Publications by authors named "Hanghang Tong"

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SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation.
Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong

IEEE/ACM Trans Comput Biol Bioinform· July 2025

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Enhancing biomedical named entity recognition with parallel boundary detection and category classification.
Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li

BMC Bioinformatics· February 2025

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Current and future directions in network biology.
Marinka Zitnik, Michelle M Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, Hanghang Tong

Bioinform Adv· August 2024

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Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams.
Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong

IEEE Trans Vis Comput Graph· January 2024

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ArieL: Adversarial Graph Contrastive Learning.
Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong

ACM Trans Knowl Discov Data· December 2023

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Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders.
Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Hanghang Tong

KDD· August 2023

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Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.
Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He

SIGKDD Explor· July 2023

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Generative Graph Dictionary Learning.
Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong

Proc Mach Learn Res· January 2023

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FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models.
Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski

IEEE Trans Vis Comput Graph· January 2022

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Auditing the Sensitivity of Graph-based Ranking with Visual Analytics.
Tiankai Xie, Yuxin Ma, Hanghang Tong, My T Thai, Ross Maciejewski

IEEE Trans Vis Comput Graph· February 2021

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Eiffel: Evolutionary Flow Map for Influence Graph Visualization.
Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Tong Yang

IEEE Trans Vis Comput Graph· October 2020

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Graph convolutional networks: a comprehensive review.
Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski

Comput Soc Netw· November 2019

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Location Prediction for Tweets.
Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski

Front Big Data· May 2019

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Towards Optimal Connectivity on Multi-layered Networks.
Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong

IEEE Trans Knowl Data Eng· October 2017

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Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective.
Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He

ACM Trans Knowl Discov Data· August 2017

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Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions.
Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin

IEEE Trans Knowl Data Eng· March 2017

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Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation.
Xinsong Yang, Lei Shi, Madelaine Daianu, Hanghang Tong, Qingsong Liu

IEEE Trans Vis Comput Graph· January 2017

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Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model.
Jingchao Ni, Mehmet Koyuturk, Hanghang Tong, Jonathan Haines, Rong Xu

BMC Bioinformatics· November 2016

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Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing.
Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He

PLoS Comput Biol· October 2016

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VISAGE: Interactive Visual Graph Querying.
Robert Pienta, Shamkant Navathe, Acar Tamersoy, Hanghang Tong, Alex Endert

AVI· June 2016

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Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment.
Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang

Proc IEEE Int Conf Data Min· November 2015

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Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design.
Robert Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng Chau

IUI· January 2015

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MAGE: Matching Approximate Patterns in Richly-Attributed Graphs.
Robert Pienta, Acar Tamersoy, Hanghang Tong, Duen Horng Chau

Proc IEEE Int Conf Big Data· October 2014

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Generalized manifold-ranking-based image retrieval.
Jingrui He, Mingjing Li, Hong-Jiang Zhang, Hanghang Tong, Changshui Zhang

IEEE Trans Image Process· October 2006

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