Jianpeng Xu

67 papers A* 7A 6B 7C 1Misc 1Journal 36Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
WWW
Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2026 J jnl
Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction.
CoRR
Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Körpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan
2025 J jnl
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation.
CoRR
Reza Yousefi Maragheh, Pratheek Vadla, Priyank Gupta, Kai Zhao, Aysenur Inan, Kehui Yao, Jianpeng Xu, Praveenkumar Kanumala, Jason H. D. Cho, Sushant Kumar
2025 J jnl
CARTS: Collaborative Agents for Recommendation Textual Summarization.
CoRR
Jiao Chen, Kehui Yao, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 A conf
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
RecSys
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization.
CoRR
Luyi Ma, Wanjia Zhang, Kai Zhao, Abhishek Kulkarni, Lalitesh Morishetti, Anjana Ganesh, Ashish Ranjan, Aashika Padmanabhan, Jianpeng Xu, Jason Cho, Praveenkumar Kanumala, Kaushiki Nag, Sumit Dutta, Kamiya Motwani, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
No-Human in the Loop: Agentic Evaluation at Scale for Recommendation.
CoRR
Tao Zhang, Kehui Yao, Luyi Ma, Jiao Chen, Reza Yousefi Maragheh, Kai Zhao, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
ROSI: A hybrid solution for omni-channel feature integration in E-commerce.
Data Knowl. Eng.
Luyi Ma, Shengwei Tang, Anjana Ganesh, Jiao Chen, Aashika Padmanabhan, Malay Patel, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2025 J jnl
Spatial Reasoning in Foundation Models: Benchmarking Object-Centric Spatial Understanding.
CoRR
Vahid Mirjalili, Ramin Giahi, Sriram Kollipara, Akshay Kekuda, Kehui Yao, Kai Zhao, Jianpeng Xu, Kaushiki Nag, Sinduja Subramaniam, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2025 A conf
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings.
RecSys
Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2025 J jnl
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings.
CoRR
Ramin Giahi, Kehui Yao, Sriram Kollipara, Kai Zhao, Vahid Mirjalili, Jianpeng Xu, Topojoy Biswas, Evren Körpeoglu, Kannan Achan
2024 A conf
3rd International Workshop on Industrial Recommendation Systems (IRS).
CIKM
Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis
2024 J jnl
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.
CoRR
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
2024 J jnl
Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing.
IEEE Trans. Veh. Technol.
Jianpeng Xu, Bo Ai, Lina Wu, Yaoyuan Zhang, Weirong Wang, Huiya Li
2024 J jnl
Deep Reinforcement Learning for RIS-Aided Secure Mobile Edge Computing in Industrial Internet of Things.
IEEE Trans. Ind. Informatics
Jianpeng Xu, Aoshuo Xu, Liangyu Chen, Yali Chen, Xiaolin Liang, Bo Ai
2024 Misc conf
Diagnosis of Autism Spectrum Disorder Based on Contrastive Functional Connectivity Graph Learning Network.
ICASSP
Shuaiqi Liu, Siqi Wang, Beibei Liang, Bing Li, Jianpeng Xu
2024 J jnl
Guaranteed Capacity of Uplink URLLC.
IEEE Wirel. Commun. Lett.
Yaoyuan Zhang, Kwang-Cheng Chen, Gan Zheng, Xiaoli Chu, Jianpeng Xu
2024 A* conf
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
SIGIR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction.
CoRR
Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
Performance Analysis of NOMA-V2V Cooperative Systems with Outdated CSI and Imperfect SIC.
Wirel. Pers. Commun.
Xiaolin Liang, Xujing Shi, Wangbin Cao, Shuaiqi Liu, Jianpeng Xu, Xiongwen Zhao
2024 — conf
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.
WWW (Companion Volume)
Zezhong Fan, Xiaohan Li, Kaushiki Nag, Chenhao Fang, Topojoy Biswas, Jianpeng Xu, Kannan Achan
2024 J jnl
Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding.
CoRR
Zezhong Fan, Xiaohan Li, Chenhao Fang, Topojoy Biswas, Kaushiki Nag, Jianpeng Xu, Kannan Achan
2024 J jnl
Relation labeling in product knowledge graphs with large language models for e-commerce.
Int. J. Mach. Learn. Cybern.
Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2024 J jnl
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.
CoRR
Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan
2023 B conf
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs.
IEEE Big Data
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan
2023 J jnl
Deep Reinforcement Learning for RIS-Empowered High-Speed Railway Cell-Free Networks.
IEEE Wirel. Commun. Lett.
Jianpeng Xu, Chunyan Shan, Lina Wu, Qingshun Zhang, Shuaiqi Liu, Bo Ai
2023 — conf
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
ICDM (Workshops)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.
CoRR
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.
CoRR
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models.
CoRR
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
2023 B conf
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.
IEEE Big Data
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
2023 B conf
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
IEEE Big Data
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing.
CoRR
Luyi Ma, Nikhil Thakurdesai, Jiao Chen, Jianpeng Xu, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2023 J jnl
Toward Interference Suppression: RIS-Aided High-Speed Railway Networks via Deep Reinforcement Learning.
IEEE Trans. Wirel. Commun.
Jianpeng Xu, Bo Ai, Tony Q. S. Quek
2022 — conf
Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks.
ICC
Jianpeng Xu, Bo Ai, Liangyu Chen, Lina Wu
2022 J jnl
Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks.
IEEE Trans. Intell. Transp. Syst.
Jianpeng Xu, Bo Ai, Liangyu Chen, Yaping Cui, Ning Wang
2022 — conf
Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks.
ICC Workshops
Jianpeng Xu, Bo Ai, Tony Q. S. Quek, Yupei Liu
2022 J jnl
Experience-Driven Power Allocation Using Multi-Agent Deep Reinforcement Learning for Millimeter-Wave High-Speed Railway Systems.
IEEE Trans. Intell. Transp. Syst.
Jianpeng Xu, Bo Ai
2022 J jnl
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
CoRR
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022 B conf
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.
IEEE Big Data
Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2022 J jnl
When mmWave High-Speed Railway Networks Meet Reconfigurable Intelligent Surface: A Deep Reinforcement Learning Method.
IEEE Wirel. Commun. Lett.
Jianpeng Xu, Bo Ai
2021 A* conf
2nd International Workshop on Industrial Recommendation Systems (IRS).
KDD
Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu
2021 J jnl
Artificial Intelligence Empowered Power Allocation for Smart Railway.
IEEE Commun. Mag.
Jianpeng Xu, Bo Ai
2021 J jnl
Deep Reinforcement Learning for Handover-Aware MPTCP Congestion Control in Space-Ground Integrated Network of Railways.
IEEE Wirel. Commun.
Jianpeng Xu, Bo Ai
2021 J jnl
Handover-Aware Cross-Layer Aided TCP With Deep Reinforcement Learning for High-Speed Railway Networks.
IEEE Netw. Lett.
Jianpeng Xu, Bo Ai, Lina Wu, Liangyu Chen
2021 — conf
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.
IEEE BigData
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
2021 A* conf
PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network.
KDD
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2021 C conf
Probabilistic Model Based Caching Strategy for Device-to-Device Communications.
ICCC
Jianpeng Xu, Rong Chen, Mingzhi Xu, Ming Jiang, Xuming Lu
2021 J jnl
QoE-Aware Resource Allocation for Non-Orthogonal Multiple Access Enhanced HetNets.
IEEE Trans. Cogn. Commun. Netw.
Liangyu Chen, Bo Hu, Shanzhi Chen, Jianpeng Xu, Guixian Xu
2021 J jnl
Spatio-Temporal Multi-Task Learning via Tensor Decomposition.
IEEE Trans. Knowl. Data Eng.
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
2020 J jnl
GAN-based Recommendation with Positive-Unlabeled Sampling.
CoRR
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Körpeoglu, Kannan Achan, Jingrui He
2020 B conf
Joint Beamforming and Power Allocation in Millimeter-Wave High-Speed Railway Systems.
GLOBECOM
Jianpeng Xu, Bo Ai, Liangyu Chen
2020 B conf
Power Allocation for Millimeter-Wave Railway Systems with Multi-Agent Deep Reinforcement Learning.
GLOBECOM
Jianpeng Xu, Bo Ai, Yannan Sun, Yali Chen
2020 J jnl
When High-Speed Railway Networks Meet Multipath TCP: Supporting Dependable Communications.
IEEE Wirel. Commun. Lett.
Jianpeng Xu, Bo Ai, Liangyu Chen, Li Pei, Yujian Li, Yul Yunazwin Nazaruddin
2019 — conf
Cross-Layer Assisted TCP for Dependable Communications in High-Speed Railway Networks.
WCSP
Jianpeng Xu, Bo Ai, Guowei Shi, Zhangdui Zhong, Selvi Lukman, Bagus Juliyanto
2018 A* conf
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling.
IJCAI
Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo
2017 J jnl
Online Multi-Task Learning Framework for Ensemble Forecasting.
IEEE Trans. Knowl. Data Eng.
Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo
2016 A conf
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction.
SDM
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou
2016 A* conf
Multi-Task Feature Interaction Learning.
KDD
Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou
2016 A conf
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine.
SDM
Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
2016 — conf
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition.
IEEE BigData
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo
2016 J jnl
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
Luyang Zhou, Wenjie Cheng, Jianpeng Xu, Xiang Xu
2015 A conf
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models.
SDM
Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan
2014 B conf
Detecting malicious clients in ISP networks using HTTP connectivity graph and flow information.
ASONAM
Lei Liu, Sabyasachi Saha, Ruben Torres, Jianpeng Xu, Pang-Ning Tan, Antonio Nucci, Marco Mellia
2014 — conf
HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data.
ICDM Workshops
Jianpeng Xu, Shufan Ji
2014 A* conf
ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting.
ICDM
Jianpeng Xu, Pang-Ning Tan, Lifeng Luo
2009 — conf
Cloud Score for Feature Selection.
FSKD (3)
Guangwei Zhang, Jianpeng Xu, Fangchun Yang, Zhen Huang