Meng Wang

Orcid: 0000-0002-2293-1709

Affiliations:
  • Tongji University, Shanghai, China
  • Southeast University, Nanjing, China (former)
  • Xi'an Jiaotong University, MOEKLINNS Lab, China (former)


According to our database1, Meng Wang authored at least 81 papers between 2014 and 2024.

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Bibliography

2024
Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning.
Health Inf. Sci. Syst., December, 2024

Development and Evaluation Study of Intelligent Cockpit in the Age of Large Models.
CoRR, 2024

Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks.
CoRR, 2024

A Question-Answering Assistant over Personal Knowledge Graph.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adaptive Group Personalization for Federated Mutual Transfer Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Time-Sensitve Retrieval-Augmented Generation for Question Answering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Fast Human Action Recognition via Millimeter Wave Radar Point Cloud Sequences Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Knowledge and data-driven prediction of organ failure in critical care patients.
Health Inf. Sci. Syst., December, 2023

A contrastive framework for enhancing Knowledge Graph Question Answering: Alleviating exposure bias.
Knowl. Based Syst., November, 2023

MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs.
Big Data Res., May, 2023

Retrieval-Augmented Generation for Large Language Models: A Survey.
CoRR, 2023

Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module.
Proceedings of the IEEE International Conference on Data Mining, 2023

Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Efficiently embedding dynamic knowledge graphs.
Knowl. Based Syst., 2022

Learning heterogeneous graph embedding for Chinese legal document similarity.
Knowl. Based Syst., 2022

Faster Zero-shot Multi-modal Entity Linking via Visual-Linguistic Representation.
Data Intell., 2022

Visual Entity Linking via Multi-modal Learning.
Data Intell., 2022

PKG: A Personal Knowledge Graph for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cross-Modal Knowledge Discovery, Inference, and Challenges.
Proceedings of the Reasoning Web. Causality, Explanations and Declarative Knowledge, 2022

User-Event Graph Embedding Learning for Context-Aware Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

Improving Core Path Reasoning for the Weakly Supervised Knowledge Base Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Explaining similarity for SPARQL queries.
World Wide Web, 2021

Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network.
ACM Trans. Sens. Networks, 2021

Faceted Text Segmentation via Multitask Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

A sequence to sequence model for dialogue generation with gated mixture of topics.
Neurocomputing, 2021

Efficient search over incomplete knowledge graphs in binarized embedding space.
Future Gener. Comput. Syst., 2021

Link Trustworthiness Evaluation over Multiple Heterogeneous Information Networks.
Complex., 2021

Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks.
Big Data Res., 2021

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation.
Big Data Res., 2021

Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Knowledge graph construction from multiple online encyclopedias.
World Wide Web, 2020

Structured query construction via knowledge graph embedding.
Knowl. Inf. Syst., 2020

Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA.
CoRR, 2020

Richpedia: A Large-Scale, Comprehensive Multi-Modal Knowledge Graph.
Big Data Res., 2020

Revealing Secrets in SPARQL Session Level.
Proceedings of the Semantic Web - ISWC 2020, 2020

Combining Knowledge Graph Embedding and Network Embedding for Detecting Similar Mobile Applications.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Memory-Based Network for Scene Graph with Unbalanced Relations.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Cross-Graph Representation Learning for Unsupervised Graph Alignment.
Proceedings of the Database Systems for Advanced Applications, 2020

Feature Fusion Based Subgraph Classification for Link Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Characterizing Robotic and Organic Query in SPARQL Search Sessions.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Fine-Grained Evaluation of Knowledge Graph Embedding Models in Downstream Tasks.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Learning to Answer Complex Questions with Evidence Graph.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

One-Shot Learning for Long-Tail Visual Relation Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Answering why-not questions on SPARQL queries.
Knowl. Inf. Syst., 2019

AHNG: Representation learning on attributed heterogeneous network.
Inf. Fusion, 2019

Adaptive local learning regularized nonnegative matrix factorization for data clustering.
Appl. Intell., 2019

Multi-view Embedding for Biomedical Ontology Matching.
Proceedings of the 14th International Workshop on Ontology Matching co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

Zero-Shot Slot Filling via Latent Question Representation and Reading Comprehension.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Cosine-Based Embedding for Completing Schematic Knowledge.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Building Chinese Legal Hybrid Knowledge Network.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Richpedia: A Comprehensive Multi-modal Knowledge Graph.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

Dispute Generation in Law Documents via Joint Context and Topic Attention.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

Graph embedding based familial analysis of Android malware using unsupervised learning.
Proceedings of the 41st International Conference on Software Engineering, 2019

Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2019

Adversarial Discriminative Denoising for Distant Supervision Relation Extraction.
Proceedings of the Database Systems for Advanced Applications, 2019

Emerging Entity Discovery Using Web Sources.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

BSI: A System for Predicting and Analyzing Accident Risk.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018
Answering why-not questions on semantic multimedia queries.
Multim. Tools Appl., 2018

Triple Context-Based Knowledge Graph Embedding.
IEEE Access, 2018

Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding.
Proceedings of the Semantic Web - ISWC 2018, 2018

Interpretative Topic Categorization Via Deep Multiple Instance Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fine-grained Image Classification by Visual-Semantic Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Graph Embedding Based Query Construction Over Knowledge Graphs.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Safe Medicine Recommendation via Medical Knowledge Graph Embedding.
CoRR, 2017

People Opinion Topic Model: Opinion based User Clustering in Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking.
Proceedings of the Semantic Web - ISWC 2017, 2017

Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2015
Faceted fusion of RDF data.
Inf. Fusion, 2015

ANNA: Answering Why-Not Questions for SPARQL.
Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), 2015

2014
Faceted Exploring for Domain Knowledge over Linked Open Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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