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*<span style="font-size:large;">'''Lu H''', Ge G, Li Y, Wang C, Xie J. Exploiting Global Semantic Similarity </span><span style="font-size:large;">Biterms</span><span style="font-size:large;">for Bitermsfor Short-text Topic Discovery[C]. In ''Proceedings of ''''ICTAI-18''. Volos. Greece, 2018. [Accepted]</span> *<span style="font-size:large;">Du Y, Chen Q, '''Lu H''', Wang C. Online Single Homogeneous Source Transfer Learning Based on AdaBoost. In ''Proceedings of ''''ICTAI-18''. Volos. Greece, 2018. [Accepted]</span> *<span style="font-size:large;">'''Lu H''', Li Y, Tang C, Wang C, Xie J. Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C]. In ''Proceedings of ''''ICONIP-18''. Siem Reap. Cambodia, 2018. [Accepted]</span>
*<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]. '''''Intelligent Data Analysis''''', 2019, 23(2). [To Appear]</span>
*<span style="font-size:large;">Xie L, Wang L, '''Lu H''', Li N, Wang C. Topics may Evolve: Using Complaint Date for Analysis[C]. In ''Proceedings of '''ICTAI-17'''''. Boston, MA. USA, 2017: 1296-1303.</span>
