Deqing Wang | DeepAI

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∙ 08/29/2023

Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation

Since Knowledge Graphs (KGs) contain rich semantic information, recently...

0 Meng Yuan, et al. ∙

∙ 08/10/2023

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification

Patent classification aims to assign multiple International Patent Class...

0 Tao Zou, et al. ∙

∙ 07/31/2023

Scaling Sentence Embeddings with Large Language Models

Large language models (LLMs) have recently garnered significant interest...

0 Ting Jiang, et al. ∙

∙ 05/27/2023

Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction

Accurate citation count prediction of newly published papers could help ...

0 Hao Geng, et al. ∙

∙ 05/18/2023

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

Recent years have witnessed the rapid development of heterogeneous graph...

0 Chenguang Du, et al. ∙

∙ 03/21/2023

A Survey on Causal Inference for Recommendation

Recently, causal inference has attracted increasing attention from resea...

0 Huishi Luo, et al. ∙

∙ 11/20/2022

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs

Heterogeneous graph neural networks (HGNNs) have been widely applied in ...

0 Ziming Wan, et al. ∙

∙ 11/19/2022

Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling

Understanding determinants of success in academic careers is critically ...

0 Chenguang Du, et al. ∙

∙ 10/12/2022

Pruning Pre-trained Language Models Without Fine-Tuning

To overcome the overparameterized problem in Pre-trained Language Models...

0 Ting Jiang, et al. ∙

∙ 08/08/2022

Contrastive Learning with Bidirectional Transformers for Sequential Recommendation

Contrastive learning with Transformer-based sequence encoder has gained ...

0 Hanwen Du, et al. ∙

∙ 05/05/2022

Exploiting Global and Local Hierarchies for Hierarchical Text Classification

Hierarchical text classification aims to leverage label hierarchy in mul...

0 Ting Jiang, et al. ∙

∙ 04/21/2022

Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation

Sequential Recommendation aims to predict the next item based on user be...

0 Yongjing Hao, et al. ∙

∙ 01/12/2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts

The poor performance of the original BERT for sentence semantic similari...

0 Ting Jiang, et al. ∙

∙ 01/04/2022

Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources

While Unsupervised Domain Adaptation (UDA) algorithms, i.e., there are o...

0 Yongchun Zhu, et al. ∙

∙ 10/21/2021

Improving Non-autoregressive Generation with Mixup Training

While pre-trained language models have achieved great success on various...

0 Ting Jiang, et al. ∙

∙ 01/09/2021

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

Extreme Multi-label text Classification (XMC) is a task of finding the m...

0 Ting Jiang, et al. ∙

∙ 12/27/2018

Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study

Nonnegative CANDECOMP/PARAFAC (NCP) decomposition is an important tool t...

14 Deqing Wang, et al. ∙

∙ 09/16/2018

Cross-Domain Labeled LDA for Cross-Domain Text Classification

Cross-domain text classification aims at building a classifier for a tar...

0 Baoyu Jing, et al. ∙

∙ 05/03/2013

Feature Selection Based on Term Frequency and T-Test for Text Categorization

Much work has been done on feature selection. Existing methods are based...

0 Deqing Wang, et al. ∙

∙ 12/13/2010

Inverse-Category-Frequency based supervised term weighting scheme for text categorization

Term weighting schemes often dominate the performance of many classifier...

0 Deqing Wang, et al. ∙

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