Kunpeng Zhang

Orcid: 0000-0002-1474-3169

Affiliations:
  • University of Maryland, College Park, MD, USA
  • Northwestern University, Evanston, IL, USA (PhD 2013)


According to our database1, Kunpeng Zhang authored at least 107 papers between 2010 and 2026.

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

Timeline

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Bibliography

2026
Generalizing across non-stationary series via learning dynamic causal factors.
Pattern Recognit., 2026

2025
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction.
IEEE Trans. Knowl. Data Eng., August, 2025

Relational Stock Selection via Probabilistic State Space Learning.
IEEE Trans. Knowl. Data Eng., February, 2025

A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability.
ACM Comput. Surv., February, 2025

Time to Stop? An Empirical Investigation on the Consequences of Canceling Monetary Incentives on a Digital Platform.
Inf. Syst. Res., 2025

Extracting key insights from earnings call transcript via information-theoretic contrastive learning.
Inf. Process. Manag., 2025

Human-AI Collaborative Essay Scoring: A Dual-Process Framework with LLMs.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Progressive Dependency Representation Learning for Stock Ranking in Uncertain Risk Contrasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Commonality Augmented Disentanglement for Multimodal Crowdfunding Success Prediction.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Information Cascade Popularity Prediction via Probabilistic Diffusion.
IEEE Trans. Knowl. Data Eng., December, 2024

Score-based Graph Learning for Urban Flow Prediction.
ACM Trans. Intell. Syst. Technol., June, 2024

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

TM-OKC: An Unsupervised Topic Model for Text in Online Knowledge Communities.
MIS Q., 2024

Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks.
Inf. Fusion, 2024

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

Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Enhancing Dependency Dynamics in Traffic Flow Forecasting via Graph Risk Bootstrap.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 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
MetaGeo: A General Framework for Social User Geolocation Identification With Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., 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

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

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

IoT and Wearable Devices-Enhanced Information Provision of AR Glasses: A Multi-Modal Analysis in Aviation Industry.
Proceedings of the 44th International Conference on Information Systems, 2023

Towards an Automatic Prompt Optimization Framework for AI Image Generation.
Proceedings of the HCI International 2023 Posters, 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
Self-supervised representation learning for trip recommendation.
Knowl. Based Syst., 2022

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

CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases.
Proceedings of the IEEE INFOCOM 2022, 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
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models.
IEEE Trans. Neural Networks Learn. Syst., 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

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

Recommendation via Collaborative Autoregressive Flows.
Neural Networks, 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

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 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

Information Diffusion Prediction via Recurrent Cascades Convolution.
Proceedings of the 35th IEEE International Conference on Data Engineering, 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
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
Identifying Human Mobility via Trajectory Embeddings.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

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
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

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

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


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