Welcome!

I am a fourth year graduate student at Princeton University in the Department of Electrical Engineering, Information Sciences and Systems (ISS) Dvision. I am currently co-advised by Prof. H. Vincent Poor and Prof. Sanjeev R. Kulkarni. My research interest includes distributed learning/inferences, robust shape reconstruction and multi-user precoding. What I enjoy most in my research is to brainstorm for original ideas, create innovative concepts, and discover orders from chaotic data.

Beyond my research, I take a full gamut of courses in mathematics, electrical engineering, computer science, finance & economics, and French. Teaching and tutoring is also part of my academic life. Moroever, I practice drawing constantly, and I am a piano player who composes piano and vocal music. Squash and Bridge are my favorite physical and mental sports.

Publication

2009

• Haipeng Zheng, Sanjeev R. Kulkarni and H. Vincent Poor, "Attribute-distributed learning: The iterative covariance optimization algorithm and its applications," submitted to American Control Conference, Baltimore, MD, July 2010.
• Haipeng Zheng, Sanjeev R. Kulkarni and H. Vincent Poor, "Agent selection for regression on attribute distributed data," submitted to International Conference on Acoustics, Speech and Signal Processing, Dallas, Texas, March 2010.
• Jieqi Yu, Haipeng Zheng, Sanjeev R. Kulkarni and H. Vincent Poor, "Outlier Elimination for Robust Ellipse and Ellipsoid Fitting," accepted by Proceedings of the 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Aruba, Dutch Antilles,Dec 2009.
• Haipeng Zheng, Sanjeev R. Kulkarni and H. Vincent Poor, "Collaborative training in sensor networks: A graphical models perspective," Proceedings of International Workshop on Machine Learning for Signal Processing, Grenoble, France, September 2009
• Haipeng Zheng, Sanjeev R. Kulkarni and H. Vincent Poor, "Cooperative Training for Attribute-Distributed Data: Trade-Off between Data Transmission and Performance," Proceedings of the 12th International Conference on Information Fusion, pp. 664-671, Seattle, WA, July 2009.

2008

• Haipeng Zheng, Sanjeev R. Kulkarni and H. Vincent Poor, "Dimensionally distributed learning: Models and algorithm," Proceedings of the 11th International Conference on Information Fusion, pp. 1-8, Cologne, Germany, July 2008.

2007

• Chinese translation of Troubleshooting Analog Circuits (by Pease R. A.), published by Posts & Telecom Press.

2006

• Haipeng Zheng, Hao Zhang, Huadong Meng and Xiqin Wang, "Qualitative Modeling of Vehicle Behavior for Scenario Parsing," Proceedings of the 9th Intelligent Transportation Systems Conference, pp. 636-641, Toronto, Canada, Sept 2006.

Note: The publications are also indexed and can be downloaded from IEEE Xplore or arXiv.

Experience

Research Assistant

Advised by Prof. H. Vincent Poor and Prof. Sanjeev R. Kulkarni, reserched on different topics in distributed learning/inferences, multi-user precoding, robust shape reconstruction.

Assistant Instructor

Lead teaching assistant in ELE201: Introduction to Electrical Signals & Ststems for two semesters. Designed problem sets and exams, organized precepts, presented several lectures and won outstanding teaching assistant award in 2009.

Research Assistant

Advised by Prof. Xiqin Wang and Prof. Hao Zhang During a one year work at ITiS Lab in Tsinghua University, researched on scenario parsing for intelligent transportation systems, published a paper and received a thesis award. Also developed a software for data processing and visualization, which was widely applied by other lab colleagues.

Summer Internship

Collaborated with three other team members, developed, assembled and programmed for an embedded web server system based on an ARM MCU platform.

Programmer

Advised by Prof. Zhijian Ou, developed a software (based on C++) named VisualSpeech to process and visualize Mandarin speech signals.

Coursework

Fall 2009

• COS429: Computer Vision, Prof. Szymon Rusinkiewicz
• ECO418: Strategy and Information Prof. Dilip Abreu
• ELE201(AI): Introduction to Electrical Signals and Systems, Prof. Sanjeev Kulkarni
• MAT390: Prabability Theory, Prof. Yakov Sinai

Spring 2009

• COS513: Graphical Models, Prof. David Blei
• FRE102: Beginner's French II, Prof. Murielle Perrier

Fall 2008

• ORF524/ELE524: Statistical Theory and Methods, Prof. Jianqin Fan
• ELE201(AI): Introduction to Electrical Signals and Systems, Prof. Sanjeev Kulkarni
• FRE101: Beginner's French I, Prof. Rachel Hart et Prof. Celine Brossillon-Limpantoudis
• ORF551: Probability Theary, Prof. Erhan Cinlar

Spring 2008

• COS511: Theoretical Machine Learning, Prof. Robert Schapire

Fall 2007

• COS402: Artificial Intelligence, Prof. Robert Shapire
• ELE528: Information Theory, Prof. Sergio Verdu
• ORF522: Linear Optimization, Prof. Robert Vanderbei

Spring 2007

• COS424: Interacting with Data, Prof. David Blei and Prof. Robert Shapire
• ELE530: Theory of Detection and Estimation, Prof. Peter Ramadge
• ORF504/FIN504: Financial Econometrics, Prof. Jianqing Fan

Fall 2006

• ELE465: Switching and Sequential Systems, Prof. Sun-Yuan Kung
• ELE521: Linear System Theory, Prof. Peter Ramadge
• ELE525: Random Processes in Information Systems, Prof. Hisashi Kobayashi
• MAT314: Introduction to Real Analysis, Prof. Michael Usher

Note: all courses are taken for grade, no p/d/f or audit included.

Contact

Address: Dept. of Electrical Engineering E-quad B307 Princeton, NJ, 08540 Email: haipengz dot princeton dot edu