Edward W. Huang

34 papers A* 3A 4Misc 3Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. WWW Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra
2025	J	`jnl`	AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents. CoRR Mingdai Yang, Nurendra Choudhary, Jiangshu Du, Edward W. Huang, Philip S. Yu, Karthik Subbian, Danai Koutra
2025	A	`conf`	GraFS: An Integrated GNN-LLM Approach for Inferring Best Functional Substitute Products. CIKM Favour Nerrise, Edward W. Huang, Xiaonan Ji, Karthik Subbian, Danai Koutra
2025	J	`jnl`	Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards. CoRR 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, Jure Leskovec
2025	J	`jnl`	Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. ACM Trans. Knowl. Discov. Data Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2025	—	`conf`	To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach. EMNLP (Findings) Yuchen Yan, Aakash Kolekar, Sahika Genc, Wenju Xu, Edward W. Huang, Anirudh Srinivasan, Mukesh Jain, Qi He, Hanghang Tong
2024	J	`jnl`	All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
2024	—	`conf`	An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
2024	J	`jnl`	An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
2024	A	`conf`	Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. CIKM Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian
2024	J	`jnl`	Covering a Graph with Dense Subgraph Families, via Triangle-Rich Sets. CoRR Sabyasachi Basu, Daniel Paul-Pena, Kun Qian, C. Seshadhri, Edward W. Huang, Karthik Subbian
2024	—	`conf`	Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. WWW (Companion Volume) Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra
2024	J	`jnl`	Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun
2023	J	`jnl`	Communication-Free Distributed GNN Training with Vertex Cut. CoRR Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec
2023	A	`conf`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	A	`conf`	Search Behavior Prediction: A Hypergraph Perspective. WSDM Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023	J	`jnl`	Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation. CoRR Jiong Zhu, Aishwarya Reganti, Edward W. Huang, Charles Dickens, Nikhil Rao, Karthik Subbian, Danai Koutra
2023	J	`jnl`	You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. CoRR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2023	J	`jnl`	You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction. Trans. Mach. Learn. Res. Wenqing Zheng, Edward W. Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2022	A*	`conf`	Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. ICLR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2022	J	`jnl`	Search Behavior Prediction: A Hypergraph Perspective. CoRR Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian
2022	A*	`conf`	Task-Agnostic Graph Explanations. NeurIPS Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022	J	`jnl`	Task-Agnostic Graph Explanations. CoRR Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
2022	J	`jnl`	TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
2021	J	`jnl`	Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. CoRR Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
2020	J	`jnl`	Tissue-guided LASSO for prediction of clinical drug response using preclinical samples. PLoS Comput. Biol. Edward W. Huang, Ameya Bhope, Jing Lim, Saurabh Sinha, Amin Emad
2019	J	`jnl`	Identification of pathways associated with chemosensitivity through network embedding. PLoS Comput. Biol. Sheng Wang, Edward W. Huang, Junmei Cairns, Jian Peng, Liewei Wang, Saurabh Sinha
2019	—	`—`	Integrating heterogeneous data into electronic medical record analysis Edward W. Huang
2018	Misc	`conf`	Annotating gene sets by mining large literature collections with protein networks. PSB Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker
2018	Misc	`conf`	VisAGE: Integrating external knowledge into electronic medical record visualization. PSB Edward W. Huang, Sheng Wang, ChengXiang Zhai
2017	Misc	`conf`	Framing Electronic Medical Records as Polylingual Documents in Query Expansion. AMIA Edward W. Huang, Sheng Wang, Doris J. Lee, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai
2017	—	`conf`	HEMnet: Integration of Electronic Medical Records with Molecular Interaction Networks and Domain Knowledge for Survival Analysis. BCB Edward W. Huang, Sheng Wang, Bingxue Li, Ran Zhang, Baoyan Liu, Runshun Zhang, Jie Liu, Xuezhong Zhou, Hongsheng Lin, ChengXiang Zhai
2016	—	`conf`	A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records. BIBM Sheng Wang, Edward W. Huang, Runshun Zhang, Xiaoping Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai
2016	—	`conf`	PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine. BCB Edward W. Huang, Sheng Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai