103 citations · 103 across the 3 of their papers we have counts for
3 papers
cs.LG2023
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning
Xiang Li, Songcan Chen
Label Distribution Learning (LDL) assigns soft labels, a.k.a. degrees, to a sample. In reality, it is always laborious to obtain complete degrees, giving birth to the Incomplete LD…
cs.IR2023
TBIN: Modeling Long Textual Behavior Data for CTR Prediction
Shuwei Chen, Xiang Li, Jian Dong +3
Click-through rate (CTR) prediction plays a pivotal role in the success of recommendations. Inspired by the recent thriving of language models (LMs), a surge of works improve predi…
cs.LG2020★ 103 cited
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning
Xiang Li, Songcan Chen
In reality, learning from multi-view multi-label data inevitably confronts three challenges: missing labels, incomplete views, and non-aligned views. Existing methods mainly concer…