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Linhong Zhu
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2020 – today
- 2021
- [j8]Dingxiong Deng
, Fan Bai, Yiqi Tang, Shuigeng Zhou
Label Propagation on K-Partite Graphs with Heterophily. IEEE Trans. Knowl. Data Eng. 33(3): 1064-1077 (2021)
2010 – 2019
- 2019
- [c16]Yike Liu, Linhong Zhu, Pedro A. Szekely
Coupled Clustering of Time-Series and Networks. SDM 2019: 531-539 - [i10]Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu:
Deep Reinforcement Learning for Personalized Search Story Recommendation. CoRR abs/1907.11754 (2019) - 2018
- [i9]Linhong Zhu:
Demystifying Core Ranking in Pinterest Image Search. CoRR abs/1803.09799 (2018) - 2017
- [c15]Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan:
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract). ICDE 2017: 57-58 - [c14]Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu:
Situation Aware Multi-task Learning for Traffic Prediction. ICDM 2017: 81-90 - [i8]Dingxiong Deng, Fan Bai, Yiqi Tang, Shuigeng Zhou, Cyrus Shahabi, Linhong Zhu:
Label Propagation on K-partite Graphs with Heterophily. CoRR abs/1701.06075 (2017) - 2016
- [j7]V. S. Subrahmanian, Amos Azaria
The DARPA Twitter Bot Challenge. Computer 49(6): 38-46 (2016) - [j6]Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu:
Task selection in spatial crowdsourcing from worker's perspective. GeoInformatica 20(3): 529-568 (2016) - [j5]Laura M. Smith, Linhong Zhu, Kristina Lerman, Allon G. Percus:
Partitioning Networks with Node Attributes by Compressing Information Flow. ACM Trans. Knowl. Discov. Data 11(2): 15:1-15:26 (2016) - [j4]Linhong Zhu
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 28(10): 2765-2777 (2016) - [c13]Jonathan Gordon, Linhong Zhu, Aram Galstyan, Prem Natarajan
Modeling Concept Dependencies in a Scientific Corpus. ACL (1) 2016 - [c12]Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu:
Latent Space Model for Road Networks to Predict Time-Varying Traffic. KDD 2016: 1525-1534 - [c11]Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan:
Temporal learning and sequence modeling for a job recommender system. RecSys Challenge 2016: 7:1-7:4 - [c10]Linhong Zhu, Majid Ghasemi-Gol, Pedro A. Szekely
Unsupervised Entity Resolution on Multi-type Graphs. ISWC (1) 2016: 649-667 - [i7]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang:
The DARPA Twitter Bot Challenge. CoRR abs/1601.05140 (2016) - [i6]Linhong Zhu, Kristina Lerman:
Attention Inequality in Social Media. CoRR abs/1601.07200 (2016) - [i5]Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek, Linhong Zhu, Rose Yu, Yan Liu:
Latent Space Model for Road Networks to Predict Time-Varying Traffic. CoRR abs/1602.04301 (2016) - [i4]Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan:
Temporal Learning and Sequence Modeling for a Job Recommender System. CoRR abs/1608.03333 (2016) - 2015
- [c9]Dingxiong Deng, Cyrus Shahabi, Linhong Zhu:
Task matching and scheduling for multiple workers in spatial crowdsourcing. SIGSPATIAL/GIS 2015: 21:1-21:10 - [p1]Linhong Zhu, Sheng Gao, Sinno Jialin Pan
The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection. Recommendation and Search in Social Networks 2015: 165-187 - 2014
- [c8]Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman:
Tripartite graph clustering for dynamic sentiment analysis on social media. SIGMOD Conference 2014: 1531-1542 - [i3]Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman:
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media. CoRR abs/1402.6010 (2014) - [i2]Laura M. Smith, Linhong Zhu, Kristina Lerman
Partitioning Networks with Node Attributes by Compressing Information Flow. CoRR abs/1405.4332 (2014) - [i1]Linhong Zhu, Greg Ver Steeg, Aram Galstyan:
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization. CoRR abs/1411.3675 (2014) - 2013
- [c7]Linhong Zhu, Sheng Gao, Sinno Jialin Pan
Graph-based informative-sentence selection for opinion summarization. ASONAM 2013: 408-412 - [c6]Laura M. Smith, Linhong Zhu, Kristina Lerman, Zornitsa Kozareva:
The Role of Social Media in the Discussion of Controversial Topics. SocialCom 2013: 236-243 - 2012
- [c5]James Cheng, Linhong Zhu, Yiping Ke
Fast algorithms for maximal clique enumeration with limited memory. KDD 2012: 1240-1248 - 2011
- [b1]Linhong Zhu:
Efficient methods for querying and mining real-world graph data. Nanyang Technological University, Singapore, 2011 - [j3]Linhong Zhu, Aixin Sun
Detecting spam blogs from blog search results. Inf. Process. Manag. 47(2): 246-262 (2011) - [j2]Linhong Zhu, Wee Keong Ng
Structure and attribute index for approximate graph matching in large graphs. Inf. Syst. 36(6): 958-972 (2011) - [j1]James Cheng, Yiping Ke
Finding maximal cliques in massive networks. ACM Trans. Database Syst. 36(4): 21:1-21:34 (2011) - [c4]Linhong Zhu, Wee Keong Ng, Shuguo Han:
Classifying Graphs Using Theoretical Metrics: A Study of Feasibility. DASFAA Workshops 2011: 53-64 - 2010
- [c3]James Cheng, Yiping Ke
Finding maximal cliques in massive networks by H*-graph. SIGMOD Conference 2010: 447-458
2000 – 2009
- 2009
- [c2]Linhong Zhu, Byron Choi, Bingsheng He
A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs. DASFAA 2009: 138-152 - 2008
- [c1]Linhong Zhu, Aixin Sun
Online spam-blog detection through blog search. CIKM 2008: 1347-1348
Coauthor Index
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