default search action
Kunpeng 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 — Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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 - [i26]Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu:
TFWT: Tabular Feature Weighting with Transformer. CoRR abs/2405.08403 (2024) - [i25]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) - [i24]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) - [i23]Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. CoRR abs/2406.03505 (2024) - [i22]Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu:
Prototypical Reward Network for Data-Efficient RLHF. CoRR abs/2406.06606 (2024) - [i21]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) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 20:40 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint