Shenghua Liu

Orcid: 0000-0003-2120-3598

According to our database1, Shenghua Liu authored at least 83 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Addressing the influence of limited tolerance and compromise behaviors on the social trust network consensus-reaching process.
Inf. Sci., 2025

2024
Interrelated Dense Pattern Detection in Multilayer Networks.
IEEE Trans. Knowl. Data Eng., November, 2024

Node Embedding Preserving Graph Summarization.
ACM Trans. Knowl. Discov. Data, July, 2024

Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms.
IEEE Trans. Knowl. Data Eng., March, 2024

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router.
CoRR, 2024

StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models.
CoRR, 2024

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities.
CoRR, 2024

"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak.
CoRR, 2024

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts.
CoRR, 2024

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark.
CoRR, 2024

Graph Descriptive Order Improves Reasoning with Large Language Model.
CoRR, 2024

Scalable Link Prediction on Large-Scale Heterogeneous Graphs with Large Language Models.
CoRR, 2024

SLANG: New Concept Comprehension of Large Language Models.
CoRR, 2024

Graph Summarization for Preserving Spectral Characteristics.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

SLANG: New Concept Comprehension of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LPNL: Scalable Link Prediction with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A Minimum Cost Consensus-Based Failure Mode and Effect Analysis Framework Considering Experts' Limited Compromise and Tolerance Behaviors.
IEEE Trans. Cybern., October, 2023

Hierarchical Dense Pattern Detection in Tensors.
ACM Trans. Knowl. Discov. Data, July, 2023

Time Series Anomaly Detection With Adversarial Reconstruction Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

Fast Searching The Densest Subgraph And Decomposition With Local Optimality.
CoRR, 2023

W3Detector: Detecting Fraudulent Online Sellers Based on Temporal and Spacial Information.
Proceedings of the International Conference on Machine Learning and Applications, 2023

A Provable Framework of Learning Graph Embeddings via Summarization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CGCNImp: a causal graph convolutional network for multivariate time series imputation.
PeerJ Comput. Sci., 2022

Learning node embeddings via summary graphs: a brief theoretical analysis.
CoRR, 2022

Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors.
CoRR, 2022

On the Cybernetics of Crowdsourcing Innovation: A Process Model.
IEEE Access, 2022

MonLAD: Money Laundering Agents Detection in Transaction Streams.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Integrating a prospect theory-based consensus-reaching process into large-scale quality function deployment and its application in the evaluation of contingency plan.
J. Intell. Fuzzy Syst., 2021

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection.
Future Gener. Comput. Syst., 2021

DPGS: Degree-Preserving Graph Summarization.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

CubeFlow: Money Laundering Detection with Coupled Tensors.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

AugSplicing: Synchronized Behavior Detection in Streaming Tensors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Summarizing graphs using the configuration model.
CoRR, 2020

SpecGreedy: Unified Dense Subgraph Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Silicon-Based Integrated Broadband Wavelength-Meter with Low Temperature Sensitivity.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Provably Robust Node Classification via Low-Pass Message Passing.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

FlowScope: Spotting Money Laundering Based on Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Contrast Metric for Fraud Detection in Rich Graphs.
IEEE Trans. Knowl. Data Eng., 2019

CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors.
ACM Trans. Knowl. Discov. Data, 2019

SMF: Drift-Aware Matrix Factorization with Seasonal Patterns.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

CatchCore: Catching Hierarchical Dense Subtensor.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Optimal Algorithm for Profiling Dynamic Arrays with Finite Values.
Proceedings of the Advances in Database Technology, 2019

2018
MFPR: A Personalized Ranking Recommendation with Multiple Feedback.
ACM Trans. Soc. Comput., 2018

NeuCast: Seasonal Neural Forecast of Power Grid Time Series.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
EagleMine: Vision-Guided Mining in Large Graphs.
CoRR, 2017

Marked Temporal Dynamics Modeling based on Recurrent Neural Network.
CoRR, 2017

BeatLex: Summarizing and Forecasting Time Series with Patterns.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Marked Temporal Dynamics Modeling Based on Recurrent Neural Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Personalized Ranking Recommendation via Integrating Multiple Feedbacks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Single-Pass PCA of Large High-Dimensional Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Cascade Dynamics Modeling with Attention-based Recurrent Neural Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Concise Representations of Users' Influences through Online Behaviors.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

EyeQual: Accurate, Explainable, Retinal Image Quality Assessment.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

HoloScope: Topology-and-Spike Aware Fraud Detection.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Learning Sentimental Influences from Users' Behaviors.
CoRR, 2016

Modeling and Predicting Retweeting Dynamics via a Mixture Process.
Proceedings of the 25th International Conference on World Wide Web, 2016

Predict Anchor Links across Social Networks via an Embedding Approach.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
TASC: Topic-Adaptive Sentiment Classification on Dynamic Tweets.
IEEE Trans. Knowl. Data Eng., 2015

Learning User-Specific Latent Influence and Susceptibility from Information Cascades.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Ranking Tweets with Local and Global Consistency Using Rich Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Ranking Tweets by Labeled and Collaboratively Selected Pairs with Transitive Closure.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Co-training and visualizing sentiment evolvement for tweet events.
Proceedings of the 22nd International World Wide Web Conference, 2013

A Blending Method for Automated Social Tagging.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

ICTNET at Microblog Track in TREC 2013.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Adaptive co-training SVM for sentiment classification on tweets.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
ICTNET at Microblog Track TREC 2012.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

Finding Topic-Related Tweets Using Conversational Thread.
Proceedings of the Intelligent Information Processing VI, 2012

Using WordNet-Based Neighborhood for Improving Social Tag Recommendation.
Proceedings of the Intelligent Computing Theories and Applications, 2012

Clustering short text using Ncut-weighted non-negative matrix factorization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
ICTNET at Microblog Track TREC 2011.
Proceedings of The Twentieth Text REtrieval Conference, 2011

2010
Effective congestion reduction for IC package substrate routing.
ACM Trans. Design Autom. Electr. Syst., 2010

Simultaneous slack budgeting and retiming for synchronous circuits optimization.
Proceedings of the 15th Asia South Pacific Design Automation Conference, 2010

2009
Substrate Topological Routing for High-Density Packages.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

Diffusion-driven congestion reduction for substrate topological routing.
Proceedings of the 2009 International Symposium on Physical Design, 2009

2008
Topological routing to maximize routability for package substrate.
Proceedings of the 45th Design Automation Conference, 2008

2006
Agent-Based Web Service Composition with JADE and JXTA.
Proceedings of the 2006 International Conference on Semantic Web & Web Services, 2006


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