exercise. BioCAS (2022)
Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar
Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization. ICASSP (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (2022)
Shu Wang, Yuhuang Hu, Shih-Chii Liu
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events. CoRR (2022)
Shu Wang, Yuhuang Hu, Shih-Chii Liu
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events. ICASSP (2022)
Zuowen Wang, Yuhuang Hu, Shih-Chii Liu
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers. ICIP (2022)
Johanna Hedlund Lindmar, Chang Gao, Shih-Chii Liu
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference. AICAS (2022)
Ilya Kiselev, Chang Gao, Shih-Chii Liu
Spiking Cochlea With System-Level Local Automatic Gain Control. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (5) (2022)
Yuhuang Hu, Shih-Chii Liu
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks. CoRR (2022)
Ilya Kiselev, Chang Gao, Shih-Chii Liu
Spiking Cochlea with System-level Local Automatic Gain Control. CoRR (2022)
Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu
A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction. IEEE J. Solid State Circuits 57 (11) (2022)
Céline Lafaye, Meritxell Rovira, Silvia Demuru, Shu Wang, Jaemin Kim, Brince Paul Kunnel, Cyril Besson, César Fernández-Sánchez, Francisco Serra-Graells, Josep Maria Margarit-Taulé, Joan Aymerich, Javier Cuenca, Ilya Kiselev, Vincent Gremeaux, Mathieu Saubade, Cecilia Jiménez-Jorquera, Danick Briand, Shih-Chii Liu
Real-time smart multisensing wearable platform for monitoring sweat biomarkers during exercise. BioCAS (2022)
Zuowen Wang, Yuhuang Hu, Shih-Chii Liu
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers. CoRR (2022)
Kwantae Kim, Shih-Chii Liu
Continuous-Time Analog Filters for Audio Edge Intelligence: Review and Analysis on Design Techniques. CoRR (2022)
Qinyu Cheni, Bodo Rueckauer, Li Li, Tobi Delbrück, Shih-Chii Liu
Reducing Latency in a Converted Spiking Video Segmentation Network. ISCAS (2021)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
Ilya Kiselev, Shih-Chii Liu
Event-Driven Local Gain Control on a Spiking Cochlea Sensor. ISCAS (2021)
Xi Chen, Chang Gao, Tobi Delbrück, Shih-Chii Liu
EILE: Efficient Incremental Learning on the Edge. AICAS (2021)
Yuhuang Hu, Shih-Chii Liu, Tobi Delbrück
v2e: From Video Frames to Realistic DVS Events. CVPR Workshops (2021)
Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu
LiteEdge: Lightweight Semantic Edge Detection Network. ICCVW (2021)
Shih-Chii Liu, John Paul Strachan, Arindam Basu
Prospects for Analog Circuits in Deep Networks. CoRR (2021)
Chang Gao, Tobi Delbrück, Shih-Chii Liu
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity. CoRR (2021)
Bodo Rueckauer, Shih-Chii Liu
Temporal Pattern Coding in Deep Spiking Neural Networks. IJCNN (2021)
Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. CoRR (2020)
Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu
Optimal Sampling of Parametric Families: Implications for Machine Learning. Neural Comput. 32 (1) (2020)
Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks. ECCV (16) (2020)
Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. CoRR (2020)
Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator. CoRR (2020)
Tobi Delbrück, Shih-Chii Liu
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators. CoRR (2020)
Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (4) (2020)
Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu
Exploiting Event Cameras by Using a Network Grafting Algorithm. CoRR (2020)
Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. ITSC (2020)
Shu Wang, Yuhuang Hu, Javier Burgués, Santiago Marco, Shih-Chii Liu
Prediction of Gas Concentration Using Gated Recurrent Neural Networks. AICAS (2020)
Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück
Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator. ICRA (2020)
Chang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbrück, Shih-Chii Liu
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference. AICAS (2020)
Iulia-Alexandra Lungu, Alessandro Aimar, Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu
Siamese Networks for Few-Shot Learning on Edge Embedded Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (4) (2020)
Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas
Lessons Learned the Hard Way. ISCAS (2020)
Enea Ceolini, Jens Hjortkjær, Daniel D. E. Wong, James O'Sullivan, Vinay S. Raghavan, Jose Herrero, Ashesh D. Mehta, Shih-Chii Liu, Nima Mesgarani
Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception. NeuroImage 223 (2020)
Enea Ceolini, Ilya Kiselev, Shih-Chii Liu
Evaluating Multi-Channel Multi-Device Speech Separation Algorithms in the Wild: A Hardware-Software Solution. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Iulia-Alexandra Lungu, Yuhuang Hu, Shih-Chii Liu
Multi-Resolution Siamese Networks for One-Shot Learning. AICAS (2020)
Bodo Rueckauer, Shih-Chii Liu
Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data. EUSIPCO (2019)
Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu
Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator. ISCAS (2019)
Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück
Incremental Learning of Hand Symbols Using Event-Based Cameras. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (4) (2019)
Enea Ceolini, Shih-Chii Liu
Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network. MLSP (2019)
Enea Ceolini, Jithendar Anumula, Stefan Braun, Shih-Chii Liu
Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System. ICASSP (2019)
Josep Maria Margarit-Taulé, Pablo Giménez-Gómez, Roger Escudé-Pujol, Manuel Gutiérrez-Capitán, Cecilia Jiménez-Jorquera, Shih-Chii Liu
Live Demonstration: A Portable Microsensor Fusion System with Real-Time Measurement for On-Site Beverage Tasting. ISCAS (2019)
Stefan Braun, Shih-Chii Liu
Parameter Uncertainty for End-to-end Speech Recognition. ICASSP (2019)
Yi Luo, Enea Ceolini, Cong Han, Shih-Chii Liu, Nima Mesgarani
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing. CoRR (2019)
Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu
Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator. ISCAS (2019)
Matthew Thornton, Jithendar Anumula, Shih-Chii Liu
Reducing state updates via Gaussian-gated LSTMs. CoRR (2019)
Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück
Fast event-driven incremental learning of hand symbols. AICAS (2019)
Adrian E. G. Huber, Shih-Chii Liu
Filtering of Nonuniformly Sampled Bandlimited Functions. IEEE Signal Process. Lett. 26 (7) (2019)
Bodo Rückauer, Nicolas Känzig, Shih-Chii Liu, Tobi Delbrück, Yulia Sandamirskaya
Closing the Accuracy Gap in an Event-Based Visual Recognition Task. CoRR (2019)
Enea Ceolini, Ilya Kiselev, Shih-Chii Liu
Audio classification systems using deep neural networks and an event-driven auditory sensor. IEEE SENSORS (2019)
Xiaoya Li, Daniel Neil, Tobi Delbrück, Shih-Chii Liu
Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors. ISCAS (2019)
Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbrück
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Shih-Chii Liu, Bodo Rueckauer, Enea Ceolini, Adrian E. G. Huber, Tobias Delbrück
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms. IEEE Signal Process. Mag. 36 (6) (2019)
Minhao Yang, Shih-Chii Liu, Mingoo Seok, Christian C. Enz
Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification. ASICON (2019)
Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu
Attention-driven Multi-sensor Selection. IJCNN (2019)
Alejandro Linares-Barranco, Fernando Perez-Peña, Diederik Paul Moeys, Francisco Gomez-Rodriguez, Gabriel Jiménez-Moreno, Shih-Chii Liu, Tobi Delbrück
Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications. IEEE Access 7 (2019)
Yi Luo, Cong Han, Nima Mesgarani, Enea Ceolini, Shih-Chii Liu
FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing. ASRU (2019)
Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David Wolpert, J. Joshua Yang, Yan Yufik
Thermodynamic Computing. CoRR (2019)
Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu
Incremental Learning Meets Reduced Precision Networks. ISCAS (2019)
Tobi Delbrück, Shih-Chii Liu
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators. ACSSC (2019)
Bodo Rueckauer, Shih-Chii Liu
Conversion of analog to spiking neural networks using sparse temporal coding. ISCAS (2018)
Chen-Han Chien, Shih-Chii Liu, Andreas Steimer
A Neuromorphic VLSI Circuit for Spike-Based Random Sampling. IEEE Trans. Emerg. Top. Comput. 6 (1) (2018)
Adrian E. G. Huber, Shih-Chii Liu
On Approximation of Bandlimited Functions with Compressed Sensing. ICASSP (2018)
Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu
Multi-channel Attention for End-to-End Speech Recognition. INTERSPEECH (2018)
Yuhuang Hu, Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu
Overcoming the vanishing gradient problem in plain recurrent networks. CoRR (2018)
Enea Ceolini, Jithendar Anumula, Adrian E. G. Huber, Ilya Kiselev, Shih-Chii Liu
Speaker Activity Detection and Minimum Variance Beamforming for Source Separation. INTERSPEECH (2018)
Chen-Han Chien, Luca Longinotti, Andreas Steimer, Shih-Chii Liu
Hardware Implementation of an Event-Based Message Passing Graphical Model Network. IEEE Trans. Circuits Syst. I Regul. Pap. (9) (2018)
Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbrück
DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. FPGA (2018)
Jithendar Anumula, Enea Ceolini, Zhe He, Adrian E. G. Huber, Shih-Chii Liu
An event-driven probabilistic model of sound source localization using cochlea spikes. ISCAS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shih-Chii Liu