activity
20202022
most citedHeterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

142 citations · 243 across the 26 of their papers we have counts for

collaborators

26 papers

cs.CV2022★ 6 cited

Automatic Generation of Product-Image Sequence in E-commerce

Xiaochuan Fan, Chi Zhang, Yong Yang +6

Product images are essential for providing desirable user experience in an e-commerce platform. For a platform with billions of products, it is extremely time-costly and labor-expe…

cs.AI2022★ 7 cited

Automatic Controllable Product Copywriting for E-Commerce

Xiaojie Guo, Qingkai Zeng, Meng Jiang +3

Automatic product description generation for e-commerce has witnessed significant advancement in the past decade. Product copywriting aims to attract users' interest and improve us…

cs.LG2022★ 1 cited

Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile

Dong Chen, Lingfei Wu, Siliang Tang +3

Recent years have seen a surge of interest in meta-learning techniques for tackling the few-shot learning (FSL) problem. However, the meta-learner is prone to overfitting since the…

cs.AI2022★ 2 cited

Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce

Xueying Zhang, Kai Shen, Chi Zhang +5

In this paper, we proposed an automatic Scenario-based Multi-product Advertising Copywriting Generation system (SMPACG) for E-Commerce, which has been deployed on a leading Chinese…

cs.CL2022★ 7 cited

Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning

Yangkai Du, Tengfei Ma, Lingfei Wu +4

Towards real-world information extraction scenario, research of relation extraction is advancing to document-level relation extraction(DocRE). Existing approaches for DocRE aim to…

cs.AI2022★ 2 cited

Meta Policy Learning for Cold-Start Conversational Recommendation

Zhendong Chu, Hongning Wang, Yun Xiao +2

Conversational recommender systems (CRS) explicitly solicit users' preferences for improved recommendations on the fly. Most existing CRS solutions count on a single policy trained…