Yao-Yi Chiang is an Assistant Professor in Spatial Sciences in the Spatial Sciences Institute, University of Southern California (USC). He is also a Visiting Computer Scientist at the USC Information Sciences Institute. Yao-Yi Chiang received his Ph.D. degree in Computer Science from University of Southern California in 2010; his Bachelor degree in Information Management from National Taiwan University in 2000. His general area of research is information integration, with a focus on acquiring, modeling, fusion, and visualization of geographic data from heterogeneous sources. In particular, Dr. Chiang is an expert in digital map processing and geospatial information system (GIS). He has published a number of articles on automatic techniques for geospatial data extraction and integration. Prior to USC, Dr. Chiang worked as a research scientist for Geosemble Technologies, which was founded, based on a patent on geospatial data fusion techniques and he was a co-inventor.  

Yao-Yi Chiang research interests are in intersection of Computer Science and Spatial Science.

1. What makes an article top quality? 

Response: Describe the problem clearly, Present the proposed approach in detail (so that readers can follow the article and re-implement the described approach in the article), Present a comprehensive literature review, Present detailed experiment design, setting, results, and result discussion.

2. Do you think that journals determine research trends?

Response: Yes.

3. What makes a good position paper?

Response: Describe the problem clearly, Present a comprehensive literature review, Present (and justify) potential directions for solving the problem, Present (and justify) potential evaluation metrics.

4. What are the qualities you look for in an article?

Response: Describe the problem clearly, Present the proposed approach in detail (so that readers can follow the article and re-implement the described approach in the article), Present a comprehensive literature review, Present detailed experiment design, setting, results, and result discussion.

5. Are there any particular areas which you would like to see, or expect to see, collaborate?

Response: Automatic methods for digital map processing.