Wei Zeng

schoolHong Kong University of Science and Technologybar_chart#702 Global Rank

Total Papers

HCI Rank

#702

Research Areas

Years Active

Recent Publications

Agency-Enhanced Visual Search in VR: Robust to Distraction, Delay, and Perspective Shifts

The sense of agency, the internal feeling of controlling one's actions and their outcomes, fundamentally shapes user interaction in virtual environments. Although extensively studied for its subjective impact, agency’s implicit yet critical role in guiding visual-spatial attention has been largely overlooked. This stu…

CHI '265th+ AuthorGenerative AI (Text, Image, Music, Video) +2

InkIdeator: Supporting Chinese-Style Visual Design Ideation via AI-Infused Exploration of Chinese Paintings

Visual designers often seek inspiration from Chinese paintings when tasked with creating Chinese-style illustrations, posters, etc. Our formative study (N=10) reveals that during ideation, designers learn the cultural symbols, emotions, compositions, and styles in Chinese paintings but face challenges in searching, an…

CHI '25CorrespondingGenerative AI (Text, Image, Music, Video) +1

GenColor: Generative Color-Concept Association in Visual Design

Existing approaches for color-concept association typically rely on query-based image referencing, and color extraction from image references. However, these approaches are effective only for common concepts, and are vulnerable to unstable image referencing and varying image conditions. Our formative study with design…

CHI '25CorrespondingHonorable MentionGenerative AI (Text, Image, Music, Video) +1

SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches

Text-to-image models can generate visually appealing images from text descriptions. Efforts have been devoted to improving model controls with prompt tuning and spatial conditioning. However, our formative study highlights the challenges for non-expert users in crafting appropriate prompts and specifying fine-grai…

CSCW '24CorrespondingSession 2f: UX, Visual Communication and Design

The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language Model

Image search is an essential and user-friendly method to explore vast galleries of digital images. However, existing image search methods heavily rely on proximity measurements like tag matching or image similarity, requiring precise user inputs for satisfactory results. To meet the growing demand for a contemporary i…

CHI '24CorrespondingSocial & Collaborative VR +1

VirtuWander: Enhancing Multi-modal Interaction for Virtual Tour Guidance through Large Language Models

Tour guidance in virtual museums encourages multi-modal interactions to boost user experiences, concerning engagement, immersion, and spatial awareness. Nevertheless, achieving the goal is challenging due to the complexity of comprehending diverse user needs and accommodating personalized user preferences. Informed by…

CHI '243rd AuthorAR Navigation & Context Awareness +2

Make Interaction Situated: Designing User Acceptable Interaction for Situated Visualization in Public Environments

Situated visualization blends data into the real world to fulfill individuals’ contextual information needs. However, interacting with situated visualization in public environments faces challenges posed by users’ acceptance and contextual constraints. To explore appropriate interaction design, we first conduct a form…

CHI '24CorrespondingGenerative AI (Text, Image, Music, Video) +2

PlantoGraphy: Incorporating Iterative Design Process into Generative Artificial Intelligence for Landscape Rendering

Landscape renderings are realistic images of landscape sites, allowing stakeholders to perceive better and evaluate design ideas. While recent advances in Generative Artificial Intelligence (GAI) enable automated generation of landscape renderings, the end-to-end methods are not compatible with common design processes…

CHI '24CorrespondingHuman-LLM Collaboration +2

C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model

Interior color design is a creative process that endeavors to allocate colors to furniture and other elements within an interior space. While much research focuses on generating realistic interior designs, these automated approaches often misalign with user intention and disregard design rationales. Informed by a need…

CHI '24CorrespondingGenerative AI (Text, Image, Music, Video) +1

IntentTuner: An Interactive Framework for Integrating Human Intentions in Fine-tuning Text-to-Image Generative Models

Fine-tuning facilitates the adaptation of text-to-image generative models to novel concepts (e.g., styles and portraits), empowering users to forge creatively customized content. Recent efforts on fine-tuning focus on reducing training data and lightening computation overload but neglect alignment with user intentions…

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