About

Welcome! This is the homepage of Lang Zhang, a CS PhD student at Virginia Tech advised by Prof. Bo Ji in 2023 fall. My current interest focuses on multimodal learning, and eye-tracking analysis. I have a particular interest in human-centered applications. Check “CV PDF” here.

News

[Feb. 2024] The paper “Belief Re´nyi Divergence of Divergence and Its Application in Time Series Classification” is published on TKDE. (JCR-1, IF = 8.9).

[May. 2023] The paper “Multi-channel EEG Signals Classification Via CNN and Multi-head Self-attention on Evidence Theory” is published on Information Sciences. (JCR-1, IF = 8.233).

[Feb. 2023] I got the Phd student position in the Department of Computer Science at Virginia Tech.

[Nov. 2022] The paper “Belief Kullback-Leibler Divergence-based Dynamical Complexity Analysis for Biological Systems” is accepted by ISCT.

[Dec. 2022] The paper “Belief χ2 Divergence-Based Dynamical Complexity Analysis for Biological Systems” is accepted by ML4CS.

[May. 2022] The paper “A novel χ2 divergence for multisource information fusion and its application in pattern classification” is published on Int J Intell Syst. (JCR-1, IF = 8.993).