Edward W. Huang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Query Expansion

Traditional Chinese Medicine

Electronic Medical Record

Neural Network Training

Top Venues

WWW (Companion Volume)

Publications

Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. WWW (Companion Volume) (2024)
Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR (2024)
Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian
Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. CoRR (2024)
Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR (2024)
Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) (2024)
Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. CoRR (2023)
Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
Search Behavior Prediction: A Hypergraph Perspective. WSDM (2023)
Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM (2023)
Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec
Communication-Free Distributed GNN Training with Vertex Cut. CoRR (2023)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. Trans. Mach. Learn. Res. 2023 (2023)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. CoRR (2023)
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Task-Agnostic Graph Explanations. NeurIPS (2022)
Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
Search Behavior Prediction: A Hypergraph Perspective. CoRR (2022)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. ICLR (2022)
Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR (2022)
Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. CoRR (2021)
Edward W. Huang, Ameya Bhope, Jing Lim, Saurabh Sinha, Amin Emad
Tissue-guided LASSO for prediction of clinical drug response using preclinical samples. PLoS Comput. Biol. 16 (1) (2020)
Sheng Wang, Edward W. Huang, Junmei Cairns, Jian Peng, Liewei Wang, Saurabh Sinha
Identification of pathways associated with chemosensitivity through network embedding. PLoS Comput. Biol. 15 (3) (2019)
Edward W. Huang, Sheng Wang, ChengXiang Zhai
VisAGE: Integrating external knowledge into electronic medical record visualization. PSB (2018)
Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker
Annotating gene sets by mining large literature collections with protein networks. PSB (2018)
Edward W. Huang, Sheng Wang, Doris J. Lee, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai
Framing Electronic Medical Records as Polylingual Documents in Query Expansion. AMIA (2017)
Edward W. Huang, Sheng Wang, Bingxue Li, Ran Zhang, Baoyan Liu, Runshun Zhang, Jie Liu, Xuezhong Zhou, Hongsheng Lin, ChengXiang Zhai
HEMnet: Integration of Electronic Medical Records with Molecular Interaction Networks and Domain Knowledge for Survival Analysis. BCB (2017)
Sheng Wang, Edward W. Huang, Runshun Zhang, Xiaoping Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai
A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records. BIBM (2016)
Edward W. Huang, Sheng Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai
PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine. BCB (2016)