I am a first-year PhD student in Computer Science advised by Manling Li at Northwestern University. Before that I received my master degree working with Mengyue Wu at Shanghai Jiao Tong University in the CSE department. I also received my B.E. (Honor) degree in the CSE department at SJTU. My primary research interests are centered around the domains of self-supervised learning, representation learning, and multi-modal interaction. In my early research endeavors, I focused on extracting meaningful representations for the detection of depression. Subsequently, my focus shifted towards leveraging contrastive learning techniques to obtain more accurate and robust representations from data spanning various modalities. Recently, I've also developed a keen interest in X-Language interaction, X can be vision, audio, and other modalities. My ultimate research aspiration is to construct a model with the remarkable capacity to extract representations that are not only robust and accurate but also deeply imbued with semantic richness. Such a model, informed by data from diverse modalities, promises to unravel the complexities of our real world, elevating our understanding and interaction with it. For more information about me, please refer to my CV. Please feel free to contact me via email, pingyuezhang2029@u.northwestern.edu.