李勍

2026

Diffusion Language Model for Recommendation

arXiv.org

DOI

2026

CFALR: Collaborative Filtering-Augmented Large Language Model for Personalized Fashion Outfit Recommendation

ACM Transactions on Information Systems

DOI

2025

Explainable reasoning over temporal knowledge graphs by pre-trained language model

Information Processing & Management，Vol. 62, No. 1

DOI

2025

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs

Web Search and Data Mining

DOI

2024

基于VAR-LRTC-TNN的交通流量数据补全框架模型

《重庆交通大学学报(自然科学版)》

2024

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Knowledge Discovery and Data Mining

DOI

2024

Graph Machine Learning in the Era of Large Language Models (LLMs)

ACM Transactions on Intelligent Systems and Technology

DOI

2023

[Review] A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis

Expert Systems With Applications，Vol. 229

DOI

2023

基于对比度和共识日的交通速度预测

《山东科技大学学报(自然科学版)》

2023

Embedding in Recommender Systems: A Survey

ACM Trans. Inf. Syst.

DOI

2023

Granularity-Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation Classification

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Contrastive Learning Models for Sentence Representations

ACM Transactions on Intelligent Systems and Technology

DOI

2023

A Reinforcement Learning Based Two-Stage Model for Emotion Cause Pair Extraction

IEEE Transactions on Affective Computing

DOI

2023

Recurrent Attention Networks for Long-text Modeling

Annual Meeting of the Association for Computational Linguistics

DOI

2023

Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Identifying Peach Trees in Cultivated Land Using U-Net Algorithm

Land，Vol. 11, No. 7

DOI

2022

Leveraging deep learning for automatic literature screening in intelligent bibliometrics

International Journal of Machine Learning and Cybernetics

DOI

2022

Unravelling Token Ecosystem of EOSIO Blockchain

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Joint Multimodal Entity-Relation Extraction Based on Edge-enhanced Graph Alignment Network and Word-pair Relation Tagging

AAAI Conference on Artificial Intelligence

DOI

2021

Merging Statistical Feature via Adaptive Gate for Improved Text Classification

AAAI Conference on Artificial Intelligence

DOI

2021

A Label Extension Schema for Improved Text Emotion Classification

WI/IAT

DOI

2021

Topic-level knowledge sub-graphs for multi-turn dialogue generation

Knowledge-Based Systems

DOI

2021

Learning Modality-Invariant Features by Cross-Modality Adversarial Network for Visual Question Answering

APWeb/WAIM

DOI

2021

Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information

Pattern Recognition

DOI

2021

Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing

AAAI Conference on Artificial Intelligence

DOI

2021

Word-level emotion distribution with two schemas for short text emotion classification

Knowledge-Based Systems

DOI

2021

Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees

AAAI Conference on Artificial Intelligence

DOI

2021

Multimodal Relation Extraction with Efficient Graph Alignment

ACM Multimedia

DOI

2021

Object-Aware Multimodal Named Entity Recognition in Social Media Posts With Adversarial Learning

IEEE transactions on multimedia

DOI

2021

Scene Graph with 3D Information for Change Captioning

ACM Multimedia

DOI

2021

IgSEG: Image-guided Story Ending Generation

Findings

DOI

2021

Chinese Word Embedding Learning with Limited Data

APWeb/WAIM

DOI

2021

An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract)

AAAI Conference on Artificial Intelligence

DOI

2021

Difficulty-Controllable Visual Question Generation

APWeb/WAIM

DOI

2021

PARROT: An Adaptive Online Shopping Guidance System

APWeb/WAIM

DOI

2021

Incorporating sentimental trend into gated mechanism based transformer network for story ending generation

Neurocomputing

DOI

2021

EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism

World wide web (Bussum)

DOI

2021

On entropy-based term weighting schemes for text categorization

Knowledge and Information Systems

DOI

2021

Fast Supervised Topic Models for Short Text Emotion Detection

IEEE Transactions on Cybernetics

DOI

2020

MMED: A multi-domain and Multi-modality event dataset

Information Processing & Management，Vol. 57, No. 6

DOI

2020

Multimodal Representation with Embedded Visual Guiding Objects for Named Entity Recognition in Social Media Posts

ACM Multimedia

DOI

2020

Incorporating Boundary and Category Feature for Nested Named Entity Recognition

International Conference on Database Systems for Advanced Applications

DOI

2020

Unsupervised cross-domain named entity recognition using entity-aware adversarial training

Neural Networks

DOI

2020

Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach

Knowledge-Based Systems

DOI

2020

Improving aspect-based sentiment analysis via aligning aspect embedding

Neurocomputing

DOI

2020

Neural Mixed Counting Models for Dispersed Topic Discovery

Annual Meeting of the Association for Computational Linguistics

DOI

2020

Combining weighted category-aware contextual information in convolutional neural networks for text classification

World wide web (Bussum)

DOI

2020

Controllable Abstractive Sentence Summarization with Guiding Entities

International Conference on Computational Linguistics

DOI

2020

Task-oriented Domain-specific Meta-Embedding for Text Classification

Conference on Empirical Methods in Natural Language Processing

DOI

2020

Incorporating context-relevant concepts into convolutional neural networks for short text classification

Neurocomputing

DOI

2020

EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification

2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)

DOI

2020

A hybrid representation-based simile component extraction

Neural computing & applications (Print)

DOI

2020

A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification

International Conference on Computational Linguistics

DOI

2020

Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification

arXiv.org

2020

Incorporating Concept Information into Term Weighting Schemes for Topic Models

International Conference on Database Systems for Advanced Applications

DOI

2020

Aligned Dual Channel Graph Convolutional Network for Visual Question Answering

Annual Meeting of the Association for Computational Linguistics

DOI

2019

Solving Chinese Character Puzzles Based on Character Strokes

Natural Language Processing and Chinese Computing

DOI

2019

A Distant Supervised Relation Extraction Model with Two Denoising Strategies

IEEE International Joint Conference on Neural Network

DOI

2019

A multi-encoder neural conversation model

Neurocomputing

DOI

2019

Temporal event searches based on event maps and relationships

Applied Soft Computing

DOI

2019

User group based emotion detection and topic discovery over short text

World wide web (Bussum)

DOI

2019

ITWF: A framework to apply term weighting schemes in topic model

Neurocomputing

DOI

2019

Special Issue of APWeb-WAIM 2018

Data Science and Engineering

DOI

2019

Incorporating Latent Space Correlation Coefficients to Collaborative Filtering

2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW)

DOI

2019

Supervised Group Embedding for Rumor Detection in Social Media

International Conference on Web Engineering

DOI

2019

A Weighted Word Embedding Model for Text Classification

International Conference on Database Systems for Advanced Applications

DOI

2018

Combining Contextual Information by Self-attention Mechanism in Convolutional Neural Networks for Text Classification

WISE

DOI

2018

Improving Short Text Modeling by Two-Level Attention Networks for Sentiment Classification

International Conference on Database Systems for Advanced Applications

DOI

2017

Recent advances in semantic computing and personalization

Neurocomputing

DOI

2017

AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks

arXiv.org

2017

On the Effectiveness of Least Squares Generative Adversarial Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2017

A Network Framework for Noisy Label Aggregation in Social Media

Annual Meeting of the Association for Computational Linguistics

DOI

2017

A multi-relational term scheme for first story detection

Neurocomputing

DOI

2017

Accelerating Convolutional Neural Networks Using Fine-Tuned Backpropagation Progress

DASFAA Workshops

DOI

2017

Supervised Intensive Topic Models for Emotion Detection over Short Text

International Conference on Database Systems for Advanced Applications

DOI

2017

Combining Local and Global Features in Supervised Word Sense Disambiguation

WISE

DOI

2016

Context-aware ontologies generation with basic level concepts from collaborative tags

Neurocomputing

DOI

2016

複数レベルにおけるハイブリッドユーザプロファイルによるフォークソノミーベース個別化検索【Powered by NICT】

2016

Least Squares Generative Adversarial Networks

IEEE International Conference on Computer Vision

DOI

2016

Personalized search for social media via dominating verbal context

Neurocomputing

DOI

2016

Folksonomy-based personalized search by hybrid user profiles in multiple levels

Neurocomputing

DOI

2016

User authority ranking models for community question answering

Journal of Intelligent & Fuzzy Systems

DOI

2016

協調タグからの塩基性レベルの概念を用いた文脈を意識したオントロジー生成【Powered by NICT】

2016

フォークソノミーにおける個人向け情報検索のためのタグに基づくユーザプロファイルと資源プロファイルへの感情を組み込んだ【Powered by NICT】

2016

Multi-class Generative Adversarial Networks with the L2 Loss Function

arXiv.org

2015

Does Summarization Help Stock Prediction? A News Impact Analysis

IEEE Intelligent Systems

DOI

2014

Sentiment topic models for social emotion mining

Information Sciences

DOI

2014

The Load-Based Learner Profile for Incidental Word Learning Task Generation

International Conference on Advances in Web-Based Learning

DOI

2014

Mining Latent User Community for Tag-Based and Content-Based Search in Social Media

Computer/law journal

DOI

2014

Popularity Tendency Analysis of Ranking-Oriented Collaborative Filtering from the Perspective of Loss Function

International Conference on Database Systems for Advanced Applications

DOI

2014

The Collaborative Search by Tag-Based User Profile in Social Media

TheScientificWorldJournal

DOI

2014

Product aspect extraction supervised with online domain knowledge

Knowledge-Based Systems

DOI

2014

Building emotional dictionary for sentiment analysis of online news

World wide web (Bussum)

DOI

2014

Community-aware user profile enrichment in folksonomy

Neural Networks

DOI

2014

Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy

Neural Networks

DOI

2013

Document Summarization via Self-Present Sentence Relevance Model

International Conference on Database Systems for Advanced Applications

DOI

2013

Recipe popularity prediction based on the analysis of social reviews

International Joint Conference on Awareness Science and Technology & Ubi-Media Computing

DOI

2013

Event Relationship Analysis for Temporal Event Search

International Conference on Database Systems for Advanced Applications

DOI

2013

An Adaptive Particle Swarm Optimization Algorithm for Distributed Search and Collective Cleanup in Complex Environment

Int. J. Distributed Sens. Networks

DOI

2013

A modified particle swarm optimization algorithm for distributed search and collective cleanup

International Joint Conference on Awareness Science and Technology & Ubi-Media Computing

DOI

2012

Community-Aware Resource Profiling for Personalized Search in Folksonomy

Journal of Computational Science and Technology

DOI

2012

Improving Recommendation Based on Features' Co-occurrence Effects in Collaborative Tagging Systems

Asia-Pacific Web Conference

DOI

2012

Context-Aware Personalized Search Based on User and Resource Profiles in Folksonomies

Asia-Pacific Web Conference

DOI

2011

Exploring Folksonomy and Cooking Procedures to Boost Cooking Recipe Recommendation

Asia-Pacific Web Conference

DOI

2011

Interactive tutoring of cooking activities with personalized multimedia recipe search

MTDL '11

DOI

2010

Personalized Resource Search by Tag-Based User Profile and Resource Profile

WISE

DOI

2010

Context-Aware Basic Level Concepts Detection in Folksonomies

Interational Conference on Web-Age Information Management

DOI

2010

Personalized search by tag-based user profile and resource profile in collaborative tagging systems

International Conference on Information and Knowledge Management

DOI

2010

TyCo: Towards Typicality-based Collaborative Filtering Recommendation

IEEE International Conference on Tools with Artificial Intelligence

DOI

2010

Semantic Grounding of Hybridization for Tag Recommendation

Interational Conference on Web-Age Information Management

DOI

2010

Generating ontologies with basic level concepts from folksonomies

International Conference on Conceptual Structures

DOI

2010

A Hybrid Semantic Item Model for Recipe Search by Example

IEEE International Symposium on Multimedia

DOI

2026

FashionKG-RAG: Knowledge Graph-Enhanced Retrieval-Augmented Generation for Fashion Question Answering

arXiv preprint

2026

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning

arXiv preprint

2026

Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations

arXiv preprint

DOI

2026

GPU-Accelerated Algorithms for Graph Vector Search: Taxonomy, Empirical Study, and Research Directions

arXiv preprint

2026

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation

arXiv preprint

2026

Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring

arXiv preprint

2026

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning

arXiv preprint

DOI

2026

A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing

arXiv preprint

2026

TrajMind: Chaining Role-Specialized LoRAs for Fast-and-Slow Collective Trajectory Anomaly Diagnosis

arXiv preprint

2025

Contrastive Learning Augmented Social Recommendations

arXiv preprint

2025

Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding

arXiv preprint

DOI

2025

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

arXiv preprint

2025

MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs

arXiv preprint

2025

Continuous-time Discrete-space Diffusion Model for Recommendation

arXiv preprint

2025

WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web

arXiv preprint

2025

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation

arXiv preprint

2025

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

arXiv preprint

DOI

2025

Exploring the Paradigm Shift from Grounding to Skolemization for Complex Query Answering on Knowledge Graphs

arXiv preprint

2025

Protective Factor-Aware Dynamic Influence Learning for Suicide Risk Prediction on Social Media

arXiv preprint

2025

Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations

arXiv preprint

2025

Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes

arXiv preprint

2025

Utilizing Effective Dynamic Graph Learning to Shield Financial Stability from Risk Propagation

arXiv preprint

2025

Simplifying Graph Kernels for Efficient

arXiv preprint

2024

A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation

arXiv preprint

DOI

2024

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems

arXiv preprint

DOI

2024

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation

arXiv preprint

2024

Linear-Time Graph Neural Networks for Scalable Recommendations

arXiv preprint

2024

Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation

arXiv preprint

2024

Efficient and Robust Regularized Federated Recommendation

arXiv preprint

DOI

2024

Score-based Generative Diffusion Models for Social Recommendations

arXiv preprint

2024

MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series

arXiv preprint

2024

SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network

arXiv preprint

2024

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning

arXiv preprint

2024

Fusing LLMs and KGs for Formal Causal Reasoning behind Financial Risk Contagion

arXiv preprint

2024

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation

arXiv preprint

2023

Counterfactual Explanation for Fairness in Recommendation

arXiv preprint

2023

Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs

arXiv preprint

2023

Multimodal Recommender Systems: A Survey

arXiv preprint

2023

TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation

arXiv preprint

2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling

arXiv preprint

2023

Multi-agent Attacks for Black-box Social Recommendations

arXiv preprint

2023

Fairly Adaptive Negative Sampling for Recommendations

arXiv preprint

2023

Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting

arXiv preprint

2023

Dataset Condensation for Recommendation

arXiv preprint

2023

Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction

arXiv preprint

2023

Recommender Systems in the Era of Large Language Models (LLMs)

arXiv preprint

DOI

2022

Disentangled Contrastive Learning for Social Recommendation

arXiv preprint

2022

A Comprehensive Survey on Trustworthy Recommender Systems

arXiv preprint

2022

Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks

arXiv preprint

DOI

2022

Fairness Reprogramming

arXiv preprint

2022

Knowledge-enhanced Black-box Attacks for Recommendations

arXiv preprint

DOI

2021

Intent Disentanglement and Feature Self-supervision for Novel Recommendation

arXiv preprint

DOI

2021

DGEM: A New Dual-modal Graph Embedding Method in Recommendation System

arXiv preprint

2021

Jointly Attacking Graph Neural Network and its Explanations

arXiv preprint

2021

Graph Trend Filtering Networks for Recommendations

arXiv preprint

2020

Attacking Black-box Recommendations via Copying Cross-domain User Profiles

arXiv preprint

2019

Deep Adversarial Social Recommendation

arXiv preprint

2019

A Hybrid Data Cleaning Framework using Markov Logic Networks

arXiv preprint

2019

Deep Social Collaborative Filtering

arXiv preprint

2019

Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks

arXiv preprint

DOI

2019

Effective Stabilized Self-Training on Few-Labeled Graph Data

arXiv preprint

DOI

2019

Graph Neural Networks for Social Recommendation

arXiv preprint

2014

HCRS: A hybrid clothes recommender system based on user ratings and product features

arXiv preprint

DOI