activity
20172025
most citedWeakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping

64 citations · 162 across the 23 of their papers we have counts for

collaborators
Showing cs.IRShow all

2 papers · 1 filter

cs.IR2023★ 1 cited

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

Wei Guo, Chang Meng, Enming Yuan +8

Multi-types of user behavior data (e.g., clicking, adding to cart, and purchasing) are recorded in most real-world recommendation scenarios, which can help to learn users' multi-fa…

cs.IR2022★ 1 cited

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

Chang Meng, Ziqi Zhao, Wei Guo +6

Multi-types of behaviors (e.g., clicking, adding to cart, purchasing, etc.) widely exist in most real-world recommendation scenarios, which are beneficial to learn users' multi-fac…