Xia Ning

143 papers A* 8A 7B 4C 2Misc 2Journal 87Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
How to describe spatiotemporal patterns of moving objects: a new classification framework.
Int. J. Geogr. Inf. Sci.
Jianbo Tang, Min Deng, Ju Peng, Zhiyuan Hu, Xingxiang Jiang, Jianbing Xiang, Xia Ning, Wenzhe Zhao
2025 J jnl
A two-stage method for detecting trajectory clusters of different densities with peak trajectories identification.
Int. J. Geogr. Inf. Sci.
Ju Peng, Jianbo Tang, Min Deng, Zhiyuan Hu, Jianbing Xiang, Xia Ning, Wenzhe Zhao
2025 J jnl
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models.
CoRR
Jiachen Jiang, Jinxin Zhou, Bo Peng, Xia Ning, Zhihui Zhu
2025 A* conf
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists.
EMNLP
Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun
2025 J jnl
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists.
CoRR
Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun
2025 — conf
Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data.
IJCNLP-AACL (long papers)
Xinyi Ling, Hanwen Du, Bo Peng, Zhihui Zhu, Xia Ning
2025 J jnl
DiffER: Categorical Diffusion for Chemical Retrosynthesis.
CoRR
Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy
2025 J jnl
Discovering spatiotemporal patterns of human outdoor activities with crowdsourced trajectory data.
Geo spatial Inf. Sci.
Ju Peng, Jianbo Tang, Min Deng, Huimin Liu, Zhiyuan Hu, Xingxiang Jiang, Jianbing Xiang, Xia Ning, Wenzhe Zhao
2025 J jnl
EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-Commerce Models.
CoRR
Xinyi Ling, Hanwen Du, Zhihui Zhu, Xia Ning
2025 — conf
EcomMMMU: Strategic Utilization of Visuals for Robust Multimodal E-commerce Models.
IJCNLP-AACL (long papers)
Xinyi Ling, Hanwen Du, Zhihui Zhu, Xia Ning
2025 — conf
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework.
NAACL (Long Papers)
Reza Averly, Xia Ning
2025 — conf
Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression Prediction.
AMAI@MICCAI
Benjamin Burns, Yuan Xue, Douglas W. Scharre, Xia Ning
2025 J jnl
Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression Prediction.
CoRR
Benjamin Burns, Yuan Xue, Douglas W. Scharre, Xia Ning
2025 J jnl
GeLLM
CoRR
Vishal Dey, Xiao Hu, Xia Ning
2025 J jnl
Generating 3D Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance.
CoRR
Ziqi Chen, Bo Peng, Tianhua Zhai, Daniel Adu-Ampratwum, Xia Ning
2025 J jnl
LARC: Towards Human-level Constrained Retrosynthesis Planning through an Agentic Framework.
CoRR
Frazier N. Baker, Daniel Adu-Ampratwum, Reza Averly, Botao Yu, Huan Sun, Xia Ning
2025 A* conf
LIDDIA: Language-based Intelligent Drug Discovery Agent.
EMNLP
Reza Averly, Frazier N. Baker, Ian A. Watson, Xia Ning
2025 J jnl
LIDDIA: Language-based Intelligent Drug Discovery Agent.
CoRR
Reza Averly, Frazier N. Baker, Xia Ning
2025 — conf
Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization.
EMNLP (Findings)
Vishal Dey, Xiao Hu, Xia Ning
2025 J jnl
Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization.
CoRR
Vishal Dey, Xiao Hu, Xia Ning
2025 J jnl
Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in its Latent Thoughts.
CoRR
Hanwen Du, Yuxin Dong, Xia Ning
2025 J jnl
Multi-modality meets re-learning: mitigating negative transfer in sequential recommendation.
Knowl. Based Syst.
Bo Peng, Hanwen Du, Srinivasan Parthasarathy, Xia Ning
2025 — conf
Planning with Diffusion Models for Target-Oriented Dialogue Systems.
ACL (1)
Hanwen Du, Bo Peng, Xia Ning
2025 J jnl
Planning with Diffusion Models for Target-Oriented Dialogue Systems.
CoRR
Hanwen Du, Bo Peng, Xia Ning
2025 — conf
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search.
NAACL (Long Papers)
Hanwen Du, Bo Peng, Xia Ning
2025 A* conf
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.
ICLR
Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun
2025 J jnl
Three-Dimensional Outdoor Pedestrian Road Network Map Construction Based on Crowdsourced Trajectory Data.
ISPRS Int. J. Geo Inf.
Jianbo Tang, Tianyu Zhang, Junjie Ding, Ke Tao, Chen Yang, Jianbing Xiang, Xia Ning
2025 — conf
Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving.
NAACL (Findings)
Botao Yu, Frazier N. Baker, Ziru Chen, Garrett Herb, Boyu Gou, Daniel Adu-Ampratwum, Xia Ning, Huan Sun
2025 J jnl
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations.
CoRR
Yuxin Dong, Jiachen Jiang, Zhihui Zhu, Xia Ning
2025 J jnl
Using a statewide health information exchange to enhance COVID research and surveillance: The impact of information fragmentation.
Int. J. Medical Informatics
Katie S. Allen, Seho Park, John Price, Xia Ning, Titus Schleyer
2025 — conf
\mathttGeLLM³O: Generalizing Large Language Models for Multi-property Molecule Optimization.
ACL (1)
Vishal Dey, Xiao Hu, Xia Ning
2025 J jnl
log-RRIM: Yield Prediction via Local-to-Global Reaction Representation Learning and Interaction Modeling.
J. Chem. Inf. Model.
Xiao Hu, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning
2025 J jnl
tt DiffER: categorical diffusion ensembles for single-step chemical retrosynthesis.
J. Cheminformatics
Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy
2024 J jnl
Captions Speak Louder than Images (CASLIE): Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data.
CoRR
Xinyi Ling, Bo Peng, Hanwen Du, Zhihui Zhu, Xia Ning
2024 J jnl
Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation.
CoRR
Vishal Dey, Xia Ning
2024 J jnl
Enhancing molecular property prediction with auxiliary learning and task-specific adaptation.
J. Cheminformatics
Vishal Dey, Xia Ning
2024 J jnl
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework.
CoRR
Reza Averly, Xia Ning
2024 J jnl
Improving Anticancer Drug Selection and Prioritization via Neural Learning to Rank.
J. Chem. Inf. Model.
Vishal Dey, Xia Ning
2024 J jnl
Intention enhanced mixed attentive model for session-based recommendation.
Data Min. Knowl. Discov.
Bo Peng, Srinivasan Parthasarathy, Xia Ning
2024 J jnl
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.
CoRR
Botao Yu, Frazier N. Baker, Ziqi Chen, Xia Ning, Huan Sun
2024 J jnl
Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation.
ACM Trans. Knowl. Discov. Data
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2024 J jnl
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion.
J. Chem. Inf. Model.
Frazier N. Baker, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning
2024 J jnl
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search.
CoRR
Hanwen Du, Bo Peng, Xia Ning
2024 J jnl
SAR-CDSS: A Semi-Supervised Cross-Domain Object Detection from Optical to SAR Domain.
Remote. Sens.
Cheng Luo, Yueting Zhang, Jiayi Guo, Yuxin Hu, Guangyao Zhou, Hongjian You, Xia Ning
2024 J jnl
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery.
CoRR
Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun
2024 J jnl
Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving.
CoRR
Botao Yu, Frazier N. Baker, Ziru Chen, Garrett Herb, Boyu Gou, Daniel Adu-Ampratwum, Xia Ning, Huan Sun
2024 — conf
When to Use Demographic Data in Healthcare Models: A Bias-Responsible Approach.
CAI
Sebrina Zeleke, Tanya Y. Berger-Wolf, Xia Ning
2024 A* conf
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.
ICML
Bo Peng, Xinyi Ling, Ziru Chen, Huan Sun, Xia Ning
2024 J jnl
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data.
CoRR
Bo Peng, Xinyi Ling, Ziru Chen, Huan Sun, Xia Ning
2024 J jnl
log-RRIM: Yield Prediction via Local-to-global Reaction Representation Learning and Interaction Modeling.
CoRR
Xiao Hu, Ziqi Chen, Bo Peng, Daniel Adu-Ampratwum, Xia Ning
2023 — conf
A Multi-Layered GRU Model for COVID-19 Patient Representation and Phenotyping from Large-Scale EHR Data.
BCB
Arpita Saha, Maggie Samaan, Bo Peng, Xia Ning
2023 J jnl
Binding peptide generation for MHC Class I proteins with deep reinforcement learning.
Bioinform.
Ziqi Chen, Baoyi Zhang, Hongyu Guo, Prashant S. Emani, Trevor Clancy, Chongming Jiang, Mark Gerstein, Xia Ning, Chao Cheng, Martin Renqiang Min
2023 J jnl
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization.
CoRR
Patrick J. Lawrence, Xia Ning
2023 A* conf
HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract).
ICDE
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
M
IEEE Trans. Knowl. Data Eng.
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing.
CoRR
Shunian Xiang, Patrick J. Lawrence, Bo Peng, Chienwei Chiang, Dokyoon Kim, Li Shen, Xia Ning
2023 J jnl
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation.
CoRR
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation.
CoRR
Bo Peng, Srinivasan Parthasarathy, Xia Ning
2023 J jnl
Precision Anti-Cancer Drug Selection via Neural Ranking.
CoRR
Vishal Dey, Xia Ning
2023 J jnl
RLSynC: Offline-Online Reinforcement Learning for Synthon Completion.
CoRR
Frazier N. Baker, Ziqi Chen, Xia Ning
2023 J jnl
Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models.
CoRR
Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning
2023 B conf
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy.
RECOMB
Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning
2023 J jnl
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy.
CoRR
Ziqi Chen, Martin Renqiang Min, Hongyu Guo, Chao Cheng, Trevor Clancy, Xia Ning
2023 J jnl
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation.
CoRR
Bo Peng, Ben Burns, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2022 J jnl
$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2022 J jnl
G
CoRR
Ziqi Chen, Oluwatosin R. Ayinde, James R. Fuchs, Huan Sun, Xia Ning
2022 — conf
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease.
BIBM
Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen
2022 J jnl
Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources.
J. Biomed. Informatics
Shinji Tarumi, Wataru Takeuchi, Rong Qi, Xia Ning, Laura Ruppert, Hideyuki Ban, Daniel H. Robertson, Titus Schleyer, Kensaku Kawamoto
2022 J jnl
Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation.
CoRR
Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy, Xia Ning
2022 J jnl
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation.
CoRR
Bo Peng, Srinivasan Parthasarathy, Xia Ning
2022 — ch.
Trust Your Neighbors: A Comprehensive Survey of Neighborhood-Based Methods for Recommender Systems.
Recommender Systems Handbook
Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis
2021 J jnl
A deep generative model for molecule optimization via one fragment modification.
Nat. Mach. Intell.
Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
2021 Misc conf
Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors.
SEC
Jie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li
2021 J jnl
Hybrid collaborative filtering methods for recommending search terms to clinicians.
J. Biomed. Informatics
Zhiyun Ren, Bo Peng, Titus K. Schleyer, Xia Ning
2021 J jnl
Improving Compound Activity Classification via Deep Transfer and Representation Learning.
CoRR
Vishal Dey, Raghu Machiraju, Xia Ning
2021 Misc conf
Improving MHC Class I Antigen Processing Prediction via Representation Learning and Cleavage Site-Specific Kernels.
AMIA
Patrick J. Lawrence, Xia Ning
2021 J jnl
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems.
CoRR
Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis
2021 J jnl
Use, Impact, Weaknesses, and Advanced Features of Search Functions for Clinical Use in Electronic Health Records: A Scoping Review.
Appl. Clin. Inform.
Jordan R. Hill, Shyam Visweswaran, Xia Ning, Titus K. Schleyer
2021 J jnl
Using recommender systems to improve proactive modeling.
Softw. Syst. Model.
Arvind Nair, Xia Ning, James H. Hill
2020 J jnl
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak.
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020 J jnl
Correction to: The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.
BMC Medical Informatics Decis. Mak.
Xia Ning, Chi Zhang, Kai Wang, Zhongming Zhao, Ewy A. Mathé
2020 J jnl
Drug Selection via Joint Push and Learning to Rank.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yicheng He, Junfeng Liu, Xia Ning
2020 J jnl
Drug-drug interaction prediction based on co-medication patterns and graph matching.
Int. J. Comput. Biol. Drug Des.
Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning
2020 J jnl
HAM: Hybrid Associations Model with Pooling for Sequential Recommendation.
CoRR
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2020 J jnl
Hybrid Collaborative Filtering Models for Clinical Search Recommendation.
CoRR
Zhiyun Ren, Bo Peng, Titus K. Schleyer, Xia Ning
2020 J jnl
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering.
CoRR
Ziwei Fan, Evan Burgun, Zhiyun Ren, Titus Schleyer, Xia Ning
2020 J jnl
M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation.
CoRR
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2020 J jnl
Mining and visualizing high-order directional drug interaction effects using the FAERS database.
BMC Medical Informatics Decis. Mak.
Xiaohui Yao, Tiffany Tsang, Qing Sun, Sara K. Quinney, Pengyue Zhang, Xia Ning, Lang Li, Li Shen
2020 J jnl
Molecule Optimization via Fragment-based Generative Models.
CoRR
Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
2020 J jnl
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2020 J jnl
Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction.
CoRR
Ziqi Chen, Martin Renqiang Min, Xia Ning
2020 J jnl
The International Conference on Intelligent Biology and Medicine 2019: computational methods for drug interactions.
BMC Medical Informatics Decis. Mak.
Xia Ning, Chi Zhang, Kai Wang, Zhongming Zhao, Ewy A. Mathé
2020 J jnl
Understanding Breast Implant Illness via Social Media Data Analysis.
CoRR
Vishal Dey, Peter Krasniak, Minh Nguyen, Clara Lee, Xia Ning
2019 J jnl
CNN-based Dual-Chain Models for Knowledge Graph Learning.
CoRR
Bo Peng, Renqiang Min, Xia Ning
2019 — conf
Deep Learning for High-Order Drug-Drug Interaction Prediction.
BCB
Bo Peng, Xia Ning
2019 J jnl
Drug-drug interaction prediction based on co-medication patterns and graph matching.
CoRR
Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning
2019 B conf
Grade Prediction Based on Cumulative Knowledge and Co-taken Courses.
EDM
Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala
2019 B conf
Grade Prediction with Neural Collaborative Filtering.
DSAA
Zhiyun Ren, Xia Ning, Andrew S. Lan, Huzefa Rangwala
2019 — conf
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering.
ICHI
Ziwei Fan, Evan Burgun, Titus Schleyer, Xia Ning
2019 J jnl
Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.
IEEE J. Biomed. Health Informatics
Danai Chasioti, Xiaohui Yao, Pengyue Zhang, Samuel Lerner, Sara K. Quinney, Xia Ning, Lang Li, Li Shen
2019 — conf
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
BHI
Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Xia Ning
2019 — conf
Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.
MBIA/MFCA@MICCAI
Bo Peng, Zhiyun Ren, Xiaohui Yao, Kefei Liu, Andrew J. Saykin, Li Shen, Xia Ning
2018 A conf
ALE: Additive Latent Effect Models for Grade Prediction.
SDM
Zhiyun Ren, Xia Ning, Huzefa Rangwala
2018 J jnl
ALE: Additive Latent Effect Models for Grade Prediction.
CoRR
Zhiyun Ren, Xia Ning, Huzefa Rangwala
2018 J jnl
Drug Recommendation toward Safe Polypharmacy.
CoRR
Wen-Hao Chiang, Li Shen, Lang Li, Xia Ning
2018 J jnl
Drug Selection via Joint Push and Learning to Rank.
CoRR
Yicheng He, Junfeng Liu, Lijun Cheng, Xia Ning
2018 — conf
Enhance E-Learning through Data Mining for Personalized Intervention.
CSEDU (1)
Lingma Lu Acheson, Xia Ning
2018 J jnl
Pattern Discovery from High-Order Drug-Drug Interaction Relations.
J. Heal. Informatics Res.
Wen-Hao Chiang, Titus Schleyer, Li Shen, Lang Li, Xia Ning
2017 — ed.
2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017
ICDM Workshops
Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu
2017 — conf
Differential Compound Prioritization via Bi-Directional Selectivity Push with Power.
BCB
Junfeng Liu, Xia Ning
2017 J jnl
Differential Compound Prioritization via Bidirectional Selectivity Push with Power.
J. Chem. Inf. Model.
Junfeng Liu, Xia Ning
2017 B conf
Grade Prediction with Temporal Course-wise Influence.
EDM
Zhiyun Ren, Xia Ning, Huzefa Rangwala
2017 J jnl
Grade Prediction with Temporal Course-wise Influence.
CoRR
Zhiyun Ren, Xia Ning, Huzefa Rangwala
2017 J jnl
Multi-Assay-Based Compound Prioritization via Assistance Utilization: A Machine Learning Framework.
J. Chem. Inf. Model.
Junfeng Liu, Xia Ning
2017 — conf
Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations.
ICHI
Xia Ning, Titus Schleyer, Li Shen, Lang Li
2017 — conf
Predicting High-Order Directional Drug-Drug Interaction Relations.
ICHI
Xia Ning, Li Shen, Lang Li
2016 A conf
Kernelized Sparse Self-Representation for Clustering and Recommendation.
SDM
Xiao Bian, Feng Li, Xia Ning
2016 — conf
PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events.
ICAC
Hongteng Xu, Xia Ning, Hui Zhang, Junghwan Rhee, Guofei Jiang
2016 J jnl
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.
CoRR
Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera
2015 — ch.
A Comprehensive Survey of Neighborhood-Based Recommendation Methods.
Recommender Systems Handbook
Xia Ning, Christian Desrosiers, George Karypis
2015 A conf
Discover and Tame Long-running Idling Processes in Enterprise Systems.
AsiaCCS
Jun Wang, Zhiyun Qian, Zhichun Li, Zhenyu Wu, Junghwan Rhee, Xia Ning, Peng Liu, Guofei Jiang
2015 — conf
Hierarchical Sparse Dictionary Learning.
ECML/PKDD (2)
Xiao Bian, Xia Ning, Geoff Jiang
2015 — conf
Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection.
PAKDD (1)
Jiaji Huang, Xia Ning
2015 — conf
Multi-Perspective Modeling for Click Event Prediction.
RecSys Challenge
Tzu-Chun Lin, Xia Ning
2015 A* conf
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences.
IJCAI
Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang
2015 — conf
Recent Advances in Recommender Systems and Future Directions.
PReMI
Xia Ning, George Karypis
2014 A conf
Interpretable Sparse High-Order Boltzmann Machines.
AISTATS
Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein
2013 A* conf
FISM: factored item similarity models for top-N recommender systems.
KDD
Santosh Kabbur, Xia Ning, George Karypis
2012 J jnl
Improved Machine Learning Models for Predicting Selective Compounds.
J. Chem. Inf. Model.
Xia Ning, Michael A. Walters, George Karypis
2012 J jnl
Improved Machine Learning Models for Predicting Selective Compounds.
J. Chem. Inf. Model.
Xia Ning, Michael A. Walters, George Karypis
2012 J jnl
Multi-view learning via probabilistic latent semantic analysis.
Inf. Sci.
Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi
2012 — conf
Sparse linear methods with side information for Top-N recommendations.
WWW (Companion Volume)
Xia Ning, George Karypis
2012 A conf
Sparse linear methods with side information for top-n recommendations.
RecSys
Xia Ning, George Karypis
2011 — conf
Improved machine learning models for predicting selective compounds.
BCB
Xia Ning, Michael A. Walters, George Karypis
2011 A* conf
SLIM: Sparse Linear Methods for Top-N Recommender Systems.
ICDM
Xia Ning, George Karypis
2011 A conf
Semi-Supervised Convolution Graph Kernels for Relation Extraction.
SDM
Xia Ning, Yanjun Qi
2010 C conf
Multi-task Learning for Recommender System.
ACML
Xia Ning, George Karypis
2010 — conf
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.
ECML/PKDD (2)
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning
2010 — ch.
Trends in Chemical Graph Data Mining.
Managing and Mining Graph Data
Nikil Wale, Xia Ning, George Karypis
2009 J jnl
Multi-Assay-Based Structure-Activity Relationship Models: Improving Structure-Activity Relationship Models by Incorporating Activity Information from Related Targets.
J. Chem. Inf. Model.
Xia Ning, Huzefa Rangwala, George Karypis
2009 A conf
The Set Classification Problem and Solution Methods.
SDM
Xia Ning, George Karypis
2008 — conf
The Set Classification Problem and Solution Methods.
ICDM Workshops
Xia Ning, George Karypis
2005 C conf
Scalable Parallel Quadrilateral Mesh Generation Coupled with Mesh Partitioning.
PDCAT
Jianjun Chen, Yao Zheng, Xia Ning