Statistical Learning and Data Science (SLADS) is a peer-reviewed quarterly journal sponsored by the Chinese Academy of Sciences

๐Ÿš€ Call for Papers: Special Issue on Frontiers in Statistical Learning: Data, Networks, and Knowledge Transfer Journal: Statistical Learning and Data Science (SLADS) ๐Ÿ“… Submission Deadline: March 31, 2026 ๐Ÿ‘จโ€๐ŸŽ“ Guest Editors: Yang Feng, Guangming Pan, Jiaming Xu, Emma Zhang
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๐Ÿš€ Call for Papers: Special Issue on Statistics and AI Journal: Statistical Learning and Data Science (SLADS) ๐Ÿ“… Submission Deadline: March 31, 2026 ๐Ÿ‘จโ€๐ŸŽจ Guest Editors: Xiaowu Dai (UCLA), Weijie Su (UPenn), Linglong Kong (UAlberta), Zhihua Zhang (PKU)
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We are proud to announce the launch of Statistical Learning and Data Science (SLADS), a new quarterly journal sponsored by the Chinese Academy of Sciences. SLADS is dedicated to publishing high-impact research across statistics, machine learning, AI, and data science.
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