Publications

Publications in 2024

[IJCAI] Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu

TFWT: Tabular Feature Weighting with Transformer

In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, South Korea, 2024

[IJCAI] Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin

Hierarchical Reinforcement Learning for Point of Interest Recommendation

In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, South Korea, 2024

[DASFAA] Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang

M2Mol: Multi-View Multi-Granularity Molecular Representation Learning for Property Prediction

In Proceedings of the 29th International Conference on Database Systems for Advanced Applications (DASFAA’24), Gifu, Japan, 2024

[AAAI] Pingting Hao, Kunpeng Liu, Wanfu Gao

Double-Layer Hybrid-Label Identificationtion Feature Selection for Multi-View Multi-Label Learning

In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI’24), Vancouver, Canada, 2024

[SDM] Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu

Feature Interaction Aware Automated Data Representation Transformation

In Proceedings of 2024 SIAM International Conference on Data Mining (SDM’24), Houston, Texas, USA, 2024

[TKDD] Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective

ACM Transactions on Knowledge Discovery from Data

[TWEB] Pengfei Wang, Daqing Wu, Chong Chen, Kunpeng Liu, Yanjie Fu, Jianqiang Huang, Yuanchun Zhou, Jianfeng Zhan, Xiansheng Hua

Deep Adaptive Graph Clustering via von Mises-Fisher Distributions

ACM Transactions on the Web

Publications in 2023

[TBD] Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams

IEEE Transactions on Big Data

[KAIS] Kunpeng Liu, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu

Interactive Reinforced Feature Selection with Traverse Strategy

Knowledge and Information Systems

[TIST] Lu Jiang, Kunpeng Liu, Yibin Wang, Pengyang Wang, Yanjie Fu, Minghao Yin

Reinforced Explainable Knowledge Concept Recommendation in MOOCs

ACM Transactions on Intelligent Systems and Technology

[TKDE] Dongjie Wang, Yanjie Fu, Pengyang Wang, Kunpeng Liu, Hui Xiong, Charles Hughes

Reinforced Imitative Graph Learning for Mobile User Profiling

IEEE Transactions on Knowledge and Data Engineering

[TKDE] Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong

Automated Feature Selection: A Reinforcement Learning Perspective

IEEE Transactions on Knowledge and Data Engineering

[TKDE] Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

IEEE Transactions on Knowledge and Data Engineering

[TSAS] Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglang Chen, Pengyang Wang, Chang-Tien Lu

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation

ACM Transactions on Spatial Algorithms and Systems

[ICDM] Shipeng Guo, Kunpeng Liu, Pengfei Wang, Wenjuan Cui, Weiwei Dai, Yi Du, Yuanchun Zhou

RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph

In Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM’23), Shanghai, China, 2023

[ICDM] Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu

Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing

In Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM’23), Shanghai, China, 2023

[CIKM] Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu

T-SaS: Toward Shift- aware Dynamic Adaptation for Streaming Data

In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM’23), Birmingham, UK, 2023

[TheWebConf] Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin

A Counterfactual Collaborative Session-based Recommender System

In Proceedings of the ACM Web Conference 2023 (TheWebConf’23), Austin, Texas, USA, 2023.

[SDM] Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations

In Proceedings of 2023 SIAM International Conference on Data Mining (SDM’23), Minneapolis, Minnesota, USA, 2023

[SDM] Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

In Proceedings of 2023 SIAM International Conference on Data Mining (SDM’23), Minneapolis, Minnesota, USA, 2023

Publications in 2022

[KDD] Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin

Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction

In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’22), Washington DC, USA, 2022

[ICDM] Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, LIM Ee Peng, Yanjie Fu

In Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM’22), Orlando, USA, 2022

[IJCAI] Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu

Feature and Instance Joint Selection: A Reinforcement Learning Perspective

In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI’22), Messe Wien, Vienna, Austria, 2022

[TheWebConf] Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning

In Proceedings of the ACM Web Conference 2022 (TheWebConf’22), Lyon, France, 2022

[SDM] Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM

In Proceedings of 2022 SIAM International Conference on Data Mining (SDM’22), Alexandria, Virginia, USA, 2022

[KAIS] Dongjie Wang, Kunpeng Liu, Yanyong Huang, Leilei Sun, Bowen Du, Yanjie Fu

Automated Urban Planning Aware Spatial Hierarchies and Human Instructions

Knowledge and Information Systems

[JCM] Yirui Hu, Kunpeng Liu, Kevin Ho, David Riviello, Jason Brown, Alex R. Chang, Gurmukteshwar Singh, H Lester Kirchner

A Simpler Machine Learning Model for Acute Kidney Injury Risk

Journal of Clinical Medicine

Publications in 2021

[ICDM] Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy

In Proceedings of the 21st IEEE International Conference on Data Mining (ICDM’21), Auckland, New Zealand, 2021.

[ICDM] Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu

Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance

In Proceedings of the 21st IEEE International Conference on Data Mining (ICDM’21), Auckland, New Zealand, 2021

[SDM] Kunpeng Liu, Haibo Huang, Wei Zhang, Yanjie Fu, Kien Hua

Multi-Armed Bandit Guided Feature Subspace Exploration

In Proceedings of 2021 SIAM International Conference on Data Mining (SDM’21), Virginia, USA, 2021

[SDM] Wei Fan, Kunpeng Liu, Hao Liu, Dejing Dou, Yanjie Fu

AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning

In Proceedings of 2021 SIAM International Conference on Data Mining (SDM’21), Virginia, USA, 2021.

[SDM] Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling

In Proceedings of 2021 SIAM International Conference on Data Mining (SDM’21), Virginia, USA, 2021

[SIGSPATIAL] Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning

In Proceedings of the 29th ACM SIGSPATIAL, Beijing, China, 2021

[Frontiers in Big Data] Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu

Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data

Frontiers in Big Data

[Frontiers in Big Data] Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu

Towards Semantically-rich Spatial Network Representation Learning via Automated Feature Topic Pairing

Frontiers in Big Data

[Frontiers in Big Data] Weijieying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu

Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases

Frontiers in Big Data

Publications in 2020

[AAAI] Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles Hughes, Yanjie Fu

Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective

In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI’21), Vancouver, Canada, 2021

[SIGSPATIAL] Kunpeng Liu, Xiaolin Li, Cliff C. Zou, Haibo Huang, Yanjie Fu

Ambulance Dispatch via Deep Reinforcement Learning

In Proceedings of the 28th ACM SIGSPATIAL, Seattle, USA, 2020

[KDD] Pengyang Wang, Kunpeng Liu, Lu Jiang, Yanjie Fu, Xiaolin Li

Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams

In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’20), San Diego, USA, 2020

[IJCAI] Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien Hua

Exploiting Mutual Information for Substructure-aware Graph Representation Learning

In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI’20), Pacifico Yokohama, Japan, 2020

[ICDM] Xiaosa Zhao, Kunpeng Liu, Wei Fan, Xiaowei Zhao, Minghao Yin, Yanjie Fu

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent

In Proceedings of the 20th IEEE International Conference on Data Mining (ICDM’20), Sorrento, Italy, 2020

[ICDM] Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu

AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning

In Proceedings of the 20th IEEE International Conference on Data Mining (ICDM’20), Sorrento, Italy, 2020

[FDC] Kunpeng Liu, Xiaosa Zhao, Yirui Hu, Yanjie Fu

Modeling the Effects of Individual and Group Heterogeneity on Multi-Aspect Rating Behavior

Frontiers of Data and Computing

[JPM] Jing Hao, Dina Hassen, Kandamurugu Manickam, Michael F Murray, Dustin N Hartzel, Yirui Hu, Kunpeng Liu, Alanna Kulchak Rahm, Marc S Williams, Amanda Lazzeri, Adam Buchanan, Amy Sturm, Susan R Snyder

Healthcare Utilization and Costs after Receiving a Positive BRCA1/2 Result from a Genomic Screening Program.

Journal of Personalized Medicine

Publications in 2019

[KDD] Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li

Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning

In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’19), Anchorage, Alaska, USA, 2019

Publications in 2018

[ICDM] Kunpeng Liu, Nitish Uplavikar, Yanjie Fu, Wei Jiang

Privacy-Preserving Multi-Task Learning

In Proceedings of the 18th IEEE International Conference on Data Mining (ICDM’18), Sentosa Island, Singapore, 2018

[SDM] Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das

Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction

In Proceedings of 2018 SIAM International Conference on Data Mining (SDM'18), San Diego, California, USA, 2018