2012

• [19] Finding the Right Consumer: Optimizing for Conversion in Display Advertising Campaigns,
  Yandong Liu, Sandeep Pandey, Deepak Agarwal and Vanja Josifovski
  The 5th ACM International Conference on Web Search and Data Mining (WSDM 2012)

2011

• [18] Detecting previously unseen outbreaks with novel symptom patterns.
  Yandong Liu and Daniel B. Neill.
  2011 International Society for Disease Surveillance (ISDS 2011)
• [17] A Generalized Fast Subset Sums Framework for Bayesian Event Detection.
  Kan Shao, Yandong Liu, and Daniel B. Neill.
  The 11th IEEE International Conference on Data Mining (ICDM 2011).
• [16] Effects of Community Size and Contact Rate in Synchronous Social Q&A (Best Paper Award)
  Ryen W. White, Matthew Richardson, and Yandong Liu
  ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2011)

2010

• [15] Generalized Fast Subset Sums for Bayesian Detection and Visualization
  D. Neill, Y. Liu
  2010 International Society for Disease Surveillance (ISDS 2010)
• [14] Efficient Relational Learning with Hidden Variable Detection
  Ni Lao, Jun Zhu, Liu Liu, Yandong Liu, William W. Cohen
  The 24th Neural Information Processing Systems (NIPS 2010 )
  
• [13] Collaborative Question Answering from the Answerers Perspective: Exploring Answerer Context in Question Recommendation (poster)
  Q. Liu, Y. Liu and E. Agichtein.
  Third Annual Workshop on Search in Social Media (SSM 2010).
  
• [12] Exploring Web Browsing Context for Collaborative Question Answering.
  Q. Liu, Y. Liu, E. Agichtein
  Information Interaction in Context Symposium (IIiX 2010)

2009

• [11] Is This Urgent? Exploring Time-Sensitive Information Needs in Community Question Answering (Poster)
  Y. Liu, N. Narasimhan, V. Vasudevan and E. Agichtein
  The 31st Annual International ACM SIGIR Conference (SIGIR 2009)
• [10] Learning to Recognize Reliable Users and Content in Social Media with Coupled Mutual Reinforcement
  J. Bian, Y. Liu, D. Zhou, E. Agichtein, and H. Zha,
  The 18th International World Wide Web Conference (WWW 2009, 12%)
• [9] Modeling Information Seeker Satisfaction in Community Question Answering
  E. Agichtein, Y. Liu and J. Bian
  ACM Transactions on Knowledge Discovery from Data (TKDD), 2009

2008

• [8] CoCQA: Co-Training Over Questions and Answers with an Application to Predicting Question Subjectivity Orientation
  Baoli Li, Y. Liu and Eugene Agichtein,
  Conference on Empirical Methods in Natural Language Processing (EMNLP 2008, 21%)
• [7] Predicting Information Seeker Satisfaction in Community Question Answering
  Y. Liu, J. Bian, E. Agichtein
  The 31st Annual International ACM SIGIR Conference (SIGIR 2008, 17%)
• [6] You've Got Answers: Towards Personalized Models for Predicting Success in Community Question Answering
  Y. Liu, E. Agichtein
  The 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-08:HLT, 25%)
• [5] Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media
  J. Bian, Y. Liu, E. Agichtein and H. Zha:
  The 17th International World Wide Web Conference (WWW 2008, 11%)
• [4] A Few Bad Votes Too Many? Towards Robust Ranking in Social Media
  J. Bian, Y. Liu, E. Agichtein and H. Zha:
  The 4th International Workshop on Adversarial Information Retrieval on the Web (AIRWeb 2008)
• [3] On the Evolution of the Yahoo! Answers QA Community (Poster)
  Y. Liu, E. Agichtein
  The 31st Annual International ACM SIGIR Conference (SIGIR 2008)
• [2] Subjectivity Analysis for Questions in QA Communities (Poster)
  B. Li, Y. Liu, A. Ram, E. V. Garcia, E. Agichtein
  The 31st Annual International ACM SIGIR Conference (SIGIR 2008)
• [1] Combing Semantic and Lexical Evidence for Recognizing Textual Entailment (RTE4) Task.
  E. Agichtein, W. Askew, Y. Liu (TAC 2008)