Ziming Li’s Homepage

Ziming Li (李子铭)
c3.258c
Science Park 904,
1098 XH, Amsterdam,
Netherlands

I'm a PhD student from University of Amsterdam. My research interests are Information Retrieval, Dialogue systems and Inverse Reinforcement Learning. (CV)

Education
University of Amsterdam
2016-present
PhD Candidate
  • Supervisor: Prof. Dr. Maarten de Rijke
  • Co-Supervisor: Dr. Julia Kiseleva
  • Research Topic: Information Retrieval, Dialogue systems and Inverse Reinforcement Learning
Xiamen University
2013-2016
Master Degree
  • Research Topic: Membrane Computing, Bioinformatics
  • Thesis Title: Research on Some Mathematical Problems Based on Time-free P Systems (9.2/10, Outstanding Master Thesis Title)
Xiamen University
2009-2013
Bachelor Degree
  • Thesis Title: Parameterization of Triangular Meshes (graded 8.9/10, Outstanding Bachelor Thesis Title)
Internship
Microsoft Research
2019.05-2019.08
Intern
  • Deep Learning Group, Microsoft Research AI, Redmond
Teaching Experience
University of Amsterdam
2018-2019
TAing
  • Information Retrieval 1
  • Information Retrieval 2
University of Amsterdam
2018-2019
Supervision

Master Theses:

  • Cyclists’ Route Choice in Amsterdam: Finding Factors of Influence and Predicting Cyclists’ Route ChoicE, with Chris Olberts
  • How to measure a neighborhood: Exploring geo-spatial data enrichment and neighborhood embeddings for housing price prediction, with Guus Bobeldijk
  • Text Classification for Ground Lease Documents, with Rouel de Romas
  • Predicting salary using Job posting data, with Roma Bakhyshov
Academic Activities
University of Amsterdam
2016-present
Reviewing

TOIS, IPM, ECIR'18, SIGIR'18, CIKM'18, NAACL'19, SIGIR'19, EMNLP'19, NeurIPS'19

University of Amsterdam
2017
Summer school

European Summer School in Information Retrieval 2017, Barcelona, Spain

Publications
University of Amsterdam
2016-present
  • Li, Z., Kiseleva, J. & de Rijke, M. (2019b). Dialogue generation: From imitation learning to inverse reinforcement learning. AAAI 2019. pdf
  • Li, Z., Grotov, A., Kiseleva, J., de Rijke, M. & Oosterhuis, H. (2018). Optimizing interactive systems with data-driven objectives. arXiv preprint arXiv:1802.06306. pdf
  • Li, Z., Kiseleva, J. & de Rijke, M. (2019a). Diagnosing and optimizing a task-oriented dialogue system with reward shaping. under submission, Sept 2019.
  • Li, Z. & de Rijke, M. (2017). The impact of linkage methods in hierarchical clustering for active learning to rank. SIGIR 2017, 941–944. pdf
  • Li, Z., Kiseleva, J., de Rijke, M. & Grotov, A. (2017). Towards learning reward functions from user interactions. ICTIR 2017, 289–292. pdf
Xiamen University
2014-2016
  • Liu, X., Li, Z., Suo, J., Ju, Y., Liu, J. & Zeng, X. (2014). Solving multidimensional 0-1 knapsack problem with time-free tissue p systems. Journal of Applied Mathematics.
  • Liu, X., Li, Z., Suo, J., Liu, J. & Min, X. (2015). A uniform solution to integer factorization using time-free spiking neural p system. Neural Computing and Applications, 26(5), 1241–1247.
  • Liu, X., Li, Z., Liu, J., Liu, L. & Zeng, X. (2015). Implementation of arithmetic operations with time-free spiking neural p systems. IEEE transactions on nanobioscience, 14(6), 617–624.
Awards and Achievements
Xiamen University
2014
National Scholarship for outstanding Postgraduate students, China
Xiamen University
2015
National Scholarship for outstanding Postgraduate students, China
Skills
Pytorch
Tensorflow
Numpy
Langguage
English
Chinese