Dazhen Deng

schoolZhejiang Universitybar_chart#879 Global Rank

Total Papers

HCI Rank

#879

Research Areas

Years Active

Recent Publications

Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

Chart data extraction, which reverse-engineers data tables from chart images, is essential for reproducibility, analysis, retrieval, and redesign. Existing interactive tools are reliable but tedious, and mixed-initiative systems, while more efficient, lack generalizability. Recent multimodal large language models (MLL…

CHI '262nd AuthorInteractive Data Visualization +3

NoteFlow: Leveraging Charts as Sight Glasses for Consistent and Continuous Data Flow Tracing

Computational notebooks offer a flexible environment for exploratory data analysis (EDA), but this flexibility often leads to disorganized and iterative execution of notebook cells, making it difficult to track how data states evolve. Consequently, data scientists must devote extra mental effort to staying aware of da…

UIST '255th+ AuthorFull-Body Interaction & Embodied Input +1

From Sports Videos to Immersive Training: Augmenting Human Motion to Enrich Basketball Training Experience

Video plays a crucial role in sports training, enabling participants to analyze their movements and identify opponents' weaknesses. Despite the easy access to sports videos, the rich motion data within them remains underutilized due to the lack of clear performance indicators and discrepancies from real-game conditio…

UIST '255th+ AuthorHuman-LLM Collaboration +2

ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs

Creating data reports is a labor-intensive task involving iterative data exploration, insight extraction, and narrative construction. A key challenge lies in composing the analysis logic-from defining objectives and transforming data to identifying and communicating insights. Manually crafting this logic can be cognit…

CHI '254th AuthorVisual Impairment Technologies (Screen Readers, Tactile Graphics, Braille)

TableNarrator: Making Image Tables Accessible to Blind and Low Vision People

The widespread use of image tables presents significant accessibility challenges for blind and low vision (BLV) people, limiting their access to critical data. Despite advancements in artificial intelligence (AI) for interpreting image tables, current solutions often fail to consider the specific needs of BLV users, l…

CHI '255th+ AuthorInteractive Data Visualization +1

ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization

Temporal Action Localization (TAL) aims to detect the start and end timestamps of actions in a video. However, the training of TAL models requires a substantial amount of manually annotated data. Data programming is an efficient method to create training labels with a series of human-defined labeling functions. Howeve…

UIST '245th+ AuthorFull-Body Interaction & Embodied Input +2

VisCourt: In-Situ Guidance for Interactive Tactic Training in Mixed Reality

In team sports like basketball, understanding and executing tactics---coordinated plans of movements among players---are crucial yet complex, requiring extensive practice. These tactics require players to develop a keen sense of spatial and situational awareness. Traditional coaching methods, which mainly rely on bask…

CHI '245th+ AuthorInteractive Data Visualization +1

VAID: Indexing View Designs in Visual Analytics System

Visual analytics (VA) systems have been widely used in various application domains. However, VA systems are complex in design, which imposes a serious problem: although the academic community constantly designs and implements new designs, the designs are difficult to query, understand, and refer to by subsequent desig…

UIST '234th AuthorFitness Tracking & Physical Activity Monitoring +1

AR-Enhanced Workouts: Exploring Visual Cues for At-Home Workout Videos in AR Environment

In recent years, with growing health consciousness, at-home workout has become increasingly popular for its convenience and safety. Most people choose to follow video guidance during exercising. However, our preliminary study revealed that fitness-minded people face challenges when watching exercise videos on handheld…

CHI '211st AuthorHuman Pose & Activity Recognition +1

EventAnchor: Reducing Human Interactions in Event Annotation of Racket Sports Videos

The popularity of racket sports (e.g., tennis and table tennis) leads to high demands for data analysis, such as notational analysis, on player performance. While sports videos offer many benefits for such analysis, retrieving accurate information from sports videos could be challenging. In this paper, we propose Even…

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