About Me

PhD Student @ University of Wisconsin-Madison

Ce is currently a PhD student in Computer Sciences Department, University of Wisconsin-Madison. He is working with Dr. Christopher Ré for problems related to data management and database system. Specially, he is interested in understanding how to build a general platform for the next generation of analytics model, which is probabilistics, Web-scale, and declarative to the developers. Before joining UW, he obtained his B. S. degree at Peking University (China) advised by Dr. Bin Cui. His past research forcused on how to manage multimedia information in Web 2.0 environment.


czhang@cs.wisc.edu

© by Qi Cao

Projects

Pushing statistical analytics to domain experts!

GeoDeepDive

GeoDeepDive is the follow-up work of DeepDive, which tries to extract "dark" geological data from geology research papers. GeoDeepDive extracts rock formations and measurements from more than 40K papers, and answers queries like "how many carbon are there in Wisconsin?". This is the joint work with Vidhya Govindaraju, Christopher Ré, and our geologist collaborator Shanan Peters.

DeepDive

DeepDive is an encyclopedia by the machines, for the people! DeepDive extracts relationships between persons, locations, organizations, and tries to enrich Wikipdia. DeepDive runs extractors over hundres of millions of Web pages, and hundreds of thousands of YouTube videos. This is the joint work with Feng Niu, Christopher Ré, and Jude Shavlik.

Tuffy/Felix

Tuffy and Felix are scalable inference engines for Markov logic network (MLN). Tuffy scales up MLN grounding with SQL and search with graph partitioning. Felix introduces an operator-based perspecitve into the inference of Markov Logic, which is inspired by the classic textbook RDBMS. Felix highlights a compilier, an optimizer, and a parallelized executor. They are the joint work with Feng Niu, Christopher Ré and Jude Shavlik.

Services

  • Reviewer: Journal of Web Engineering.

Publications

2013

  • SHORT Understanding Tables in Context using Standard NLP Toolkits
        Vidhya Govindaraju, Ce Zhang and Christopher Ré
        ACL, 2013 (to appear).
  • Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers
        Ce Zhang, and Christopher Ré
        SIGMOD, 2013 (to appear).
  • DEMO GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages
        Ce Zhang, Vidhya Govindaraju, Jackson Borchardt, Tim Foltz, Christopher Ré, and Shanan Peters
        SIGMOD, 2013 (to appear).
  • VISION Brainwash: A Data System for Feature Engineering
        Michael Anderson, Dolan Antenucci, Victor Bittorf, Matthew Burgess, Michael Cafarella,
            Arun Kumar, Feng Niu, Yongjoo Park, Christopher Ré, and Ce Zhang
        CIDR, 2013.

2012

  • SHORT Scaling Inference for Markov Logic via Dual Decomposition
        Feng Niu, Ce Zhang, Christopher Ré, and Jude Shavlik
        ICDM, 2012.
  • Big Data versus the Crowd: Looking for Relationships in All the Right Places
        Ce Zhang, Feng Niu, Christopher Ré, and Jude Shavlik
        ACL, 2012
  • Elementary: Large-scale Knowledge-base Construction via Machine Learning and Statistical Inference
        Feng Niu, Ce Zhang, Christopher Ré, and Jude Shavlik
        IJSWIS, Special Issue on Knowledge Extraction from the Web, 2012
  • DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference
        Feng Niu, Ce Zhang, Christopher Ré, and Jude Shavlik
        VLDS, 2012

2011

  • Modeling User Expertise in Folksonomies by Fusing Multi-type Features
        Junjie Yao, Bin Cui, Qiaosha Han, Ce Zhang, Yanhong Zhou
        DASFAA, 2011

2010

  • Content-enriched classifier for web video classification
        Bin Cui, Ce Zhang, Gao Cong
        SIGIR, 2011
  • Multiple feature fusion for social media applications
        Bin Cui, Anthony K. H. Tung, Ce Zhang, Zhe Zhao
        SIGMOD, 2010

2009

  • The use of categorization information in language models for question retrievaln
        Xin Cao, Gao Cong, Bin Cui, Christian S. Jensen, Ce Zhang
        CIKM, 2009
  • A Revisit of Query Expansion with Different Semantic Levels
        Ce Zhang, Bin Cui, Gao Cong, Yu-Jing Wang
        DASFAA, 2009
  • DEMO Video Annotation System Based on Categorizing and Keyword Labelling
        Bin Cui, Bei Pan, Heng Tao Shen, Ying Wang, Ce Zhang
        DASFAA, 2009

2008

  • POSTER Semantic similarity based on compact concept ontology
        Ce Zhang, Yu-Jing Wang, Bin Cui, Gao Cong
        WWW, 2008

© 2008–2013 Ce Zhang. All rights reserved.