Zihong Huang

Zihong Huang

PhD student @ Carlson, UMN

Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Artificial Intelligence (AI) Framework for Venture Capital Industry: How to Predict Startups’ Success in Primary Market

CEO @ DeepSearch.AI, funded by Angel round investment, ongoing

Asymmetry widely appears in venture capital industry including information, knowledge, relationship et al, which heavily affects investors’ decision making. Our startup focus on data-driven venture capital revolution, aiming to empowering investors to discover unicorns. Besides, our technical team supports various data scraping demands. If you need some data to do research or other things, feel free to contact me. We can help you!

Crowdfunding (reward-based and equity-based)

Work at Zhongchou Inc. & Yuanshihui Inc., finished in December 2016

I spent one and a half years in crowdfunding industry, which are two platform experiences including reward-based and equity-based. I was involved as a software engineer at beginning, and then changed to a prodcut manager. My work mainly lied on product design, research and development. Besides, I also kept eyes on trends in industry. At the end of 2016, a paper about crowdfunding market which I coauthored was published in Financial Innovation.

Home Away From Home

Course Project, finished in December 2014, CS, University of Minnesota

This project is to help users better do city exploration with respect to what they are familiar with. In this project I go through the complete user experience design procedure: user research, prototype, cognitive walkthrough, heuristic evaluation, implementation.

Stock Market Prediction based on Neural Networks

Empirical Finance & Financial Econometrics Workshop, finished in November 2011, CCER, Peking University

In this project, I proposed to use neural networks model to predict stock market trends, the performance of prediction is compared to other prediction models such as GARCH model

Power Amplifier Module with High Efficiency, Linearity and Wide Bandwidth

National Key Technology Project, finished in September 2012, EE, Tsinghua University

Due to high nonlinearity and memory effects of dual-band power amplifiers, I did behavioral modeling for concurrent dual-band power amplifier and digital pre-distortion based on 2D-Real Value Time Delayed Neural Networks, achieving an 10dB improvement in model accuracy than conventional approach.

Measurement System of Radiated Emission Based on Current Probe

Supported by Mitsubishi Heavy Industries, finished in May 2010, EE, Tsinghua University

Considering the complex process and high cost of radiation emission measurement in anechoic chamber, I developed a measurement system based on a current probe in common laboratory, reducing the cost of test dramatically while measurement accuracy is maintained.

portfolio

publications

Development of low cost radiated emission measurement system

Published in Microwave and Millimeter Wave Technology (ICMMT), International Conference on, 2010

A novel low cost radiated emission measurement system by using current probe has been proposed in this paper. Compared with conventional anechoic chamber measurement method, this new method could reduce test cost and save developing time efficiently. In order to improve the accuracy, a transfer function has been built for mapping the relationship between current probe method and anechoic chamber method. By using the interpolation, the final estimated radiation emission has been validated and agreed well with the experimental results in anechoic chamber.

Recommended citation: Huang, Zihong, Wenhua Chen, Zhenghe Feng, K. Toyama, and K. Teshima. "Development of low cost radiated emission measurement system." In Microwave and Millimeter Wave Technology (ICMMT), 2010 International Conference on, pp. 1829-1832. IEEE, 2010. [Download paper here]

Development of low cost measurement system for radiated emission evaluation

Published in Progress In Electromagnetics Research Letters, 2011

In this paper, a low cost measurement system with high accuracy for radiated emission evaluation has been proposed. By combining the test data of the current probe at different positions on the harness, the measurement accuracy is improved compared with conventional single probe method. For the sake of high accuracy, a transfer function is built to map the relationship between anechoic chamber method and current probe method. Based on experiments for evaluation, the final estimation of radiated emission agrees well with the measured results in anechoic chamber. For the cases tested, the difference between the current probe method and the anechoic chamber method is less than 3 dB.

Recommended citation: Huang, Zihong, Wenhua Chen, Zhenghe Feng, Kazunori Teshima, and Koji Toyama. "Development of low cost measurement system for radiated emission evaluation." Progress In Electromagnetics Research Letters 20 (2011): 55-68. [Download paper here]

Forward behavioral modeling of concurrent dual-band power amplifiers using extended real valued time delay neural networks

Published in Microwave and Millimeter Wave Technology (ICMMT), International Conference on, 2012

The distortions induced by inter-modulations and cross-modulations in concurrent dual-band power amplifiers (PAs) are evidenced and characterized using multi-tone signals. Given the presence of cross-modulations, a comprehensive extended real-valued time-delay neural network (extended-RVTDNN) is proposed to model the nonlinear behavior of concurrent dual-band Pas. Two three-carrier WCDMA signals are applied to a dual-band Doherty PA prototype for modeling verification. The experimental results show that the proposed model approximates the PA with normalized mean square errors (NMSEs) of -38.48dB and -35.42dB in the lower and upper bands, respectively. Compared with the conventional single-band RVTDNN, this new method achieves an improvement in accuracy of more than 10dB.

Recommended citation: Huang, Zihong, Wenhua Chen, Zhenghe Feng, and Fadhel M. Ghannouchi. "Forward behavioral modeling of concurrent dual-band power amplifiers using extended real valued time delay neural networks." In Microwave and Millimeter Wave Technology (ICMMT), 2012 International Conference on, vol. 5, pp. 1-4. IEEE, 2012. [Download paper here]

Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors

Published in Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), 2016

We introduce a theoretical framework called precision crowdsourcing whose goal is to help turn online information consumers into information contributors. The framework looks at the timing and nature of the requests made of users and the feedback provided to users with the goal of increasing long-term contribution and engagement in the site or system. We present the results of a field experiment in which almost 3000 users were asked to tag movies (plus a null control group) as we varied the selection of task (popular/obscure), timing of requests (immediate or varying delays), and relational rhetoric (neutral, system reciprocal, other users reciprocal) of the requests. We found that asking increases tags provided overall, though asking generally decreases the provision of unprompted tags. Users were more likely to comply with our request when we asked them to tag obscure movies and when we used reciprocal request rhetoric.

Recommended citation: Zhao, Qian, Zihong Huang, F. Maxwell F. Harper, Loren G. Terveen, and Joseph A. Konstan. "Precision CrowdSourcing: Closing the Loop to Turn Information Consumers into Information Contributors." In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, pp. 1613-1623. ACM, 2016. [Download paper here]

Pure and Hybrid Crowds in Crowdfunding Markets

Published in Financial Innovation, 2016

This study documents and compares two crowd designs for crowdfunding, namely pure crowds, where all crowd members participate as equals, and hybrid crowds, where crowd members are led by an expert investor. The hybrid design is rarely studied in the crowdfunding literature despite its large presence in equity crowdfunding. We examine industry practices from various countries in terms of crowd designs, review relevant literature on this topic, and develop a conceptual framework for choosing between pure and hybrid crowds. We identify several inefficiencies of pure crowds in crowdfunding platforms and discuss the advantages of hybrid crowds. We then develop a conceptual framework that illustrates the factors for choosing between pure and hybrid crowds. Finally, we discuss the issue of how to manage and regulate lead investors in hybrid crowds. Our study contributes to the crowdfunding literature and to crowdfunding practice in multiple ways.

Recommended citation: Chen, Liang, Zihong Huang, and De Liu. "Pure and hybrid crowds in crowdfunding markets." Financial Innovation 2.1 (2016): 19. [Download paper here]

talks

teaching

Foundation of Microwave Engineering (Spring 2010)

Undergraduate course, Tsinghua University, Department of Electronic Engineering, 2010

This course is about how microwaves work and their applications in engineering. In this course, we discuss the following topics: Transmission Lines, Modes of Propagation, Waveguides, Components, Microwave Devices, E-Plane Tree, H-Plane Tree, E-H Plane Tree, Travelling Wave Tube, Measurement Devices.