Research Interests Formal Verification, Program Languages, Software Engineering, Systems and Security, Artificial Intelligence
as well as theories and applications in practical problems. CV
I completed my PhD from Stevens, advised by Prof. Koskinen.
I have a strong affinity for mathematical modeling, which dissects practical problems using precise mathematical logics. The abstracted models can then subsequently be employed to address a wide spectrum of real-world challenges, they are great tools to enchance our ability to comprehend and interpret the reality through the lense of software systems.
On the personal side I enjoy sports (workout, running, hiking, swimming), dancing to the music,
reading (my bookshelves),
and traveling to interesting cities. Ocassionally, I like writing Blogs.
New If are Grinnell students and would like to do summer research with me, checkout MAP proposal for details!
When you click the button on your app, what is it really doing?
The mobile data we are studying here is mainly focused on mobile application online reviews,
and mobile App API data.
Our laboratory have years of experiences in software security analysis, including malicious
code security audit and security reinforcement in software etc.. We thus have collected huge
the software stored in our local server, and we find out these data are becoming heavier and
noiser, in which itself have
a great value in informaiton reuse. In this situation, we start this project to clean and
reuse the data we have,
to make a deeper analysis on these data in different angles, urshering in a new way to study
mobile app security.
Users download apps from app stores, and write reviews to share their experiences about the
these reviews contain valuable information for app developers, also attract to latent users.
Our work on reivews analysis include
features extraction and text classification, as well as sentiment computation etc. With
respect to App API, we parse the log file
and record the parameter values of API, feeding them with proper mathematical models, by
doing this, we propose a novel approach to detect
malicious apps, distinguished from our previous works which focus on code analysis.
Facing the huge data computing that consumes great resources, I am also doing some research
on algorithm optimization
in machine learning, trying to improve the simultaneous matrix diagonalization in principal
Yuandong Liu, Yanwei Li, Yanhui Guo and Miao Zhang,
"Stratify Mobile App Reviews: E-LDA Model Based on Hot Entity Discovery",
Shiting Xu, Yuandong, Liu, Yanhui Guo, Guoai Xu,
"Malicious Application Dynamic Detection In Real-Time API Analysis",
conference: Smart Data 2016
/> Mobile Network Security Authentication System
Is the app safe before it is uploaded to App stores?
Although there are 460 million Adroid active users in China, making it the world's largest
only 30% of them can access to Google Play, therefore 70% of users discover daily Android
third-party app stores. Android developers are free to distribute their apps in any intended
including publishing into third-party app stores. There are more than ten third-party app
stores in China
used by local people every day, as a result, the trustworthiness of app stores in China is
an open question.
This project detect each APK file and repackage it with an authentic signature before
upoading to app stores.
The whole procedure of APK detection includes static analysis and dynamic analysis, as well
as malicious app searching engine etc..
I am responsible for Android dynamic analysis, based on an open source project Xposed Framework,
I developed an Android system API monitor module . The module can record and modified the
parameters of API
involked by the running app, it can also notify users the details of app behaviors, e.g.,
text sending, internet connecting,
audio recording, camera involking etc..
The source code in my charge can be downloaded here
I also co-authored a Chinese paper, "A detection method of Android application malicious
behaviors based on Xposed framework",
Sciencepaper Online12: 1264
/> Personal Tour Sites Planning System
When you are going to travel places with which you are unfamiliar, how can you schedule your
using your time and money to the limit? Would you like to share your findings with other
haven't been there during your trip?
This project provide tourists a tool to organize their trips according to their personal
prefernce, and a community
to communicate with people who are mutually fond of same tour sites. The system is designed
in three-layer web structure:
Business Logic Layer(BLL), Data Access Layer(DAL), User Interface(UI). We build B/S database
implemented the system with ASP.net framwork in Visual Studio. We also developed an
algorithem to optimize the route for users,
presenting the tour sites dynamically on the map by invoking Baidu map API.
How can we determine an effective, feasible, and cost-efficient water strategy to meet the
projected water needs of a country in 2025?
At present, the shortage of fresh water resources has seriously restricted the development
of many countries in the world,
so it is particularly important to develop rational and effective water resources
In order to meet the water demand by 2025, this paper takes China as the research object,
analyzes its water resources data, combines with China's economic, ecological and
and finally establishes freshwater resources strategic planning model.
In order to solve the problems in the water storage and transportation, seawater
desalinization and water resources protection,
we made maximization of social benefits S(X) and economic benefits J(X) as the goal, the
water storage, transportation,
desalinization and water resources protection as the constraint conditions, and set up a
multiple objectives programming model.
In solving the model, we made the social benefit as the constraint conditions, and then
transformed it into a single objective
programming model. After the model was solved, the optimal allocation of water resources was
achieved. In particular,
the application field of the water resources optimal allocation model can be cities,
countries and even the whole planet.
The model has general applicability. Meanwhile, the model is also applicable to allocation
of other resources,
such as oil, natural gas, minerals etc..