Lingxiao Yang

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I work as Post-Doctoral Researcher at Sun Yat-sen University in Guangzhou, China. My research interests include computer vision and machine learning with a focus on object recognition, video understanding,and brain inspired computational model. More recently, I am also interested in more higher-level cognitive tasks (e.g., abstract visual reasoning).

Before joining the Sun Yat-sen University, I received my Ph.D. degree from the Hong Kong Polytechnic University in 2020 (March) on computer vision and machine learning.

News

Aug 31, 2023 One paper about brain decoding is accpeted by the Fundamental Research, which is a new research journal supervised by the National Natural Science Foundation of China (NSFC). Congratulation to all contributors.
Aug 30, 2023 Launching a new homepage.
Aug 18, 2023 I start a good journel to IJCAI-2023, and we have two papers to be presented at this conference. One is my own work on Abstract Visual Reasoning (AVR) – RuleMatch. RuleMatch maybe the first semi-supervised learning framework to address AVR problem. Another one is SpikeCount, a new training algorithm for SNNs.

Selected publications

2023

  1. ICML
    Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
    Lingxiao Yang, Hongzhi You, Zonglei Zhen, Dahui Wang, Xiaohong Wan, Xiaohua Xie, and Ru-Yuan Zhang
    In Proceedings of the International Conference on Machine Learning (ICML), 2023

2021

  1. ICML
    SimAM: A Simple, Parameter-free Attention Module for Convolutional Neural Networks
    Lingxiao Yang, Ru-Yuan Zhang, Lida Li, and Xiaohua Xie
    In Proceedings of the International Conference on Machine Learning (ICML), 2021