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Jianpeng Xu
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2020 – today
- 2024
- [j17]Jianpeng Xu
, Aoshuo Xu
Deep Reinforcement Learning for RIS-Aided Secure Mobile Edge Computing in Industrial Internet of Things. IEEE Trans. Ind. Informatics 20(2): 2455-2464 (2024) - [j16]Jianpeng Xu
Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing. IEEE Trans. Veh. Technol. 73(7): 10862-10866 (2024) - [j15]Yaoyuan Zhang
Guaranteed Capacity of Uplink URLLC. IEEE Wirel. Commun. Lett. 13(8): 2055-2059 (2024) - [j14]Xiaolin Liang, Xujing Shi, Wangbin Cao, Shuaiqi Liu, Jianpeng Xu, Xiongwen Zhao:
Performance Analysis of NOMA-V2V Cooperative Systems with Outdated CSI and Imperfect SIC. Wirel. Pers. Commun. 134(4): 2159-2181 (2024) - [c27]Shuaiqi Liu, Siqi Wang, Beibei Liang, Bing Li, Jianpeng Xu:
Diagnosis of Autism Spectrum Disorder Based on Contrastive Functional Connectivity Graph Learning Network. ICASSP 2024: 12991-12995 - [c26]Chenhao Fang
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR 2024: 2910-2914 - [c25]Zezhong Fan
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. WWW (Companion Volume) 2024: 1530-1537 - [i9]Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan:
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. CoRR abs/2402.05941 (2024) - [i8]Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR abs/2403.00863 (2024) - [i7]Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan:
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. CoRR abs/2404.11589 (2024) - 2023
- [j13]Jianpeng Xu
Toward Interference Suppression: RIS-Aided High-Speed Railway Networks via Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 22(6): 4188-4201 (2023) - [j12]Jianpeng Xu
Deep Reinforcement Learning for RIS-Empowered High-Speed Railway Cell-Free Networks. IEEE Wirel. Commun. Lett. 12(12): 2078-2082 (2023) - [c24]Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan:
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. IEEE Big Data 2023: 1-7 - [c23]Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. IEEE Big Data 2023: 3144-3148 - [c22]Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. IEEE Big Data 2023: 4318-4324 - [c21]Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. ICDM (Workshops) 2023: 1484-1492 - [i6]Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR abs/2305.09858 (2023) - [i5]Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. CoRR abs/2310.17732 (2023) - [i4]Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models. CoRR abs/2312.00909 (2023) - [i3]Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. CoRR abs/2312.16351 (2023) - 2022
- [j11]Jianpeng Xu
Experience-Driven Power Allocation Using Multi-Agent Deep Reinforcement Learning for Millimeter-Wave High-Speed Railway Systems. IEEE Trans. Intell. Transp. Syst. 23(6): 5490-5500 (2022) - [j10]Jianpeng Xu
Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks. IEEE Trans. Intell. Transp. Syst. 23(12): 23797-23808 (2022) - [j9]Jianpeng Xu
When mmWave High-Speed Railway Networks Meet Reconfigurable Intelligent Surface: A Deep Reinforcement Learning Method. IEEE Wirel. Commun. Lett. 11(3): 533-537 (2022) - [c20]Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. IEEE Big Data 2022: 3945-3951 - [c19]Jianpeng Xu, Bo Ai, Tony Q. S. Quek, Yupei Liu:
Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks. ICC Workshops 2022: 337-342 - [c18]Jianpeng Xu, Bo Ai, Liangyu Chen, Lina Wu:
Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks. ICC 2022: 3184-3189 - [i2]Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. CoRR abs/2202.05456 (2022) - 2021
- [j8]Jianpeng Xu, Bo Ai:
Artificial Intelligence Empowered Power Allocation for Smart Railway. IEEE Commun. Mag. 59(2): 28-33 (2021) - [j7]Jianpeng Xu
Handover-Aware Cross-Layer Aided TCP With Deep Reinforcement Learning for High-Speed Railway Networks. IEEE Netw. Lett. 3(1): 31-35 (2021) - [j6]Liangyu Chen
QoE-Aware Resource Allocation for Non-Orthogonal Multiple Access Enhanced HetNets. IEEE Trans. Cogn. Commun. Netw. 7(4): 1363-1381 (2021) - [j5]Jianpeng Xu
Spatio-Temporal Multi-Task Learning via Tensor Decomposition. IEEE Trans. Knowl. Data Eng. 33(6): 2764-2775 (2021) - [j4]Jianpeng Xu, Bo Ai:
Deep Reinforcement Learning for Handover-Aware MPTCP Congestion Control in Space-Ground Integrated Network of Railways. IEEE Wirel. Commun. 28(6): 200-207 (2021) - [c17]Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. IEEE BigData 2021: 469-479 - [c16]Jianpeng Xu, Rong Chen, Mingzhi Xu, Ming Jiang, Xuming Lu:
Probabilistic Model Based Caching Strategy for Device-to-Device Communications. ICCC 2021: 1001-1005 - [c15]Yao Zhou, Jianpeng Xu, Jun Wu
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. KDD 2021: 2409-2419 - [c14]Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu:
2nd International Workshop on Industrial Recommendation Systems (IRS). KDD 2021: 4173-4174 - 2020
- [j3]Jianpeng Xu
When High-Speed Railway Networks Meet Multipath TCP: Supporting Dependable Communications. IEEE Wirel. Commun. Lett. 9(2): 202-205 (2020) - [c13]Jianpeng Xu, Bo Ai, Liangyu Chen:
Joint Beamforming and Power Allocation in Millimeter-Wave High-Speed Railway Systems. GLOBECOM 2020: 1-6 - [c12]Jianpeng Xu, Bo Ai, Yannan Sun, Yali Chen:
Power Allocation for Millimeter-Wave Railway Systems with Multi-Agent Deep Reinforcement Learning. GLOBECOM 2020: 1-6 - [i1]Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He:
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR abs/2012.06901 (2020)
2010 – 2019
- 2019
- [c11]Jianpeng Xu, Bo Ai, Guowei Shi, Zhangdui Zhong, Selvi Lukman, Bagus Juliyanto:
Cross-Layer Assisted TCP for Dependable Communications in High-Speed Railway Networks. WCSP 2019: 1-6 - 2018
- [c10]Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. IJCAI 2018: 2912-2918 - 2017
- [j2]Jianpeng Xu, Pang-Ning Tan
Online Multi-Task Learning Framework for Ensemble Forecasting. IEEE Trans. Knowl. Data Eng. 29(6): 1268-1280 (2017) - 2016
- [j1]Luyang Zhou, Wenjie Cheng, Jianpeng Xu, Xiang Xu:
一种基于聚类中心的快速聚类算法 (Fast Clustering Algorithm Based on Cluster-centers). 计算机科学 43(Z6): 454-456 (2016) - [c9]Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition. IEEE BigData 2016: 522-531 - [c8]Kaixiang Lin, Jianpeng Xu, Inci M. Baytas
Multi-Task Feature Interaction Learning. KDD 2016: 1735-1744 - [c7]Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou:
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM 2016: 108-116 - [c6]Jianpeng Xu, Pang-Ning Tan, Lifeng Luo
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. SDM 2016: 657-665 - 2015
- [c5]Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan:
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. SDM 2015: 496-504 - 2014
- [c4]Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan
Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information. ASONAM 2014: 150-157 - [c3]Jianpeng Xu, Shufan Ji:
HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data. ICDM Workshops 2014: 1061-1067 - [c2]Jianpeng Xu, Pang-Ning Tan
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. ICDM 2014: 1061-1066
2000 – 2009
- 2009
- [c1]Guangwei Zhang, Jianpeng Xu, Fangchun Yang, Zhen Huang:
Cloud Score for Feature Selection. FSKD (3) 2009: 257-261
Coauthor Index
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last updated on 2024-09-10 01:14 CEST by the dblp team
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