PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine. - Edward W. Huang; Sheng Wang 012; Runshun Zhang; Baoyan Liu; Xuezhong Zhou; ChengXiang Zhai (BCB, 2016)

A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records. - Sheng Wang 012; Edward W. Huang; Runshun Zhang; Xiaoping Zhang; Baoyan Liu; Xuezhong Zhou; ChengXiang Zhai (BIBM, 2016)

Framing Electronic Medical Records as Polylingual Documents in Query Expansion. - Edward W. Huang; Sheng Wang 012; Doris J. Lee; Runshun Zhang; Baoyan Liu; Xuezhong Zhou; ChengXiang Zhai (AMIA, 2017)

HEMnet: Integration of Electronic Medical Records with Molecular Interaction Networks and Domain Knowledge for Survival Analysis. - Edward W. Huang; Sheng Wang 012; Bingxue Li; Ran Zhang 008; Baoyan Liu; Runshun Zhang; Jie Liu; Xuezhong Zhou; Hongsheng Lin; ChengXiang Zhai (BCB, 2017)

VisAGE: Integrating external knowledge into electronic medical record visualization. - Edward W. Huang; Sheng Wang 012; ChengXiang Zhai (PSB, 2018)

Annotating gene sets by mining large literature collections with protein networks. - Sheng Wang 001; Jianzhu Ma; Michael Ku Yu; Fan Zheng; Edward W. Huang; Jiawei Han 001; Jian Peng 001; Trey Ideker (PSB, 2018)

Identification of pathways associated with chemosensitivity through network embedding. - Sheng Wang 001; Edward W. Huang; Junmei Cairns; Jian Peng 001; Liewei Wang; Saurabh Sinha (PLoS Comput. Biol., 2019)

Integrating heterogeneous data into electronic medical record analysis - Edward W. Huang (2019)

Tissue-guided LASSO for prediction of clinical drug response using preclinical samples. - Edward W. Huang; Ameya Bhope; Jing Lim; Saurabh Sinha; Amin Emad (PLoS Comput. Biol., 2020)

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Sumeet Katariya; Zhangyang Wang; Karthik Subbian (ICLR, 2022)

Task-Agnostic Graph Explanations. - Yaochen Xie; Sumeet Katariya; Xianfeng Tang; Edward W. Huang; Nikhil Rao 001; Karthik Subbian; Shuiwang Ji (NeurIPS, 2022)

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. - Weihua Hu; Kaidi Cao; Kexin Huang; Edward W. Huang; Karthik Subbian; Jure Leskovec (CoRR, 2022)

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. - Zixuan Liu 001; Gaurush Hiranandani; Kun Qian 018; Edward W. Huang; Yi Xu 011; Belinda Zeng; Karthik Subbian; Sheng Wang 012 (CIKM, 2023)

Search Behavior Prediction: A Hypergraph Perspective. - Yan Han 001; Edward W. Huang; Wenqing Zheng; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (WSDM, 2023)

Communication-Free Distributed GNN Training with Vertex Cut. - Kaidi Cao; Rui Deng; Shirley Wu; Edward W. Huang; Karthik Subbian; Jure Leskovec (CoRR, 2023)

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (Trans. Mach. Learn. Res., 2023)

Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. - Sabyasachi Basu; Daniel Paul-Pena; Kun Qian 018; C. Seshadhri 001; Edward W. Huang; Karthik Subbian (CIKM, 2024)

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. - Nurendra Choudhary; Edward W. Huang; Karthik Subbian; Chandan K. Reddy (WWW (Companion Volume), 2024)

Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. - Charles Dickens; Edward W. Huang; Aishwarya Reganti; Jiong Zhu; Karthik Subbian; Danai Koutra (WWW (Companion Volume), 2024)

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. - Ajay Jaiswal; Nurendra Choudhary; Ravinarayana Adkathimar; Muthu P. Alagappan; Gaurush Hiranandani; Ying Ding 001; Zhangyang Wang; Edward W. Huang; Karthik Subbian (CoRR, 2024)

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. - Jiacheng Lin; Kun Qian 018; Haoyu Han; Nurendra Choudhary; Tianxin Wei; Zhongruo Wang; Sahika Genc; Edward W. Huang; Sheng Wang 012; Karthik Subbian; Danai Koutra; Jimeng Sun 001 (CoRR, 2024)

Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. - Jiong Zhu; Aishwarya Reganti; Edward W. Huang; Charles Dickens; Nikhil Rao 001; Karthik Subbian; Danai Koutra (ACM Trans. Knowl. Discov. Data, 2025)

Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards. - Shirley Wu; Parth Sarthi; Shiyu Zhao; Aaron Lee; Herumb Shandilya; Adrian Mladenic Grobelnik; Nurendra Choudhary; Edward W. Huang; Karthik Subbian; Linjun Zhang; Diyi Yang; James Zou 001; et al. (CoRR, 2025)