Biography

Hi! I am Bingyuan Wang, a Ph.D. candidate in the Computational Media and Arts (CMA) Thrust at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Zeyu Wang and Prof. Qifeng Chen. I am also a Research Scientist Intern at Adobe Research London, where I am lucky to work with Dr. Yulia Gryaditskaya, Dr. Sam Sartor, and Dr. Tuanfeng Wang.

With an interdisciplinary background in Electronic Engineering (B.S.) and Chinese Language and Literature (B.A.) from Peking University, I strive to understand, integrate, and reimagine traditional aesthetics and contemporary humanities through cutting-edge AI technologies.

My current research lies at the intersection of Generative AI, Affective Computing, Immersive Storytelling, and Cultural Heritage. I am passionate about unleashing the synergistic potential between Generative Models and human creativity, particularly in immersive, affective, and artistic visual content generation.

News

Featured Research

EmotionLens: Interactive visual exploration of the circumplex emotion space in literary works via affective word clouds
Bingyuan Wang, Qing Shi, Xiaohan Wang, You Zhou, Wei Zeng, Zeyu Wang
Visual Informatics
Paper
MagicScroll: Enhancing immersive storytelling with controllable scroll image generation
Bingyuan Wang, Hengyu Meng, Rui Cao, Zeyu Cai, Lanjiong Li, Yue Ma, Qifeng Chen, Zeyu Wang
IEEE VR 2025 (Invited Poster Presentation at SIGGRAPH Asia 2025)
Paper Project Page Code
EmoVid: A Multimodal Emotion Video Dataset for Emotion-Centric Video Understanding and Generation
Zongyang Qiu*, Bingyuan Wang*, Xingbei Chen, Yingqing He, Zeyu Wang
AAAI 2026 (Oral)
Paper Project Page
DiT4Edit image editing overview
DiT4Edit: Diffusion Transformer for Image Editing
Kunyu Feng*, Yue Ma*, Bingyuan Wang*, Chenyang Qi, Haozhe Chen, Qifeng Chen, Zeyu Wang
AAAI 2025
Paper
EmoSpace panoramic and stylized emotional generation examples
EmoSpace: Immersive Affective Image Generation Guided by Fine-Grained Emotion Prototypes
Bingyuan Wang, Xingbei Chen, Zongyang Qiu, Lin-Ping Yuan, Zeyu Wang
In revision
Paper
EmoWorld emotional video generation and control examples
EmoWorld: A Decoupled Affective Field for Controllable Emotional Video Generation
Bingyuan Wang, Baistan Zhyldyzbekov, Kunyu Feng, Zeyu Wang
In submission
Paper