Kunpeng Liu

According to our database, Kunpeng Liu authored at least 60 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep Adaptive Graph Clustering via von Mises-Fisher Distributions.

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

ACM Trans. Web, May, 2024

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

Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu

ACM Trans. Knowl. Discov. Data, May, 2024

Anchor-guided global view reconstruction for multi-view multi-label feature selection.

Pingting Hao, Kunpeng Liu, Wanfu Gao

Inf. Sci., 2024

Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning.

Jinghan Zhang, Fengran Mo, Xiting Wang, Kunpeng Liu

CoRR, 2024

TIFG: Text-Informed Feature Generation with Large Language Models.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Yuzhong Chen, Kunpeng Liu

CoRR, 2024

Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization.

Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao

CoRR, 2024

Prototypical Reward Network for Data-Efficient RLHF.

Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu

CoRR, 2024

Dynamic and Adaptive Feature Generation with LLM.

Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu

CoRR, 2024

RATT: A Thought Structure for Coherent and Correct LLM Reasoning.

Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu

CoRR, 2024

A Comprehensive Survey on Data Augmentation.

Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou

CoRR, 2024

Feature Interaction Aware Automated Data Representation Transformation.

Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

TFWT: Tabular Feature Weighting with Transformer.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hierarchical Reinforcement Learning for Point of Interest Recommendation.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction.

Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang

Proceedings of the Database Systems for Advanced Applications, 2024

Tabular Data-centric AI: Challenges, Techniques and Future Perspectives.

Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DCAI: The 4th International Workshop on Data-Centric AI.

Yanjie Fu, Kunpeng Liu, Dongjie Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction.

Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Prototypical Reward Network for Data-Efficient Model Alignment.

Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning.

Pingting Hao, Kunpeng Liu, Wanfu Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reinforced Imitative Graph Learning for Mobile User Profiling.

Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes

IEEE Trans. Knowl. Data Eng., December, 2023

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

Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu

IEEE Trans. Big Data, June, 2023

Interactive reinforced feature selection with traverse strategy.

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

Knowl. Inf. Syst., May, 2023

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

Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu

ACM Trans. Spatial Algorithms Syst., March, 2023

Automated Feature Selection: A Reinforcement Learning Perspective.

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

IEEE Trans. Knowl. Data Eng., March, 2023

Automated urban planning aware spatial hierarchies and human instructions.

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

Knowl. Inf. Syst., March, 2023

Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop.

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

IEEE Trans. Knowl. Data Eng., 2023

Reinforced Explainable Knowledge Concept Recommendation in MOOCs.

Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin

ACM Trans. Intell. Syst. Technol., 2023

Feature Cognition Enhancement via Interaction-Aware Automated Transformation.

Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu

CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.

Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin

CoRR, 2023

A Counterfactual Collaborative Session-based Recommender System.

Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin

Proceedings of the ACM Web Conference 2023, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.

Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

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

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

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

Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

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

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

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Self-Optimizing Feature Transformation.

Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou

CoRR, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.

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

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.

Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

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

Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin

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.

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective.

Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

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

Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu

Frontiers Big Data, 2021

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

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

Frontiers Big Data, 2021

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

Weijieying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu

Frontiers Big Data, 2021

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

Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

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

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

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Multi-Armed Bandit Based Feature Selection.

Kunpeng Liu, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning.

Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2021

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

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

Proceedings of the IEEE International Conference on Data Mining, 2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy.

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

Proceedings of the IEEE International Conference on Data Mining, 2021

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

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

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.

Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu

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.

Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu

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.

Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent.

Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

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

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

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Ambulance Dispatch via Deep Reinforcement Learning.

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

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.

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

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.

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

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Privacy-Preserving Multi-task Learning.

Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2018