b'Defu Lian'

research

∙ 09/04/2023

Interactive Graph Convolutional Filtering

Interactive Recommender Systems (IRS) have been increasingly used in var...

0 Jin Zhang, et al. ∙

research

∙ 08/31/2023

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Recommender models excel at providing domain-specific item recommendatio...

0 Xu Huang, et al. ∙

research

∙ 08/15/2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification

Recently, Zero-Shot Node Classification (ZNC) has been an emerging and c...

0 Likang Wu, et al. ∙

research

∙ 08/11/2023

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation

Neural-based multi-task learning (MTL) has gained significant improvemen...

0 Qi Liu, et al. ∙

research

∙ 07/31/2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

The advent of large language models marks a revolutionary breakthrough i...

0 Jin Chen, et al. ∙

research

∙ 07/11/2023

A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence

OD matrix estimation is a critical problem in the transportation domain....

0 Zheli Xiong, et al. ∙

research

∙ 06/05/2023

Learning to Substitute Spans towards Improving Compositional Generalization

Despite the rising prevalence of neural sequence models, recent empirica...

0 Zhaoyi Li, et al. ∙

research

∙ 03/14/2023

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors

The global trends of urbanization and increased personal mobility force ...

0 Moritz Neun, et al. ∙

research

∙ 03/01/2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation

Sequential Recommendation is a widely studied paradigm for learning user...

0 Yongqiang Han, et al. ∙

research

∙ 11/15/2022

Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation

Recent studies show that Graph Neural Networks(GNNs) are vulnerable and ...

0 Zhihao Zhu, et al. ∙

research

∙ 10/30/2022

Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting

In this technical report, we present our solutions to the Traffic4cast 2...

0 Leyan Deng, et al. ∙

research

∙ 10/25/2022

Towards Robust Recommender Systems via Triple Cooperative Defense

Recommender systems are often susceptible to well-crafted fake profiles,...

0 Qingyang Wang, et al. ∙

research

∙ 06/28/2022

Cooperative Retriever and Ranker in Deep Recommenders

Deep recommender systems jointly leverage the retrieval and ranking oper...

4 Xu Huang, et al. ∙

research

∙ 06/17/2022

Boosting Factorization Machines via Saliency-Guided Mixup

Factorization machines (FMs) are widely used in recommender systems due ...

0 Chenwang Wu, et al. ∙

research

∙ 05/30/2022

Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever

Recommender retrievers aim to rapidly retrieve a fraction of items from ...

0 Jin Chen, et al. ∙

research

∙ 04/27/2022

Self-Supervised Text Erasing with Controllable Image Synthesis

Recent efforts on scene text erasing have shown promising results. Howev...

7 Gangwei Jiang, et al. ∙

research

∙ 04/18/2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization

In large-scale recommender systems, the user-item networks are generally...

0 Menglin Yang, et al. ∙

research

∙ 04/18/2022

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction

Given the ubiquitous existence of graph-structured data, learning the re...

0 Bisheng Li, et al. ∙

research

∙ 04/01/2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Vector quantization (VQ) based ANN indexes, such as Inverted File System...

8 Shitao Xiao, et al. ∙

research

∙ 03/29/2022

Visualizing the Relationship Between Encoded Linguistic Information and Task Performance

Probing is popular to analyze whether linguistic information can be capt...

2 Jiannan Xiang, et al. ∙

research

∙ 03/29/2022

Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics

Current practices in metric evaluation focus on one single dataset, e.g....

1 Jiannan Xiang, et al. ∙

research

∙ 02/28/2022

A Mutually Reinforced Framework for Pretrained Sentence Embeddings

The lack of labeled data is a major obstacle to learning high-quality se...

1 Junhan Yang, et al. ∙

research

∙ 01/23/2022

Reinforcement Routing on Proximity Graph for Efficient Recommendation

We focus on Maximum Inner Product Search (MIPS), which is an essential p...

0 Chao Feng, et al. ∙

research

∙ 01/14/2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

Ad-hoc search calls for the selection of appropriate answers from a mass...

8 Shitao Xiao, et al. ∙

research

∙ 10/26/2021

Meta-learning with an Adaptive Task Scheduler

To benefit the learning of a new task, meta-learning has been proposed t...

11 Huaxiu Yao, et al. ∙

research

∙ 09/13/2021

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Variational AutoEncoder (VAE) has been extended as a representative nonl...

0 Jin Chen, et al. ∙

research

∙ 05/28/2021

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation

Self-attention has become increasingly popular in a variety of sequence ...

0 Yongji Wu, et al. ∙

research

∙ 05/28/2021

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention

Sequential recommendation plays an increasingly important role in many e...

0 Yongji Wu, et al. ∙

research

∙ 05/06/2021

Assessing Dialogue Systems with Distribution Distances

An important aspect of developing dialogue systems is how to evaluate an...

5 Jiannan Xiang, et al. ∙

research

∙ 04/22/2021

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks

Transformer encoding networks have been proved to be a powerful tool of ...

5 Junhan Yang, et al. ∙

research

∙ 04/16/2021

Search-oriented Differentiable Product Quantization

Product quantization (PQ) is a popular approach for maximum inner produc...

7 Shitao Xiao, et al. ∙

research

∙ 03/02/2021

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

Ad creatives are one of the prominent mediums for online e-commerce adve...

0 Jin Chen, et al. ∙

research

∙ 02/28/2021

Automated Creative Optimization for E-Commerce Advertising

Advertising creatives are ubiquitous in E-commerce advertisements and ae...

0 Jin Chen, et al. ∙

research

∙ 02/08/2021

A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising

Creative plays a great important role in e-commerce for exhibiting produ...

9 Shiyao Wang, et al. ∙

research

∙ 11/02/2020

Sampling-Decomposable Generative Adversarial Recommender

Recommendation techniques are important approaches for alleviating infor...

6 Binbin Jin, et al. ∙

research

∙ 11/02/2020

Deep Pairwise Hashing for Cold-start Recommendation

Recommendation efficiency and data sparsity problems have been regarded ...

0 Yan Zhang, et al. ∙

research

∙ 05/24/2020

Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation

With the increasing availability of videos, how to edit them and present...

0 Le Wu, et al. ∙

research

∙ 05/12/2020

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

Entity interaction prediction is essential in many important application...

0 Hanchen Wang, et al. ∙

research

∙ 04/19/2020

Binarized Graph Neural Network

Recently, there have been some breakthroughs in graph analysis by applyi...

14 Hanchen Wang, et al. ∙

research

∙ 07/15/2019

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval

Candidate retrieval is a crucial part in recommendation system, where qu...

0 Zheng Liu, et al. ∙

research

∙ 06/05/2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks

The efficiency of top-K item recommendation based on implicit feedback a...

0 Haoyu Wang, et al. ∙

research

∙ 05/27/2019

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

Recently, the Network Representation Learning (NRL) techniques, which re...

0 Hao Wang, et al. ∙

research

∙ 03/15/2019

Predicting Academic Performance for College Students: A Campus Behavior Perspective

Detecting abnormal behaviors of students in time and providing personali...

0 Huaxiu Yao, et al. ∙

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