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Luhy
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*<span style="font-size:large;">June, 2018: Scholarship for Doctoral Studies (2018-2019), HPI, Germany</span>
*<span style="font-size:large;">Oct, 2017: Huawei Scholarship for Ph.D., NJU, China</span>
*<span style="font-size:large;">Sep, 2016: Scholarship for Doctoral Studies(2016-2018), HPI, Germany</span>
*<span style="font-size:large;">May, 2014: Outstanding Undergraduate Student Award, NJU, China</span>
*<span style="font-size:large;">May, 2012: Outstanding Student Cadres in Jiangsu Province, NJU, China</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. [To Appear]</span>
*<span style="font-size:large;">'''Lu H''', Xie L, Kang N, Wang C and Xie J. Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery[C]. In ''Proceedings of '''AAAI-17'''''. San Francisco, USA, 2017: 1192-1198.</span>
*<span style="font-size:large;">Jiang L, '''Lu H''', Xu M and Wang C. Biterm Pseudo Document Topic Model for Short Text[C]. In ''Proceedings of '''ICTAI-16'''''. San Jose, USA, 2016: 865-872.</span>
