Cloud Score for Feature Selection. - Guangwei Zhang; Jianpeng Xu; Fangchun Yang; Zhen Huang (FSKD (3), 2009)

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 (ASONAM, 2014)

HDminer: Efficient Mining of High Dimensional Frequent Closed Patterns from Dense Data. - Jianpeng Xu; Shufan Ji (ICDM Workshops, 2014)

ORION: Online Regularized Multi-task Regression and Its Application to Ensemble Forecasting. - Jianpeng Xu; Pang-Ning Tan; Lifeng Luo (ICDM, 2014)

FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. - Jianpeng Xu; Jiayu Zhou; Pang-Ning Tan (SDM, 2015)

WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition. - Jianpeng Xu; Jiayu Zhou; Pang-Ning Tan; Xi Liu; Lifeng Luo (IEEE BigData, 2016)

Multi-Task Feature Interaction Learning. - Kaixiang Lin; Jianpeng Xu; Inci M. Baytas; Shuiwang Ji; Jiayu Zhou (KDD, 2016)

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. - Jianpeng Xu; Kaixiang Lin; Pang-Ning Tan; Jiayu Zhou (SDM, 2016)

GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. - Jianpeng Xu; Pang-Ning Tan; Lifeng Luo; Jiayu Zhou (SDM, 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)

Online Multi-Task Learning Framework for Ensemble Forecasting. - Jianpeng Xu; Pang-Ning Tan; Jiayu Zhou; Lifeng Luo (IEEE Trans. Knowl. Data Eng., 2017)

MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. - Jianpeng Xu; Xi Liu; Tyler Wilson; Pang-Ning Tan; Pouyan Hatami; Lifeng Luo (IJCAI, 2018)

Cross-Layer Assisted TCP for Dependable Communications in High-Speed Railway Networks. - Jianpeng Xu; Bo Ai 001; Guowei Shi; Zhangdui Zhong; Selvi Lukman; Bagus Juliyanto (WCSP, 2019)

Joint Beamforming and Power Allocation in Millimeter-Wave High-Speed Railway Systems. - Jianpeng Xu; Bo Ai 001; Liangyu Chen 007 (GLOBECOM, 2020)

Power Allocation for Millimeter-Wave Railway Systems with Multi-Agent Deep Reinforcement Learning. - Jianpeng Xu; Bo Ai 001; Yannan Sun; Yali Chen (GLOBECOM, 2020)

GAN-based Recommendation with Positive-Unlabeled Sampling. - Yao Zhou; Jianpeng Xu; Jun Wu 019; Zeinab Taghavi Nasrabadi; Evren Körpeoglu; Kannan Achan; Jingrui He (CoRR, 2020)

When High-Speed Railway Networks Meet Multipath TCP: Supporting Dependable Communications. - Jianpeng Xu; Bo Ai 001; Liangyu Chen 007; Li Pei; Yujian Li; Yul Yunazwin Nazaruddin (IEEE Wirel. Commun. Lett., 2020)

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 (IEEE BigData, 2021)

Probabilistic Model Based Caching Strategy for Device-to-Device Communications. - Jianpeng Xu; Rong Chen; Mingzhi Xu; Ming Jiang 002; Xuming Lu (ICCC, 2021)

2nd International Workshop on Industrial Recommendation Systems (IRS). - Jianpeng Xu; Lingfei Wu 001; Xiaolin Pang 001; Mohit Sharma 002; Dawei Yin; George Karypis; Justin Basilico; Philip S. Yu (KDD, 2021)

PURE: Positive-Unlabeled Recommendation with Generative Adversarial Network. - Yao Zhou; Jianpeng Xu; Jun Wu 019; Zeinab Taghavi Nasrabadi; Evren Körpeoglu; Kannan Achan; Jingrui He (KDD, 2021)

Artificial Intelligence Empowered Power Allocation for Smart Railway. - Jianpeng Xu; Bo Ai 001 (IEEE Commun. Mag., 2021)

Handover-Aware Cross-Layer Aided TCP With Deep Reinforcement Learning for High-Speed Railway Networks. - Jianpeng Xu; Bo Ai 001; Lina Wu; Liangyu Chen 007 (IEEE Netw. Lett., 2021)

QoE-Aware Resource Allocation for Non-Orthogonal Multiple Access Enhanced HetNets. - Liangyu Chen 007; Bo Hu 003; Shanzhi Chen; Jianpeng Xu; Guixian Xu (IEEE Trans. Cogn. Commun. Netw., 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)

Deep Reinforcement Learning for Handover-Aware MPTCP Congestion Control in Space-Ground Integrated Network of Railways. - Jianpeng Xu; Bo Ai 001 (IEEE Wirel. Commun., 2021)

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 (IEEE Big Data, 2022)

Deep Reinforcement Learning for Communication and Computing Resource Allocation in RIS Aided MEC Networks. - Jianpeng Xu; Bo Ai 001; Liangyu Chen 007; Lina Wu (ICC, 2022)

Deep Reinforcement Learning for Interference Suppression in RIS-Aided High-Speed Railway Networks. - Jianpeng Xu; Bo Ai 001; Tony Q. S. Quek; Yupei Liu (ICC Workshops, 2022)

Experience-Driven Power Allocation Using Multi-Agent Deep Reinforcement Learning for Millimeter-Wave High-Speed Railway Systems. - Jianpeng Xu; Bo Ai 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks. - Jianpeng Xu; Bo Ai 001; Liangyu Chen 007; Yaping Cui; Ning Wang 004 (IEEE Trans. Intell. Transp. Syst., 2022)

When mmWave High-Speed Railway Networks Meet Reconfigurable Intelligent Surface: A Deep Reinforcement Learning Method. - Jianpeng Xu; Bo Ai 001 (IEEE Wirel. Commun. Lett., 2022)

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 (IEEE Big Data, 2023)

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. - Luyi Ma; Nikhil Thakurdesai; Jiao Chen 005; Jianpeng Xu; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 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 (IEEE Big Data, 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 (ICDM (Workshops), 2023)

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Nikhil Thakurdesai; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2023)

Toward Interference Suppression: RIS-Aided High-Speed Railway Networks via Deep Reinforcement Learning. - Jianpeng Xu; Bo Ai 001; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2023)

Deep Reinforcement Learning for RIS-Empowered High-Speed Railway Cell-Free Networks. - Jianpeng Xu; Chunyan Shan; Lina Wu; Qingshun Zhang; Shuaiqi Liu 001; Bo Ai 001 (IEEE Wirel. Commun. Lett., 2023)

3rd International Workshop on Industrial Recommendation Systems (IRS). - Luyi Ma; Xiaohan Li 001; Kamilia Ahmadi; Jianpeng Xu; Philip S. Yu; George Karypis (CIKM, 2024)

Diagnosis of Autism Spectrum Disorder Based on Contrastive Functional Connectivity Graph Learning Network. - Shuaiqi Liu; Siqi Wang; Beibei Liang; Bing Li; Jianpeng Xu (ICASSP, 2024)

LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. - Chenhao Fang; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (SIGIR, 2024)

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding. - Zezhong Fan; Xiaohan Li 001; Kaushiki Nag; Chenhao Fang; Topojoy Biswas; Jianpeng Xu; Kannan Achan (WWW (Companion Volume), 2024)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations. - Luyi Ma; Xiaohan Li 001; Zezhong Fan; Jianpeng Xu; Jason H. D. Cho; Praveenkumar Kanumala; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2024)

Deep Reinforcement Learning for RIS-Aided Secure Mobile Edge Computing in Industrial Internet of Things. - Jianpeng Xu; Aoshuo Xu; Liangyu Chen 007; Yali Chen; Xiaolin Liang; Bo Ai 001 (IEEE Trans. Ind. Informatics, 2024)

Performance Analysis of NOMA-V2V Cooperative Systems with Outdated CSI and Imperfect SIC. - Xiaolin Liang; Xujing Shi; Wangbin Cao; Shuaiqi Liu 001; Jianpeng Xu; Xiongwen Zhao (Wirel. Pers. Commun., 2024)

Deep Reinforcement Learning for Computation Rate Maximization in RIS-Enabled Mobile Edge Computing. - Jianpeng Xu; Bo Ai 001; Lina Wu; Yaoyuan Zhang; Weirong Wang; Huiya Li (IEEE Trans. Veh. Technol., 2024)

Guaranteed Capacity of Uplink URLLC. - Yaoyuan Zhang; Kwang-Cheng Chen; Gan Zheng; Xiaoli Chu; Jianpeng Xu (IEEE Wirel. Commun. Lett., 2024)

Relation labeling in product knowledge graphs with large language models for e-commerce. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (Int. J. Mach. Learn. Cybern., 2024)

ROSI: A hybrid solution for omni-channel feature integration in E-commerce. - Luyi Ma; Shengwei Tang; Anjana Ganesh; Jiao Chen 005; Aashika Padmanabhan; Malay Patel; Jianpeng Xu; Jason Cho 001; Evren Körpeoglu; Sushant Kumar; Kannan Achan (Data Knowl. Eng., 2025)

CARTS: Collaborative Agents for Recommendation Textual Summarization. - Jiao Chen 005; Kehui Yao; Reza Yousefi Maragheh; Kai Zhao; Jianpeng Xu; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2025)

ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation. - Reza Yousefi Maragheh; Pratheek Vadla; Priyank Gupta; Kai Zhao; Aysenur Inan; Kehui Yao; Jianpeng Xu; Praveenkumar Kanumala; Jason H. D. Cho; Sushant Kumar (CoRR, 2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. - Luyi Ma; Wanjia Zhang; Kai Zhao; Abhishek Kulkarni; Lalitesh Morishetti; Anjana Ganesh; Ashish Ranjan; Aashika Padmanabhan; Jianpeng Xu; Jason Cho 001; Praveenkumar Kanumala; Kaushiki Nag; et al. (CoRR, 2025)

VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings. - Ramin Giahi; Kehui Yao; Sriram Kollipara; Kai Zhao; Vahid Mirjalili; Jianpeng Xu; Topojoy Biswas; Evren Körpeoglu; Kannan Achan (CoRR, 2025)