Publications

M. Yamada, J.Tang, J. Lugo-Martinez, E. Hodzic, R. Shrestha, A. Saha, H. Ouyang, D. Yin, H. Mamitsuka, C. Sahinalp, P. Radivojac, F. Menczer, Y. Chang. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. In IEEE Transactions on Knowledge and Data Engineering, 2018.

Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao and Dawei Yin. Hierarchical Variational Memory Network for Dialogue Generation. In Proceedings of the 27th International World Wide Web Conference (WWW 2018), Lyon, France, 2018.

Hongshen Chen,Xiaorui Liu, Dawei Yin and Jiliang Tang. A Survey on Dialogue Systems: Recent Advances and New Frontiers. SIGKDD Explorations, 2018

Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin. Micro Behaviors: A New Perspective in E-commerce Recommender Systems, In Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, California, USA, 2018.

Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin. Multidimensional network embedding with hierarchical structures, In Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, California, USA, 2018.

Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin. A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce, In Proceedings of the 11th ACM Conference on Web Search and Data Mining (WSDM 2018), Los Angeles, California, USA, 2018. [Best Student Paper Award]

Zhiwei Wang, Tyler Derr, Dawei Yin and Jiliang Tang. Understanding and Predicting Weight Loss with Mobile Social Networking Data. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM2017), 2017

Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, and Yi Chang, Large-scale Location Prediction for Web Pages. In IEEE Trans on Knowledge and Data Engineering (TKDE), 2017.

Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark Hasegawa- Johnson, Thomas S. Huang. Streaming Recommender Systems, In Proceedings of the 26th International World Wide Web Conference (WWW 2017), Perth, Australia, Apr. 2017.

Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin and Yi Chang. Learning to rewrite queries, In Proceedings of 25th ACM Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, USA, Oct. 2016.

Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang. Ranking Relevance in Yahoo Search. In Proceedings of the 22nd annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2016), San Francisco, CA, USA, Aug. 2016. [Best Paper Award]

Shiyu Chang, Yang Zhang , Jiliang Tang, Dawei Yin, Yi Chang. Mark Hasegawa-Johnson, Thomas S. Huang. Positive-Unlabeled Learning in Streaming Networks. In Proceedings of the 22nd annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2016), San Francisco, CA, USA, Aug. 2016.

Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, and Yan Liu. Timeline Summarization with Life Cycle Models. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York, USA, July, 2016.

Neil O’Hare, Paloma De Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang. Leveraging User Interaction Signals for Web Image Search. In Proceedings of the 39th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Tuscany, Italy, July, 2016.

Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly, Dawei Yin, Yi Chang. Learning Query and Document Relevance from Web-scale Click Graph. In Proceedings of the 39th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Tuscany, Italy, July, 2016.

Jiliang Tang , SuhangWang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang and Huan Liu. Recommendation with Social Dimensions, In the 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona USA, Feb 2016.

Yue Wang, Dawei Yin, Jie Luo, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei, Beyond Ranking: Optimizing Whole-Page Presentation In Proceedings of the 9th ACM Conference on Web Search and Data Mining (WSDM 2016), San Francisco, US, Feb 2016. [Best Paper Award]

Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang, Learning to rank related entities in web search. In Neurocomputing.

Zaihan Yang, Liangjie Hong, Dawei Yin, and Brian D. Davison, Ranking Authors with Learning-to-Rank Topic Modeling. In International Journal of Innovative Computing, Information and Control.

Pengyuan Wang, Dawei Yin, Marsha Meytlis, Jian Yang, Yi Chang, Rethink Targeting: Detect ‘Smart Cheating’ in Online Advertising through Causal Inference, in Proceedings of the 24th International World Wide Web Conference (WWW 2015), Florence, Italy, May 2015.

Pengyuan Wang, Wei Sun and Dawei Yin, What Size Should A Mobile Ad Be?, In Proceedings of the 1st Workshop on Offline and Online Evaluation of Web-based Services at WWW 2015. Florence, Italy, May 2015.

Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang, Consistent Collective Matrix Completion under Joint Low Rank Structure, In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS2015), San Diego, CA, USA, April 9-12 2015. Preliminary version

Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang and Yi Chang, Causal Inference via Sparse Additive Models with Application to Online Advertising, In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, Texas, USA, Jan 2015.

Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang and Yi Chang, Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. In Proceedings of the 8th ACM Conference on Web Search and Data Mining (WSDM 2015), Shanghai, China, Feb 2015.

Zaihan Yang, Dawei Yin, Brian D. Davison, Recommendations in Academia: a Joint Multi-Relational Model. In Proceedings of 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2014), Beijing, China, 2014.

Dawei Yin*, Shike Mei*, Bin Cao, Jian-Tao Sun, Brian D. Davison, Exploiting Contextual Factors for Click Modeling in Sponsored Search. In Proceedings of the 7th ACM Conference on Web Search and Data Mining (WSDM 2014), New York, USA, Feb 2014. [* Equal contribution]

Dawei Yin, Bin Cao, Jian-Tao Sun, Brian D. Davison, Estimating Ad Group Performance in Sponsored Search. In Proceedings of the 7th ACM Conference on Web Search and Data Mining (WSDM 2014), New York, USA, Feb 2014.

Dawei Yin, Prediction and Recommendation in Online Media. Doctoral Dissertation, Department of Computer Science and Engineering, Lehigh University, August 2013.

Guillaume Bouchard, Shengbo Guo and Dawei YinConvex Collective Matrix Factorization. To appear in Proceedings of the 16th International Conference on Artificial Intelligence and Statistics (AISTATS 2013), Scottsdale, AZ, USA.

Dawei Yin, S. Guo, B. Chidlovskii, B. Davison, C. Archambeau and G. Bouchard, Connecting Comments and Tags: Improved Modeling of Social Tagging Systems. In Proceedings of 6th ACM Conference on Web Search and Data Mining (WSDM 2013), Rome, Italy, Feb 2013. [Supplement Materials]

Dawei Yin, Liangjie Hong and Brian D. Davison, Structural Link Analysis and Prediction in MicroBlogs. In Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Glasgow, Scotland, UK, October 2011.

Liangjie Hong, Dawei Yin, Jian Guo and Brian D. Davison. Tracking Trends: Incorporate Volume into Temporal Topic Models. In Proceedings of the 17th Annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, 2011.

Dawei Yin, Liangjie Hong, Zhenzhen Xue and Brian D. Davison, Temporal Dynamics of User Interests in Tagging Systems. In Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2011), San Francisco, USA, 2011.

Zhenzhen Xue, Dawei Yin and Brian D. Davison. Normalizing Microtext. In Proceedings of the AAAI-11 Workshop on Analyzing Microtext, San Francisco, USA, 2011.

Dawei Yin, Liangjie Hong, Xiong Xiong and Brian D. Davison, Link Formation Analysis in MicroBlogs. In Proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China, July, 2011.

Zaihan Yang, Dawei Yin and Brian Davison, Award Prediction with Temporal Citation Network Analysis. In Proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China, July, 2011.

Dawei Yin, Liangjie Hong and Brian D. Davison. Exploiting Session-like Behaviors in Tag Prediction. In Proceedings of the 20th International World Wide Web Conference (WWW 2011), Hyderabad, India, March 2011.

Xiaoguang Qi, Dawei Yin, Zhenzhen Xue and Brian D. Davison. (2010) Choosing Your Own Adventure: Automatic Taxonomy Generation to Permit Many Paths. In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM2010), Toronto, Canada, October 2010. 

Xiaoguang Qi, Dawei Yin, Zhenzhen Xue and Brian D. Davison, Enhancing Taxonomies by Providing Many Paths. Technical Report LU-CSE-10-005, Dept. of Computer Science and Engineering, Lehigh , 2010

Dawei Yin, Zhenzhen Xue, Liangjie Hong and Brian D. Davison. A Probabilistic Model for Personalized Tag Prediction. In Proceedings of the 16th annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2010), Washington, DC, July 2010.

Dawei Yin, Chang An, Henry S. Baird. Imbalance and Concentration in k-NN Classification. In Proceedings of IAPR 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, August 2010.

Chang An, Dawei Yin, Henry S. Baird. Document Segmentation using Pixel-Accurate Ground Truth.  In Proceedings of IAPR 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, August 2010.

Dawei Yin, Chang An and Henry S. Baird. Safely Selecting Subsets of Training Data. In Proceedings of IAPR 9th International Workshop on Document Analysis Systems (DAS 2010), Boston, MA, June 2010.

Dawei Yin, Henry S. Baird and Chang An. (2010) Time and Space Optimization of Document Content Classiers. In Proceedings of IS&T/SPIE Document Recognition and Retrieval Conf. (DR&R XVII), San Jose, CA, January 17-21, 2010.

Dawei Yin, Zhenzhen Xue, Xiaoguang Qi and Brian D. Davison. (2009) Diversifying Search Results with Popular Subtopics. In Proceedings of the 18th Text REtrieval Conference (TREC 2009), Gaithersburg, MD: NIST, November 2009.

Dawei Yin, Zhenzhen Xue, Liangjie Hong, B. D. Davison, A. Kontostathis, and L.Edwards. (2009) Detection of Harassment on Web 2.0. In Proceedings of the Content Analysis in the WEB 2.0 (CAW2.0) Workshop at WWW2009, Madrid, Spain,April 2009.

Xin Han, He Guo, Dawei Yin and Yong Zhang. (2009) A note on on-line broadcast scheduling with deadlines. Information Processing Letters, Volume 109 Issue 3, January 2009