Publications in 2024
[ACL] Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu
Prototypical Reward Network for Data-Efficient RLHF [Code]
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL'24), Bangkok, Thailand, 2024
[BigData] Henry Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu
Scoring with Large Language Models: A Study on Measuring Empathy of Responses in Dialogues
In Proceedings of the 2024 International Conference on Big Data (IEEE BigData'24) Undergraduate and High School Symposium, Washington DC, USA, 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
[CIKM] Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou and Pengfei Wang
H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction
In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), Boise, Idaho, USA, 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
[ICKG] Jinghan Zhang, Henry Xie, Xinhao Zhang, and Kunpeng Liu
Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions
In Proceedings of the 15th EEE International Conference on Knowledge Graphs (ICKG'24), Abu Dhabi, UAE, 2024
[ICKG] Xinhao Zhang, Jinghan Zhang, Wujun Si, and Kunpeng Liu
Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation
In Proceedings of the 15th EEE International Conference on Knowledge Graphs (ICKG'24), Abu Dhabi, UAE, 2024
[TKDD] Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu
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
[IS] Pingting Hao, Kunpeng Liu, Wanfu Gao
Anchor-Guided Global View Reconstruction for Multi-View Multi-Label Feature Selection
Information Sciences
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
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
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
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
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective
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
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
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
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
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
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
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