Jianpeng Xu

According to our database, Jianpeng Xu authored at least 49 papers between 2009 and 2024.

Collaborative distances:

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

2024

Relation labeling in product knowledge graphs with large language models for e-commerce.

Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Int. J. Mach. Learn. Cybern., December, 2024

Guaranteed Capacity of Uplink URLLC.

Yaoyuan Zhang, Kwang-Cheng Chen, Gan Zheng, Xiaoli Chu, Jianpeng Xu

IEEE Wirel. Commun. Lett., August, 2024

Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing.

Jianpeng Xu, Bo Ai, Lina Wu, Yaoyuan Zhang, Weirong Wang, Huiya Li

IEEE Trans. Veh. Technol., July, 2024

Performance Analysis of NOMA-V2V Cooperative Systems with Outdated CSI and Imperfect SIC.

Xiaolin Liang, Xujing Shi, Wangbin Cao, Shuaiqi Liu, Jianpeng Xu, Xiongwen Zhao

Wirel. Pers. Commun., February, 2024

Deep Reinforcement Learning for RIS-Aided Secure Mobile Edge Computing in Industrial Internet of Things.

Jianpeng Xu, Aoshuo Xu, Liangyu Chen, Yali Chen, Xiaolin Liang, Bo Ai

IEEE Trans. Ind. Informatics, February, 2024

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.

Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2024

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.

Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.

Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Diagnosis of Autism Spectrum Disorder Based on Contrastive Functional Connectivity Graph Learning Network.

Shuaiqi Liu, Siqi Wang, Beibei Liang, Bing Li, Jianpeng Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

3rd International Workshop on Industrial Recommendation Systems (IRS).

Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis

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

2023

Deep Reinforcement Learning for RIS-Empowered High-Speed Railway Cell-Free Networks.

Jianpeng Xu, Chunyan Shan, Lina Wu, Qingshun Zhang, Shuaiqi Liu, Bo Ai

IEEE Wirel. Commun. Lett., December, 2023

Toward Interference Suppression: RIS-Aided High-Speed Railway Networks via Deep Reinforcement Learning.

Jianpeng Xu, Bo Ai, Tony Q. S. Quek

IEEE Trans. Wirel. Commun., June, 2023

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.

Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2023

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.

Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Data Mining, 2023

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.

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

Proceedings of the IEEE International Conference on Big Data, 2023

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.

Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.

Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

2022

When mmWave High-Speed Railway Networks Meet Reconfigurable Intelligent Surface: A Deep Reinforcement Learning Method.

Jianpeng Xu, Bo Ai

IEEE Wirel. Commun. Lett., 2022

Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks.

Jianpeng Xu, Bo Ai, Liangyu Chen, Yaping Cui, Ning Wang

IEEE Trans. Intell. Transp. Syst., 2022

Experience-Driven Power Allocation Using Multi-Agent Deep Reinforcement Learning for Millimeter-Wave High-Speed Railway Systems.

Jianpeng Xu, Bo Ai

IEEE Trans. Intell. Transp. Syst., 2022

Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks.

Jianpeng Xu, Bo Ai, Tony Q. S. Quek, Yupei Liu

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks.

Jianpeng Xu, Bo Ai, Liangyu Chen, Lina Wu

Proceedings of the IEEE International Conference on Communications, 2022

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.

Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Deep Reinforcement Learning for Handover-Aware MPTCP Congestion Control in Space-Ground Integrated Network of Railways.

Jianpeng Xu, Bo Ai

IEEE Wirel. Commun., 2021

Spatio-Temporal Multi-Task Learning via Tensor Decomposition.

Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo

IEEE Trans. Knowl. Data Eng., 2021

QoE-Aware Resource Allocation for Non-Orthogonal Multiple Access Enhanced HetNets.

Liangyu Chen, Bo Hu, Shanzhi Chen, Jianpeng Xu, Guixian Xu

IEEE Trans. Cogn. Commun. Netw., 2021

Handover-Aware Cross-Layer Aided TCP With Deep Reinforcement Learning for High-Speed Railway Networks.

Jianpeng Xu, Bo Ai, Lina Wu, Liangyu Chen

IEEE Netw. Lett., 2021

Artificial Intelligence Empowered Power Allocation for Smart Railway.

Jianpeng Xu, Bo Ai

IEEE Commun. Mag., 2021

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2nd International Workshop on Industrial Recommendation Systems (IRS).

Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Probabilistic Model Based Caching Strategy for Device-to-Device Communications.

Jianpeng Xu, Rong Chen, Mingzhi Xu, Ming Jiang, Xuming Lu

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.

Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

When High-Speed Railway Networks Meet Multipath TCP: Supporting Dependable Communications.

Jianpeng Xu, Bo Ai, Liangyu Chen, Li Pei, Yujian Li, Yul Yunazwin Nazaruddin

IEEE Wirel. Commun. Lett., 2020

GAN-based Recommendation with Positive-Unlabeled Sampling.

Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He

CoRR, 2020

Power Allocation for Millimeter-Wave Railway Systems with Multi-Agent Deep Reinforcement Learning.

Jianpeng Xu, Bo Ai, Yannan Sun, Yali Chen

Proceedings of the IEEE Global Communications Conference, 2020

Joint Beamforming and Power Allocation in Millimeter-Wave High-Speed Railway Systems.

Jianpeng Xu, Bo Ai, Liangyu Chen

Proceedings of the IEEE Global Communications Conference, 2020

2019

Cross-Layer Assisted TCP for Dependable Communications in High-Speed Railway Networks.

Jianpeng Xu, Bo Ai, Guowei Shi, Zhangdui Zhong, Selvi Lukman, Bagus Juliyanto

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

2018

MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling.

Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Online Multi-Task Learning Framework for Ensemble Forecasting.

Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo

IEEE Trans. Knowl. Data Eng., 2017

2016

一种基于聚类中心的快速聚类算法 (Fast Clustering Algorithm Based on Cluster-centers).

Luyang Zhou, Wenjie Cheng, Jianpeng Xu, Xiang Xu

计算机科学, 2016

GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction.

Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine.

Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-Task Feature Interaction Learning.

Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition.

Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models.

Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014

ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting.

Jianpeng Xu, Pang-Ning Tan, Lifeng Luo

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data.

Jianpeng Xu, Shufan Ji

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information.

Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci, Marco Mellia

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2009

Cloud Score for Feature Selection.

Guangwei Zhang, Jianpeng Xu, Fangchun Yang, Zhen Huang

Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009