Kunpeng Liu

Orcid: 0000-0002-6053-5977

Affiliations:
  • Portland State University, Computer Science Department, OR, USA
  • University of Central Florida, Computer Science Department, FL, USA (former)


According to our database1, Kunpeng Liu authored at least 42 papers between 2018 and 2024.

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Bibliography

2024
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data, May, 2024

2023
Reinforced Imitative Graph Learning for Mobile User Profiling.
IEEE Trans. Knowl. Data Eng., December, 2023

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams.
IEEE Trans. Big Data, June, 2023

Interactive reinforced feature selection with traverse strategy.
Knowl. Inf. Syst., May, 2023

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.
ACM Trans. Spatial Algorithms Syst., March, 2023

Automated Feature Selection: A Reinforcement Learning Perspective.
IEEE Trans. Knowl. Data Eng., March, 2023

Automated urban planning aware spatial hierarchies and human instructions.
Knowl. Inf. Syst., March, 2023

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.
IEEE Trans. Knowl. Data Eng., 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.
ACM Trans. Intell. Syst. Technol., 2023

Feature Cognition Enhancement via Interaction-Aware Automated Transformation.
CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.
CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing.
Proceedings of the IEEE International Conference on Data Mining, 2023

RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph.
Proceedings of the IEEE International Conference on Data Mining, 2023

T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Self-Optimizing Feature Transformation.
CoRR, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Feature and Instance Joint Selection: A Reinforcement Learning Perspective.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data.
Frontiers Big Data, 2021

Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing.
Frontiers Big Data, 2021

Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases.
Frontiers Big Data, 2021

AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Multi-Armed Bandit Based Feature Selection.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance.
Proceedings of the IEEE International Conference on Data Mining, 2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy.
Proceedings of the IEEE International Conference on Data Mining, 2021

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Exploiting Mutual Information for Substructure-aware Graph Representation Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Ambulance Dispatch via Deep Reinforcement Learning.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Privacy-Preserving Multi-task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018


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