activity
20182023
most citedImproving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

95 citations · 324 across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.LG2022

Toward Intention Discovery for Early Malice Detection in Bitcoin

Ling Cheng, Feida Zhu, Yong Wang +1

Bitcoin has been subject to illicit activities more often than probably any other financial assets, due to the pseudo-anonymous nature of its transacting entities. An ideal detecti…

cs.IR2022★ 95 cited

Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning

Ding Zou, Wei Wei, Ziyang Wang +4

Incorporating Knowledge Graphs (KG) into recommeder system has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop…

cs.CV2022★ 5 cited

PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on

Zhenyu Xie, Zaiyu Huang, Fuwei Zhao +5

Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. In this work, we take a step forw…

cs.CL2022★ 5 cited

Automatic Noisy Label Correction for Fine-Grained Entity Typing

Weiran Pan, Wei Wei, Feida Zhu

Fine-grained entity typing (FET) aims to assign proper semantic types to entity mentions according to their context, which is a fundamental task in various entity-leveraging applic…

cs.CV2022★ 5 cited

Declaration-based Prompt Tuning for Visual Question Answering

Yuhang Liu, Wei Wei, Daowan Peng +1

In recent years, the pre-training-then-fine-tuning paradigm has yielded immense success on a wide spectrum of cross-modal tasks, such as visual question answering (VQA), in which a…