Who am I?

Jinpeng Wang (王锦鹏) is a Researcher in Knowledge Computing Group at Microsoft Research Asia. He received his Ph.D. in Jun. 2016 from Peking University. His research interests broadly include: natural language processing, information retrieval and deep learning. He is currently working on research topics related to text generation.

That which doesn't kill me makes me stronger.

F.Nietzsche

Work Experience

• Since 2016.7, Researcher, Microsoft Research Asia, Knowledge Computing Team.
• 2015 winter, Research Intern, Microsoft Research Asia, Knowledge Computing Team.
• 2010 summer, Research Intern, Baidu, Inc., E-Commerce Team.
• 2009 summer, Research Intern, ICT, Chinese Academy of Sciences, Key Laboratory of Computer System and Architecture.

Education

• 2010.9 - 2016.6, Ph.D. in Computer Systems Organization.
  School of Electronics Engineer and Computer Science, Peking University, China.
  Advisor: Prof. Xiaoming Li.
• 2013.8-2014.8, Exchange Ph.D. Student in Data Mining.
  Nanyang Technological University, Singapore.
  Advisor: Prof. Gao Cong.
• 2006.9-2010.6, Bachelor in Computer Science
  School of Engineering and Technology, China University of Geosciences, Beijing.

Publications

Natural Language Generation

• Feng Nie, Jinpeng Wang Rong Pan and Chin-Yew Lin.
  An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation.
  To appear in INLG'19.
• Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin and Chin-Yew Lin.
  Enhancing Neural Data-To-Text Generation Models with External Background Knowledge.
  To appear in EMNLP'19.
• Feng Nie, Hailin Chen, Jinpeng Wang, Rong Pan and Chin-Yew Lin.
  Incorporating Consistency Verification into Neural Data-to-Document Generation.
  To appear in NLPCC'19.
• Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan and Chin-Yew Lin .
  A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation.
  In ACL'19.
• Feng Nie, Jinpeng Wang, Jin-Ge Yao, Chin-Yew Lin and Rong Pan.
  Operation Guided Neural Networks for High Fidelity Data-To-Text Generation.
  In EMNLP'18. [Link]
• Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao and Chin-Yew Lin.
  Data2Text Studio: Automated Text Generation from Structured Data.
  In EMNLP'18.
• Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang and Chin-Yew Lin.
  Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data.
  In EMNLP'18.
• Jinpeng Wang, Yutai Hou, Yunbo Cao and Chin-Yew Lin.
  A Statistical Framework for Product Description Generation.
  In IJCNLP'17.

Entity Linking

• Shuang Chen, Jinpeng Wang, Feng Jiang and Chin-Yew Lin.
  Improving Entity Linking by Modeling LatentEntity Type Information.
  To appear in AAAI'20.
• Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin and Rong Pan.
  Mention and Entity Description Co-Attention for Entity Disambiguation.
  In AAAI'18. [Link]
• Feng Nie, Jing Liu, Shuyan Zhou, Jinpeng Wang, Chin-Yew Lin and Rong Pan.
  Aggregated Semantic Matching for Short Text Entity Linking.
  In CONLL'18.
• Jinpeng Wang, Xin Zhao, Rui Yan, Haitian Wei, Jian-yun Nie and Xiaoming Li.
  Using Lexical and Thematic Knowledge for Name Disambiguation.
  In AIRS'12, long paper.

User Intent Detection for Product Recommendation

• Wayne Xin Zhao, Jinpeng Wang, Yulan He, Ji-Rong Wen, Edward Y. Chang and Xiaoming Li.
  Mining Product adopter Information from Online Reviews for Improving Product Recommendation.
  In ACM TKDD. [Link]
• Jinpeng Wang, Xin Zhao, Yulan He and Xiaoming Li.
  Leveraging Product Adopter Information from Online Reviews for Product Recommendation.
  In ICWSM'15, long paper. [PDF]
• Jinpeng Wang, Gao Cong, Xin Zhao and Xiaoming Li.
  Mining User Intents in Twitter: A Semi-supervised Approach to Inferring Intent Categories for Tweets.
  In AAAI'15, long paper. [Dataset]
• Jinpeng Wang, Xin Zhao, Haitian Wei and Xiaoming Li.
  Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs.
  In EMNLP'13, long paper. [Dataset]

User Modeling

• Weizheng Chen, Jinpeng Wang, Zhuoxuan Jiang, Yan Zhang and Xiaoming Li.
  Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network.
  In PAKDD’17.
• Weizheng Chen, Xia Zhang, Jinpeng Wang, Yan Zhang, Hongfei Yan and Xiaoming Li.
  Non-Linear Smoothed Transductive Network Embedding with Text Information.
  In ACML’16.
• Weizheng Chen, Jinpeng Wang, Yan Zhang, Hongfei Yan and Xiaoming Li.
  User Based Aggregation for Biterm Topic Model.
  In ACL'15, short paper.
• Jinpeng Wang, Xin Zhao, Yulan He and Xiaoming Li.
  Infer User Interests via Link Structure Regularization.
  In ACM TIST, (Impact Factor: 9.39).
• Jinpeng Wang, Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen and Xiaoming Li.
  Incorporating Social Role Theory into Topic Models for Social Media Content Analysis.
  In IEEE TKDE.
• Xin Zhao, Jinpeng Wang, Rui Yan, Haitian Wei, Jian-yun Nie and Xiaoming Li.
  Originator or Propagator? Incorporating Social Role Theory into Topic Models for Twitter Content Analysis.
  In CIKM'13, short paper.

Projects

1. Event Search
2. Community detection on Sina Weibo
3. Scalable Sina Weibo crawler
4. Person Activity Search System
5. ezReading
6. I Love English

Hobbies

• I love photography. You can find my graphs on Flickr.

  

• I Love English is a language learning software on mobile platform. We are trying to inject more fun in language learning process by keeping language learners and lovers in contact with the coolest and the most cutting-edge language resource every day. Now we have developed this APP on Windows Phone and got 5 million users.

  

Contact

Some Links