Selected Publications

2019

  • Takanobu Ryuichi, Tianyang Zhang, Jiexi Liu, Minlie Huang.
    A Hierarchical Framework for Relation Extraction with Reinforcement Learning AAAI 2019, Honolulu, Hawaii, USA
    [pdf] [code in github] [bib]
  • Zhouxing Shi, Minlie Huang.
    A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues AAAI 2019, Honolulu, Hawaii, USA
    [bib]
  • Jun Feng, Minlie Huang, Yijie Zhang, Yang Yang, Xiaoyan Zhu.
    Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning. arXiv preprint arXiv:1811.01237
    [pdf] [bib]
  • Jian Guan, Yansen Wang, Minlie Huang.
    Story Ending Generation with Incremental Encoding and Commonsense Knowledge. AAAI 2019, Honolulu, Hawaii, USA
    [pdf] [code in github] [bib]

2018

  • Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu.
    Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. WWW 2018 ,Lyon, France.
    [pdf] [bib]
  • Tianyang Zhang, Minlie Huang, Li Zhao.
    Learning Structured Representation for Text Classification via Reinforcement Learning. AAAI 2018, New Orleans, Louisiana, USA.
    [pdf] [code in github] [code here] [bib]
  • Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu.
    Reinforcement Learning for Relation Classification from Noisy Data. AAAI 2018, New Orleans, Louisiana, USA.
    [pdf] [code in github] [code here] [bib]
  • Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang.
    Augmenting End-to-End Dialog Systems with Commonsense Knowledge. AAAI 2018, New Orleans, Louisiana, USA.
    [pdf] [bib]
  • Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu.
    Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018, New Orleans, Louisiana, USA.
    [pdf] [code in github] [code here] [bib]
  • Shiyao Wang, Minlie Huang, Zhidong Deng.
    Densely Connected CNN with Multi-scale Feature Attention for Text Classification. IJCAI-ECAI 2018, Stockholm, Sweden.
    [pdf] [code in github] [bib]
  • Hao Zhou, Tom Yang, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu.
    Commonsense Knowledge Aware Conversation Generation with Graph Attention. IJCAI-ECAI 2018, Stockholm, Sweden. [IJCAI2018 Distinguished Paper]
    [pdf] [code in github] [bib]
  • Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Fenglin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie
    A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. IJCAI-ECAI 2018, Stockholm, Sweden.
    [pdf] [code in github] [bib]
  • Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie.
    Chat More: Deepening and Widening the Chatting Topic via A Deep Model. SIGIR 2018, Ann Arbor, Michigan, USA.
    [pdf] [bib]
  • Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu.
    Assigning personality/identity to a chatting machine for coherent conversation generation. IJCAI-ECAI 2018, Stockholm, Sweden.
    [pdf] [bib]
  • Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu.
    Generating Informative Responses with Controlled Sentence Function. ACL 2018, Melbourne, Australia.
    [pdf] [code in github] [bib]
  • Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie.
    Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. ACL 2018, Melbourne, Australia.
    [pdf] [code in github] [bib]
  • Mantong Zhou, Minlie Huang and Xiaoyan Zhu.
    An Interpretable Reasoning Network for Multi-Relation Question Answering. COLING 2018, Santa Fe, New Mexico, USA.
    [pdf] [bib]
  • Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu.
    An Operation Network for Abstractive Sentence Compression. COLING 2018, Santa Fe, New Mexico, USA.
    [pdf] [bib]

2017

  • Qiao Qian, Minlie Huang, Jinhao Lei, Xiaoyan Zhu.
    Linguistically Regularized LSTMs for Sentiment Classification. ACL 2017.
    [pdf] [code here] [bib]
  • Minlie Huang, Qiao Qian, Xiaoyan Zhu.
    Encoding Syntactic Knowledge in Neural Networks for Sentiment Classification. ACM Trans. Inf. Syst. 35, 3, Article 26 (June 2017), 27 pages.
    [pdf] [bib]
  • Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu.
    SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. AAAI 2017. February 4–9, San Francisco, US.
    [pdf] [code in github] [code here] [bib]

2016

  • Minlie Huang, Yujie Cao, Chao Dong.
    Modeling Rich Contexts for Sentiment Classification with LSTM. arXiv preprint arXiv:1605.01478, 2016.
    [pdf] [bib]
  • Yequan Wang, Minlie Huang, Li Zhao, Xiaoyan Zhu.
    Attention-based LSTM for Aspect-level Sentiment Classification. EMNLP 2016, Austin, Texas, USA.
    [pdf] [code here] [bib]
  • Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu.
    GAKE: Graph Aware Knowledge Embedding. COLING 2016, Osaka, Japan.
    [pdf] [code in github] [code here] [bib]
  • Hao Zhou, Minlie Huang, Xiaoyan Zhu.
    Context-aware natural language generation for spoken dialogue systems. COLING 2016, Osaka, Japan.
    [pdf] [bib]
  • Naitong Yu, Minlie Huang, Yuanyuan Shi, Xiaoyan Zhu.
    Product Review Summarization by Exploiting Phrase Properties. COLING 2016, Osaka, Japan.
    [pdf] [bib]
  • Biao Liu, Minlie Huang, Song Liu, Xuan Zhu, Xiaoyan Zhu.
    A Sentence Interaction Network for Modeling Dependence between Sentences. ACL 2016, Berlin, Germany.
    [pdf] [code here] [bib]
  • Han Xiao, Minlie Huang, Xiaoyan Zhu.
    TransG : A Generative Model for Knowledge Graph Embedding. ACL 2016, Berlin, Germany.
    [pdf] [code in github] [code here] [bib]
  • Han Xiao, Minlie Huang, Xiaoyan Zhu.
    From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction. IJCAI 2016, New York, USA.
    [pdf] [code in github] [code here] [bib]
  • Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu.
    Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint. AAAI 2016, Phoenix, Arizona, USA.
    [pdf] [bib]

2015

  • Qiao Qian, Bo Tian, Minlie Huang, Yang Liu, Xuan Zhu, Xiaoyan Zhu.
    Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network. ACL 2015, Beijing, China.
    [pdf] [bib]
  • Biao Liu, Minlie Huang, Jiashen Sun, Xuan Zhu.
    Incorporating Domain and Sentiment Supervision in Representation Learning for Domain Adaptation. IJCAI 2015, July 25-31Buenos Aires, Argentina.
    [pdf] [bib]
  • Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu.
    Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. CIKM 2015, Oct 19-23, Melbourne, Australia.
    [pdf] [bib]

2014

  • Li Zhao, Minlie Huang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu.
    Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency. EMNLP 2014, October 25–29, 2014 — Doha, Qatar.
    [pdf] [bib]
  • Lei Fang, Qiao Qian, Minlie Huang, Xiaoyan Zhu.
    Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition. CIKM 2014. Nov 3-7, 2014, Shanghai, China.
    [pdf] [bib]
  • Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma.
    Estimating feature ratings through an effective review selection approach. Knowl. Inf. Syst. 38(2): 419-446 (2014).
    [pdf] [bib]
  • Minlie Huang, Borui Ye, Yichen Wang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu.
    New Word Detection for Sentiment Analysis. ACL 2014, June 23-25. Baltimore, Maryland, USA.
    [pdf] [bib]

2013 & Before

  • Lei Fang, Minlie Huang, Xiaoyan Zhu.
    Exploring weakly supervised latent sentiment explanations for aspect-level review analysis. CIKM 2013: 1057-1066.
    [pdf] [bib]
  • Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu.
    Finding Nuggets in IP Portfolios: Core Patent Mining through Textual Temporal Analysis. CIKM 2012 Hawaii, USA.
    [pdf] [bib]
  • Lei Fang, Minlie Huang.
    Fine Granular Aspect Analysis using Latent Structural Models. ACL 2012, July 8-14, Jeju, Republic of Korea.
    [pdf] [bib]
  • Minlie Huang, Xing Shi, Feng Jin, Xiaoyan Zhu.
    Using First-order Logic to Compress Sentences. AAAI 2012, Toronto, Ontario, Canada.
    [pdf] [bib]
  • Minlie Huang, Yi Yang, Xiaoyan Zhu.
    Quality-biased Ranking of Short Texts in Microblogging Services. IJCNLP 2011. Thailand, Nov. 8-13.
    [pdf] [bib]
  • Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu.
    Generating Breakpoint-based Timeline Overview for News Topic Retrospection. ICDM, Vancouver, Canada, Dec.2011.
    [pdf] [bib]
  • Minlie Huang, Aurelie Neveol, Zhiyong Lu.
    Recommending MeSH Terms for Annotating Biomedical Articles. JAMIA 2011.
    [pdf] [bib]
  • Minlie Huang, Jingchen Liu, Xiaoyan Zhu.
    GeneTUKit: a software for document-level gene normalization. Bioinformatics 2011 : btr042v1-btr042.
    [pdf] [bib]
  • Fangtao Li, Minlie Huang, Yi Yang, Xiaoyan Zhu.
    Learning to Identify Review Spam. IJCAI 2011.
    [pdf] [bib]
  • Mattia Tomasoni, Minlie Huang.
    Metadata-Aware Measures for Answer Summarization in Community Question Answering. ACL 2010, July 11–16, 2010. Uppsala, Sweden.
    [pdf] [bib]
  • Fangtao Li, Minlie Huang, Xiaoyan Zhu.
    Sentiment Analysis with Global Topics and Local Dependency. AAAI 2010, July 11–15, 2010. Atlanta, Georgia, USA.
    [pdf] [bib]
  • Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li.
    Multi-Document Summarization by Information Distance. IEEE International Conference on Data Mining 2009, 6-9 December, Miami, Florida,USA.
    [pdf] [bib]
  • Fangtao Li, Yang Tang, Minlie Huang, Xiaoyan Zhu.
    Answering Opinion Questions with Random Walks on Graphs. ACL 2009, 2-7 August, Singapore.
    [pdf] [bib]
  • Feng Jin, Minlie Huang, Zhiyong Lu, Xiaoyan Zhu.
    Towards Automatic Generation of Gene Summary. BioNLP workshop on NAACL-HLT 2009.
    [pdf] [bib]
  • Hongning Wang, Minlie Huang, Xiaoyan Zhu.
    A Generative Probabilistic Model for Multi-Label Classification. IEEE ICDM 2008.
    [pdf] [bib]
  • Minlie Huang, Xiaoyan Zhu.
    Combining convolution kernels defined on heterogeneous sub-structures. PAKDD 2007, pp. 539-546, Nanjing, China.
    [pdf] [bib]
  • Yu Hao, Xiaoyan Zhu, Minlie Huang, Ming Li.
    Discovering Patterns to Extract Protein-Protein Interactions from the Literature: Part II. Bioinformatics 2005 21(15):3294-3300.
    [pdf] [bib]
  • Minlie Huang, Xiaoyan Zhu, Yu Hao, Donald G. Payan, Kunbin Qu, Ming Li.
    Discovering patterns to extract protein-protein interactions from full texts. Bioinformatics, 2004, 20: 3604-3612.
    [pdf] [bib]