Kunpeng Zhang

Orcid: 0000-0002-1474-3169

According to our database1, Kunpeng Zhang authored at least 155 papers between 2006 and 2024.

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Bibliography

2024
Distributed Event-Triggered Algorithms for Multi-Objective Resource Allocation Problem.
Unmanned Syst., March, 2024

Inferring Real Mobility in Presence of Fake Check-ins Data.
ACM Trans. Intell. Syst. Technol., February, 2024

Semantic understanding and prompt engineering for large-scale traffic data imputation.
Inf. Fusion, February, 2024

From Automation to Augmentation: Large Language Models Elevating Essay Scoring Landscape.
CoRR, 2024

Temporal Shift Module-Based Vision Transformer Network for Action Recognition.
IEEE Access, 2024

Distribution-Aware Loss for Lesions Detection Using White-Light Endoscopy in Colorectal Region.
IEEE Access, 2024

THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Explainable Earnings Call Representation Learning (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Escape-Zone-Based Optimal Evasion Guidance Against Multiple Orbital Pursuers.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

BEV-V2X: Cooperative Birds-Eye-View Fusion and Grid Occupancy Prediction via V2X-Based Data Sharing.
IEEE Trans. Intell. Veh., November, 2023

Semi-Supervised Anomaly Detection Via Neural Process.
IEEE Trans. Knowl. Data Eng., October, 2023

Counterfactual Graph Learning for Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng., October, 2023

A robust mean cumulative function estimator and its application to overhaul time optimization for a fleet of heterogeneous repairable systems.
Reliab. Eng. Syst. Saf., August, 2023

IBGJO: Improved Binary Golden Jackal Optimization with Chaotic Tent Map and Cosine Similarity for Feature Selection.
Entropy, August, 2023

Predefined-time distributed multiobjective optimization for network resource allocation.
Sci. China Inf. Sci., July, 2023

TDCA: improved optimization algorithm with degree distribution and communication traffic for the deployment of software components based on AUTOSAR architecture.
Soft Comput., June, 2023

Underwater single-image restoration based on modified generative adversarial net.
Signal Image Video Process., June, 2023

CCGL: Contrastive Cascade Graph Learning.
IEEE Trans. Knowl. Data Eng., May, 2023

Adversarial Human Trajectory Learning for Trip Recommendation.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction.
IEEE Trans. Knowl. Data Eng., April, 2023

3D Multi-Object Tracking Based on Dual-Tracker and D-S Evidence Theory.
IEEE Trans. Intell. Veh., March, 2023

Directed-Graph-Learning-Based Diagnosis of Multiple Faults for High Speed Train With Switched Dynamics.
IEEE Trans. Cybern., March, 2023

sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics.
Inf. Syst. Res., March, 2023

Boost Correlation Features with 3D-MiIoU-Based Camera-LiDAR Fusion for MODT in Autonomous Driving.
Remote. Sens., February, 2023

AI-TP: Attention-Based Interaction-Aware Trajectory Prediction for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2023

Dynamic Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization with Event-Triggered Communication.
CoRR, 2023

SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection.
CoRR, 2023

Large-Scale Traffic Data Imputation with Spatiotemporal Semantic Understanding.
CoRR, 2023

Curvature-Based Machine Vision Method for Measuring the Dimension of Ball Screws.
IEEE Access, 2023

Multimodal Data Augmentation for Image Captioning using Diffusion Models.
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, 2023

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trans-DAE: Transformer-based Double Autoencoder for Anomaly Detection on Attributed Networks.
Proceedings of the 19th International Conference on Natural Computation, 2023

Towards an Automatic Prompt Optimization Framework for AI Image Generation.
Proceedings of the HCI International 2023 Posters, 2023

Multimodal Co-attention Transformer for Video-Based Personality Understanding.
Proceedings of the IEEE International Conference on Big Data, 2023

Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications.
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Mobility Prediction via Sequential Trajectory Disentanglement (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Trajectory Prediction for Autonomous Driving Using Spatial-Temporal Graph Attention Transformer.
IEEE Trans. Intell. Transp. Syst., 2022

A Systematic Solution of Human Driving Behavior Modeling and Simulation for Automated Vehicle Studies.
IEEE Trans. Intell. Transp. Syst., 2022

Self-supervised representation learning for trip recommendation.
Knowl. Based Syst., 2022

Risk Disclosure in Crowdfunding.
Inf. Syst. Res., 2022

Why does the president tweet this? Discovering reasons and contexts for politicians' tweets from news articles.
Inf. Process. Manag., 2022

Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach.
INFORMS J. Comput., 2022

A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances.
ACM Comput. Surv., 2022

Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs.
CoRR, 2022

Driving Safety Monitoring and Warning for Connected and Automated Vehicles via Edge Computing.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases.
Proceedings of the IEEE INFOCOM 2022, 2022

Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

A Comparative Study on Single-handed Keyboards on Large-screen Mobile Devices.
Proceedings of the AVI 2022: International Conference on Advanced Visual Interfaces, Frascati, Rome, Italy, June 6, 2022

Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

A Probabilistic Framework for Land Deformation Prediction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Dynamic Manifold Learning for Land Deformation Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A High-Dimensional Video Sequence Completion Method with Traffic Data Completion Generative Adversarial Networks.
Wirel. Commun. Mob. Comput., 2021

Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multiple-Model-Based Diagnosis of Multiple Faults With High-Speed Train Applications Using Second-Level Adaptation.
IEEE Trans. Ind. Electron., 2021

An improved parking space recognition algorithm based on panoramic vision.
Multim. Tools Appl., 2021

Measuring Brand Favorability Using Large-Scale Social Media Data.
Inf. Syst. Res., 2021

Unifying Online and Offline Preference for Social Link Prediction.
INFORMS J. Comput., 2021

Improving human mobility identification with trajectory augmentation.
GeoInformatica, 2021

Self-supervised Representation Learning for Trip Recommendation.
CoRR, 2021

Graph Neural Network Based VC Investment Success Prediction.
CoRR, 2021

A generative adversarial network for travel times imputation using trajectory data.
Comput. Aided Civ. Infrastructure Eng., 2021

Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction.
IEEE Access, 2021

Vector-Quantized Autoencoder With Copula for Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Land Deformation Prediction via Slope-Aware Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hybrid graph convolutional networks with multi-head attention for location recommendation.
World Wide Web, 2020

Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation.
ACM Trans. Spatial Algorithms Syst., 2020

Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-Task Learning.
IEEE Trans. Intell. Transp. Syst., 2020

Recommendation via Collaborative Autoregressive Flows.
Neural Networks, 2020

An improved MobileNet-SSD algorithm for automatic defect detection on vehicle body paint.
Multim. Tools Appl., 2020

An APF-ACO algorithm for automatic defect detection on vehicle paint.
Multim. Tools Appl., 2020

Vehicle-mounted surround vision algorithm based on heterogeneous architecture.
Multim. Tools Appl., 2020

Reinforced Spatiotemporal Attentive Graph Neural Networks for Traffic Forecasting.
IEEE Internet Things J., 2020

Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach.
INFORMS J. Comput., 2020

Session-based recommendation via flow-based deep generative networks and Bayesian inference.
Neurocomputing, 2020

A deep learning based multitask model for network-wide traffic speed prediction.
Neurocomputing, 2020

Topic-Aware Abstractive Text Summarization.
CoRR, 2020

A Baseline Analysis for Podcast Abstractive Summarization.
CoRR, 2020

A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact.
CoRR, 2020

Continual Graph Learning.
CoRR, 2020

A Multitask Learning Model for Traffic Flow and Speed Forecasting.
IEEE Access, 2020

A Two-Phase Approach for Abstractive Podcast Summarization.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Forecasting the Evolution of Hydropower Generation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Variational Information Diffusion for Probabilistic Cascades Prediction.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Fast Network Alignment via Graph Meta-Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Enhancing Urban Flow Maps via Neural ODEs.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Interpreting Twitter User Geolocation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Predicting Topic Participation by Jointly Learning User Intrinsic and Extrinsic Preference.
IEEE Access, 2019

Motion Based Inference of Social Circles via Self-Attention and Contextualized Embedding.
IEEE Access, 2019

DeepAttr: Inferring Demographic Attributes via Social Network Embedding.
IEEE Access, 2019

Predicting Human Mobility via Variational Attention.
Proceedings of the World Wide Web Conference, 2019

Adversarial Point-of-Interest Recommendation.
Proceedings of the World Wide Web Conference, 2019

Context-aware Variational Trajectory Encoding and Human Mobility Inference.
Proceedings of the World Wide Web Conference, 2019

Variational Session-based Recommendation Using Normalizing Flows.
Proceedings of the World Wide Web Conference, 2019

Information Cascades Modeling via Deep Multi-Task Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Disentangled Network Alignment with Matching Explainability.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Leveraging Deep-learning and Field Experiment Response Heterogeneity to Enhance Customer Targeting Effectiveness.
Proceedings of the 40th International Conference on Information Systems, 2019

Your Preference or Mine? A Randomized Field Experiment on Recommender Systems in Two-sided Matching Markets.
Proceedings of the 40th International Conference on Information Systems, 2019

Retail Firms' Use of Social Media - Insights from Analysis of Large-Scale Twitter Data.
Proceedings of the 40th International Conference on Information Systems, 2019

Information Diffusion Prediction via Recurrent Cascades Convolution.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Can Title Images Predict the Emotions and the Performance of Crowdfunding Projects?
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

DeepTrip: Adversarially Understanding Human Mobility for Trip Recommendation.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Meta-GNN: On Few-shot Node Classification in Graph Meta-learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
MIMO Evolution Model-Based Coupled Fault Estimation and Adaptive Control With High-Speed Train Applications.
IEEE Trans. Control. Syst. Technol., 2018

Low-jitter DLL applied for two-segment TDC.
IET Circuits Devices Syst., 2018

DeepLink: A Deep Learning Approach for User Identity Linkage.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Trajectory-User Linking via Variational AutoEncoder.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Efficient Recommender System Using Locality Sensitive Hashing.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Trajectory-based social circle inference.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

vec2Link: Unifying Heterogeneous Data for Social Link Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications.
J. Data Inf. Sci., 2017

A tale of two countries: International comparison of online doctor reviews between China and the United States.
Int. J. Medical Informatics, 2017

Dynamic Analysis of a Rotor System Supported on Squeeze Film Damper with Air Entrainment.
Int. J. Bifurc. Chaos, 2017

Width design of circulation facilities in urban rail transit station.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Identifying Human Mobility via Trajectory Embeddings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Online Regulation of High Speed Train Trajectory Control Based on T-S Fuzzy Bilinear Model.
IEEE Trans. Intell. Transp. Syst., 2016

Large-Scale Network Analysis for Online Social Brand Advertising.
MIS Q., 2016

2015
Hygeia: A Practical and Tailored Data Collection Platform for Mobile Health.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Sentiment Analysis in Social Media Platforms: The Contribution of Social Relationships.
Proceedings of the International Conference on Information Systems, 2015

Text Mining Patient-Doctor Online Forum Data from the Largest Online Health Community in China.
Proceedings of the 21st Americas Conference on Information Systems, 2015

Reducing infrequent-token perplexity via variational corpora.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Incorporating conditional random fields and active learning to improve sentiment identification.
Neural Networks, 2014

MuSES: Multilingual Sentiment Elicitation System for Social Media Data.
IEEE Intell. Syst., 2014

A Systematic Framework for Sentiment Identification by Modeling User Social Effects.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Scalable audience targeted models for brand advertising on social networks.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Using Coauthor Networks to Extract Topics in Information Systems.
Proceedings of the International Conference on Information Systems, 2014

Ontology-Driven Cyber-Security Threat Assessment Based on Sentiment Analysis of Network Activity Data.
Proceedings of the 2014 International Conference on Cloud and Autonomic Computing, 2014

Empirical analysis of implicit brand networks on social media.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

2013
Graphical Modeling of Macro Behavioral Targeting in Social Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Forecast Oriented Classification of Spatio-Temporal Extreme Events.
Proceedings of the IJCAI 2013, 2013

Elver: Recommending Facebook pages in cold start situation without content features.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

A probabilistic graphical model for brand reputation assessment in social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Multiple Model Predictive Control of Component Content in Rare Earth Extraction Process.
J. Comput., 2012

Sentiment identification by incorporating syntax, semantics and context information.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

VOXSUP: a social engagement framework.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

CluChunk: clustering large scale user-generated content incorporating chunklet information.
Proceedings of the 1st International Workshop on Big Data, 2012

Braking Process Modeling and Simulation of CRH2 Electric Multiple Unit.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012

Generalized Predictive Control Based on Neurofuzzy Model for Electric Multiple Unit.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012

Probabilistic macro behavioral targeting.
Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, 2012

On active learning in hierarchical classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
SES: Sentiment Elicitation System for Social Media Data.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Learning to Group Web Text Incorporating Prior Information.
Proceedings of the Data Mining Workshops (ICDMW), 2011

A Multidimensional Scaling Analysis Algorithm of Nodes Localization Based on Steepest Descent in Wireless Sensor Networks.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

Mining millions of reviews: a technique to rank products based on importance of reviews.
Proceedings of the 13th International Conference on Electronic Commerce, 2011

2010
Voice of the Customers: Mining Online Customer Reviews for Product Feature-based Ranking.
Proceedings of the 3rd Workshop on Online Social Networks, 2010

High-End Analytics and Data Mining for Sustainable Competitive Advantage.
Proceedings of the Information Systems, Technology and Management, 2010

2008
PECB: prediction of enzyme catalytic residues based on Naive Bayes classification.
Int. J. Bioinform. Res. Appl., 2008

Linking Biological Databases Semantically for Knowledge Discovery.
Proceedings of the Advances in Conceptual Modeling - Challenges and Opportunities, 2008

2006
Using a Neural Networking Method to Predict the Protein Phosphorylation Sites with Specific Kinase.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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