b'Philip S. Yu'

research

∙ 09/20/2023

Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables

Question answering on tabular data (a.k.a TableQA), which aims at genera...

0 Wenting Zhao, et al. ∙

research

∙ 09/20/2023

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach

Named Entity Recognition (NER) aims to extract and classify entity menti...

0 Yibo Wang, et al. ∙

research

∙ 09/07/2023

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm

In intent detection tasks, leveraging meaningful semantic information fr...

0 Jiangshu Du, et al. ∙

research

∙ 09/05/2023

Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs

Skin lesion segmentation is a fundamental task in dermoscopic image anal...

0 Guangjie Zeng, 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

∙ 08/23/2023

LLMRec: Benchmarking Large Language Models on Recommendation Task

Recently, the fast development of Large Language Models (LLMs) such as C...

0 Junling Liu, et al. ∙

research

∙ 08/09/2023

Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning

Recent advanced methods in Natural Language Understanding for Task-orien...

0 Hoang H. Nguyen, et al. ∙

research

∙ 07/30/2023

A Private Watermark for Large Language Models

Recently, text watermarking algorithms for large language models (LLMs) ...

0 Aiwei Liu, et al. ∙

research

∙ 07/29/2023

Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce

Position bias, the phenomenon whereby users tend to focus on higher-rank...

0 Yibo Wang, et al. ∙

research

∙ 07/06/2023

A Survey on Evaluation of Large Language Models

Large language models (LLMs) are gaining increasing popularity in both a...

0 Yupeng Chang, et al. ∙

research

∙ 06/21/2023

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing

Sequential recommendation (SR) investigates the dynamic user preferences...

0 Ziwei Fan, et al. ∙

research

∙ 06/10/2023

TALENT: Targeted Mining of Non-overlapping Sequential Patterns

With the widespread application of efficient pattern mining algorithms, ...

0 Zefeng Chen, et al. ∙

research

∙ 06/06/2023

Machine Unlearning: A Survey

Machine learning has attracted widespread attention and evolved into an ...

0 Heng Xu, et al. ∙

research

∙ 06/03/2023

Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection

Rumor spreaders are increasingly utilizing multimedia content to attract...

0 Mengzhu Sun, et al. ∙

research

∙ 06/02/2023

Decentralized Federated Learning: A Survey and Perspective

Federated learning (FL) has been gaining attention for its ability to sh...

0 Liangqi Yuan, et al. ∙

research

∙ 05/26/2023

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks

Relation extraction (RE) tasks show promising performance in extracting ...

0 Xuming Hu, et al. ∙

research

∙ 05/25/2023

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis

Multimodal relation extraction (MRE) is the task of identifying the sema...

0 Xuming Hu, et al. ∙

research

∙ 05/25/2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval

Evidence plays a crucial role in automated fact-checking. When verifying...

0 Xuming Hu, et al. ∙

research

∙ 05/22/2023

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer

Cross-lingual natural language inference is a fundamental problem in cro...

0 Shuang Li, et al. ∙

research

∙ 05/21/2023

Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs

The great learning ability of deep learning models facilitates us to com...

0 Guangsi Shi, et al. ∙

research

∙ 05/12/2023

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Existing recommender systems face difficulties with zero-shot items, i.e...

0 Ziwei Fan, et al. ∙

research

∙ 05/12/2023

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition

Named Entity Recognition (NER) is a well and widely studied task in natu...

0 Yawen Yang, et al. ∙

research

∙ 05/05/2023

Contrastive Graph Clustering in Curvature Spaces

Graph clustering is a longstanding research topic, and has achieved rema...

0 Li Sun, et al. ∙

research

∙ 05/02/2023

Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction

Relation extraction (RE) aims to extract potential relations according t...

0 Xuming Hu, et al. ∙

research

∙ 05/02/2023

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence

Real-world fact verification task aims to verify the factuality of a cla...

0 Xuming Hu, et al. ∙

research

∙ 04/27/2023

Open Metaverse: Issues, Evolution, and Future

With the evolution of content on the web and the Internet, there is a ne...

0 Zefeng Chen, et al. ∙

research

∙ 04/24/2023

Hierarchical State Abstraction Based on Structural Information Principles

State abstraction optimizes decision-making by ignoring irrelevant envir...

0 Xianghua Zeng, et al. ∙

research

∙ 04/22/2023

Conditional Denoising Diffusion for Sequential Recommendation

Generative models have attracted significant interest due to their abili...

0 Yu Wang, et al. ∙

research

∙ 04/06/2023

Graph Collaborative Signals Denoising and Augmentation for Recommendation

Graph collaborative filtering (GCF) is a popular technique for capturing...

0 Ziwei Fan, et al. ∙

research

∙ 04/04/2023

Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy

DNA motif discovery is an important issue in gene research, which aims t...

0 Yao Chen, et al. ∙

research

∙ 03/23/2023

Web 3.0: The Future of Internet

With the rapid growth of the Internet, human daily life has become deepl...

0 Wensheng Gan, et al. ∙

research

∙ 03/22/2023

Web3: The Next Internet Revolution

Since the first appearance of the World Wide Web, people more rely on th...

0 Shicheng Wan, et al. ∙

research

∙ 03/17/2023

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Graph Neural Networks (GNNs) are de facto solutions to structural data l...

0 Dongcheng Zou, et al. ∙

research

∙ 03/07/2023

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining signif...

0 Yihan Cao, et al. ∙

research

∙ 02/18/2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

The Pretrained Foundation Models (PFMs) are regarded as the foundation f...

0 Ce Zhou, et al. ∙

research

∙ 02/14/2023

Graph-based Village Level Poverty Identification

Poverty status identification is the first obstacle to eradicating pover...

0 Jing Ma, et al. ∙

research

∙ 02/07/2023

ConsRec: Learning Consensus Behind Interactions for Group Recommendation

Since group activities have become very common in daily life, there is a...

0 Xixi Wu, et al. ∙

research

∙ 01/28/2023

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation

Self-supervised sequential recommendation significantly improves recomme...

0 Ziwei Fan, et al. ∙

research

∙ 01/22/2023

Provable Unrestricted Adversarial Training without Compromise with Generalizability

Adversarial training (AT) is widely considered as the most promising str...

1 Lilin Zhang, et al. ∙

research

∙ 01/10/2023

Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation

Session-based Recommendation (SBR) is to predict users' next interested ...

14 Xiaohan Li, et al. ∙

research

∙ 12/30/2022

Self-organization Preserved Graph Structure Learning with Principle of Relevant Information

Most Graph Neural Networks follow the message-passing paradigm, assuming...

0 Qingyun Sun, et al. ∙

research

∙ 12/29/2022

HUSP-SP: Faster Utility Mining on Sequence Data

High-utility sequential pattern mining (HUSPM) has emerged as an importa...

0 Chunkai Zhang, et al. ∙

research

∙ 12/20/2022

Towards Sequence Utility Maximization under Utility Occupancy Measure

The discovery of utility-driven patterns is a useful and difficult resea...

0 Gengsen Huang, et al. ∙

research

∙ 12/01/2022

Learning to Select from Multiple Options

Many NLP tasks can be regarded as a selection problem from a set of opti...

0 Jiangshu Du, et al. ∙

research

∙ 11/30/2022

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces

Continual graph learning routinely finds its role in a variety of real-w...

0 Li Sun, et al. ∙

research

∙ 11/28/2022

Internet of Behaviors: A Survey

The Internet of Behavior is a research theme that aims to analyze human ...

0 Jiayi Sun, et al. ∙

research

∙ 11/18/2022

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation

Graph Neural Network (GNN) based recommender systems have been attractin...

0 Liangwei Yang, et al. ∙

research

∙ 11/14/2022

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System

Knowledge graph (KG) enhanced recommendation has demonstrated improved p...

0 Liangwei Yang, et al. ∙

research

∙ 11/11/2022

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction

Information Extraction (IE) aims to extract structured information from ...

0 Xuming Hu, et al. ∙

research

∙ 10/28/2022

Big Data Meets Metaverse: A Survey

We are living in the era of big data. The Metaverse is an emerging techn...

0 Jiayi Sun, et al. ∙

Philip S. Yu

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