b'Xueqi Cheng'

research

∙ 09/05/2023

Robust Recommender System: A Survey and Future Directions

With the rapid growth of information, recommender systems have become in...

0 Kaike Zhang, et al. ∙

research

∙ 08/31/2023

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

Graph Neural Networks (GNNs) have gained significant attention owing to ...

0 Yi Zhang, et al. ∙

research

∙ 08/29/2023

Continual Learning for Generative Retrieval over Dynamic Corpora

Generative retrieval (GR) directly predicts the identifiers of relevant ...

0 Jiangui Chen, et al. ∙

research

∙ 08/25/2023

Significant-attributed Community Search in Heterogeneous Information Networks

Community search is a personalized community discovery problem aimed at ...

0 Yanghao Liu, et al. ∙

research

∙ 08/24/2023

Inducing Causal Structure for Abstractive Text Summarization

The mainstream of data-driven abstractive summarization models tends to ...

0 Lu Chen, et al. ∙

research

∙ 08/22/2023

L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations

First-stage retrieval is a critical task that aims to retrieve relevant ...

0 Yinqiong Cai, et al. ∙

research

∙ 08/19/2023

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method

Neural ranking models (NRMs) and dense retrieval (DR) models have given ...

0 Yu-An Liu, et al. ∙

research

∙ 08/18/2023

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer

The data-hungry problem, characterized by insufficiency and low-quality ...

0 Wendong Bi, et al. ∙

research

∙ 07/29/2023

Fast Searching The Densest Subgraph And Decomposition With Local Optimality

Densest Subgraph Problem (DSP) is an important primitive problem with a ...

0 Yugao Zhu, et al. ∙

research

∙ 07/21/2023

OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning

Graph domain adaptation models are widely adopted in cross-network learn...

0 Boshen Shi, et al. ∙

research

∙ 07/10/2023

Fairness and Diversity in Recommender Systems: A Survey

Recommender systems are effective tools for mitigating information overl...

0 Yuying Zhao, et al. ∙

research

∙ 07/07/2023

What makes a successful rebuttal in computer science conferences? : A perspective on social interaction

With an exponential increase in submissions to top-tier Computer Science...

0 Junjie Huang, et al. ∙

research

∙ 06/22/2023

On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective

Recently, we have witnessed generative retrieval increasingly gaining at...

0 Yu-An Liu, et al. ∙

research

∙ 05/25/2023

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

The generalization of neural networks is a central challenge in machine ...

0 Yige Yuan, et al. ∙

research

∙ 05/25/2023

IDEA: Invariant Causal Defense for Graph Adversarial Robustness

Graph neural networks (GNNs) have achieved remarkable success in various...

0 Shuchang Tao, et al. ∙

research

∙ 05/24/2023

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies

Recently, a new paradigm called Differentiable Search Index (DSI) has be...

0 Yubao Tang, et al. ∙

research

∙ 05/24/2023

LLMDet: A Large Language Models Detection Tool

With the advancement of generative language models, the generated text h...

0 Kangxi Wu, et al. ∙

research

∙ 05/22/2023

Semantic Structure Enhanced Event Causality Identification

Event Causality Identification (ECI) aims to identify causal relations b...

0 Zhilei Hu, et al. ∙

research

∙ 05/22/2023

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space

Multi-aspect controllable text generation aims to generate fluent senten...

0 Hanxing Ding, et al. ∙

research

∙ 05/18/2023

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation

Language models trained on large-scale corpora can generate remarkably f...

0 Junkai Zhou, et al. ∙

research

∙ 05/18/2023

BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval

Dense retrieval has shown promise in the first-stage retrieval process w...

0 Shicheng Xu, et al. ∙

research

∙ 05/10/2023

Few-shot Link Prediction on N-ary Facts

N-ary facts composed of a primary triple (head entity, relation, tail en...

0 Jiyao Wei, et al. ∙

research

∙ 05/09/2023

Popularity Debiasing from Exposure to Interaction in Collaborative Filtering

Recommender systems often suffer from popularity bias, where popular ite...

0 Yuanhao Liu, et al. ∙

research

∙ 05/03/2023

Visual Transformation Telling

In this paper, we propose a new visual reasoning task, called Visual Tra...

0 Xin Hong, et al. ∙

research

∙ 05/02/2023

Visual Reasoning: from State to Transformation

Most existing visual reasoning tasks, such as CLEVR in VQA, ignore an im...

0 Xin Hong, et al. ∙

research

∙ 04/28/2023

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models

Neural ranking models (NRMs) have attracted considerable attention in in...

0 Yu-An Liu, et al. ∙

research

∙ 04/28/2023

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

Knowledge-intensive language tasks (KILTs) benefit from retrieving high-...

0 Jiangui Chen, et al. ∙

research

∙ 04/28/2023

Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks

With the wide application of Large Language Models (LLMs) such as ChatGP...

0 Shicheng Xu, et al. ∙

research

∙ 02/16/2023

Graph Adversarial Immunization for Certifiable Robustness

Despite achieving great success, graph neural networks (GNNs) are vulner...

0 Shuchang Tao, et al. ∙

research

∙ 02/05/2023

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation

Recently, Graph Neural Networks (GNNs) achieve remarkable success in Rec...

0 Junjie Huang, et al. ∙

research

∙ 02/02/2023

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network

Graphs consisting of vocal nodes ("the vocal minority") and silent nodes...

0 Wendong Bi, et al. ∙

research

∙ 01/31/2023

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks

Company financial risk is ubiquitous and early risk assessment for liste...

0 Wendong Bi, et al. ∙

research

∙ 01/29/2023

Multi-video Moment Ranking with Multimodal Clue

Video corpus moment retrieval (VCMR) is the task of retrieving a relevan...

0 Danyang Hou, et al. ∙

research

∙ 01/10/2023

Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding

Current natural language understanding (NLU) models have been continuous...

0 Yunchang Zhu, et al. ∙

research

∙ 12/16/2022

Rich Event Modeling for Script Event Prediction

Script is a kind of structured knowledge extracted from texts, which con...

0 Long Bai, et al. ∙

research

∙ 12/01/2022

NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework

Information retrieval aims to find information that meets users' needs f...

0 Shicheng Xu, et al. ∙

research

∙ 11/20/2022

Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective

Graph contrastive learning (GCL) emerges as the most representative appr...

0 Yige Yuan, et al. ∙

research

∙ 11/09/2022

Visual Named Entity Linking: A New Dataset and A Baseline

Visual Entity Linking (VEL) is a task to link regions of images with the...

0 Wenxiang Sun, et al. ∙

research

∙ 10/28/2022

LegoNet: A Fast and Exact Unlearning Architecture

Machine unlearning aims to erase the impact of specific training samples...

0 Sihao Yu, et al. ∙

research

∙ 10/19/2022

DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning

Unsupervised representation learning for dynamic graphs has attracted a ...

0 Kaike Zhang, et al. ∙

research

∙ 10/18/2022

HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning

A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective ti...

0 Zixuan Li, et al. ∙

research

∙ 09/14/2022

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models

Neural ranking models (NRMs) have achieved promising results in informat...

0 Chen Wu, et al. ∙

research

∙ 09/12/2022

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models

Neural ranking models (NRMs) have become one of the most important techn...

0 Yinqiong Cai, et al. ∙

research

∙ 08/21/2022

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval

Pre-training and fine-tuning have achieved significant advances in the i...

0 Xinyu Ma, et al. ∙

research

∙ 08/21/2022

A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval

Dense retrieval (DR) has shown promising results in information retrieva...

0 Xinyu Ma, et al. ∙

research

∙ 08/16/2022

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks

Knowledge-intensive language tasks (KILT) usually require a large body o...

0 Jiangui Chen, et al. ∙

research

∙ 08/03/2022

Adversarial Camouflage for Node Injection Attack on Graphs

Node injection attacks against Graph Neural Networks (GNNs) have receive...

0 Shuchang Tao, et al. ∙

research

∙ 07/04/2022

Learning node embeddings via summary graphs: a brief theoretical analysis

Graph representation learning plays an important role in many graph mini...

0 Houquan Zhou, et al. ∙

research

∙ 06/27/2022

Few-Shot Stance Detection via Target-Aware Prompt Distillation

Stance detection aims to identify whether the author of a text is in fav...

0 Yan Jiang, et al. ∙

research

∙ 05/31/2022

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training

Training generative adversarial networks (GANs) with limited data is val...

0 Liang Hou, et al. ∙

Xueqi Cheng

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