IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SS-12: Towards Neuromorphic Machine Intelligence: Spike-based Representation, Learning, and Signal Processing
Wed, 11 May, 22:00 - 22:45 China Time (UTC +8)
Wed, 11 May, 14:00 - 14:45 UTC
Location: Gather Area A
Session Co-Chairs: Haizhou Li, The Chinese University of Hongkong and Jibin Wu, National University of Singapore and Malu Zhang, National University of Singapore
Track: Special Sessions

SS-12.1: MOTIF-TOPOLOGY AND REWARD-LEARNING IMPROVED SPIKING NEURAL NETWORK FOR EFFICIENT MULTI-SENSORY INTEGRATION
Shuncheng Jia, Tielin Zhang, Hongxing Liu, Bo Xu, Institute of Automation, Chinese Academy of Sciences, China; Ruichen Zuo, School of Information and Electronics, Beijing Institute of Technology, China

SS-12.2: EVENT-BASED MULTIMODAL SPIKING NEURAL NETWORK WITH ATTENTION MECHANISM
Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan, Zhejiang University, China

SS-12.3: GRADUAL SURROGATE GRADIENT LEARNING IN DEEP SPIKING NEURAL NETWORKS
Yi Chen, Silin Zhang, Shiyu Ren, Hong Qu, University of Electronic Science and Technology of China, China

SS-12.4: AXONAL DELAY AS A SHORT-TERM MEMORY FOR FEED FORWARD DEEP SPIKING NEURAL NETWORKS
Pengfei Sun, Dick Botteldooren, Ghent University, Belgium; Longwei Zhu, Institute for Infocomm Research, A*STAR, Singapore

SS-12.5: Low Precision Local Learning for Hardware-friendly Neuromorphic Visual Recognition
Jyotibdha Acharya, Laxmi R Iyer, Wenyu Jiang, Institute of Infocomm Research, A*STAR, Singapore

SS-12.6: A HYBRID LEARNING FRAMEWORK FOR DEEP SPIKING NEURAL NETWORKS WITH ONE-SPIKE TEMPORAL CODING
Jiadong Wang, Jibin Wu, Malu Zhang, Qi Liu, Haizhou Li, National University of Singapore, Singapore