Publications

[ Google Scholar ]

D. H. Park and Y. Chang. Adversarial Sampling and Training for Semi-Supervised Information Retrieval. Proceedings of WWW 2019. (oral)

D. H. Park, C. M. Ho, Y. Chang, and H. Zhang. Gradient-Coherent Strong Regularization for Deep Neural Networks. arXiv preprint arXiv:1811.08056 (2018).

C. M. Ho, D. H. Park, W. Yang, and Y. Chang. Sequenced-Replacement Sampling for Deep Learning. arXiv preprint arXiv:1810.08322 (2018).

K. Xu, D. H. Park, Y. Chang, and C. Sutton. Interpreting Deep Classifier by Visual Distillation of Dark Knowledge. arXiv preprint arXiv:1803.04042 (2018).

D. H. Park and R. Chiba. A Neural Language Model for Query Auto-Completion. Proceedings of ACM SIGIR 2017. [Data] (short paper)

M. Liu, Y. Fang, A. G. Choulos, D. H. Park, X. Hu. Product Review Summarization through Question Retrieval and Diversification. Information Retrieval Journal. 2017.

S. K. K. Santu, L. Li, D. H. Park, C. Zhai, and Y. Chang. Modeling the Influence of Popular Trending Events on User Search Behavior. Proceedings of World Wide Web Conference 2017 (WWW 2017).

M. Liu, W. Ding, D. H. Park, Y. Fang, R. Yan, and X. Hu. Which Used Product is More Sellable? A Time-Aware Approach. Information Retrieval Journal, 20(2), pp. 81-108. 2017.

D. H. Park. Joint Analysis of User-Generated Content and Product Information to Enhance User Experience in E-commerce. PhD Dissertation, University of Illinois at Urbana-Champaign, 2016.

D. H. Park, Y. Fang, M. Liu, and C. Zhai. Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. Proceedings of ACM CIKM 2016, pp. 959-968, 2016. [Data]

M. Liu, Y. Fang, D. H. Park, X. Hu, and Z. Yu. Retrieving Non-Redundant Questions to Summarize a Product Review. Proceedings of ACM SIGIR 2016, pp. 385-394, 2016.

D. H. Park, M. Liu, C. Zhai, and H. Wang. Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval. Proceedings of ACM SIGIR 2015, pp. 533-542, 2015. [Data]

D. H. Park, H. D. Kim, C. Zhai, and L. Guo. Retrieval of Relevant Opinion Sentences for New Products. Proceedings of ACM SIGIR 2015, pp. 393-402, 2015. [Data]

W. Ding, Y. Shang, D. H. Park, L. Guo, and X. Hu. ProbitUCB: A Novel Method for Review Ranking. Proceedings of PAKDD Workshop on Pattern Mining and Application of Big Data, 2015.

D. H. Park, C. Zhai, and L. Guo. SpecLDA: Modeling Product Reviews and Specifications to Generate Augmented Specifications. Proceedings of the 2015 SIAM International Conference on Data Mining (SDM 2015), pp. 837-845, 2015.

H. D. Kim, D. H. Park, Y. Lu, and C. Zhai. Enriching Text Representation with Frequent Pattern Mining for Probabilistic Topic Modeling. Proceedings of the American Society for Information Science and Technology (ASIS&T), 49(1), 2012.

D. H. Park and C. Blake. Identifying Comparative Claim Sentences in Full-Text Scientific Articles. Proceedings of ACL Workshop on Detecting Structure in Scholarly Discourse, pp. 1-9, 2012.

W. Peng and D. H. Park. Generate Adjective Sentiment Dictionary for Social Media Sentiment Analysis Using Constrained Nonnegative Matrix Factorization. Proceedings of International Conference on Weblogs and Social Media (ICWSM 2011), pp. 273-280, 2011.

H. D. Kim, D. H. Park, V. G. V. Vydiswaran, and C. Zhai. Opinion Summarization Using Entity Features and Probabilistic Sentence Coherence Optimization: UIUC at TAC 2008 Opinion Summarization Pilot. Proceedings of Text Analysis Conference 2008 Workshop (TAC 2008), 2008.

Patents

D. H. Park and M. Liu. Method and System for App Page Recommendation via Inference of Implicit Intent in a User Query. U.S. Patent Application No. 15/154,034.

D. H. Park, M. Liu, and L. Guo. Method and System for App Search Engine Leveraging User Reviews. U.S. Patent Application No. 14/706,631.

D. H. Park, L. Guo, W. Ding, and H. Wang. Method and System for Generating Augmented Product Specifications. U.S. Patent No. 9,817,904. 14 Nov. 2017.

W. Ding, S. Yue, D. H. Park, L. Guo, and H. Wang. Method and System for Ranking Media Contents. U.S. Patent Application No. 14/445,220.

W. Peng and D. H. Park. Systems, methods and devices for generating an adjective sentiment dictionary for social media sentiment analysis. U.S. Patent No. 8,725,495. 13 May 2014.