2024
DualGAD: Dual-bootstrapped self-supervised learning for graph anomaly detection.
Inf. Sci., 2024
An radicals construction technique based on dual quaternions and hierarchical transformers.
Neurocomputing, 2024
Controllable Text Generation for Large Language Models: A Survey.
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CoRR, 2024
Internal Consistency and Self-Feedback in Large Language Models: A Survey.
CoRR, 2024
Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters.
Proceedings of the ACM on Web Conference 2024, 2024
A Sample-driven Selection Framework: Towards Graph Contrastive Networks with Reinforcement Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Temporal Knowledge Graph Embedding using Householder Transformations.
Proceedings of the IEEE International Conference on Acoustics, 2024
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Diffuse and Smooth: Beyond Truncated Receptive Field for Scalable and Adaptive Graph Representation Learning.
ACM Trans. Knowl. Discov. Data, June, 2023
DuCape: Dual Quaternion and Capsule Network-Based Temporal Knowledge Graph Embedding.
ACM Trans. Knowl. Discov. Data, 2023
Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation.
ACM Trans. Knowl. Discov. Data, 2023
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation.
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CoRR, 2023
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model.
CoRR, 2023
A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Hybrid Interaction Temporal Knowledge Graph Embedding Based on Householder Transformations.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Where to Find Fascinating Inter-Graph Supervision: Imbalanced Graph Classification with Kernel Information Bottleneck.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
ChinaOpen: A Dataset for Open-world Multimodal Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences.
Proceedings of the IEEE International Conference on Acoustics, 2023
Select The Best: Enhancing Graph Representation with Adaptive Negative Sample Selection.
Proceedings of the IEEE International Conference on Acoustics, 2023
Semi-Supervised Local Structured Feature Learning with Dynamic Maximum Entropy Graph.
Proceedings of the IEEE International Conference on Acoustics, 2023
Adaptive Submanifold-Preserving Sparse Regression for Feature Selection And Multiclass Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023
Cross-Modal Matching and Adaptive Graph Attention Network for RGB-D Scene Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views.
Proceedings of the Database Systems for Advanced Applications, 2023
BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion.
Proceedings of the Database Systems for Advanced Applications, 2023
MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Cross-domain image retrieval: methods and applications.
Int. J. Multim. Inf. Retr., 2022
Graph Capsule Network with a Dual Adaptive Mechanism.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
MULTIFORM: Few-Shot Knowledge Graph Completion via Multi-modal Contexts.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
When True Becomes False: Few-Shot Link Prediction beyond Binary Relations through Mining False Positive Entities.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Cross-Pixel Dependency with Boundary-Feature Transformation for Weakly Supervised Semantic Segmentation.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
CoNet: Co-Embedding by Reinforcing Graph Feature and Topology Information.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Multi-Scale Transformer with Explicit Boundary Constraint for Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Context and Boundary Guided Multi-Scale Feature Fusion Network for Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Adaptive Attention Graph Capsule Network.
Proceedings of the IEEE International Conference on Acoustics, 2022
Improving Dynamic Graph Convolutional Network with Fine-Grained Attention Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2022
Graph Fine-Grained Contrastive Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022
Eureka: Neural Insight Learning for Knowledge Graph Reasoning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Reinforced Sample Selection for Graph Neural Networks Transfer Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Noniterative Sparse LS-SVM Based on Globally Representative Point Selection.
IEEE Trans. Neural Networks Learn. Syst., 2021
RGB-D Scene Recognition based on Object-Scene Relation and Semantics-Preserving Attention.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021
Graph Ensemble Networks for Semi-supervised Embedding Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2021
Analysis of the Vaccine Effect on Infectious Diseases by System Dynamics Model.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021
Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Convex Edges in Social Networks.
IEEE Trans. Comput. Soc. Syst., 2020
On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks.
IEEE Trans. Comput. Soc. Syst., 2020
Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory.
IEEE Trans. Big Data, 2020
Revisiting the Feld's Friendship Paradox in Online Social Networks.
IEEE Access, 2020
Building Character Graphs and Dividing Communities in Chinese Novels Based on Graph Data Extraction: Community Division for Character Emotional Polarity Networks.
IEEE Access, 2020
Distinguishing Oracle Variants Based on the Isomorphism and Symmetry Invariances of Oracle-Bone Inscriptions.
IEEE Access, 2020
Social Computing with Artificial Intelligence
Springer, ISBN: 978-981-15-7759-8, 2020
2019
HSEM: highly scalable node embedding for link prediction in very large-scale social networks.
World Wide Web, 2019
Modeling Large-Scale Dynamic Social Networks via Node Embeddings.
IEEE Trans. Knowl. Data Eng., 2019
An unsupervised user identification algorithm using network embedding and scalable nearest neighbour.
Clust. Comput., 2019
Exploration of polygons in online social networks.
Clust. Comput., 2019
2018
Fast-Solving Quasi-Optimal LS-S<sup>3</sup>VM Based on an Extended Candidate Set.
IEEE Trans. Neural Networks Learn. Syst., 2018
Structure Based User Identification across Social Networks.
IEEE Trans. Knowl. Data Eng., 2018
On Identification of Organizational and Individual Users Based on Social Content Measurements.
IEEE Trans. Comput. Soc. Syst., 2018
A Multiple Kernel Learning Model Based on p-Norm.
Comput. Intell. Neurosci., 2018
A Quantitative Analysis Decision System Based on Deep Learning and NSGA-II for FX Portfolio Prediction.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Joint Learning of Evolving Links for Dynamic Network Embedding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Learning distributed representations for large-scale dynamic social networks.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
2016
Cross-Platform Identification of Anonymous Identical Users in Multiple Social Media Networks.
IEEE Trans. Knowl. Data Eng., 2016
Sparse Subspace Clustering via Closure Subgraph Based on Directed Graph.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016
A Time Series Forecasting Model Based on Deep Learning Integrated Algorithm with Stacked Autoencoders and SVR for FX Prediction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Learning Structural Features of Nodes in Large-Scale Networks for Link Prediction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
A Novel Trigger Model for Sales Prediction with Data Mining Techniques.
Data Sci. J., 2015
Discerning the Trend: Concealing Deceptive Reviews.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
A Novel Edge Weighting Method to Enhance Network Community Detection.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Emergency Decision Support Architectures for Bus Hijacking Based on Massive Image Anomaly Detection in Social Networks.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
A Succinct Distributive Big Data Clustering Algorithm Based on Local-Remote Coordination.
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Mining gold in senior executives' pockets: An online automatically trading strategy.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
2014
A Collaborative Method of Aggregating Group Opinion Based on Incomplete Preferences.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014
Features Extraction and Reconstruction of Country Risk based on Empirical EMD.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014
A Novel Forecasting Method for Large-Scale Sales Prediction Using Extreme Learning Machine.
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014
2013
Fast pruning superfluous support vectors in SVMs.
Pattern Recognit. Lett., 2013
The coordinate descent method with stochastic optimization for linear support vector machines.
Neural Comput. Appl., 2013
Associating stock prices with web financial information time series based on support vector regression.
Neurocomputing, 2013
Collaborative Aggregation of Individual Rating for Group Evaluation.
Proceedings of the 17th Pacific Asia Conference on Information Systems, 2013
2012
Research on Viral Marketing Propagating Oriented to Marketing Context.
Proceedings of the International Conference on Information Systems, 2012
Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2011
Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space.
IEEE Trans. Neural Networks, 2011
Solving Support Vector Machines beyond Dual Programming.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
CRM business cloud computing.
Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing, 2011
2010
An effective method of pruning support vector machine classifiers.
IEEE Trans. Neural Networks, 2010
A unified mathematical form for removing neurons based on orthogonal projection and crosswise propagation.
Neural Comput. Appl., 2010
Feature space versus empirical kernel map and row kernel space in SVMs.
Neural Comput. Appl., 2010
How external factors influence stock market: A model based SVM.
Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, 2010
2009
Separating hypersurfaces of SVMs in input spaces.
Pattern Recognit. Lett., 2009
Improving option price forecasts with neural networks and support vector regressions.
Neurocomputing, 2009
A Simple Method of Forecasting Option Prices Based on Neural Networks.
Proceedings of the Next-Generation Applied Intelligence, 2009
2008
Pruning Support Vector Machines Without Altering Performances.
IEEE Trans. Neural Networks, 2008
An architecture-adaptive neural network online control system.
Neural Comput. Appl., 2008
Pricing local search engines for company websites.
Electron. Commer. Res. Appl., 2008
2007
Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation.
Neural Comput. Appl., 2007
The valuation of china venture capital guiding fund policy based on options model.
Proceedings of the IEEE International Conference on Systems, 2007
A Stock Pattern Recognition Algorithm Based on Neural Networks.
Proceedings of the Third International Conference on Natural Computation, 2007
2006
Mining associations between web stock news volumes and stock prices.
Int. J. Syst. Sci., 2006
Neural Network Method to Predict Stock Price Movement Based on Stock Information Entropy.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Pricing Options in Hong Kong Market Based on Neural Networks.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
Optimal Pricing for Web Search Engines.
Proceedings of the Internet and Network Economics, First International Workshop, 2005
Impacts of Internet Stock News on Stock Markets Based on Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Learning Causal Structures Based on Markov Equivalence Class.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005
Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005
An Approach to Mining Local Causal Relationships from Databases.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005
2004
Complexity Of Error Hypersurfaces In Multilayer Perceptrons.
Int. J. Neural Syst., 2004
1995
How to solve the N-bit encoder problem with one hidden unit and polynomially increasing weights and thresholds.
Neurocomputing, 1995
Methods of training and constructing multilayer perceptrons with arbitrary pattern sets.
Int. J. Neural Syst., 1995