Generative Creativity: Adversarial Learning for Bionic Design. - Simiao Yu; Hao Dong 003; Pan Wang 005; Chao Wu 001; Yike Guo (ICANN (3), 2019)

An artificial intelligence based data-driven approach for design ideation. - Liuqing Chen; Pan Wang 005; Hao Dong 003; Feng Shi 007; Ji Han; Yike Guo; Peter R. N. Childs; Jun Xiao 001; Chao Wu 001 (J. Vis. Commun. Image Represent., 2019)

Product semantics translation from brain activity via adversarial learning. - Pan Wang 005; Zhifeng Gong; Shuo Wang 011; Hao Dong 003; Jialu Fan; Ling Li 010; Peter R. N. Childs; Yike Guo (CoRR, 2021)

Human-in-the-loop design with machine learning - Pan Wang 005 (2021)

Typeface Generation through Style Descriptions With Generative Models. - Pan Wang 005; Xun Zhang; Zhibin Zhou 002; Peter R. N. Childs; Kun-Pyo Lee; Maaike Kleinsmann; Stephen Jia Wang (VRCAI, 2024)

Towards stereoscopic vision: Attention-guided gaze estimation with EEG in 3D space. - Dantong Qin; Yang Long 001; Xun Zhang; Zhibin Zhou 002; Yuting Jin; Pan Wang 005 (Neurocomputing, 2025)

Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality Evaluation. - Qian Wang; Hong-Ning Dai; Jinghua Yang; Cai Guo; Peter R. N. Childs; Maaike Kleinsmann; Yike Guo; Pan Wang 005 (ACM Comput. Surv., 2025)