Resume

My resume is PDF format can be found here.

• Skills
• Experiences
• Education
• Publications
• Highlights
• Related Courses
• Honors/Awards

Skills

• Programming: C/C++, C#, Java, XML, BASH, PERL, Python, Scheme, assembly, FORTRAN , MATLAB , Mathematica, etc .
• Tools: Visual Studio.NET, gcc, gdb, pmake, purify, etc .
• Hardware: Intel, Sparc, RS6000
• Platforms: Windows 98/2000/XP, Linux, Solaris
• Languages: Fluent in both English and Chinese

Experiences

• 07/2002 - 08/2002 Research Intern in John's Hopkins University Summer Workshop, Baltimore , MD
  • Project1: Combination of language models with mutual information.
  • Project2: Structure learning in factored language models.
• 06/2001 - 09/2001 Research Intern in Microsoft Corporation, Redmond , WA
  • Project1: Compare the performance of one-pass and two-pass spoken language understanding (SLU) systems. The result shows that in SLU, smaller and more precise CFGs are much better.
  • Project2: Expand the training data using WordNet and other techniques. Expanded the data, built statistical n-gram language model from it and measured the perplexity.
  • Project3: CFG authoring tool GUI. Built a tool so that user can do annotation and the tool will learn and generate CFGs for the user.
• 06/2000 – now: Research Assistant in Univ. of Washington , Seattle , WA
  • Project1: Large Vocabulary Speech Recognition (LVSR). Concentrated in intransitive likelihood ratio classifiers. The new models in this project were based on structure learning in graphical models, which involves knowledge in physics, information theory and game theory.
  • Project2: Simultaneous training of multiple classifier systems. Algorithm development and software implementation.
  • Project3: Worked on upcoming mutual information toolkit. Worked on low-level continuous random variable modeling for this purpose.
  • Project4: Intransitive classifiers.
  • Project5: Graphical models toolkit implementation.
  • Project6: Multi-speaker language modelling: Model the inter-speaker dependency in a conversation/meeting.
• 05/1999 – 05/2000 Research Assistant in Univ. of Washington / UC Berkeley, Berkeley , CA
  • Project: X-ray magnetic dynamic scattering. Using Advance Light Source (ALS) in Lawrence Berkeley National Laboratory (LBNL) to analyze the dynamic fluctuation of Colossal Magnetoresistance (CMR) materials and liquid crystals. For the first time, soft X-ray is used to detect and examine the magnetic transitions in CMR multi-layers.
• 09/1995 – 07/1998 Research Assistant in Univ. of Sci. and Tech. of China , Hefei , PRC
  • Project: Research on CMR materials . Including sample preparing (crystal or poly-crystal), electrical (such as electrical paramagnetic resonance, EPR) and transportation properties detecting and data analyzing. Spin-glass two-well model for CMR materials was proposed and proved the theory by our own samples.
• 09/1993 – 07/1995 Research Assistant in Univ. of Sci. and Tech. of China , Hefei , PRC
  • Project: Cooperated with Europe Nuclear Center (ENC). Analyzing the experiments of heavy-ion collisions. Focusing on strange production, the models of quantum field theory was improved.

Education

• Ph.D. candidate in Electrical Engineering, University of Washington, Seattle, USA
• M.S. in Physics, May 2001, University of Washington, Seattle, USA
• M.S. in Material Sciences, July 1998, University of Science and Technology of China, Hefei , PRC
• B.S. in Physics, July 1995, University of Science and Technology of China, Hefei , PRC

Publications

Confrence Papers

1. Gang Ji and Jeff Bilmes, Dialog Act Tagging Using Graphical Models, IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, USA (2005).
2. Xin Lei, Gang Ji, Tim Ng, Mari Ostendorf, and Jeff Bilmes, DBN-based Multi-stream Models for Mandarin Tomeme Recognition, IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, USA (2005).
3. Gang Ji and Jeff Bilmes, Multi-speaker Language Modelling, Proceedings of HLT-NAACL SIGDIAL Workshop, Boston, MA, (2004).
4. Gang Ji and Jeff Bilmes, Necessary Intransitive Likelihood-Ratio Classifiers , Neural Iniformation Processing Systems, Dec. 2003, Vancouver, Canada, (2003) .
5. Katrin Kirchhoff, Jeff Bilmes, Sourin Das, Nicolae Duta, Melissa Egan, Gang Ji , Feng He, John Henderson, Daben Liu, Mohamed Noamany, Pat Schone, Richard Schwartz, and Dimitra Vergyri, Novel Approaches to Arabic Speech Recognition: Report from the 2002 Johns-Hopkins Summer Workshop , IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, April 2003. Hong Kong, China, (2003).
6. Jeff Bilmes, Gang Ji , and M. Meila, Intransitive Likelihood-Radio Classifiers , Neural Iniformation Processing Systems, Dec. 2001, Vancouver, Canada, (2001).

Journal Papers

1. X.-G. Li, X. J. Fan, Gang Ji, W. B. Wu, K. J. Wong, C. L. Choy, and H. C. Ku, Field-induced crossover from cluster-glass to ferromagnetic state in La_0.7Sr_0.3Mn_0.7Co_0.3O₃, J. Appl. Phys. 85 (1999) 1663.
2. X. J. Fan, Gang Ji, X.-G. Li, The effect of the SN proximity on the Josephson tunneling of high-T_C superconductors, Physica C 311 (1999) 93.
3. Jianhui Zhang, Changfei Zhu, Xiaojuan Fan, Gang Ji , Yadong Li, and Xiaoguang Li, Effect of spin on Mn site on conductivity of Nd_1-xBa_xMnO₃ and La_0.67Mg_0.33Mn_0.85M_0.15O₃( M = Mn, Ga, Fe), J. Low Temperature Physics, 89 (1998) 15.
4. Gang Ji, Xiaojuan Fan, Zhanggui Hu, Lu Cheng, Guien Zhou, and Xiaoguang Li, Double Exchange and Small Polarons in La_0.7Ca_0.3MnO₃, Chinese Science Bulletin, 89 (1998) 11.
5. Gang Ji, X. J. Fan, J. H. Zhang, C. S. Xiong, and X.-G. Li, A study on transport and electron paramagnetic resonance in La_0.6Pb_0.4MnO₃, J. Phys. D 31 (1998) 3036.
6. Gang Ji, Jianhui Zhang, Xiaojuan Fan, Jiedong Diao, Wei Liu, and Xiaoguang Li, Research on magnetoresistance and electron paramagnetic resonance of La_0.67Sr_0.33Mn_0.90Fe_0.10O₃, J. China Univ. of Sci. and Tech., 26 (1996) 88.
7. Yunxiu Ye, Shufang Su, Gang Ji, and Ning Wu, The Mathematics Deal with Polarization Analysis of \Lambda, Journal of China University of Science and Technology, 26 (1996) 88.
8. Yunxiu Ye, Gang Ji, and Shufang Su, The Analysis System for L Polarization, Nuclear Electronics and Detection Technology, 16 (1996) 114.
9. Yunxiu Ye, Shufang Su, and Gang Ji, Polarization Analysis of L Hyperon in Relativistic Nuclear-Nuclear Collisions, Chinese Science Bulletin, 44 (1995) 2046.
10. Yunxiu Ye, Shufang Su, and Gang Ji, Strangeness Production and Its Polarization in Relativistic Heavy Ion Collisions, J. of China Univ. of Sci. & Tech., 25 (1995) 5.

Techniqual Reports

1. Gang Ji and Jeff Bilmes, Necessary Intransitive Likelihood-Ratio Classifiers , UWEETR-2002-0014, Department of Electrical Engineering, University of Washington, (2002).

Highlights

• A lot of programming experiences: Involved in the development of two toolboxes (GMTK and MITK).
• Windows programming: Built a GUI annotation tool (C#) when in MSR.
• Lots of course projects: real time system demo (C#), web browser (Java), compiler, bioengineering projects, and many others.

Related Courses

• Data Structure, Algorithms and Computation Complexity, Programming Languages and Compilers
• Computer Networks, Communication Networks, Real Time Systems
• Artificial Intelligence, Computational Biology, Computational Speech, Statistical Language Modeling
• Probability Theory and Statistics, Information Theory
• Digital Circuit Design

Honors/Awards

• The First Prize of Di-Ao Award 1998.
• The Tenth Elite Award for Experimental Science 1995.
• The Third Prize Award for Excellent Students 1994.
• The Second Prize for National Olympics Chemistry Competition 1990.
• The Fourth Prize for National Mechanics Competition, 1990.