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ORCIDEdward W. Huang
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- affiliation: Amazon, Palo Alto, CA, USA
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Books and Theses
- 2019
[b1]Edward W. Huang:
Integrating heterogeneous data into electronic medical record analysis. University of Illinois Urbana-Champaign, USA, 2019
Journal Articles
- 2020
- [j2]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) - 2019
- [j1]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)
Conference and Workshop Papers
- 2024
- [c12]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: 206-215 - [c11]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: 1502-1510 - 2023
- [c10]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: 1523-1533 - [c9]Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian:
Search Behavior Prediction: A Hypergraph Perspective. WSDM 2023: 697-705 - 2022
- [c8]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 - [c7]Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji:
Task-Agnostic Graph Explanations. NeurIPS 2022 - 2018
- [c6]Edward W. Huang, Sheng Wang, ChengXiang Zhai:
VisAGE: Integrating external knowledge into electronic medical record visualization. PSB 2018: 578-589 - [c5]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: 601-613 - 2017
- [c4]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 - [c3]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: 378-387 - 2016
- [c2]Edward W. Huang, Sheng Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai:
PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine. BCB 2016: 443-452 - [c1]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: 411-418
Informal and Other Publications
- 2024
- [i10]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 abs/2403.00923 (2024) - 2023
- [i9]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 abs/2302.14189 (2023) - [i8]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 abs/2305.09887 (2023) - [i7]Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec:
Communication-Free Distributed GNN Training with Vertex Cut. CoRR abs/2308.03209 (2023) - [i6]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR abs/2310.04865 (2023) - [i5]Charles Dickens, Eddie W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra:
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. CoRR abs/2312.15520 (2023) - 2022
- [i4]Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji:
Task-Agnostic Graph Explanations. CoRR abs/2202.08335 (2022) - [i3]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 abs/2210.14843 (2022) - [i2]Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian:
Search Behavior Prediction: A Hypergraph Perspective. CoRR abs/2211.13328 (2022) - 2021
- [i1]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 abs/2111.04840 (2021)
Coauthor Index
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