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ORCIDKunpeng Liu 0001
Person information
- affiliation: Portland State University, Computer Science Department, OR, USA
- affiliation (former): University of Central Florida, Computer Science Department, FL, USA
Other persons with the same name
- Kunpeng Liu — disambiguation page
- Kunpeng Liu 0002 — University of Notre Dame, Wireless Institute, ID, USA (and 1 more)
- Kunpeng Liu 0003 — George Mason University, Communications and Networking Lab, Fairfax, VA, USA
- Kunpeng Liu 0004
![[0000-0001-9416-0096]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9416-0096")
— Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China - Kunpeng Liu 0005 — State Grid Corporation of China, Dongli, Tianjin, China
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2020 – today
- 2024
[j14]Pingting Hao, Kunpeng Liu, Wanfu Gao:
Anchor-guided global view reconstruction for multi-view multi-label feature selection. Inf. Sci. 679: 121124 (2024)- [j13]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. ACM Trans. Knowl. Discov. Data 18(4): 76:1-76:22 (2024) - [j12]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 Trans. Web 18(2): 22:1-22:21 (2024) - [c36]Pingting Hao, Kunpeng Liu, Wanfu Gao:
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. AAAI 2024: 12295-12303 - [c35]Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu:
Prototypical Reward Network for Data-Efficient Model Alignment. ACL (1) 2024: 13871-13884 - [c34]Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang:
H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction. CIKM 2024: 4283-4287 - [c33]Yanjie Fu, Dongjie Wang, Hui Xiong, Kunpeng Liu:
Tabular Data-centric AI: Challenges, Techniques and Future Perspectives. CIKM 2024: 5522-5525 - [c32]Yanjie Fu, Kunpeng Liu, Dongjie Wang:
DCAI: The 4th International Workshop on Data-Centric AI. CIKM 2024: 5584-5587 - [c31]Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang:
M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. DASFAA (7) 2024: 264-274 - [c30]Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin:
Hierarchical Reinforcement Learning for Point of Interest Recommendation. IJCAI 2024: 2460-2468 - [c29]Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. IJCAI 2024: 2570-2578 - [c28]Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu:
Feature Interaction Aware Automated Data Representation Transformation. SDM 2024: 878-886 - [i28]Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. CoRR abs/2405.08403 (2024) - [i27]Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou:
A Comprehensive Survey on Data Augmentation. CoRR abs/2405.09591 (2024) - [i26]Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu:
RATT: A Thought Structure for Coherent and Correct LLM Reasoning. CoRR abs/2406.02746 (2024) - [i25]Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. CoRR abs/2406.03505 (2024) - [i24]Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu:
Prototypical Reward Network for Data-Efficient RLHF. CoRR abs/2406.06606 (2024) - [i23]Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao:
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization. CoRR abs/2406.07418 (2024) - [i22]Xinhao Zhang, Jinghan Zhang, Fengran Mo, Yuzhong Chen, Kunpeng Liu:
TIFG: Text-Informed Feature Generation with Large Language Models. CoRR abs/2406.11177 (2024) - [i21]Jinghan Zhang, Fengran Mo, Xiting Wang, Kunpeng Liu:
Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning. CoRR abs/2410.24155 (2024) - 2023
- [j11]Dongjie Wang, Kunpeng Liu, Yanyong Huang, Leilei Sun, Bowen Du, Yanjie Fu:
Automated urban planning aware spatial hierarchies and human instructions. Knowl. Inf. Syst. 65(3): 1337-1364 (2023) - [j10]Kunpeng Liu, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Interactive reinforced feature selection with traverse strategy. Knowl. Inf. Syst. 65(5): 1935-1962 (2023) - [j9]Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu:
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams. IEEE Trans. Big Data 9(3): 832-844 (2023) - [j8]Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, Minghao Yin:
Reinforced Explainable Knowledge Concept Recommendation in MOOCs. ACM Trans. Intell. Syst. Technol. 14(3): 43:1-43:20 (2023) - [j7]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 Trans. Knowl. Data Eng. 35(2): 1624-1636 (2023) - [j6]Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong:
Automated Feature Selection: A Reinforcement Learning Perspective. IEEE Trans. Knowl. Data Eng. 35(3): 2272-2284 (2023) - [j5]Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes:
Reinforced Imitative Graph Learning for Mobile User Profiling. IEEE Trans. Knowl. Data Eng. 35(12): 12944-12957 (2023) - [j4]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. 9(1): 2:1-2:24 (2023) - [c27]Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu:
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. CIKM 2023: 4244-4248 - [c26]Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu:
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. ICDM 2023: 748-757 - [c25]Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui:
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. ICDM 2023: 1049-1054 - [c24]Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu:
Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. SDM 2023: 343-351 - [c23]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. SDM 2023: 775-783 - [c22]Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin:
A Counterfactual Collaborative Session-based Recommender System. WWW 2023: 971-982 - [i20]Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin:
A Counterfactual Collaborative Session-based Recommender System. CoRR abs/2301.13364 (2023) - [i19]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. CoRR abs/2306.16893 (2023) - [i18]Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu:
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. CoRR abs/2309.02610 (2023) - [i17]Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu:
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. CoRR abs/2309.04612 (2023) - [i16]Ehtesamul Azim, Dongjie Wang, Kunpeng Liu, Wei Zhang, Yanjie Fu:
Feature Cognition Enhancement via Interaction-Aware Automated Transformation. CoRR abs/2309.17011 (2023) - 2022
- [c21]Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. ICDM 2022: 438-447 - [c20]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. IJCAI 2022: 2016-2022 - [c19]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin:
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. KDD 2022: 1826-1834 - [c18]Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. SDM 2022: 711-719 - [c17]Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie:
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. WWW 2022: 2098-2108 - [i15]Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu:
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams. CoRR abs/2201.10983 (2022) - [i14]Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes:
Reinforced Imitative Graph Learning for Mobile User Profiling. CoRR abs/2203.06550 (2022) - [i13]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. CoRR abs/2205.07867 (2022) - [i12]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Xiaolin Li, Yan Solihin:
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. CoRR abs/2205.14526 (2022) - [i11]Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou:
Self-Optimizing Feature Transformation. CoRR abs/2209.08044 (2022) - [i10]Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. CoRR abs/2211.01154 (2022) - [i9]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. CoRR abs/2212.13402 (2022) - 2021
- [j3]Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu:
Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers Big Data 4: 690970 (2021) - [j2]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 Big Data 4: 762899 (2021) - [j1]Weijieying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu:
Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases. Frontiers Big Data 4: 787459 (2021) - [c16]Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. AAAI 2021: 4410-4417 - [c15]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. SIGSPATIAL/GIS 2021: 450-453 - [c14]Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. ICDM 2021: 399-408 - [c13]Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu:
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. ICDM 2021: 679-688 - [c12]Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu:
Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance. ICDM 2021: 1054-1059 - [c11]Kunpeng Liu, Haibo Huang, Wei Zhang, Ahmad Hariri, Yanjie Fu, Kien A. Hua:
Multi-Armed Bandit Based Feature Selection. SDM 2021: 316-323 - [c10]Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu:
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. SDM 2021: 342-350 - [c9]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. SDM 2021: 567-575 - [i8]Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. CoRR abs/2101.02634 (2021) - [i7]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. CoRR abs/2109.11053 (2021) - [i6]Kunpeng Liu, Pengfei Wang, Dongjie Wang, Wan Du, Dapeng Oliver Wu, Yanjie Fu:
Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy. CoRR abs/2109.14180 (2021) - [i5]Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu:
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. CoRR abs/2110.07717 (2021) - [i4]Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR abs/2112.14699 (2021) - 2020
- [c8]Kunpeng Liu, Xiaolin Li, Cliff C. Zou, Haibo Huang, Yanjie Fu:
Ambulance Dispatch via Deep Reinforcement Learning. SIGSPATIAL/GIS 2020: 123-126 - [c7]Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. ICDM 2020: 871-880 - [c6]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. ICDM 2020: 1008-1013 - [c5]Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua:
Exploiting Mutual Information for Substructure-aware Graph Representation Learning. IJCAI 2020: 3415-3421 - [c4]Pengyang Wang, Kunpeng Liu, Lu Jiang, Xiaolin Li, Yanjie Fu:
Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. KDD 2020: 853-861 - [i3]Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu:
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning. CoRR abs/2008.12001 (2020) - [i2]Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu:
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. CoRR abs/2009.09230 (2020) - [i1]Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop. CoRR abs/2010.02506 (2020)
2010 – 2019
- 2019
- [c3]Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li:
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. KDD 2019: 207-215 - 2018
- [c2]Kunpeng Liu, Nitish M. Uplavikar, Wei Jiang, Yanjie Fu:
Privacy-Preserving Multi-task Learning. ICDM 2018: 1128-1133 - [c1]Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das:
Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. SDM 2018: 171-179
Coauthor Index
[j13] [j12] [c33] [c32] [c28] [i27] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [c26] [c24] [c23] [i19] [i17] [i16] [c21] [c20] [c19] [c18] [c17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j3] [j2] [j1] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i8] [i7] [i6] [i5] [i4] [c8] [c7] [c6] [c5] [c4] [i3] [i2] [i1] [c3] [c2] [c1]
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