21st IEEE International Conference on High Performance Computing and Communications (Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019, p 208-214, August 2019)

(Tier-1 conference in High Performance Computing and Communications)

2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022, pp. 1161-1167, doi: 10.1109/RO-MAN53752.2022.9900872.

(Top tier conference in Robotics)

GEOAI '21: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, November 2021, Pages 17–26, https://doi.org/10.1145/3486635.3491070

(Top tier conference in GIS and Spatial Data Computing)

2019 IEEE 35th International Conference on Data Engineering (Proceedings - International Conference on Data Engineering, v 2019-April, p 112-123, April 2019)

(Top tier conference in data and database)

The 14th International Conference on Knowledge Science, Engineering and Management (Knowledge Science, Engineering and Management. KSEM 2021. Lecture Notes in Computer Science, vol 12815. Springer, Cham. https://doi.org/10.1007/978-3-030-82136-4_6)

(Tier-1 conference in Knowledge Science)

The invention relates to a method for querying keywords in a federated RDF database which is feasible and efficient, and the keyword query results in the federated RDF database can be calculated within the acceptable time.

(Patent)

The invention discloses a multi-hop learning method for improving the cooperation level of a multi-agent system, and belongs to the field of artificial intelligence and computer networks. Based on thenetwork evolutionary game theory, an intelligent agent is promoted to adopt a cooperation strategy by enhancing the learning range of the intelligent agent, and the overall income of the system is improved.

(Patent)

A mobile app that connects college teachers and students in terms of one specific research offer.

(Copyright)

GPA: 3.9

Also a Research Assistant focusing on Computer Vision, Natural Language Processing, Robotics and Affective Computing

GPA: 4.0; Major GPA: 4.0

National Scholarship (3 times), Best Student of the year, HuaWei Scholarship

American Alliance for International Education

Accomplished project: Robot Prototype for Remote Searching and Rescue

AWS issue management

JavaScript, React, GraphQL

Research Advisor: Prof. Yaoyi Chiang

Designed an end-to-end deep learning system with Tensorflow and Keras using Convolutional Neural Networks(VGG,ResNet) for arbitrary-shape text detection and recognition on historical maps, accomplished a better performance than Google Vision, PSENet and EAST, cooperating with the Alan Turing Institute who used our model to extract information from historical maps; built our own standardized dataset using StarGAN, CycelGAN and PAL algorithm defeating ICDAR dataset on historical maps, having a paper accepted by SIGSPATIAL 2021.

Programmed algorithms with PyTorch for multi-modality fine-grained geographic entity typing based on unsupervised or weak supervised learning and Natural Language Processing using advanced BERT.

Utilized React Native, Firebase database and Flask to construct a mobile App to help teachers reward students enhancing enthusiasm for learning.

Built a website and mobile App for movie and TV series sharing based on TMDB data using Angular, Bootstrap, Flask, Android.

Research Advisor: Prof. Stefanos Nikolaidis

Contributed in exploiting worker’s preference to help improve Human-Machine Cooperation; abstracted preference with Inverse Reinforcement Learning. Cooperating with NASA, presented the project demo to former NASA astronaut, Garrett Erin Reisman. We had a paper published in HRI 2022.

Applied RGBD image from Kinect and OpenPose to track human skeleton; programmed object detection based on AprilTag; combined skeleton tracking and object detection to recognize actions; upgraded operation code for robot in ROS system.

Research Advisor: Prof. Mohammad Soleymani

Designed an explainable deep learning multi-modality model to predict depression and PTSD with Tensorflow and Keras based on multi-task learning, exceeding runner-up in AVEC 2019 contest.

Employed OpenFACE, OpenSMILE, BERT to extract features and attention mechanism and SHAP to construct explainable model. Analyzed and visualized data with Statsmodels, Scikit-learn, Seaborn.

Participated in requirements analysis and product development seminar, disigned the website prototype, realized the fornt-end interfaces of the website and some back-end modules, deployed it for Commercial Aircraft Corporation of China Ltd.
Using: JavaScript, BootStrap, HTML, PHP, MySQL, Tomcat, UML

Automatic Street Lighting Condition Detection System for Tianjin
Solved some technical challenges about displaying dynamic charts, figured out the data transmission protocal of sensers after many tests, engineered data parser programs, designed and realized the front-end interfaces and back-end modules of the system.
Using: JavaEE, JavaScript, Vue.js, Echarts, TCP/IP, JSON, MySQL

Aerosol Experimental Sensor Management System
Desigend and decorated the user-interface, constrcuted some back-end modules, assembled, deployed and tested the entire system with other engineers.
Using: LabView, Photoshop

Updated Company Website
Updated and repaired the front-end, updated some back-end modules, built, delivered and examined the whole website.
Using: JavaScript, BootStrap, .NET

Research Advisor: Prof. David Clark, University of South Florida; International Project Launched by American Alliance for International Education

Robot Prototype for Remote Searching and Rescue
Searched for related resources and conducted a market survey for feasibility and technical solutions. Programmed embedded codes for robots and an mobile control android app. Constructed mechanical components, utilized the 3D printing and fabricated the robot. Operated the whole system.
Using: Arduino, C, Android, Solid Works, Bluetooth

Research Advisor: Prof. Lei Zou, Peking University

Accelerating Partial Evaluation in Distributed SPARQL Query Evaluation
Installed and deployed a distributed system using Spark and on servers with Linux. Optimized experimental codes and Linux parameters, organized experiments. Analyzed the experimental results. Having a paper published in ICDE 2019.
Using: Spark, MapReduce, Linux, Scala, Python

Effective Keyword Search over Federated RDF Systems
Invented an algorithm to reduce searching time on the schema-graph in our federated RDF system. Designed the whole system with my mentor and implemented it with a displaying website. Composed the first-author paper for the algorithm demo. Deployed the system on a server. We had a validated patent for this project.
Using: Sesame, LuceneSail, Java, SQL, JavaScript, Bootstrap, JavaEE

Research Advisor: Prof. He Zhang, Nanjing University

A Systematic Literature Review of Code-reviewer Recommendation Systems
Summarized and classified methods and algorithms after literature review. Compared their experiments and experimental data. Evaluated the data, drew our unique conclusions, put forward some problems haven’t been solved. Shared our conclusions in a speech.
Using: Latex, Java, Python, JSON

Research Advisor: Prof. Tao Wang, Hunan University

Multi-hop Learning’s Effects over the Rate of Multi-agent Cooperation
Improved codes of the experimental platform. Deliberated the experimental scheme with my mentor and ran experiments. Analyzed and visualized the results. Wrote the first author paper and published in KSEM 2021. Our new mechanism can greatly enhanced cooperation rate.
Using: C++, Python, Latex, Matlab

An Improved Defense Model for Deceptive Attack in Honeypot-Enabled Networks
Put forward the core algorithm based on Bayesian model and Relative Historical Income model. Programmed codes for the experiment platform and conducted experiments. Evaluated and visualized the results. Composed the first author paper, published in HPCC 2019.
Using: Java, Latex, Python, Matlab

A Real-time Tool Recognition System Based on Deep Learning
Created a unique dataset based on specific tools given by the customer. Devised the core algorithm model based on VGG. Engineered the model with an Android app and a server-side system. Planned tests and improved the model parameters.
Using: Vue.js, Pytorch, Python, OpenCV, Android, Java, MySQL, JavaEE

A mobile app that connects college teachers and students in terms of one specific research offer.

Navigated the object-oriented requirements analysis. Confirmed the technical pattern. Desigend and fabricated the database, the android app, the back-end server system and the management website. Dispersed internal test for the app. Communicated with college officials and promoted this app in Hunan University.
Using: UML, Power Designer, Android, JavaEE, MySQL, JavaScript, Bootstrap, HTML

Advisor: Prof. Cheng Xv, Hunan University

A multi-dimensional warning system prototype for railway construction team workers, cooperating with Chinese Ministry of Railways.

Operated surveys among railway workers. Identified appropriate sensors after hundreds of practical tests. Invented and built programs in Embedded Microcontroller Units, an Android app, a server-side system and a management website.
Using: C, Android, Java, MySQL, JavaScript, Bootstrap