王建勇

2026

TrustSyn: Augmenting LLMs With Constituency- Structured Dependency Knowledge for Aspect-Based Sentiment Analysis

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Rectified Sparse Attention for Efficient Long-Sequence Generation

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Universal YOCO for Efficient Depth Scaling

arXiv.org

DOI

2026

An iterative knowledge extraction and dual-channel fusion framework for clinical differential diagnosis

Biomedical Signal Processing and Control

DOI

2026

KAPT: Knowledge-Augmented Prompt-Tuning Framework for Aspect-Based Sentiment Analysis

IEEE Transactions on Computational Social Systems

DOI

2026

Disentangling Representations from Search Behaviors for Recommendation via Counterfactual Learning

ACM Transactions on Information Systems

DOI

2026

Ternary Paradigm-Oriented and Hybrid-Graph Capsule Aggregation for Aspect-Based Sentiment Analysis

IEEE Transactions on Affective Computing

DOI

2025

Incomplete Multi-View Drug Recommendation via Multi-Level Representation Learning and Curriculum Learning

Knowledge Discovery and Data Mining

DOI

2025

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling

Annual Meeting of the Association for Computational Linguistics

DOI

2025

LeanK: Learnable K Cache Channel Pruning for Efficient Decoding

Conference on Empirical Methods in Natural Language Processing

DOI

2025

Rectified Sparse Attention

arXiv.org

DOI

2025

Application of machine learning in EEG-based dementia diagnosis: Classification and differential diagnosis

Journal of Alzheimer s Disease

DOI

2025

Alzheimer’s disease diagnosis among dementia patients via blood biomarker measurement based on the AT(N) system

Chinese Medical Journal

DOI

2025

Generation and Selection: A Self-Iterative Two-Stage Data Augmentation Method for Automated ECG Classification

IEEE Journal of Biomedical and Health Informatics

DOI

2024

Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation

Expert Systems With Applications，Vol. 238

DOI

2024

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2024

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Neural Information Processing Systems

DOI

2024

FocusLLM: Scaling LLM's Context by Parallel Decoding

arXiv.org

DOI

2024

Multimodal Latent Language Modeling with Next-Token Diffusion

arXiv.org

DOI

2024

Discriminating Alzheimer's Pathologic Changes from Dementias: A Multi‐Factor Blood Biomarkers Diagnostic Model Using the AT(N) System

Alzheimer s & Dementia

DOI

2024

Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2023

Binary gravity search algorithm and support vector machine for forecasting and trading stock indices

International Review Of Economics & Finance，Vol. 84

DOI

2023

Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Retentive Network: A Successor to Transformer for Large Language Models

arXiv.org

2023

Learning to Binarize Continuous Features for Neuro-Rule Networks

International Joint Conference on Artificial Intelligence

DOI

2023

Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing

ACM Trans. Inf. Syst.

DOI

2023

Learning Interpretable Rules for Scalable Data Representation and Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

Toward a Unified Framework for Unsupervised Complex Tabular Reasoning

Proceedings - International Conference on Data Engineering

DOI

2022

Random Forest Model in the Diagnosis of Dementia Patients with Normal Mini-Mental State Examination Scores

Journal of Personalized Medicine

DOI

2022

Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia Using Neural Networks

Journal of Alzheimer's Disease

DOI

2022

Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling

DOI

2022

Prompt Tuning for Discriminative Pre-trained Language Models

Findings

DOI

2022

Effective Few-Shot Named Entity Linking by Meta-Learning

Proceedings - International Conference on Data Engineering

DOI

2022

Learning Entity Linking Features for Emerging Entities

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation

ACM Web Conference (WWW)

DOI

2021

A Dual Simple Recurrent Network Model for Chunking and Abstract Processes in Sequence Learning

Frontiers In Psychology，Vol. 12

DOI

2021

融合时空行为与社交关系的用户轨迹识别模型

《计算机学报》

2021

Data-Free Knowledge Transfer: A Survey

arXiv.org

2021

Jointly Modeling Fact Triples and Text Information for Knowledge Base Completion

International Conference on Big Knowledge

DOI

2021

Bridging the Language Gap: Knowledge Injected Multilingual Question Answering

International Conference on Big Knowledge

DOI

2021

Toward Tweet Entity Linking With Heterogeneous Information Networks

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Attentive Representation Learning With Adversarial Training for Short Text Clustering

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Entity Linking Meets Deep Learning: Techniques and Solutions

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation

Proceedings of the ... ACM International Conference on Information & Knowledge Management

DOI

2021

RRL: A Scalable Classifier for Interpretable Rule-Based Representation Learning

2021

Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation

ACM Transactions on Information Systems

DOI

2021

Joint Open Knowledge Base Canonicalization and Linking

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2021

Graph-Based Tri-Attention Network for Answer Ranking in CQA

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2021

Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack

Lecture notes in computer science

DOI

2020

Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

Named Entity Location Prediction Combining Twitter and Web

IEEE Transactions on Knowledge and Data Engineering

DOI

2020

Editorial of Special Issue of ICDM 2019

Data Science and Engineering

DOI

2020

Transparent Classification with Multilayer Logical Perceptrons and Random Binarization

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2020

Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference

Lecture notes in computer science

DOI

2019

基于Python的Web数据挖掘应用

《浙江水利水电学院学报》

2019

A Novel Hybrid Sequential Model for Review-Based Rating Prediction

Lecture notes in computer science

DOI

2018

Style Transfer as Unsupervised Machine Translation

arXiv.org

2018

Model-based Clustering of Short Text Streams

ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)

DOI

2018

Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2018

An Attention Factor Graph Model for Tweet Entity Linking

DOI

2018

Sequential Patterns

Encyclopedia of Database Systems

DOI

2017

大数据分析的神经网络方法

《工程科学与技术》

2017

[P4–078]: APOLIPOROTEIN E POLYMORPHISM IN CHINESE POPULATION WITH VARIOUS TYPES OF COGNITIVE DISORDERS

DOI

2017

SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks

IEEE Transactions on Knowledge and Data Engineering

DOI

2017

[P1–319]: EFFECTS OF APOLIPOPROTEIN E POLYMORPHISM ON NEUROPSYCHOLOGICAL DOMAINS IN CHINESE POPULATION WITH ALZHEIMER's DISEASE

Alzheimer s & Dementia

DOI

2017

A new system for distributed machine learning

National Science Review

DOI

2016

Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction

IEEE Transactions on Knowledge and Data Engineering

DOI

2016

Guest editorial: WWWJ special issue of the 16th International Conference on Web Information Systems Engineering (WISE 2015)

World Wide Web

DOI

2016

A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2016

Collaborative multi-level embedding learning from reviews for rating prediction

International Joint Conference on Artificial Intelligence

2016

A model-based approach for text clustering with outlier detection

Proceedings - International Conference on Data Engineering

DOI

2016

A General Framework for Graph Matching and Its Application in Ontology Matching

Lecture notes in computer science

DOI

2016

Sequential Patterns

Encyclopedia of Database Systems

DOI

2015

Domain-Specific Knowledge Base Enrichment Using Wikipedia Tables

Proceedings

DOI

2015

Proceedings, Part I, of the 16th International Conference on Web Information Systems Engineering --- WISE 2015 - Volume 9418

2015

Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation

DOI

2015

A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2015

Prior-based dual additive latent dirichlet allocation for user-item connected documents

International Conference on Artificial Intelligence

2015

A Hybrid Framework for Semantic Relation Extraction over Enterprise Data

International Journal on Semantic Web and Information Systems

DOI

2015

STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream

Proceedings - International Conference on Data Engineering

DOI

2015

Web Information Systems Engineering – WISE 2015

Lecture notes in computer science

DOI

2014

Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions

IEEE Transactions on Knowledge and Data Engineering

DOI

2014

A dirichlet multinomial mixture model-based approach for short text clustering

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2014

A probabilistic model for linking named entities in web text with heterogeneous information networks

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2014

Session details: WWW 2014 PhD/doctoral presentations

International World Wide Web Conference (WWW)

DOI

2014

We can learn your #hashtags: Connecting tweets to explicit topics

Proceedings - International Conference on Data Engineering

DOI

2013

Toward detection of aliases without string similarity

Information Sciences

DOI

2013

Efficient incremental update and querying in AWETO RDF storage system

Data & Knowledge Engineering

DOI

2013

GRIAS: An Entity-Relation Graph Based Framework for Discovering Entity Aliases

Proceedings

DOI

2013

Combining latent factor model with location features for event-based group recommendation

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2013

Linking named entities in Tweets with knowledge base via user interest modeling

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2013

Integrating semantic relatedness and words' intrinsic features for keyword extraction

International Joint Conference on Artificial Intelligence

2013

Learning to annotate tweets with crowd wisdom

International World Wide Web Conference (WWW)

DOI

2013

Introduction to Special section on Large-scale Data Mining

Data & Knowledge Engineering

DOI

2013

Retweet or not?

ACM International Conference on Web Search and Data Mining (WSDM)

DOI

2013

Proceedings of the 14th international conference on Web-Age Information Management

2012

Efficient Mining of Gap-Constrained Subsequences and Its Various Applications

ACM Transactions on Knowledge Discovery from Data

DOI

2012

Towards alias detection without string similarity

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2012

Incorporating heterogeneous information for personalized tag recommendation in social tagging systems

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2012

LIEGE:

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2012

Keyword-propagation-based information enriching and noise removal for web news videos

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2012

LINDEN

International World Wide Web Conference (WWW)

DOI

2012

APOLLO

International World Wide Web Conference (WWW)

DOI

2012

HeterRank

International World Wide Web Conference (WWW)

DOI

2011

基于复杂网络理论的时间序列分析

《上海理工大学学报》

2011

Finding Top-k Answers in Keyword Search over Relational Databases Using Tuple Units

IEEE Transactions on Knowledge and Data Engineering

DOI

2011

Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part II

2011

Efficient Mining of Closed Sequential Patterns on Stream Sliding Window

Proceedings

DOI

2011

AWETO

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2011

FAMER: Making Multi-Instance Learning Better and Faster

SIAM International Conference on Data Mining

DOI

2011

On Anonymization of Multi-graphs

SIAM International Conference on Data Mining

DOI

2011

REACTOR

DOI

2011

On Graph-Based Name Disambiguation

Journal of Data and Information Quality

DOI

2011

Efficient Incremental Mining of Frequent Sequence Generators

Lecture notes in computer science

DOI

2010

KEMB: A Keyword-Based XML Message Broker

IEEE Transactions on Knowledge and Data Engineering

DOI

2010

Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model

Proceedings

DOI

2010

SEQUEL

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

2010

Direct mining of discriminative patterns for classifying uncertain data

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2010

Providing built-in keyword search capabilities in RDBMS

The VLDB Journal

DOI

2010

GRAPE

International World Wide Web Conference (WWW)

DOI

2009

Finding and ranking compact connected trees for effective keyword proximity search in XML documents

Information Systems

DOI

2009

Incremental sequence-based frequent query pattern mining from XML queries

Data Mining and Knowledge Discovery

DOI

2009

GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search

Proceedings

DOI

2009

Efficient itemset generator discovery over a stream sliding window

DOI

2009

Structure-aware indexing for keyword search in databases

DOI

2009

Comparing stars

Proceedings of the VLDB Endowment

DOI

2009

Frequent pattern mining with uncertain data

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2009

Parallel community detection on large networks with propinquity dynamics

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2009

Progressive Keyword Search in Relational Databases

Proceedings - International Conference on Data Engineering

DOI

2009

Sequential Patterns

Encyclopedia of Database Systems

DOI

2009

Two birds with one stone

International World Wide Web Conference (WWW)

DOI

2009

FOGGER

DOI

2008

An effective 3-in-1 keyword search method over heterogeneous data sources

Information Systems

DOI

2008

CONTOUR: an efficient algorithm for discovering discriminating subsequences

Data Mining and Knowledge Discovery

DOI

2008

GHOST

DOI

2008

An effective and versatile keyword search engine on heterogenous data sources

Proceedings of the VLDB Endowment

DOI

2008

EASE

Proceedings - ACM-SIGMOD International Conference on Management of Data

DOI

2008

Efficient Mining of Minimal Distinguishing Subgraph Patterns from Graph Databases

Springer eBooks

DOI

2008

High Confidence Fragment-Based Classification Rule Mining for Imbalanced HIV Data

Springer eBooks

DOI

2008

Efficient mining of frequent sequence generators

International World Wide Web Conference (WWW)

DOI

2008

Sailer

International World Wide Web Conference (WWW)

DOI

2008

Efficient vectorial operators for processing xml twig queries

International World Wide Web Conference (WWW)

DOI

2008

Survey on research of sentiment analysis

Journal of Computer Applications

2008

Race

International World Wide Web Conference (WWW)

DOI

2007

Frequent Closed Sequence Mining without Candidate Maintenance

IEEE Transactions on Knowledge and Data Engineering

DOI

2007

Parallel frequent pattern discovery: Challenges and methodology

Tsinghua Science & Technology

DOI

2007

Effective keyword search for valuable lcas over xml documents

DOI

2007

Efficient Mining of Frequent Closed XML Query Pattern

Journal of Computer Science and Technology

DOI

2007

Xproj

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2007

Out-of-core coherent closed quasi-clique mining from large dense graph databases

ACM Transactions on Database Systems

DOI

2007

Discriminating Subsequence Discovery for Sequence Clustering

SIAM International Conference on Data Mining

DOI

2006

Regression Cubes with Lossless Compression and Aggregation

IEEE Transactions on Knowledge and Data Engineering

DOI

2006

Discovering Frequent Closed Partial Orders from Strings

IEEE Transactions on Knowledge and Data Engineering

DOI

2006

On Mining Instance-Centric Classification Rules

IEEE Transactions on Knowledge and Data Engineering

DOI

2006

Closed constrained gradient mining in retail databases

IEEE Transactions on Knowledge and Data Engineering

DOI

2006

A framework for on-demand classification of evolving data streams

IEEE Transactions on Knowledge and Data Engineering

DOI

2006

Mining Complex Time-Series Data by Learning Markovian Models

Proceedings

DOI

2006

Incremental Mining of Frequent Query Patterns from XML Queries for Caching

Proceedings

DOI

2006

Coherent closed quasi-clique discovery from large dense graph databases

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2006

Exploit sequencing to accelerate hot XML query pattern mining

ACM Symposium on Applied Computing

DOI

2006

Efficiently Mining Frequent Closed Partial Orders

Proceedings

DOI

2006

CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases

Proceedings - International Conference on Data Engineering

DOI

2006

Exploit Sequencing to Accelerate XML Twig Query Answering

Lecture notes in computer science

DOI

2006

Model Video Semantics with Constraints Considering Temporal Structure and Typed Events

DOI

2005

On efficiently summarizing categorical databases

Knowledge and Information Systems

DOI

2005

On High Dimensional Projected Clustering of Data Streams

Data Mining and Knowledge Discovery

DOI

2005

TFP: an efficient algorithm for mining top-k frequent closed itemsets

IEEE Transactions on Knowledge and Data Engineering

DOI

2005

Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

Distributed and Parallel Databases

DOI

2005

HARMONY: Efficiently Mining the Best Rules for Classification

SIAM International Conference on Data Mining

DOI

2000

近似镜像网页检测算法的研究与评价

《电子学报》

2026

X-MoD: Practical Scaling Laws for Sparse-Depth Routing Beyond Mixture-of-Depths

arXiv preprint

2026

You Only Index Once: Cross-Layer Sparse Attention with Shared Routing

arXiv preprint

2026

JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied Agents

arXiv preprint

2025

Efficient Attention Mechanisms for Large Language Models: A Survey

arXiv preprint

2025

COMM:Concentrated Margin Maximization for Robust Document-Level Relation Extraction

arXiv preprint

2025

Maximum Score Routing For Mixture-of-Experts

arXiv preprint

2024

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders

arXiv (Cornell University)

DOI

2024

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation

arXiv (Cornell University)

DOI

2024

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data

arXiv preprint

2023

Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today

arXiv (Cornell University)

DOI

2023

Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning

arXiv preprint

2023

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution

arXiv preprint

2018

R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering

arXiv preprint

DOI

2017

On Semantic Relation Extraction Over Enterprise Data

Advances in web technologies and engineering book series

DOI

2014

Sequential Pattern Mining

Springer eBooks

DOI

2007

Multi-Dimensional Analysis of Data Streams Using Stream Cubes

Springer eBooks

DOI