Kunpeng Zhang
Orcid: 0000-0002-1474-3169Affiliations:
- 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:
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Bibliography
2026
Pattern Recognit., 2026
2025
Disentangling Inter- and Intra-Cascades Dynamics for Information Diffusion Prediction.
IEEE Trans. Knowl. Data Eng., August, 2025
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
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
IEEE Trans. Knowl. Data Eng., December, 2024
ACM Trans. Intell. Syst. Technol., June, 2024
ACM Trans. Intell. Syst. Technol., February, 2024
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
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
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
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
IEEE Trans. Knowl. Data Eng., October, 2023
IEEE Trans. Knowl. Data Eng., October, 2023
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
Inf. Syst. Res., March, 2023
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
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
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Knowl. Based Syst., 2022
Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach.
INFORMS J. Comput., 2022
ACM Comput. Surv., 2022
CoRR, 2022
CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases.
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
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
Inf. Syst. Res., 2021
INFORMS J. Comput., 2021
GeoInformatica, 2021
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
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
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 Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact.
CoRR, 2020
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
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
IEEE Access, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the World Wide Web Conference, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2015
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
IEEE Intell. Syst., 2014
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
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the IJCAI 2013, 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012
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
Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, 2012
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
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
Proceedings of the Information Systems, Technology and Management, 2010