Yansong Chua

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Lateral Inhibition

State Space Model

Speech Enhancement

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR (2024)
Yu Du, Xu Liu, Yansong Chua
Spiking Structured State Space Model for Monaural Speech Enhancement. ICASSP (2024)
Tengjun Liu, Yansong Chua, Yiwei Zhang, Yuxiao Ning, Pengfu Liu, Guihua Wan, Zijun Wan, Shaomin Zhang, Weidong Chen
Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation. CoRR (2023)
Pengfei Sun, Ehsan Eqlimi, Yansong Chua, Paul Devos, Dick Botteldooren
Adaptive Axonal Delays in Feedforward Spiking Neural Networks for Accurate Spoken Word Recognition. ICASSP (2023)
Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Yu Du, Xu Liu, Yansong Chua
Spiking Structured State Space Model for Monaural Speech Enhancement. CoRR (2023)
Pengfei Sun, Ehsan Eqlimi, Yansong Chua, Paul Devos, Dick Botteldooren
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition. CoRR (2023)
Tengjun Liu, Yuxiao Ning, Pengfu Liu, Yiwei Zhang, Yansong Chua, Weidong Chen, Shaomin Zhang
Modularity Facilitates Classification Performance of Spiking Neural Networks for Decoding Cortical Spike Trains. EMBC (2023)
Lei Jiang, Yongqing Liu, Shihai Xiao, Yansong Chua
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks. CoRR (2022)
Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS (2022)
Timoleon Moraitis, Dmitry Toichkin, Adrien Journé, Yansong Chua, Qinghai Guo
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. Neuromorph. Comput. Eng. 2 (4) (2022)
Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
Training Spiking Neural Networks with Local Tandem Learning. CoRR (2022)
Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks. CoRR (2021)
Tasbolat Taunyazov, Yansong Chua, Ruihan Gao, Harold Soh, Yan Wu
Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network. IROS (2020)
Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li
Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing 409 (2020)
Malu Zhang, Jiadong Wang, Zhixuan Zhang, Ammar Belatreche, Jibin Wu, Yansong Chua, Hong Qu, Haizhou Li
Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks. CoRR (2020)
Laxmi R. Iyer, Yansong Chua
Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity. IJCNN (2020)
Roshan Gopalakrishnan, Yansong Chua, Ashish Jith Sreejith Kumar
Hardware-friendly Neural Network Architecture for Neuromorphic Computing. CoRR (2019)
Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR (2019)
Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua
Competitive STDP-based Feature Representation Learning for Sound Event Classification. IJCNN (2019)
Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah
An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks. CoRR (2019)
Zihan Pan, Jibin Wu, Malu Zhang, Haizhou Li, Yansong Chua
Neural Population Coding for Effective Temporal Classification. IJCNN (2019)
Roshan Gopalakrishnan, Ashish Jith Sreejith Kumar, Yansong Chua
MaD: Mapping and debugging framework for implementing deep neural network onto a neuromorphic chip with crossbar array of synapses. CoRR (2019)
Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN (2019)
Zihan Pan, Jibin Wu, Yansong Chua, Malu Zhang, Haizhou Li
Neural Population Coding for Effective Temporal Classification. CoRR (2019)
Yukuan Yang, Lei Deng, Peng Jiao, Yansong Chua, Jing Pei, Cheng Ma, Guoqi Li
Transfer Learning in General Lensless Imaging through Scattering Media. CoRR (2019)
Jibin Wu, Zihan Pan, Malu Zhang, Rohan Kumar Das, Yansong Chua, Haizhou Li
Robust Sound Recognition: A Neuromorphic Approach. INTERSPEECH (2019)
Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan
A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks. CoRR (2019)
Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons. AAAI (2019)
Laxmi R. Iyer, Yansong Chua, Haizhou Li
Is Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain. CoRR (2018)
Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer
Classifying neuromorphic data using a deep learning framework for image classification. CoRR (2018)
Jibin Wu, Yansong Chua, Haizhou Li
A Biologically Plausible Speech Recognition Framework Based on Spiking Neural Networks. IJCNN (2018)
Zihan Pan, Haizhou Li, Jibin Wu, Yansong Chua
An Event-Based Cochlear Filter Temporal Encoding Scheme for Speech Signals. IJCNN (2018)
Roshan Gopalakrishnan, Yansong Chua, Laxmi R. Iyer
Classifying Neuromorphic Data Using a Deep Learning Framework for Image Classification. ICARCV (2018)
Yansong Chua, Cheston Tan
Multiple Plasticity Mechanisms Enhance Associative Memory Retrieval in a Spiking Network Model of the Hippocampus. AAAI Spring Symposia (2017)
Yansong Chua, Abigail Morrison
Effects of Calcium Spikes in the Layer 5 Pyramidal Neuron on Coincidence Detection and Activity Propagation. Frontiers Comput. Neurosci. 10 (2016)
Yansong Chua, Moritz Helias, Abigail Morrison
Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime. Frontiers Comput. Neurosci. 9 (2015)