| 2026 | AAAI | Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation. | Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai |
| 2026 | ACL | Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering. | Songtao Jiang, Yuan Wang, Ruizhe Chen, Yan Zhang, Ruilin Luo, Bohan Lei, Yeying Jin, Sibo Song, Zhibo Yang, Jimeng Sun, Jian Wu, Zuozhu Liu |
| 2026 | AIME | Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification. | Arjun Chatterjee, Sayeed Sajjad Razin, John Wu, Siddhartha Laghuvarapu, Jathurshan Pradeepkumar, Jimeng Sun |
| 2026 | LREC | SocialStep: Fast Prediction of Social Determinants of Health. | Paul Landes, Adam Richard Cross, Jimeng Sun |
| 2025 | AAAI | Long-Term EEG Partitioning for Seizure Onset Detection. | Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun |
| 2025 | AAAI | Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. | Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han |
| 2025 | ACL | SECRET: Semi-supervised Clinical Trial Document Similarity Search. | Trisha Das, Afrah Shafquat, Mandis Beigi, Jacob Aptekar, Jimeng Sun |
| 2025 | ACL | Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation. | Hanyin Wang, Chufan Gao, Bolun Liu, Qiping Xu, Guleid Hussein, Mohamad El Labban, Kingsley Iheasirim, Hariprasad Reddy Korsapati, Chuck Outcalt, Jimeng Sun |
| 2025 | EMNLP | s3: You Don't Need That Much Data to Train a Search Agent via RL. | Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han |
| 2025 | EMNLP | Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise. | Hanyin Wang, Chufan Gao, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Reddy Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, Jimeng Sun |
| 2025 | ICLR | GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation. | Ziwei Yang, Zheng Chen, Xin Liu, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun |
| 2025 | ICLR | Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. | Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han |
| 2025 | ICLR | Small Models are LLM Knowledge Triggers for Medical Tabular Prediction. | Jiahuan Yan, Jintai Chen, Chaowen Hu, Bo Zheng, Yaojun Hu, Jimeng Sun, Jian Wu |
| 2025 | KDD | A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare. | Ran Xu, Patrick Jiang, Linhao Luo, Cao Xiao, Adam Cross, Shirui Pan, Jimeng Sun, Carl Yang |
| 2025 | KDD | MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem. | Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu |
| 2024 | AAAI | ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. | Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun |
| 2024 | ACL | MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. | Yilin Wen, Zifeng Wang, Jimeng Sun |
| 2024 | ACL | TTM-RE: Memory-Augmented Document-Level Relation Extraction. | Chufan Gao, Xuan Wang, Jimeng Sun |
| 2024 | CIKM | Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. | Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun |
| 2024 | EMNLP | Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation. | Zhen Lin, Shubhendu Trivedi, Jimeng Sun |
| 2024 | EMNLP | Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. | John Wu, David Wu, Jimeng Sun |
| 2024 | ICLR | GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. | Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun |
| 2024 | ICLR | Multimodal Patient Representation Learning with Missing Modalities and Labels. | Zhenbang Wu, Anant Dadu, Nicholas J. Tustison, Brian B. Avants, Mike A. Nalls, Jimeng Sun, Faraz Faghri |
| 2024 | ICLR | Making Pre-trained Language Models Great on Tabular Prediction. | Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Z. Chen, Jimeng Sun, Jian Wu, Jintai Chen |
| 2024 | ICML | Certifiably Byzantine-Robust Federated Conformal Prediction. | Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li |
| 2024 | IJCAI | Recent Advances in Predictive Modeling with Electronic Health Records. | Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma |
| 2024 | IJCAI | MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. | Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun |
| 2024 | KDD | Can a Deep Learning Model be a | Jintai Chen, Jiahuan Yan, Qiyuan Chen, Danny Z. Chen, Jian Wu, Jimeng Sun |
| 2024 | NAACL | PILOT: Legal Case Outcome Prediction with Case Law. | Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun |
| 2024 | NAACL | GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. | Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han |
| 2024 | NAACL | TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. | Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han |
| 2023 | ACL | Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. | Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han |
| 2023 | EMNLP | AutoTrial: Prompting Language Models for Clinical Trial Design. | Zifeng Wang, Cao Xiao, Jimeng Sun |
| 2023 | EMNLP | DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. | Daniel Hajialigol, Derek Kaknes, Tanner Barbour, Daphne Yao, Chris North, Jimeng Sun, David Liem, Xuan Wang |
| 2023 | ICLR | Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. | Zhen Lin, Shubhendu Trivedi, Jimeng Sun |
| 2023 | ICLR | ManyDG: Many-domain Generalization for Healthcare Applications. | Chaoqi Yang, M. Brandon Westover, Jimeng Sun |
| 2023 | ICML | Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. | Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun |
| 2023 | KDD | TWIN: Personalized Clinical Trial Digital Twin Generation. | Trisha Das, Zifeng Wang, Jimeng Sun |
| 2023 | KDD | MedLink: De-Identified Patient Health Record Linkage. | Zhenbang Wu, Cao Xiao, Jimeng Sun |
| 2023 | KDD | PyHealth: A Deep Learning Toolkit for Healthcare Applications. | Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun |
| 2022 | AAAI | SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. | Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun |
| 2022 | CVPR | UniCoRN: A Unified Conditional Image Repainting Network. | Jimeng Sun, Shuchen Weng, Zheng Chang, Si Li, Boxin Shi |
| 2022 | ECCV | CT | Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi |
| 2022 | EMNLP | MedCLIP: Contrastive Learning from Unpaired Medical Images and Text. | Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, Jimeng Sun |
| 2022 | EMNLP | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning. | Zifeng Wang, Jimeng Sun |
| 2022 | EMNLP | Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision. | Zifeng Wang, Jimeng Sun |
| 2022 | ICLR | PAC-Bayes Information Bottleneck. | Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng |
| 2022 | ICLR | Differentiable Scaffolding Tree for Molecule Optimization. | Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun |
| 2022 | IJCAI | GOCPT: Generalized Online Canonical Polyadic Tensor Factorization and Completion. | Chaoqi Yang, Cheng Qian, Jimeng Sun |
| 2022 | KDD | SIPF: Sampling Method for Inverse Protein Folding. | Tianfan Fu, Jimeng Sun |
| 2022 | KDD | Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model. | Tianfan Fu, Jimeng Sun |
| 2022 | WWW | PopNet: Real-Time Population-Level Disease Prediction with Data Latency. | Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2021 | AAAI | SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. | Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun |
| 2021 | AAAI | MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. | Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun |
| 2021 | AAAI | STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. | Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2021 | ACL | Fusion: Towards Automated ICD Coding via Feature Compression. | Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma |
| 2021 | IJCAI | Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. | Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun |
| 2021 | IJCAI | Change Matters: Medication Change Prediction with Recurrent Residual Networks. | Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun |
| 2021 | IJCAI | SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. | Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun |
| 2021 | KDD | Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. | Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun |
| 2021 | KDD | Advances in Mining Heterogeneous Healthcare Data. | Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun |
| 2021 | KDD | MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. | Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun |
| 2021 | WWW | UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. | Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao |
| 2021 | WWW | AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. | Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun |
| 2020 | AAAI | Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. | Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun |
| 2020 | AAAI | CONAN: Complementary Pattern Augmentation for Rare Disease Detection. | Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao |
| 2020 | AAAI | CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. | Tianfan Fu, Cao Xiao, Jimeng Sun |
| 2020 | AAAI | CASTER: Predicting Drug Interactions with Chemical Substructure Representation. | Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun |
| 2020 | ICDM | ViVA: Semi-supervised Visualization via Variational Autoencoders. | Sungtae An, Shenda Hong, Jimeng Sun |
| 2020 | ICML | SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. | Lingkai Kong, Jimeng Sun, Chao Zhang |
| 2020 | KDD | COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. | Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2020 | KDD | HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units. | Shenda Hong, Yanbo Xu, Alind Khare, Satria Priambada, Kevin O. Maher, Alaa Aljiffry, Jimeng Sun, Alexey Tumanov |
| 2020 | KDD | LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. | Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun |
| 2020 | KDD | STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. | Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang |
| 2020 | WWW | Clinical Report Auto-completion. | Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun |
| 2020 | WWW | REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. | Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun |
| 2020 | WWW | StageNet: Stage-Aware Neural Networks for Health Risk Prediction. | Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun |
| 2020 | WWW | Patient-Trial Matching with Deep Embedding and Entailment Prediction. | Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun |
| 2019 | AAAI | GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. | Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | AAAI | Hierarchical Reinforcement Learning for Course Recommendation in MOOCs. | Jing Zhang, Bowen Hao, Bo Chen, Cuiping Li, Hong Chen, Jimeng Sun |
| 2019 | IJCAI | DDL: Deep Dictionary Learning for Predictive Phenotyping. | Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun |
| 2019 | IJCAI | RDPD: Rich Data Helps Poor Data via Imitation. | Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | IJCAI | MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. | Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | IJCAI | Pre-training of Graph Augmented Transformers for Medication Recommendation. | Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun |
| 2019 | ICS | Efficient and effective sparse tensor reordering. | Jiajia Li, Bora Uar, mit V. atalyrek, Jimeng Sun, Kevin J. Barker, Richard W. Vuduc |
| 2019 | KDD | Tutorial: Data Mining Methods for Drug Discovery and Development. | Cao Xiao, Jimeng Sun |
| 2019 | WWW | Longitudinal Adversarial Attack on Electronic Health Records Data. | Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun |
| 2019 | UAI | Guaranteed Scalable Learning of Latent Tree Models. | Furong Huang, U. N. Niranjan, Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar |
| 2019 | SDM | CP Tensor Decomposition with Cannot-Link Intermode Constraints. | Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho |
| 2018 | CIKM | COPA: Constrained PARAFAC2 for Sparse & Large Datasets. | Ardavan Afshar, Ioakeim Perros, Evangelos E. Papalexakis, Elizabeth Searles, Joyce C. Ho, Jimeng Sun |
| 2018 | KDD | SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping. | Ioakeim Perros, Evangelos E. Papalexakis, Haesun Park, Richard W. Vuduc, Xiaowei Yan, Christopher deFilippi, Walter F. Stewart, Jimeng Sun |
| 2018 | KDD | RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data. | Yanbo Xu, Siddharth Biswal, Shriprasad R. Deshpande, Kevin O. Maher, Jimeng Sun |
| 2018 | NAACL | Explainable Prediction of Medical Codes from Clinical Text. | James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein |
| 2018 | SC | HiCOO: hierarchical storage of sparse tensors. | Jiajia Li, Jimeng Sun, Richard W. Vuduc |
| 2017 | AAAI | StructInf: Mining Structural Influence from Social Streams. | Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun |
| 2017 | AMIA | Use of Clinical Phenotypes and Non-negative Tensor Factorization for Heart Failure Prediction. | Yu Deng, Al'ona Furmanchuk, Robert Chen, Faraz S. Ahmad, Jimeng Sun, Abel N. Kho |
| 2017 | AMIA | Computational Phenotyping on Diverse Data Sources. | Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh |
| 2017 | AMIA | Predicting Changes in Pediatric Medical Complexity using Large Longitudinal Health Records. | Yanbo Xu, Mohammad Taha Bahadori, Elizabeth Searles, Michael Thompson, Javier Tejedor-Sojo, Jimeng Sun |
| 2017 | KDD | GRAM: Graph-based Attention Model for Healthcare Representation Learning. | Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun |
| 2017 | KDD | Federated Tensor Factorization for Computational Phenotyping. | Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang |
| 2017 | KDD | SPARTan: Scalable PARAFAC2 for Large & Sparse Data. | Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard W. Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun |
| 2017 | KDD | LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity. | Yutao Zhang, Robert Chen, Jie Tang, Walter F. Stewart, Jimeng Sun |
| 2017 | WWW | Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. | Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun |
| 2017 | SDM | Polyadic Regression and its Application to Chemogenomics. | Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun |
| 2016 | AMIA | Computational Phenotyping Methods. | Yuan Luo, Jimeng Sun, Xiaoqian Jiang, Fei Wang |
| 2016 | ICWSM | #PrayForDad: Learning the Semantics Behind Why Social Media Users Disclose Health Information. | Zhijun Yin, You Chen, Daniel Fabbri, Jimeng Sun, Bradley A. Malin |
| 2016 | KDD | Multi-layer Representation Learning for Medical Concepts. | Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Michael Thompson, James Bost, Javier Tejedor-Sojo, Jimeng Sun |
| 2016 | KDD | FLASH: Fast Bayesian Optimization for Data Analytic Pipelines. | Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun |
| 2016 | WSDM | The Troll-Trust Model for Ranking in Signed Networks. | Zhaoming Wu, Charu C. Aggarwal, Jimeng Sun |
| 2015 | AMIA | Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction. | Robert Chen, Hang Su, Yi Zhen, Mohammed Khalilia, Daniel Hirsch, Michael Thompson, Tod Davis, Yue Peng, Sizhe Lin, Javier Tejedor-Sojo, Elizabeth Searles, Jimeng Sun |
| 2015 | AMIA | System Architecture of CDC I-SMILE Recommendation Engine. | Edward Choi, Jina J. Dcruz, Sizhe Lin, Aashu B. Singh, Hang Su, Kelly Ryder, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun |
| 2015 | AMIA | Information System for Mobile Immersive Learning Environment for Just-in-Time Learning in Public Health. | Jina J. Dcruz, Kelly Ryder, Edward Choi, Sizhe Lin, Aashu B. Singh, Hang Su, Sridhar R. Papagari Sangareddy, Herman D. Tolentino, Jimeng Sun |
| 2015 | AMIA | Clinical Predictive Modeling Development and Deployment through FHIR Web Services. | Mohammed Khalilia, Myung Choi, Amelia Henderson, Sneha Iyengar, Mark L. Braunstein, Jimeng Sun |
| 2015 | ICDM | Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. | Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun |
| 2015 | ICDM | Sparse Hierarchical Tucker Factorization and Its Application to Healthcare. | Ioakeim Perros, Robert Chen, Richard W. Vuduc, Jimeng Sun |
| 2015 | KDD | Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. | Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun |
| 2015 | WWW | Incorporating Social Context and Domain Knowledge for Entity Recognition. | Jie Tang, Zhanpeng Fang, Jimeng Sun |
| 2015 | SC | An input-adaptive and in-place approach to dense tensor-times-matrix multiply. | Jiajia Li, Casey Battaglino, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc |
| 2014 | KDD | Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. | Joyce C. Ho, Joydeep Ghosh, Jimeng Sun |
| 2014 | WWW | Computational models for social influence analysis: [extended abstract]. | Jie Tang, Jimeng Sun |
| 2013 | AMIA | Biomedical and Healthcare Analytics on Big Data. | Niels Peek, Jimeng Sun, John H. Holmes, Fernando Martn-Snchez, Riccardo Bellazzi |
| 2013 | KDD | Big data analytics for healthcare. | Jimeng Sun, Chandan K. Reddy |
| 2013 | KDD | Confluence: conformity influence in large social networks. | Jie Tang, Sen Wu, Jimeng Sun |
| 2013 | KDD | FeaFiner: biomarker identification from medical data through feature generalization and selection. | Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye |
| 2013 | WSDM | Models and algorithms for social influence analysis. | Jimeng Sun, Jie Tang |
| 2013 | WSDM | Patent partner recommendation in enterprise social networks. | Sen Wu, Jimeng Sun, Jie Tang |
| 2013 | SDM | Patient Risk Prediction Model via Top-k Stability Selection. | Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou |
| 2012 | AMIA | ICDA: A Platform for Intelligent Care Delivery Analytics. | David Gotz, Harry Stavropoulos, Jimeng Sun, Fei Wang |
| 2012 | AMIA | A Healthcare Utilization Analysis Framework for Hot Spotting and Contextual Anomaly Detection. | Jianying Hu, Fei Wang, Jimeng Sun, Robert Sorrentino, Shahram Ebadollahi |
| 2012 | AMIA | MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression. | Adam Perer, Jimeng Sun |
| 2012 | AMIA | Combining Knowledge and Data Driven Insights for Identifying Risk Factors using Electronic Health Records. | Jimeng Sun, Jianying Hu, Dijun Luo, Marianthi Markatou, Fei Wang, Shahram Ebadollahi, Zahra Daar, Walter F. Stewart |
| 2012 | ICPR | Medical prognosis based on patient similarity and expert feedback. | Fei Wang, Jianying Hu, Jimeng Sun |
| 2012 | KDD | Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. | Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi |
| 2012 | KDD | Latent association analysis of document pairs. | Gengxin Miao, Ziyu Guan, Louise E. Moser, Xifeng Yan, Shu Tao, Nikos Anerousis, Jimeng Sun |
| 2012 | KDD | SympGraph: a framework for mining clinical notes through symptom relation graphs. | Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai |
| 2012 | KDD | Cross-domain collaboration recommendation. | Jie Tang, Sen Wu, Jimeng Sun, Hang Su |
| 2012 | SDM | Fast Random Walk Graph Kernel. | U Kang, Hanghang Tong, Jimeng Sun |
| 2012 | SDM | SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications. | Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi |
| 2011 | AAAI | Automatic Group Sparse Coding. | Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi |
| 2011 | ICDM | SolarMap: Multifaceted Visual Analytics for Topic Exploration. | Nan Cao, David Gotz, Jimeng Sun, Yu-Ru Lin, Huamin Qu |
| 2011 | KDD | GBASE: a scalable and general graph management system. | U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos |
| 2011 | SDM | Centralities in Large Networks: Algorithms and Observations. | U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong |
| 2011 | SDM | Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment. | Fei Wang, Jimeng Sun, Shahram Ebadollahi |
| 2011 | SDM | iMet: Interactive Metric Learning in Healthcare Applications. | Fei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi |
| 2010 | CIKM | PTM: probabilistic topic mapping model for mining parallel document collections. | Duo Zhang, Jimeng Sun, ChengXiang Zhai, Abhijit Bose, Nikos Anerousis |
| 2010 | ICDM | A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support. | Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi |
| 2010 | ICDM | MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model. | Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jinghai Rao |
| 2010 | ICPR | Localized Supervised Metric Learning on Temporal Physiological Data. | Jimeng Sun, Daby M. Sow, Jianying Hu, Shahram Ebadollahi |
| 2010 | KDD | Social action tracking via noise tolerant time-varying factor graphs. | Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang |
| 2010 | KDD | Temporal recommendation on graphs via long- and short-term preference fusion. | Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, Qing Yang, Jimeng Sun |
| 2010 | SDM | ContexTour: Contextual Contour Analysis on Dynamic Multi-relational Clustering. | Yu-Ru Lin, Jimeng Sun, Nan Cao, Shixia Liu |
| 2009 | ICDE | SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence. | Ching-Yung Lin, Nan Cao, Shixia Liu, Spiros Papadimitriou, Jimeng Sun, Xifeng Yan |
| 2009 | ICDM | Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification. | Fei Wang, Jimeng Sun, Tao Li, Nikos Anerousis |
| 2009 | KDD | MetaFac: community discovery via relational hypergraph factorization. | Yu-Ru Lin, Jimeng Sun, Paul C. Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher |
| 2009 | KDD | Social influence analysis in large-scale networks. | Jie Tang, Jimeng Sun, Chi Wang, Zi Yang |
| 2009 | WWW | Extracting community structure through relational hypergraphs. | Yu-Ru Lin, Jimeng Sun, Paul C. Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher |
| 2009 | SDM | MultiVis: Content-Based Social Network Exploration through Multi-way Visual Analysis. | Jimeng Sun, Spiros Papadimitriou, Ching-Yung Lin, Nan Cao, Shixia Liu, Weihong Qian |
| 2008 | CIKM | Clustered subset selection and its applications on it service metrics. | Christos Boutsidis, Jimeng Sun, Nikos Anerousis |
| 2008 | ICDM | Scalable Tensor Decompositions for Multi-aspect Data Mining. | Tamara G. Kolda, Jimeng Sun |
| 2008 | ICDM | DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining. | Spiros Papadimitriou, Jimeng Sun |
| 2008 | IJCNN | Bayesian tensor analysis. | Dacheng Tao, Jimeng Sun, Jialie Shen, Xindong Wu, Xuelong Li, Stephen J. Maybank, Christos Faloutsos |
| 2008 | KDD | Colibri: fast mining of large static and dynamic graphs. | Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos |
| 2007 | ICDE | Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking. | Feifei Li, Jimeng Sun, Spiros Papadimitriou, George A. Mihaila, Ioana Stanoi |
| 2007 | ICONIP | Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria. | Dacheng Tao, Jimeng Sun, Xindong Wu, Xuelong Li, Jialie Shen, Stephen J. Maybank, Christos Faloutsos |
| 2007 | IJCAI | Dynamic Mixture Models for Multiple Time-Series. | Xing Wei, Jimeng Sun, Xuerui Wang |
| 2007 | KDD | GraphScope: parameter-free mining of large time-evolving graphs. | Jimeng Sun, Christos Faloutsos, Spiros Papadimitriou, Philip S. Yu |
| 2007 | SIGMOD | Mining large graphs and streams using matrix and tensor tools. | Christos Faloutsos, Tamara G. Kolda, Jimeng Sun |
| 2007 | SDM | Less is More: Compact Matrix Decomposition for Large Sparse Graphs. | Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Faloutsos |
| 2006 | ICDM | Local Correlation Tracking in Time Series. | Spiros Papadimitriou, Jimeng Sun, Philip S. Yu |
| 2006 | ICDM | Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams. | Jimeng Sun, Spiros Papadimitriou, Philip S. Yu |
| 2006 | KDD | Beyond streams and graphs: dynamic tensor analysis. | Jimeng Sun, Dacheng Tao, Christos Faloutsos |
| 2006 | PAKDD | Distributed Pattern Discovery in Multiple Streams. | Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos |
| 2006 | VLDB | InteMon: Intelligent System Monitoring on Large Clusters. | Evan Hoke, Jimeng Sun, Christos Faloutsos |
| 2005 | ICDE | Online Latent Variable Detection in Sensor Networks. | Jimeng Sun, Spiros Papadimitriou, Christos Faloutsos |
| 2005 | ICDM | Neighborhood Formation and Anomaly Detection in Bipartite Graphs. | Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos |
| 2005 | VLDB | Streaming Pattern Discovery in Multiple Time-Series. | Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos |
| 2004 | ICDE | Querying about the Past, the Present, and the Future in Spatio-Temporal. | Jimeng Sun, Dimitris Papadias, Yufei Tao, Bin Liu |
| 2003 | ICDE | Selectivity Estimation for Predictive Spatio-Temporal Queries. | Yufei Tao, Jimeng Sun, Dimitris Papadias |
| 2003 | VLDB | The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries. | Yufei Tao, Dimitris Papadias, Jimeng Sun |