Online spam-blog detection through blog search. - Linhong Zhu; Aixin Sun; Byron Choi (CIKM, 2008)

A Uniform Framework for Ad-Hoc Indexes to Answer Reachability Queries on Large Graphs. - Linhong Zhu; Byron Choi; Bingsheng He; Jeffrey Xu Yu; Wee Keong Ng (DASFAA, 2009)

Finding maximal cliques in massive networks by H*-graph. - James Cheng; Yiping Ke; Ada Wai-Chee Fu; Jeffrey Xu Yu; Linhong Zhu (SIGMOD Conference, 2010)

Classifying Graphs Using Theoretical Metrics: A Study of Feasibility. - Linhong Zhu; Wee Keong Ng; Shuguo Han (DASFAA Workshops, 2011)

Detecting spam blogs from blog search results. - Linhong Zhu; Aixin Sun; Byron Choi (Inf. Process. Manag., 2011)

Structure and attribute index for approximate graph matching in large graphs. - Linhong Zhu; Wee Keong Ng; James Cheng (Inf. Syst., 2011)

Finding maximal cliques in massive networks. - James Cheng; Yiping Ke; Ada Wai-Chee Fu; Jeffrey Xu Yu; Linhong Zhu (ACM Trans. Database Syst., 2011)

Efficient methods for querying and mining real-world graph data - Linhong Zhu (2011)

Fast algorithms for maximal clique enumeration with limited memory. - James Cheng; Linhong Zhu; Yiping Ke; Shumo Chu (KDD, 2012)

Graph-based informative-sentence selection for opinion summarization. - Linhong Zhu; Sheng Gao; Sinno Jialin Pan; Haizhou Li 001; Dingxiong Deng; Cyrus Shahabi (ASONAM, 2013)

The Role of Social Media in the Discussion of Controversial Topics. - Laura M. Smith; Linhong Zhu; Kristina Lerman; Zornitsa Kozareva (SocialCom, 2013)

Tripartite graph clustering for dynamic sentiment analysis on social media. - Linhong Zhu; Aram Galstyan; James Cheng; Kristina Lerman (SIGMOD Conference, 2014)

Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization. - Linhong Zhu; Greg Ver Steeg; Aram Galstyan (CoRR, 2014)

Task matching and scheduling for multiple workers in spatial crowdsourcing. - Dingxiong Deng; Cyrus Shahabi; Linhong Zhu (SIGSPATIAL/GIS, 2015)

The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection. - Linhong Zhu; Sheng Gao; Sinno Jialin Pan; Haizhou Li 001; Dingxiong Deng; Cyrus Shahabi (Recommendation and Search in Social Networks, 2015)

Modeling Concept Dependencies in a Scientific Corpus. - Jonathan Gordon 001; Linhong Zhu; Aram Galstyan; Prem Natarajan; Gully Burns (ACL (1), 2016)

Latent Space Model for Road Networks to Predict Time-Varying Traffic. - Dingxiong Deng; Cyrus Shahabi; Ugur Demiryurek; Linhong Zhu; Rose Yu; Yan Liu 002 (KDD, 2016)

Temporal learning and sequence modeling for a job recommender system. - Kuan Liu; Xing Shi; Anoop Kumar; Linhong Zhu; Prem Natarajan (RecSys Challenge, 2016)

Unsupervised Entity Resolution on Multi-type Graphs. - Linhong Zhu; Majid Ghasemi-Gol; Pedro A. Szekely; Aram Galstyan; Craig A. Knoblock (ISWC (1), 2016)

The DARPA Twitter Bot Challenge. - V. S. Subrahmanian; Amos Azaria; Skylar Durst; Vadim Kagan; Aram Galstyan; Kristina Lerman; Linhong Zhu; Emilio Ferrara; Alessandro Flammini; Filippo Menczer (Computer, 2016)

The DARPA Twitter Bot Challenge. - 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; et al. (CoRR, 2016)

Attention Inequality in Social Media. - Linhong Zhu; Kristina Lerman (CoRR, 2016)

Task selection in spatial crowdsourcing from worker's perspective. - Dingxiong Deng; Cyrus Shahabi; Ugur Demiryurek; Linhong Zhu (GeoInformatica, 2016)

Partitioning Networks with Node Attributes by Compressing Information Flow. - Laura M. Smith; Linhong Zhu; Kristina Lerman; Allon G. Percus (ACM Trans. Knowl. Discov. Data, 2016)

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. - Linhong Zhu; Dong Guo; Junming Yin; Greg Ver Steeg; Aram Galstyan (IEEE Trans. Knowl. Data Eng., 2016)

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract). - Linhong Zhu; Dong Guo; Junming Yin; Greg Ver Steeg; Aram Galstyan (ICDE, 2017)

Situation Aware Multi-task Learning for Traffic Prediction. - Dingxiong Deng; Cyrus Shahabi; Ugur Demiryurek; Linhong Zhu (ICDM, 2017)

Demystifying Core Ranking in Pinterest Image Search. - Linhong Zhu (CoRR, 2018)

Coupled Clustering of Time-Series and Networks. - Yike Liu; Linhong Zhu; Pedro A. Szekely; Aram Galstyan; Danai Koutra (SDM, 2019)

Deep Reinforcement Learning for Personalized Search Story Recommendation. - Jason Zhang; Junming Yin; Dongwon Lee 001; Linhong Zhu (CoRR, 2019)

Label Propagation on K-Partite Graphs with Heterophily. - Dingxiong Deng; Fan Bai 001; Yiqi Tang; Shuigeng Zhou; Cyrus Shahabi; Linhong Zhu (IEEE Trans. Knowl. Data Eng., 2021)