Jianpeng Xu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Reinforcement Learning

Diffusion Models

Power Allocation

Top Venues

IEEE Wirel. Commun. Lett.

Publications

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Performance Analysis of NOMA-V2V Cooperative Systems with Outdated CSI and Imperfect SIC.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) (2024)
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)
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 (2024)
Jianpeng Xu, Bo Ai, Lina Wu, Yaoyuan Zhang, Weirong Wang, Huiya Li
Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing. IEEE Trans. Veh. Technol. 73 (7) (2024)
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 (2024)
Yaoyuan Zhang, Kwang-Cheng Chen, Gan Zheng, Xiaoli Chu, Jianpeng Xu
Guaranteed Capacity of Uplink URLLC. IEEE Wirel. Commun. Lett. 13 (8) (2024)
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. SIGIR (2024)
Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. WWW (Companion Volume) (2024)
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 (2024)
Jianpeng Xu, Aoshuo Xu, Liangyu Chen, Yali Chen, Xiaolin Liang, Bo Ai
Deep Reinforcement Learning for RIS-Aided Secure Mobile Edge Computing in Industrial Internet of Things. IEEE Trans. Ind. Informatics 20 (2) (2024)
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 (2023)
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 (2023)
Jianpeng Xu, Bo Ai, Tony Q. S. Quek
Toward Interference Suppression: RIS-Aided High-Speed Railway Networks via Deep Reinforcement Learning. IEEE Trans. Wirel. Commun. 22 (6) (2023)
Jianpeng Xu, Chunyan Shan, Lina Wu, Qingshun Zhang, Shuaiqi Liu, Bo Ai
Deep Reinforcement Learning for RIS-Empowered High-Speed Railway Cell-Free Networks. IEEE Wirel. Commun. Lett. 12 (12) (2023)
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)
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 (2023)
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. BigData (2023)
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. BigData (2023)
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 (2023)
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)
Jianpeng Xu, Bo Ai, Liangyu Chen, Yaping Cui, Ning Wang
Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
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 (2022)
Jianpeng Xu, Bo Ai
Experience-Driven Power Allocation Using Multi-Agent Deep Reinforcement Learning for Millimeter-Wave High-Speed Railway Systems. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Jianpeng Xu, Bo Ai
When mmWave High-Speed Railway Networks Meet Reconfigurable Intelligent Surface: A Deep Reinforcement Learning Method. IEEE Wirel. Commun. Lett. 11 (3) (2022)
Jianpeng Xu, Bo Ai, Liangyu Chen, Lina Wu
Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks. ICC (2022)
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. Big Data (2022)
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)
Jianpeng Xu, Rong Chen, Mingzhi Xu, Ming Jiang, Xuming Lu
Probabilistic Model Based Caching Strategy for Device-to-Device Communications. ICCC (2021)
Jianpeng Xu, Bo Ai, Lina Wu, Liangyu Chen
Handover-Aware Cross-Layer Aided TCP With Deep Reinforcement Learning for High-Speed Railway Networks. IEEE Netw. Lett. 3 (1) (2021)
Jianpeng Xu, Bo Ai
Artificial Intelligence Empowered Power Allocation for Smart Railway. IEEE Commun. Mag. 59 (2) (2021)
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)
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) (2021)
Liangyu Chen, Bo Hu, Shanzhi Chen, Jianpeng Xu, Guixian Xu
QoE-Aware Resource Allocation for Non-Orthogonal Multiple Access Enhanced HetNets. IEEE Trans. Cogn. Commun. Netw. 7 (4) (2021)
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
Spatio-Temporal Multi-Task Learning via Tensor Decomposition. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. KDD (2021)
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)
Jianpeng Xu, Bo Ai, Yannan Sun, Yali Chen
Power Allocation for Millimeter-Wave Railway Systems with Multi-Agent Deep Reinforcement Learning. GLOBECOM (2020)
Jianpeng Xu, Bo Ai, Liangyu Chen
Joint Beamforming and Power Allocation in Millimeter-Wave High-Speed Railway Systems. GLOBECOM (2020)
Jianpeng Xu, Bo Ai, Liangyu Chen, Li Pei, Yujian Li, Yul Yunazwin Nazaruddin
When High-Speed Railway Networks Meet Multipath TCP: Supporting Dependable Communications. IEEE Wirel. Commun. Lett. 9 (2) (2020)
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
GAN-based Recommendation with Positive-Unlabeled Sampling. CoRR (2020)
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)
Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. IJCAI (2018)
Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo
Online Multi-Task Learning Framework for Ensemble Forecasting. IEEE Trans. Knowl. Data Eng. 29 (6) (2017)
Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
Multi-Task Feature Interaction Learning. KDD (2016)
Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM (2016)
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition. IEEE BigData (2016)
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) (2016)
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. SDM (2016)
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. SDM (2015)
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. ICDM (2014)
Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci, Marco Mellia
Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information. ASONAM (2014)
Jianpeng Xu, Shufan Ji
HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data. ICDM Workshops (2014)
Guangwei Zhang, Jianpeng Xu, Fangchun Yang, Zhen Huang
Cloud Score for Feature Selection. FSKD (3) (2009)