We are delighted to share that Prof. Wang Xiang, a former Ph.D. student and research fellow at NExT, has received the SIGIR Early Career Researcher Awards 2024. This award recognizes outstanding contributions and leadership to the SIGIR community in research, community engagement, and/or diversity, equity, and inclusion by an early career researcher (ECR). Awards are given annually and presented at the ACM SIGIR conference.

Professor Wang Xiang is a member of Lab of Data Science from the University of Science and Technology of China. He strives to develop trustworthy deep learning and artificial intelligence algorithms with better interpretability, generalization, and robustness. His research is motivated by, and contributes to, graph-structured applications in information retrieval (e.g., personalized recommendation), data mining (e.g., graph pre-training), security (e.g., fraud detection in fintech, information security in system), and multimedia (e.g., video question answering). His work has over 50 publications in top-tier conferences and journals. Over 10 papers have been featured in the most cited and influential list (e.g., KDD 2019, SIGIR 2019, SIGIR 2020, SIGIR 2021) and best paper finalist (e.g., WWW 2021, CVPR 2022). Moreover, Prof. Wang has served as the PC member for top-tier conferences including NeurIPS, ICLR, SIGIR and KDD, and the invited reviewer for prestigious journals including JMLR, TKDE, and TOIS.
Reference: https://sigir.org/awards/sigir-ecr-awards/
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