Publications in 2018

-updating in progress-

Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang. “Learning Deep Network Representations with Adversarially Regularized Autoencoders.” In proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 2018.

Seunhyun Yoo, Seungbae Kim, Joshua Joy, Mario Gerla. “Promoting Cooperative Strategies on Proof-of-Work Blockchain,” International Joint Conference on Neural Networks (IJCNN), July 2018.

Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang and Kai Wei Chang. “Learning Gender-Neutral Word Embeddings” In proceedings of The 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018.

Sara Melvin, Jonathan Lin, Seungbae Kim, Mario Gerla. “Hitchhiker: A Wireless Routing Protocol in a Delay Tolerant Network Using Density-Based Clustering” IEEE 88th Vehicular Technology Conference (VTC-Fall) Chicago, August 2018.

Nicholas J. Martiasz, Justin Wood, Pranay Doshi, William Speier, Barry Beckemeyer, Wei Wang, William Hsu, Alcino J. Silva. “ for integrating and planning research.” PLOS One 13:e0195271

Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T Ju, Cheryl Flynn, Wen-Ling Hsu, Jia Wang, Wei Wang and Tan Xu. “Enhancing Response Generation Using Chat Flow Identification.” In Conventional AI and Its Applications Workshop at KDD 2018.

Jyun-Yu Jiang and Wei Wang. RIN: “Reformulation Inference Network for Context-Aware Query Suggestions.” In proceedings of The 27th ACM International Conference on Information and Knowledge Management, ACM 2018.

Jyun-Yu Jiang, Cheng-Te Li, Yian Chen and Wei Wang. “Identifying Users behind Shared Accounts in Online Streaming Services.” In proceedings of The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, (SIGIR’ 18), ACM 2018.

Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T Ju, and Wei Wang. “Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks.” In proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM’18), IEEE 2018.

Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen and Wei Wang. “Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking.” In proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL’ 18), ACL 2018.

Nathan LaPierre, Serghei Mangul, Mohammad Alser, Igor Mandric, Nicholas C. Wu, David Koslicki, and Eleazer Eskin. “MiCoP: Microbial Community Profiling method capable of detecting low abundance viral and fungal organisms in metagenomic samples.bioRxiv, pp. 243188, Jan 2018.

Nathan LaPierre, Rob Egan, Wei Wang and Zhong Wang. “MiniScrub: De Novo long read scrubbing using approximate alignment and deep learning.” bioRxiv, pp. 433573, Oct 2018.

Chao Zhang, Fanbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian Sadler, Michelle Vanni and Jaiwei Han. “TaxonGen: Constructing Topical Concept Taxonomy by Adaptive Term Embedding and Clustering. ” In proceedings of The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), oral 2018.

Fangbo Tao*, Chao Zhang*, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance Kaplan and Jiawei Han. “Doc2Cube: Automated Document Allocation to Text Cube via Dimension-Aware Joint Embedding.” In proceedings of The 17th IEEE International Conference on Data Mining (ICDM), oral 2018.

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