activity
20182022
most citedExplainable Reasoning over Knowledge Graphs for Recommendation

80 citations · 167 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2022

CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification

Yang Li, Canran Xu, Guodong Long +3

Recently, prefix-tuning was proposed to efficiently adapt pre-trained language models to a broad spectrum of natural language classification tasks. It leverages soft prefix as task…

cs.CL2021

Hierarchical Character Tagger for Short Text Spelling Error Correction

Mengyi Gao, Canran Xu, Peng Shi

State-of-the-art approaches to spelling error correction problem include Transformer-based Seq2Seq models, which require large training sets and suffer from slow inference time; an…

cs.IR2019

Learning Feature Interactions with Lorentzian Factorization Machine

Canran Xu, Ming Wu

Learning representations for feature interactions to model user behaviors is critical for recommendation system and click-trough rate (CTR) predictions. Recent advances in this are…

cs.CL2019★ 68 cited

Relation Embedding with Dihedral Group in Knowledge Graph

Canran Xu, Ruijiang Li

Link prediction is critical for the application of incomplete knowledge graph (KG) in the downstream tasks. As a family of effective approaches for link predictions, embedding meth…

cs.IR2018★ 80 cited

Explainable Reasoning over Knowledge Graphs for Recommendation

Xiang Wang, Dingxian Wang, Canran Xu +3

Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity be…

cs.LG2018★ 19 cited

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

Liping Li, Wei Xu, Tianyi Chen +2

In this paper, we propose a class of robust stochastic subgradient methods for distributed learning from heterogeneous datasets at presence of an unknown number of Byzantine worker…