Quan Liu 刘权   (How to pronounce?)

Postdoctoral Researcher with University of Science and Technology of China, and iFLYTEK CO.,LTD., Hefei, China
School of Information Science and Technology
University of Science and Technology of China
No.96, JinZhai Road, Hefei, Anhui, 230026, China.

Research works: Machine Learning for Natural Language Processing & AI, (2012~present)

• Spoken Language Understanding
  Research in spoken language understanding, question answering and dialog management.

• Commonsense Reasoning via Deep Learning
  Research in commonsense reasoning, automatic knowledge base constructions, etc.

• Semantic Representation for NLPs
  Represent natural language using neural network methods.

• Coreference Resolution
  Coreference resolution with world and commonsense knowledge.

• Spoken Term Detection
  Keyword searching in audio speech databases.

• Document Classification
  Research in spoken topic classification.

Recent News

• Dec 2018, two papers working on multi-turn response selection and sentence generation have been accepted by DSTC-7 workshop in AAAI 2019.

• July 2017, in addition to commonsense reasoning, I am also working on spoken language understanding, question answering and dialog management.

• The undergraduate student I supervised in Canada, Andrew Evdokimov, has got an offer from Google in Mountain View at the Spring of 2017.

• We participated and ranked 1st at the Winograd Schema Challenge (see wiki), a recent commonsense reasoning task held in IJCAI 2016, New York City, USA (NYU; MIT Technology Review; Nuance; IEEE Spectrum). Details for describing our Neural Association Model are available at here.

Neural Association Model for Commonsense Reasoning

• Automatic Cause-Effect Pair Collection (Liu et al., IJCAI 2017)

• Common vocabulary: 1) verb words; 2) verb phrases; 3) adjective words; 4) noun words.

Publications

• Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Zhi-Gang Chen, Nitin Indurkhya. Condition-Transforming Varitional Autoencoder for Conversation Response Generation. ICASSP 2019.

• Jia-Chen Gu, Zhen-Hua Ling, Quan Liu. Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. arXiv, 2019. [pdf]

• Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu. Promoting Diversity for End-to-End Conversation Response Generation. AAAI 2019 Workshop on DSTC7, Honolulu, Hawaii, USA. [website]

• Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu. Building Sequential Inference Models for End-to-End Response Selection. AAAI 2019 Workshop on DSTC7, Honolulu, Hawaii, USA. [website] [pdf]

• Dan Liu, Junhua Liu, Wu Guo, Shifu Xiong, Zhiqiang Ma, Rui Song, Chongliang Wu, Quan Liu. The USTC-NEL Speech Translation system at IWSLT 2018. International Workshop on Spoken Language Translation (IWSLT) 2018, Bruges, Belgium. [pdf]

• Joseph Sanu, Mingbin Xu, Hui Jiang, Quan Liu. Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding. Conference on Empirical Methods in Natural Language Processing (EMNLP) 2017, Copenhagen, Denmark. [pdf]

• Quan Liu, Hui Jiang, Andrew Evdokimov, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu. Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. International Joint Conference on Artificial Intelligence (IJCAI) 2017, Melbourne, Australia, July 2017. [pdf]

• Quan Liu, Hui Jiang, Zhen-Hua Ling, Xiaodan Zhu, Si Wei, Yu Hu. Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems. AAAI Spring Symposium, Stanford, Palo Alto, U.S.A, March 2017. [pdf][slides]

• Quan Liu, Hui Jiang, Zhen-Hua Ling, Si Wei, Yu Hu. Probabilistic Reasoning via Deep Learning: Neural Association Models. IJCAI 2016 Workshop on Deep Learning for Artificial Intelligence (DLAI). New York, U.S.A, July, 2016. [pdf] [slides]

• Quan Liu, Wu Guo, Zhen-Hua Ling, Hui Jiang, Yu Hu. Intra-Topic Variability Normalization based on Linear Projection for Topic Classification. North American Chapter of the Association for Computational Linguistics (NAACL) 2016, San Diego, U.S.A, June, 2016. [pdf]

• Quan Liu, Zhen-Hua Ling, Hui Jiang, Yu Hu. Part-of-Speech Relevance Weights for Learning Word Embeddings. arXiv, 2016. [pdf]

• Quan Liu, Hui Jiang, Si Wei, Zhen-Hua Ling, Yu Hu. Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints. Annual Meeting of the Association for Computational Linguistics (ACL) 2015, Beijing, China, July, 2015. [pdf] [toolkit]

• Quan Liu, Wu Guo, Zhen-Hua Ling. Integrate Document Ranking Information into Confidence Measure Calculation for Spoken Term Detection. arXiv, 2015. [pdf]

Social

• Program Committee Member. International Conference on Commonsense Reasoning (Commonsense-2017).

• Advisory Board. Robotics/AI Board of Lifeboat Foundation.

Awards and honors

• Outstanding graduates of University of Science and Technology of China, 2017, China.

• Best Internship Award of iFLYTEK Research 2014. Hefei, China.

• Best Student Paper Award of National Conference on Man-Machine Speech Communication 2013. Guiyang, China.

• National Undergraduate Scholarship 2009. Awarded by Ministry of Education, China.