Zhifeng Hao

Orcid: 0000-0002-9731-1504

According to our database1, Zhifeng Hao authored at least 333 papers between 2004 and 2025.

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Bibliography

2025
Time-aware tensor factorization for temporal recommendation.
Appl. Intell., January, 2025

2024
Industrial product surface defect detection via the fast denoising diffusion implicit model.
Int. J. Mach. Learn. Cybern., November, 2024

Motif Graph Neural Network.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Correlation-Based Dynamic Allocation Scheme of Fitness Evaluations for Constrained Evolutionary Optimization.
IEEE Trans. Evol. Comput., October, 2024

Models and Algorithms for Optimizing Thresholds in Fuzzy Representation-Based Three-Way Decision.
IEEE Trans. Fuzzy Syst., September, 2024

Counterfactual contextual bandit for recommendation under delayed feedback.
Neural Comput. Appl., August, 2024

Block diagonal representation learning with local invariance for face clustering.
Soft Comput., July, 2024

Multi-View Maximum Margin Clustering With Privileged Information Learning.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Transferable Time-Series Forecasting Under Causal Conditional Shift.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Variable-Absent Fuzzy Relation Inequality With Max-Min Composition.
IEEE Trans. Fuzzy Syst., March, 2024

UP-DPC: Ultra-scalable parallel density peak clustering.
Inf. Sci., March, 2024

Privileged multi-view one-class support vector machine.
Neurocomputing, March, 2024

Semi-supervised fuzzy clustering algorithm based on prior membership degree matrix with expert preference.
Expert Syst. Appl., March, 2024

Neural Architecture Search via Multi-Hashing Embedding and Graph Tensor Networks for Multilingual Text Classification.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Cross-KG Link Prediction by Learning Substructural Semantics.
Neural Process. Lett., February, 2024

THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

A new multi-view multi-label model with privileged information learning.
Inf. Sci., January, 2024

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering.
IEEE Trans. Multim., 2024

Surrogate-assisted push and pull search for expensive constrained multi-objective optimization problems.
Swarm Evol. Comput., 2024

Module-based graph pooling for graph classification.
Pattern Recognit., 2024

Multi-task ordinal regression with task weight discovery.
Knowl. Based Syst., 2024

Landmark-based k-factorization multi-view subspace clustering.
Inf. Sci., 2024

A novel federated multi-view clustering method for unaligned and incomplete data fusion.
Inf. Fusion, 2024

Cross-modal hashing retrieval with compatible triplet representation.
Neurocomputing, 2024

Multi-task collaborative method based on manifold optimization for automated test case generation based on path coverage.
Expert Syst. Appl., 2024

Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency.
CoRR, 2024

Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement.
CoRR, 2024

Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection.
CoRR, 2024

Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights.
CoRR, 2024

Learning Discrete Latent Variable Structures with Tensor Rank Conditions.
CoRR, 2024

S<sup>2</sup>GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis.
CoRR, 2024

From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals.
CoRR, 2024

On the Identification of Temporally Causal Representation with Instantaneous Dependence.
CoRR, 2024

Multi-Relational Structural Entropy.
CoRR, 2024

Unsupervised Social Bot Detection via Structural Information Theory.
CoRR, 2024

Debiased Model-based Interactive Recommendation.
CoRR, 2024

When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting.
CoRR, 2024

Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency.
CoRR, 2024

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy.
CoRR, 2024

Granger causal representation learning for groups of time series.
Sci. China Inf. Sci., 2024

Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Individual Causal Structure Learning from Population Data.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reducing Balancing Error for Causal Inference via Optimal Transport.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generating Synthetic Tabular Data by Using Image Generative Adversarial Networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Nonlinear energy harvesting from rotating system.
Commun. Nonlinear Sci. Numer. Simul., December, 2023

Multi-task ordinal regression with labeled and unlabeled data.
Inf. Sci., November, 2023

Consensus of three-way group decision with weight updating based on a novel linguistic intuitionistic fuzzy similarity.
Inf. Sci., November, 2023

LiteWSEC: A Lightweight Framework for Web-Scale Spectral Ensemble Clustering.
IEEE Trans. Knowl. Data Eng., October, 2023

High-dimensional causal discovery based on heuristic causal partitioning.
Appl. Intell., October, 2023

Self-Organizing Neural Scheduler for the Flexible Job Shop Problem With Periodic Maintenance and Mandatory Outsourcing Constraints.
IEEE Trans. Cybern., September, 2023

Automated pattern generation for swarm robots using constrained multi-objective genetic programming.
Swarm Evol. Comput., August, 2023

A selection-pattern-aware recommendation model with colored-motif attention network.
Neurocomputing, June, 2023

Nonlinear Causal Discovery for High-Dimensional Deterministic Data.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Microscale Searching Algorithm for Coupling Matrix Optimization of Automated Microwave Filter Tuning.
IEEE Trans. Cybern., May, 2023

RESKM: A General Framework to Accelerate Large-Scale Spectral Clustering.
Pattern Recognit., May, 2023

Local-Diversity Evaluation Assignment Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023

VG-Swarm: A Vision-Based Gene Regulation Network for UAVs Swarm Behavior Emergence.
IEEE Robotics Autom. Lett., March, 2023

Learning dynamic causal mechanisms from non-stationary data.
Appl. Intell., March, 2023

Factorizing time-heterogeneous Markov transition for temporal recommendation.
Neural Networks, February, 2023

Modular design automation of the morphologies, controllers, and vision systems for intelligent robots: a survey.
Vis. Intell., 2023

Search-Based Software Test Data Generation for Path Coverage Based on a Feedback-Directed Mechanism.
Complex Syst. Model. Simul., 2023

Identifying Semantic Component for Robust Molecular Property Prediction.
CoRR, 2023

A Survey on Causal Reinforcement Learning.
CoRR, 2023

Subspace Identification for Multi-Source Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generative Neutral Features-Disentangled Learning for Facial Expression Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Federated Deep Multi-View Clustering with Global Self-Supervision.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Some General Identification Results for Linear Latent Hierarchical Causal Structure.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Latent Causal Dynamics Model for Model-Based Reinforcement Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Causal Discovery with Latent Confounders Based on Higher-Order Cumulants.
Proceedings of the International Conference on Machine Learning, 2023

Generalization Bound for Estimating Causal Effects from Observational Network Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Ultra-DPC: Ultra-scalable and Index-Free Density Peak Clustering.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
A Convex Model for Support Vector Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders.
IEEE Trans. Neural Networks Learn. Syst., 2022

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data.
IEEE Trans. Ind. Informatics, 2022

Manifold-Inspired Search-Based Algorithm for Automated Test Case Generation.
IEEE Trans. Emerg. Top. Comput., 2022

An Embedded Hamiltonian Graph-Guided Heuristic Algorithm for Two-Echelon Vehicle Routing Problem.
IEEE Trans. Cybern., 2022

Causal discovery from multi-domain data using the independence of modularities.
Neural Comput. Appl., 2022

A convex multi-class model via distance metric learning based class-to-instance confidence.
Knowl. Based Syst., 2022

Multi-view partial label machine.
Inf. Sci., 2022

Motif-based memory networks for complex-factoid question answering.
Neurocomputing, 2022

Learning granger causality for non-stationary Hawkes processes.
Neurocomputing, 2022

Shared state space model for background information extraction and time series prediction.
Neurocomputing, 2022

Multi-Mode Motion Dynamics of a Top Tensioned Riser Excited by Vortices and Varying Tension.
Int. J. Bifurc. Chaos, 2022

Double embedding-transfer-based multi-view spectral clustering.
Expert Syst. Appl., 2022

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.
CoRR, 2022

VGSwarm: A Vision-based Gene Regulation Network for UAVs Swarm Behavior Emergence.
CoRR, 2022

Nonlinear dynamics of new magneto-mechanical oscillator.
Commun. Nonlinear Sci. Numer. Simul., 2022

Performance optimization of hard rock tunnel boring machine using multi-objective evolutionary algorithm.
Comput. Ind. Eng., 2022

FastDEC: Clustering by Fast Dominance Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Vision-based Distributed Multi-UAV Collision Avoidance via Deep Reinforcement Learning for Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

LiteWSC: A Lightweight Framework for Web-Scale Spectral Clustering.
Proceedings of the Database Systems for Advanced Applications, 2022

Identification of Linear Latent Variable Model with Arbitrary Distribution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder.
IEEE J. Biomed. Health Informatics, 2021

Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models.
ACM Trans. Intell. Syst. Technol., 2021

Search-Based Algorithm With Scatter Search Strategy for Automated Test Case Generation of NLP Toolkit.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Novel Binary-Addition Tree Algorithm for Reliability Evaluation of Acyclic Multistate Information Networks.
Reliab. Eng. Syst. Saf., 2021

One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms.
Reliab. Eng. Syst. Saf., 2021

Semi-supervised disentangled framework for transferable named entity recognition.
Neural Networks, 2021

Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records.
BMC Medical Informatics Decis. Mak., 2021

Compensating the vorticity loss during advection with an adaptive vorticity confinement force.
Comput. Animat. Virtual Worlds, 2021

QuickDSC: Clustering by Quick Density Subgraph Estimation.
Inf. Sci., 2021

GraphLSHC: Towards large scale spectral hypergraph clustering.
Inf. Sci., 2021

A nearest-neighbor search model for distance metric learning.
Inf. Sci., 2021

Learning causal structures using hidden compact representation.
Neurocomputing, 2021

A real adjacency matrix-coded evolution algorithm for highly linkage-based routing problems.
Int. J. Bio Inspired Comput., 2021

CCSL: A Causal Structure Learning Method from Multiple Unknown Environments.
CoRR, 2021

On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization.
CoRR, 2021

THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences.
CoRR, 2021

FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders.
CoRR, 2021

Intelligent classification of antepartum cardiotocography model based on deep forest.
Biomed. Signal Process. Control., 2021

SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Causal Discovery with Multi-Domain LiNGAM for Latent Factors.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Cooperative co-evolution strategies with time-dependent grouping for optimization problems in smart grids.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Research on the Design of Active Learning Algorithm based on Query-by-Committee for Intelligent Fetal Monitoring.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Effective techniques for intelligent cardiotocography interpretation using XGB-RF feature selection and stacking fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Appearance-Motion Memory Consistency Network for Video Anomaly Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables.
IEEE Trans. Neural Networks Learn. Syst., 2020

DACH: Domain Adaptation Without Domain Information.
IEEE Trans. Neural Networks Learn. Syst., 2020

Supereigenvalue Problem to Addition-Min Fuzzy Matrix With Application in P2P File Sharing System.
IEEE Trans. Fuzzy Syst., 2020

A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems.
IEEE Trans. Evol. Comput., 2020

An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization.
IEEE Trans. Evol. Comput., 2020

Optimization of Lennard-Jones clusters by particle swarm optimization with quasi-physical strategy.
Swarm Evol. Comput., 2020

Multi-distribution multi-commodity multistate flow network model and its reliability evaluation algorithm.
Reliab. Eng. Syst. Saf., 2020

General multi-state rework network and reliability algorithm.
Reliab. Eng. Syst. Saf., 2020

A causal discovery algorithm based on the prior selection of leaf nodes.
Neural Networks, 2020

Multi-context aware user-item embedding for recommendation.
Neural Networks, 2020

FOM: Fourth-order moment based causal direction identification on the heteroscedastic data.
Neural Networks, 2020

Mining hidden non-redundant causal relationships in online social networks.
Neural Comput. Appl., 2020

Animating turbulent fluid with a robust and efficient high-order advection method.
Comput. Animat. Virtual Worlds, 2020

Block diagonal representation learning for robust subspace clustering.
Inf. Sci., 2020

Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs.
CoRR, 2020

Detail-preserving smoke simulation using an efficient high-order numerical scheme.
Sci. China Inf. Sci., 2020

Quickest Multistate Flow Networks With the Deterioration Effect.
IEEE Access, 2020

A Novel Convolution-Based Algorithm for the Acyclic Network Symbolic Reliability Function Problem.
IEEE Access, 2020

Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

DRS+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Automatic Classification of Antepartum Cardiotocography Using Fuzzy Clustering and Adaptive Neuro -Fuzzy Inference System.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Novel Multistate Minimal Cut Vectors Problem and Its Algorithm.
IEEE Trans. Reliab., 2019

Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks.
IEEE Trans. Mob. Comput., 2019

Pixel-Level Discrete Multiobjective Sampling for Image Matting.
IEEE Trans. Image Process., 2019

Multiobjective Evolutionary Optimization Based on Fuzzy Multicriteria Evaluation and Decomposition for Image Matting.
IEEE Trans. Fuzzy Syst., 2019

The effects of trust on life satisfaction in the context of WeChat use.
Telematics Informatics, 2019

Particle swarm optimization with convergence speed controller for large-scale numerical optimization.
Soft Comput., 2019

Auto-scaling for real-time stream analytics on HPC cloud.
Serv. Oriented Comput. Appl., 2019

A subgraph-representation-based method for answering complex questions over knowledge bases.
Neural Networks, 2019

Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget.
Knowl. Based Syst., 2019

基于嵌入学习的用户动态偏好预测 (Predicting User's Dynamic Preference Based on Embedding Learning).
计算机科学, 2019

Multiagent Pursuit-Evasion Problem with the Pursuers Moving at Uncertain Speeds.
J. Intell. Robotic Syst., 2019

A Quick Inclusion-Exclusion technique.
Inf. Sci., 2019

Practical POMDP-based test mechanism for quality assurance in volunteer crowdsourcing.
Enterp. Inf. Syst., 2019

General Multi-State Rework Network and Reliability Algorithm.
CoRR, 2019

Causal Discovery with Cascade Nonlinear Additive Noise Models.
CoRR, 2019

Theoretical analysis of the convergence property of a basic pigeon-inspired optimizer in a continuous search space.
Sci. China Inf. Sci., 2019

Deep infrared pedestrian classification based on automatic image matting.
Appl. Soft Comput., 2019

A Differential Privacy Support Vector Machine Classifier Based on Dual Variable Perturbation.
IEEE Access, 2019

NADAQ: Natural Language Database Querying Based on Deep Learning.
IEEE Access, 2019

Embedding Logic Rules Into Recurrent Neural Networks.
IEEE Access, 2019

Triad Constraints for Learning Causal Structure of Latent Variables.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

Causal Discovery with Cascade Nonlinear Additive Noise Model.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Disentangled Semantic Representation for Domain Adaptation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest.
Proceedings of the Smart Health - International Conference, 2019

Runtime Analysis of Pigeon-Inspired Optimizer Based on Average Gain Model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Multiple-Instance Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst., 2018

Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018

Automated Test Case Generation Based on Differential Evolution With Relationship Matrix for iFogSim Toolkit.
IEEE Trans. Ind. Informatics, 2018

Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach.
ACM Trans. Auton. Adapt. Syst., 2018

Evolutionary programming with a simulated-conformist mutation strategy.
Soft Comput., 2018

Running-time analysis of evolutionary programming based on Lebesgue measure of searching space.
Neural Comput. Appl., 2018

Alpha matting with image pixel correlation.
Int. J. Mach. Learn. Cybern., 2018

Two-way negotiation for intelligent hotel reservation based on multiagent: The model and system.
Knowl. Based Syst., 2018

A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems.
Knowl. Based Syst., 2018

Synthetic fluid details for the vorticity loss in advection.
Comput. Animat. Virtual Worlds, 2018

基于多视角多标签学习的读者情绪分类 (Emotion Classification for Readers Based on Multi-view Multi-label Learning).
计算机科学, 2018

Causal feature selection method based on extended Markov blanket.
Int. J. Wirel. Mob. Comput., 2018

A multi-task-based classification framework for multi-instance distance metric learning.
Neurocomputing, 2018

Maximizing Algebraic Connectivity via Minimum Degree and Maximum Distance.
IEEE Access, 2018

Resource-Aware Stream Processing in High Performance Cloud Environment.
Proceedings of the 2018 IEEE SmartWorld, 2018

Causal Discovery from Discrete Data using Hidden Compact Representation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

HPC2-ARS: An Architecture for Real-Time Analytic of Big Data Streams.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

HASS: High Accuracy Spike Sorting with Wavelet Package Decomposition and Mutual Information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

SELF: Structural Equational Likelihood Framework for Causal Discovery.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Understanding Social Causalities Behind Human Action Sequences.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Sphere-Description-Based Approach for Multiple-Instance Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A multiple-instance stream learning framework for adaptive document categorization.
Knowl. Based Syst., 2017

Running-time Analysis of Ant System Algorithms with Upper-bound Comparison.
Int. J. Swarm Intell. Res., 2017

Recognizing activities from partially observed streams using posterior regularized conditional random fields.
Neurocomputing, 2017

SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee.
CoRR, 2017

Differential Evolution Based on Self-Adaptive Fitness Function for Automated Test Case Generation.
IEEE Comput. Intell. Mag., 2017

Automated test data generation based on particle swarm optimisation with convergence speed controller.
CAAI Trans. Intell. Technol., 2017

A Construction Graph-Based Evolutionary Algorithm for Traveling Salesman Problem.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

A Robust Noise Resistant Algorithm for POI Identification from Flickr Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

An Approach for Inferring Causal Directions from Multi-Dimensional Networks.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Evolutionary algorithm with convergence speed controller for automated software test data generation problem.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2016

Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction.
Soft Comput., 2016

A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation.
Inf. Sci., 2016

A unified multi-label classification framework with supervised low-dimensional embedding.
Neurocomputing, 2016

Optimal Linear Aggregate Query Processing under Approximate Differential Privacy.
CoRR, 2016

First hitting time analysis of continuous evolutionary algorithms based on average gain.
Clust. Comput., 2016

Multi-Domain Manifold Learning for Drug-Target Interaction Prediction.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Convex Optimization for Linear Query Processing under Approximate Differential Privacy.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A human-machine cooperative approach for combinatorial optimization problem.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Human-computer cooperative brain storm optimization algorithm for the two-echelon vehicle routing problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Real Adjacency Matrix-Coded Differential Evolution Algorithm for Traveling Salesman Problems.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Evolutionary Process: Parallelism Analysis of Differential Evolution Algorithm Based on Graph Theory.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

Sentiment Target Extraction Based on CRFs with Multi-features for Chinese Microblog.
Proceedings of the Web Technologies and Applications, 2016

2015
An improved clustering ensemble method based link analysis.
World Wide Web, 2015

Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.
ACM Trans. Database Syst., 2015

Automatic multilevel thresholding for image segmentation using stratified sampling and Tabu Search.
Soft Comput., 2015

A robust one-class transfer learning method with uncertain data.
Knowl. Inf. Syst., 2015

Enhanced soft subspace clustering through hybrid dissimilarity.
J. Intell. Fuzzy Syst., 2015

Deterministic identification of specific individuals from GWAS results.
Bioinform., 2015

Causal discovery on high dimensional data.
Appl. Intell., 2015

Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph.
Proceedings of the Web Technologies and Applications, 2015

A Semi-supervised Solution for Cold Start Issue on Recommender Systems.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
An Efficient Approach for Outlier Detection with Imperfect Data Labels.
IEEE Trans. Knowl. Data Eng., 2014

Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams.
IEEE Trans. Knowl. Data Eng., 2014

A Similarity-Based Classification Framework for Multiple-Instance Learning.
IEEE Trans. Cybern., 2014

An evolutionary algorithm based on constraint set partitioning for nurse rostering problems.
Neural Comput. Appl., 2014

An efficient orientation distance-based discriminative feature extraction method for multi-classification.
Knowl. Inf. Syst., 2014

A Practical Graph Isomorphism Algorithm with Vertex Canonical Labeling.
J. Comput., 2014

Graph-based semi-supervised learning by mixed label propagation with a soft constraint.
Inf. Sci., 2014

A general framework of hierarchical clustering and its applications.
Inf. Sci., 2014

BILGO: Bilateral greedy optimization for large scale semidefinite programming.
Neurocomputing, 2014

A K-Farthest-Neighbor-based approach for support vector data description.
Appl. Intell., 2014

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A Causal Model for Disease Pathway Discovery.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Latent semantic KNN algorithm for multi-label learning.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Supervised low dimensional embedding for multi-label classification.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Low-Density Cut Based Tree Decomposition for Large-Scale SVM Problems.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A cooperative honey bee mating algorithm and its application in multi-threshold image segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Discovering Many-to-One Causality in Software Project Risk Analysis.
Proceedings of the 2014 Ninth International Conference on P2P, 2014

2013
A Linear Support Higher-Order Tensor Machine for Classification.
IEEE Trans. Image Process., 2013

Causal gene identification using combinatorial V-structure search.
Neural Networks, 2013

An adaptive class pairwise dimensionality reduction algorithm.
Neural Comput. Appl., 2013

A primal method for multiple kernel learning.
Neural Comput. Appl., 2013

Product named entity recognition for Chinese query questions based on a skip-chain CRF model.
Neural Comput. Appl., 2013

SVDD-based outlier detection on uncertain data.
Knowl. Inf. Syst., 2013

Multi-objective Differential Evolution Algorithm based on Adaptive Mutation and Partition Selection.
J. Comput., 2013

Low-rank quadratic semidefinite programming.
Neurocomputing, 2013

Uncertain exit time multi-period mean-variance portfolio selection with endogenous liabilities and Markov jumps.
Autom., 2013

Regularized Gaussian Mixture Model based discretization for gene expression data association mining.
Appl. Intell., 2013

MODS: Multiple One-class Data Streams Learning from Homogeneous Data.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Robust Textual Data Streams Mining Based on Continuous Transfer Learning.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

One-Class Transfer Learning with Uncertain Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

An improved local adaptive clustering ensemble based on link analysis.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

SADA: A General Framework to Support Robust Causation Discovery.
Proceedings of the 30th International Conference on Machine Learning, 2013

A Hybrid Approach for Large Scale Causality Discovery.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

Chinese Sentiment Classification Based on the Sentiment Drop Point.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2012
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy.
Proc. VLDB Endow., 2012

Local Community Detection Using Link Similarity.
J. Comput. Sci. Technol., 2012

Example-based learning particle swarm optimization for continuous optimization.
Inf. Sci., 2012

Gaussian kernel-based fuzzy inference systems for high dimensional regression.
Neurocomputing, 2012

Convergence time analysis of ant system algorithm.
Int. J. Model. Identif. Control., 2012

Multilevel thresholding for image segmentation through Bayesian particle swarm optimisation.
Int. J. Model. Identif. Control., 2012

Multi-objective Evolutionary Algorithm Based on Layer Strategy.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Alpha Matting Using Artificial Immune Network.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Gaussian process learning for image classification based on low-level features.
Proceedings of the Eighth International Conference on Natural Computation, 2012

An improved link analysis based clustering ensemble method.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

A Memetic Algorithm Applied to Allocation Problem of the Concrete Mixing Plants.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks.
Proceedings of the 21st International Conference on Computer Communications and Networks, 2012

Word similarity-based Schema Matching and its application in Chinese mobile phone information integration.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

A novel auto-parameters selection process for image segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data.
IEEE Trans. Knowl. Data Eng., 2011

BASSUM: A Bayesian semi-supervised method for classification feature selection.
Pattern Recognit., 2011

A new hybrid method for gene selection.
Pattern Anal. Appl., 2011

Exact algorithm and heuristic for the Closest String Problem.
Comput. Oper. Res., 2011

Similarity-Based Approach for Positive and Unlabeled Learning.
Proceedings of the IJCAI 2011, 2011

Hybrid Swarm-Based Optimization Algorithm of GA & VNS for Nurse Scheduling Problem.
Proceedings of the Information Computing and Applications, 2011

The 0/1 Multi-objective Knapsack Problem Based on Regional Search.
Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010
Robust least squares support vector machine based on recursive outlier elimination.
Soft Comput., 2010

Kernel based gene expression pattern discovery and its application on cancer classification.
Neurocomputing, 2010

Multi-agent system for customer relationship management with SVMs tool.
Int. J. Intell. Inf. Database Syst., 2010

Runtime Analysis of (1+1) Evolutionary Algorithm for a TSP Instance.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

An Intelligence Model with Max-Min Strategy for Constrained Evolutionary Optimization.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Runtime Analysis of Evolutionary Programming Based on Cauchy Mutation.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

A Relation-Based Model for Convergence Analysis of Evolutionary Algorithm.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Evolutionary Programming Improved by an Individual Random Difference Mutation.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

An evolutionary algorithm with sorted race mechanism for global optimization.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
A Pheromone-Rate-Based Analysis on the Convergence Time of ACO Algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2009

An efficient gene selection algorithm based on mutual information.
Neurocomputing, 2009

Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.
Proceedings of the ICDM Workshops 2009, 2009

Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification.
IEEE Trans. Neural Networks, 2008

A heuristic weight-setting strategy and iteratively updating algorithm for weighted least-squares support vector regression.
Neurocomputing, 2008

Evolutionary support center machine.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Nesting Algorithm for Multi-Classification Problems.
Soft Comput., 2007

An Improved Fuzzy Neural Network for Ultrasonic Motors Control.
Proceedings of the Advances in Neural Networks, 2007

A Novel Gene Ranking Algorithm Based on Random Subspace Method.
Proceedings of the International Joint Conference on Neural Networks, 2007

The Solution of Linear Programming with LR-Fuzzy Numbers in Objective Function.
Proceedings of the Fuzzy Information and Engineering, 2007

An ACO Algorithm with Adaptive Volatility Rate of Pheromone Trail.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm.
Proceedings of the Artificial Neural Networks, 2007

Successive Overrelaxation for Mamdani Fuzzy Systems.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

An Accelerated SMO-Type Online Learning Algorithm.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006
A Time Complexity Analysis of ACO for Linear Functions.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Local-Density-Ratio Based Algorithm for Setting Weight in Weighted Least Squares Support Vector Machine.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

A Fast Data Preprocessing Procedure for Support Vector Regression.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Heuristic Weight-Setting Algorithm for Robust Weighted Least Squares Support Vector Regression.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

PSO with Improved Strategy and Topology for Job Shop Scheduling.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

A Novel ACO Algorithm with Adaptive Parameter.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

ACO for Continuous Optimization Based on Discrete Encoding.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005
Fuzzy Comprehensive Evaluation of E-commerce and Process Improvement.
Proceedings of the Internet and Network Economics, First International Workshop, 2005

Twi-Map Support Vector Machine for Multi-classification Problems.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Equivalence of Classification and Regression Under Support Vector Machine Theory.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Hybrid Chromosome Genetic Algorithm for Generalized Traveling Salesman Problems.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Online LS-SVM Learning for Classification Problems Based on Incremental Chunk.
Proceedings of the Advances in Neural Networks, 2004


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