A5027616607- Data Visualization and Analytics
- Data Management and Algorithms
- Video Analysis and Summarization
- Advanced Database Systems and Queries
- Data Mining Algorithms and Applications
- Web Data Mining and Analysis
- Anomaly Detection Techniques and Applications
- Machine Learning and Algorithms
- Software System Performance and Reliability
- Prosthetics and Rehabilitation Robotics
- Advanced Image and Video Retrieval Techniques
- Advanced Sensor and Energy Harvesting Materials
- Advanced Text Analysis Techniques
- Data Stream Mining Techniques
- Time Series Analysis and Forecasting
- Human Motion and Animation
- Data Quality and Management
- Image and Video Quality Assessment
- Internet Traffic Analysis and Secure E-voting
- Data Analysis with R
- Multimedia Communication and Technology
- Machine Learning and Data Classification
- Scientific Computing and Data Management
- Muscle activation and electromyography studies
Tsinghua University
2018-2022
Northwestern Polytechnic University
2007
Data visualization is invaluable for explaining the significance of data to people who are visually oriented. The central task automatic is, given a dataset, visualize its compelling stories by transforming (e.g., selecting attributes, grouping and binning values) deciding right type bar or line charts). We present DEEPEYE, novel system that tackles three problems: (1) Visualization recognition: visualization, it "good "bad"? (2) ranking: two visualizations, which one "better"? And (3)...
Supporting the translation from natural language (NL) query to visualization (NL2VIS) can simplify creation of data visualizations because if successful, anyone generate by their tabular data. The state-of-the-art NL2VIS approaches (e.g., NL4DV and FlowSense) are based on semantic parsers heuristic algorithms, which not end-to-end designed for supporting (possibly) complex transformations. Deep neural network powered machine models have made great strides in many tasks, suggests that they...
Creating good visualizations for ordinary users is hard, even with the help of state-of-the-art interactive data visualization tools, such as Tableau, Qlik, because they require to understand and very well. DeepEye an innovative system that aims at helping everyone create simply like a Google search. Given dataset keyword query, understands query intent, generates ranks visualizations. The user can pick one she likes do further faceted navigation easily navigate candidate In this...
Natural language (NL) is a promising interaction paradigm for data visualization (VIS). However, there are not any NL to VIS (NL2VIS) benchmarks available. Our goal provide the first NL2VIS benchmark enable and push field of NL2VIS, especially with deep learning technologies. In this paper, we propose synthesizer (NL2SQL-to-NL2VIS) that synthesizes by piggybacking NL2SQL benchmarks. The intuition based on semantic connection between SQL queries queries: specify what needed additionally need...
Data visualization transforms data into images to aid the understanding of data; therefore, it is an invaluable tool for explaining significance visually inclined people. Given a (big) dataset, essential task visualize tell compelling stories by selecting, filtering, and transforming data, picking right type such as bar charts or line charts. Our ultimate goal automate this that currently requires heavy user intervention in existing systems. An evolutionized system field faces following...
In this work, we present a self-driving data visualization system, called <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DeepEye</small> , that automatically generates and recommends visualizations based on the idea of <italic xmlns:xlink="http://www.w3.org/1999/xlink">visualization by examples.</i> We propose effective recognition techniques to decide which are meaningful ranking rank good visualizations. Furthermore, main challenge automatic...
In this paper, we study the problem of interactive cleaning for progressive visualization (ICPV): Given a bad V , it is to obtain "cleaned" whose distance far from under given (small) budget w.r.t. human cost. ICPV, system interacts with user iteratively. During each iteration, asks data question such as "how clean detected errors x?", and takes value updates . Conventional wisdom typically picks single (e.g., "Are SIGMOD conference same?") maximum expected benefit in iteration. We propose...
Data visualization is crucial in data-driven decision making. However, bad visualizations generated from dirty data often mislead the users to understand and draw wrong decisions. We present VisClean, a system that can progressively visualize with improved quality through interactive visualization-aware cleaning. will demonstrate two main features of VisClean: (1) Easy-to-use: easily answer cleaning questions novel GUI; (2) Cheap-to-clean: be significantly few interactions.
The very first step of many data analytics is to find and (possibly) rank desired tuples, typically through writing SQL queries - this feasible only for experts who can write know the well. Unfortunately, in practice, might be complicated (for example, "find good off-road cars based on a combination Price, Make, Model, Age, Mileage, so on" because it contains if-then-else, and, or not logic) such that even cannot precisely specify queries; unknown, which common discovery one tries discover...
Database exploration - the problem of finding and ranking desired tuples is important for data discovery analysis. Precisely specifying SQL queries not always feasible in practice, such as "finding off-road cars based on a combination Price, Make, Model, Age, Mileage." only due to query complexity (e.g., which may have many if-then-else, and, or logic), but also because user typically does knowledge all instances. We propose DExPlorer, system interactive database exploration. DExPlorer...
There exist large numbers of papers on muscle modeling for biomechanics or virtual reality but, in our opinion, they are inconvenient as a practicable method muscular drive robotic joint bio-mechanisms. We now propose computational approach to artificial bio-mechanisms drive. In the full paper, we explain detail proposed efficient method; this abstract just summarize briefly how developed visualization model. This paper advocates two-element model representing complex mechanical properties...