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ORCIDHanghang Tong
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- affiliation: Arizona State University
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2020 – today
- 2021
[j55]Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong:
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63(1): 105-124 (2021)- [j54]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 1459-1469 (2021) - [i28]Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. CoRR abs/2101.11070 (2021) - [i27]Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. CoRR abs/2102.07736 (2021) - [i26]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. CoRR abs/2102.07810 (2021) - [i25]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR abs/2102.11165 (2021) - 2020
- [j53]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu:
Enhancing supervised bug localization with metadata and stack-trace. Knowl. Inf. Syst. 62(6): 2461-2484 (2020) - [j52]Yu Wang
, Yun Li, Ziye Zhu, Hanghang Tong, Yue Huang:
Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2476-2488 (2020) - [j51]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data 14(4): 38:1-38:26 (2020) - [j50]Zhen Chen, Hanghang Tong, Lei Ying:
Inferring Full Diffusion History from Partial Timestamps. IEEE Trans. Knowl. Data Eng. 32(7): 1378-1392 (2020) - [j49]Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, Shuo Liang:
Eiffel: Evolutionary Flow Map for Influence Graph Visualization. IEEE Trans. Vis. Comput. Graph. 26(10): 2944-2960 (2020) - [j48]Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian:
OnionGraph: Hierarchical topology+attribute multivariate network visualization. Vis. Informatics 4(1): 43-57 (2020) - [c165]Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu:
Bringing Order to Network Embedding: A Relative Ranking based Approach. CIKM 2020: 1585-1594 - [c164]Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He:
A View-Adversarial Framework for Multi-View Network Embedding. CIKM 2020: 2025-2028 - [c163]Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong:
Few-shot Insider Threat Detection. CIKM 2020: 2289-2292 - [c162]Si Zhang, Hanghang Tong:
Network Alignment: Recent Advances and Future Directions. CIKM 2020: 3521-3522 - [c161]Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu:
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. EMNLP (1) 2020: 6027-6036 - [c160]Haoran Li, Yang Weng, Hanghang Tong:
Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. ICDM 2020: 1088-1093 - [c159]Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang:
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. IJCAI 2020: 3565-3571 - [c158]Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong:
InFoRM: Individual Fairness on Graph Mining. KDD 2020: 379-389 - [c157]Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu:
NetTrans: Neural Cross-Network Transformation. KDD 2020: 986-996 - [c156]Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong:
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS 2020 - [i24]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020) - [i23]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR abs/2008.07097 (2020) - [i22]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-driven Computational Social Science: A Survey. CoRR abs/2008.12372 (2020) - [i21]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. CoRR abs/2009.07227 (2020) - [i20]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. CoRR abs/2010.05057 (2020) - [i19]Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. CoRR abs/2011.03189 (2020)
2010 – 2019
- 2019
- [j47]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
A Brief Review of Network Embedding. Big Data Min. Anal. 2(1): 35-47 (2019) - [j46]Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski:
Location Prediction for Tweets. Frontiers Big Data 2: 5 (2019) - [j45]Si Zhang, Hanghang Tong:
Attributed Network Alignment: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 31(9): 1680-1692 (2019) - [j44]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web 22(3): 1099-1129 (2019) - [c155]Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. AAAI 2019: 5109-5116 - [c154]Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu:
Hashtag Recommendation for Photo Sharing Services. AAAI 2019: 5805-5812 - [c153]Hairi, Hanghang Tong, Lei Ying:
NetDyna: Mining Networked Coevolving Time Series with Missing Values. BigData 2019: 503-512 - [c152]Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong:
G-Finder: Approximate Attributed Subgraph Matching. BigData 2019: 513-522 - [c151]Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski:
ORIGIN: Non-Rigid Network Alignment. BigData 2019: 998-1007 - [c150]Qinghai Zhou, Liangyue Li, Hanghang Tong:
Towards Real Time Team Optimization. BigData 2019: 1008-1017 - [c149]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Discerning Edge Influence for Network Embedding. CIKM 2019: 429-438 - [c148]Boxin Du, Hanghang Tong:
MrMine: Multi-resolution Multi-network Embedding. CIKM 2019: 479-488 - [c147]Jian Kang, Hanghang Tong:
N2N: Network Derivative Mining. CIKM 2019: 861-870 - [c146]Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu:
Robust Embedded Deep K-means Clustering. CIKM 2019: 1181-1190 - [c145]Rui Zhang, Hanghang Tong, Yifan Hu:
Adaptive Feature Redundancy Minimization. CIKM 2019: 2417-2420 - [c144]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
ADMIRING: Adversarial Multi-network Mining. ICDM 2019: 1522-1527 - [c143]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu:
Commit Message Generation for Source Code Changes. IJCAI 2019: 3975-3981 - [c142]Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI 2019: 4078-4084 - [c141]Pei Yang, Qi Tan, Hanghang Tong, Jingrui He:
Task-Adversarial Co-Generative Nets. KDD 2019: 1596-1604 - [c140]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS 2019: 3399-3409 - [c139]Rui Zhang, Hanghang Tong:
Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS 2019: 6959-6967 - [c138]Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong:
Spiral of Silence in Recommender Systems. WSDM 2019: 222-230 - [c137]Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad:
Multilevel Network Alignment. WWW 2019: 2344-2354 - [e3]Andrea Tagarelli, Hanghang Tong:
Computational Data and Social Networks - 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18-20, 2019, Proceedings. Lecture Notes in Computer Science 11917, Springer 2019, ISBN 978-3-030-34979-0 [contents] - [i18]Rui Zhang, Luca Giancardo, Danilo A. Pena, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019) - [i17]Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. CoRR abs/1905.06720 (2019) - [i16]Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu:
EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data. CoRR abs/1908.00181 (2019) - [i15]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. CoRR abs/1910.12586 (2019) - 2018
- [b1]Yuan Yao, Xing Su, Hanghang Tong:
Mobile Data Mining. Springer Briefs in Computer Science, Springer 2018, ISBN 978-3-030-02100-9, pp. 1-53 - [j43]Yong Wu, Shengqu Xi, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Guiding supervised topic modeling for content based tag recommendation. Neurocomputing 314: 479-489 (2018) - [j42]Yong Wang, Conglei Shi, Liangyue Li, Hanghang Tong, Huamin Qu:
Visualizing Research Impact through Citation Data. ACM Trans. Interact. Intell. Syst. 8(1): 5:1-5:24 (2018) - [j41]Lei Shi, Hanghang Tong, Madelaine Daianu, Feng Tian, Paul M. Thompson:
Visual Analysis of Brain Networks Using Sparse Regression Models. ACM Trans. Knowl. Discov. Data 12(1): 5:1-5:30 (2018) - [c136]Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
AURORA: Auditing PageRank on Large Graphs. BigData 2018: 713-722 - [c135]Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong:
Local Partition in Rich Graphs. BigData 2018: 1001-1008 - [c134]Zhen Chen, Hanghang Tong, Lei Ying:
Realtime Robustification of Interdependent Networks under Cascading Attacks. BigData 2018: 1347-1356 - [c133]Liangyue Li, Hanghang Tong, Huan Liu:
Towards Explainable Networked Prediction. CIKM 2018: 1819-1822 - [c132]Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong:
X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM 2018: 1959-1962 - [c131]Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski:
Graph Convolutional Networks: Algorithms, Applications and Open Challenges. CSoNet 2018: 79-91 - [c130]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu:
Bug Localization via Supervised Topic Modeling. ICDM 2018: 607-616 - [c129]Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. KDD 2018: 1167-1176 - [c128]Boxin Du, Hanghang Tong:
FASTEN: Fast Sylvester Equation Solver for Graph Mining. KDD 2018: 1339-1347 - [c127]Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu:
Team Expansion in Collaborative Environments. PAKDD (3) 2018: 713-725 - [c126]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
Extra: explaining team recommendation in networks. RecSys 2018: 492-493 - [c125]Jundong Li, Chen Chen, Hanghang Tong, Huan Liu:
Multi-Layered Network Embedding. SDM 2018: 684-692 - [c124]Liangyue Li, Hanghang Tong:
Network Science of Teams: Characterization, Prediction, and Optimization. WSDM 2018: 783-784 - [c123]Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss:
GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. WSDM 2018: 803 - [e2]Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu:
2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. IEEE 2018, ISBN 978-1-5386-9288-2 [contents] - [r3]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i14]Jian Kang, Hanghang Tong, Yinglong Xia, Wei Fan:
AURORA: Auditing PageRank on Large Graphs. CoRR abs/1803.05068 (2018) - [i13]Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia:
Local Partition in Rich Graphs. CoRR abs/1803.05084 (2018) - [i12]Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong:
EXTRA: Explaining Team Recommendation in Networks. CoRR abs/1809.08511 (2018) - 2017
- [j40]Jie Tang, Hanghang Tong, Michalis Vazirgiannis:
Special focus on natural language processing and social computing. Sci. China Inf. Sci. 60(11): 110100:1-110100:2 (2017) - [j39]Chen Chen, Hanghang Tong:
On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms. Stat. Anal. Data Min. 10(2): 121-135 (2017) - [j38]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
On the Measurement and Prediction of Web Content Utility: A Review. SIGKDD Explor. 19(2): 1-12 (2017) - [j37]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 3(1): 2 (2017) - [j36]Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He:
Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective. ACM Trans. Knowl. Discov. Data 11(4): 42:1-42:26 (2017) - [j35]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 29(3): 613-626 (2017) - [j34]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem. IEEE Trans. Knowl. Data Eng. 29(6): 1296-1309 (2017) - [j33]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Scalable Algorithms for CQA Post Voting Prediction. IEEE Trans. Knowl. Data Eng. 29(8): 1723-1736 (2017) - [j32]Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong:
Towards Optimal Connectivity on Multi-Layered Networks. IEEE Trans. Knowl. Data Eng. 29(10): 2332-2346 (2017) - [j31]Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu:
Version-Aware Rating Prediction for Mobile App Recommendation. ACM Trans. Inf. Syst. 35(4): 38:1-38:33 (2017) - [j30]Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens:
Fast and Flexible Top-k Similarity Search on Large Networks. ACM Trans. Inf. Syst. 36(2): 13:1-13:30 (2017) - [j29]Xinsong Yang, Lei Shi, Madelaine Daianu, Hanghang Tong, Qingsong Liu, Paul M. Thompson:
Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation. IEEE Trans. Vis. Comput. Graph. 23(1): 181-190 (2017) - [c122]Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie:
VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease. BIBM 2017: 2177-2182 - [c121]Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong:
Personalized travel mode detection with smartphone sensors. BigData 2017: 1341-1348 - [c120]Fan Du, Nan Cao, Yu-Ru Lin, Panpan Xu, Hanghang Tong:
iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration. CHI 2017: 2916-2927 - [c119]Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
Automatic Navbox Generation by Interpretable Clustering over Linked Entities. CIKM 2017: 1857-1865 - [c118]Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia:
Rapid Analysis of Network Connectivity. CIKM 2017: 2463-2466 - [c117]Hanghang Tong:
Inside the Atoms: Mining a Network of Networks and Beyond. ICDM Workshops 2017: 983 - [c116]Liangyue Li, Hanghang Tong:
Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. ICDM Workshops 2017: 1132-1133 - [c115]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
iNEAT: Incomplete Network Alignment. ICDM 2017: 1189-1194 - [c114]Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler:
Is the Whole Greater Than the Sum of Its Parts? KDD 2017: 295-304 - [c113]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD 2017: 525-534 - [c112]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
A Local Algorithm for Structure-Preserving Graph Cut. KDD 2017: 655-664 - [c111]Boxin Du, Si Zhang, Nan Cao, Hanghang Tong:
FIRST: Fast Interactive Attributed Subgraph Matching. KDD 2017: 1447-1456 - [c110]Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He:
User-guided Cross-domain Sentiment Classification. SDM 2017: 471-479 - [c109]Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong:
HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. SDM 2017: 570-578 - [c108]Robert Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
Visual Graph Query Construction and Refinement. SIGMOD Conference 2017: 1587-1590 - [c107]Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong:
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) 2017: 303-310 - [c106]Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen:
NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) 2017: 505-513 - 2016
- [j28]Jian Pei, Guoliang Li, Hanghang Tong:
Preface. Big Data Res. 5: 1 (2016) - [j27]Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang:
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. 17: 453:1-453:13 (2016) - [j26]Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie:
Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLoS Comput. Biol. 12(10) (2016) - [j25]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data 2(1): 1-2 (2016) - [j24]Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data 2(2): 100 (2016) - [j23]Xing Su, Hernan Caceres, Hanghang Tong, Qing He:
Online Travel Mode Identification Using Smartphones With Battery Saving Considerations. IEEE Trans. Intell. Transp. Syst. 17(10): 2921-2934 (2016) - [j22]Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic:
Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data 10(4): 37:1-37:4 (2016) - [j21]Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos:
Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data 10(4): 49:1-49:30 (2016) - [j20]Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau:
Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. 28(1): 113-126 (2016) - [c105]Robert Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau:
VISAGE: Interactive Visual Graph Querying. AVI 2016: 272-279 - [c104]Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation. CIKM 2016: 2287-2292 - [c103]Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler:
TEAMOPT: Interactive Team Optimization in Big Networks. CIKM 2016: 2485-2487 - [c102]Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang:
BigNet 2016: First Workshop on Big Network Analytics. CIKM 2016: 2505-2506 - [c101]Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu:
ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. CIKM 2016: 2509 - [c100]Yuechang Liu, Hanghang Tong, Xie Lei, Yong Tang:
Network based models and path based features for gene prioritization. CSCWD 2016: 129-132 - [c99]Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, Yang Chen:
TOPIC: Toward perfect Influence Graph Summarization. ICDE 2016: 1074-1085 - [c98]