I am currently a PhD student at The Hong Kong University of Science and Technology (Guangzhou), supervised by Professor Yutao Yue. I received my bachelor’s degree from Shandong University (Chongxin College).

My research focuses on generative models, including Text-to-Image (T2I), Text-to-Motion (T2M), Image Editing, and radio map generation, as well as explainable artificial intelligence (XAI).

If you are interested in academic discussion or potential collaboration, please feel free to contact me at chatoncws@gmail.com.

🔥 News

  • 2026.01 One paper are accepted by ICLR 2026. Congratulations to Kaishen!
  • 2026.01 Three paper are accepted by WWW TIME Workshop (Oral). Congratulations to the collaborators!
  • 2025.07 Three paper are accepted by ACM MM BNI Track 2025 (Oral). Congratulations to the collaborators!
  • 2025.07 Three paper are accepted by ACM MM 2025. Congratulations to the collaborators!
  • 2025.06 One paper is accepted by Automation in Construction (Q1, IF 11.5). Congratulations to the collaborators!
  • 2025.05 One paper of t2i is accepted by ICML 2025. Congratulations to the collaborators!
  • 2024.10 I will join Hong Kong University of Science and Technology (Guangzhou) as a PhD student in Fall 2025, supervised by Associate Professor Yutao Yue.
  • 2024.09 One paper of XAI is accepted by NeurIPS 2024. Congratulations to the collaborators!
  • 2024.09 I join CUHK(shenzhen) as a RA supervised by Professor Zhizheng Wu.
  • 2024.07 One paper of robustness of text-to-motion generation is accepted by ACM MM 2024. Congratulations to the collaborators!
  • 2023.12: I am a remote intern supervised by Professor Di Wang.
  • 2023.08: I am a remote intern supervised by Professor Chen Chen.
  • 2023.06: I join Agibot as a reasearch intern.

📝 Publications

2025

ICLR 2026
sym

CoEmoGen: Towards Semantically-Coherent and Scalable Emotional Image Content Generation

Kaishen Yuan, Yuting Zhang, Shang Gao, Yijie Zhu, Wenshuo Chen, Yutao Yue

Code

Preprint
sym

POLARIS: Projection-Orthogonal Least Squares for Robust and Adaptive Inversion in Diffusion Models

Wenshuo Chen, Haosen Li, Shaofeng Liang, Lei Wang, Haozhe Jia, Kaishen Yuan, Jieming Wu, Bowen Tian, Yutao Yue

Project Website Code

ACM MM 2025
sym

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model

Wenshuo Chen#, Kuimou Yu#, Haozhe Jia#, Kaishen Yuan, Zexu Huang, Bowen Tian, Songning Lai, Hongru Xiao, Erhang Zhang, Lei Wang, Yutao Yue

Code

ACM MM BNI 2025 (Oral)
sym

Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction

Haozhe Jia#, Wenshuo Chen#, Zhihui Huang#, Hongru Xiao, Nanqian Jia, Keming Wu, Songning Lai, Yutao Yue

Code

ICML 2025
sym

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space

Mang Ning, Mingxiao Li, Jianlin Su, Jia Haozhe, Lanmiao Liu, Martin Benes, Wenshuo Chen, Albert Ali Salah, Itir Onal Ertugrul

Code Zhihu

ACM MM 2025
sym

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces

Bowen Tian#, Wenshuo Chen#, Zexi Li, Songning Lai, Jiemin Wu, Yutao Yue

Code

ACM MM 2025
sym

From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve

Songning Lai, Ninghui Feng, Jiechao Gao, Hao Wang, Haochen Sui, Xin Zou, Jiayu Yang, Wenshuo Chen, Lijie Hu, Hang Zhao, Xuming Hu, Yutao Yue

Automation in Construction
sym

2024年

ACM MM 2024
sym

SATO: Stable Text-to-Motion Framework

Wenshuo Chen#, Hongru Xiao#, Erhang Zhang#, Lijie Hu, Lei Wang, Mengyuan Liu, Chen Chen

Project Code

NeurIPS 2024
sym

Towards Multi-dimensional Explanation Alignment for Medical Classification

Lijie Hu#, Songning Lai#, Wenshuo Chen#, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, and Di Wang

Preprints

Preprint
sym

Free-T2M: Frequency Enhanced Text-to-Motion Diffusion Model With Consistency Loss

Wenshuo Chen#, Haozhe Jia#, Songning Lai, Keming Wu, Hongru Xiao, Lijie Hu, Yutao Yue

Code

🎖 Honors and Awards

  • 2023.10 National first prize in CUMCM-2023 (Top 0.3%)
  • 2023.12 National Award for Intelligent Car 5G Communication Outdoor Competition 2023 (Top 0.2%).

📖 Educations

  • 2021.09 - 2025.06, Undergraduate Student, Shandong University, Qingdao.

💻 Internships

  • 2024.09 I join CUHK(shenzhen) as a RA supervised by Professor Zhizheng Wu.
  • 2023.12: I am a remote intern supervised by Professor Di Wang.
  • 2023.08: I am a remote intern supervised by Professor Chen Chen.
  • 2023.06: I join Agibot as a reasearch intern.