Paper accepted by TKDE

Our work titled “AEFS: Adaptive Early Feature Selection for Deep Recommender Systems” has been accepted as a regular paper by the IEEE Transactions on Knowledge and Data Engineering (TKDE) journal. The scope of TKDE includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. The latest impact factor of the journal is 10.4.

• Hu et al., AEFS: Adaptive Early Feature Selection for Deep Recommender Systems, TKDE 2025