Dai-Jie Wu
Incoming Ph.D. Student in Computer Science @ University of Utah
daijie.wu@utah.edu
Bio
I am an incoming Ph.D. student in Computer Science at University of Utah in Spring 2026 under the supervision of Prof. Kenneth Marino. Currently, I am interning at SHENNONGSHI.AI, focusing on robot learning for cooking applications, and also collaborating with NTU Robot Learning Lab, advised by Prof. Shao-Hua Sun. My research focuses on robotics and autonomous agents.Previously, I worked at KAUST in Saudi Arabia, with Prof. Bernard Ghanem and Dr. Guohao Li, and at Academia Sinica with Dr. Jun-Cheng Chen.
News
- Sep., 2025 Will be attending CoRL and Humanoids 2025 conferences. See you in Seoul!
- Aug., 2025 Gave a talk on robot learning tutorial at ROS CON TAIWAN 2025! [Slides]
- Jun., 2025 Our CooT paper has been accepted to ICML 2025 MAS Workshop!
- May, 2025 Received PhD fellowship from Kahlert School of Computing at University of Utah!
- May, 2025 Started Robot Learning internship at SHENNONGSHI.AI, focusing on cooking applications!
- April, 2025 Our CRAB benchmark has been accepted to ACL Findings 2025!
- Oct., 2024 Our Diffusion Imitation from Observation paper has been accepted to NeurIPS 2024!
- Jul., 2024 Our CRAB benchmark has been accepted to NeurIPS 2024 OWA Workshop!
- May, 2024 Started collaboration with NTU Robot Learning Lab working on foundation models for robotics!
Publications
Most recent publications on Google Scholar.
* indicates equal contribution.
CooT🐦: Learning to Coordinate In-Context with Coordination Transformers
Huai-Chih Wang, Hsiang-Chun Chuang, Hsi-Chun Cheng, Dai-Jie Wu, Shao-Hua Sun
ICML 2025 MAS Workshop & ICLR 2026 (under review)
Diffusion Imitation from Observation
Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun
NeurIPS 2024
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents
Tianqi Xu*, Linyao Chen*, Dai-Jie Wu*, Yanjun Chen*, Zecheng Zhang, Xiang Yao, Zhiqiang Xie, Yongchao Chen, Shilong Liu, Philip Torr, Bernard Ghanem, Guohao Li
ACL Findings 2025 & NeurIPS 2024 OWA Workshop
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer
Pin-Yen Chiu*, Dai-Jie Wu*, Po-Hsun Chu, Chia-Hsuan Hsu, Hsiang-Chen Chiu, Chih-Yu Wang, Jun-Cheng Chen
Under Review
Cross-Modal and Cross-Domain Knowledge Transfer for Label-Free 3D Segmentation
Jingyu Zhang*, Huitong Yang*, Dai-Jie Wu*, Jacky Keung, Xuesong Li, Xinge Zhu, Yuexin Ma
Springer PRCV 2023
Towards Validating Face Editing Ability in Generative Models
Dai-Jie Wu*, Pin-Yen Chiu*, Chih-Yu Wang, Jun-Cheng Chen
IEEE VCIP 2024 (oral)
A high-throughput pipeline for phenotyping, object detection and quantification of leaf trichomes
Andrea González-Muñoz, Dai-Jie Wu, Ana Belén Perera-Rodríguez, Mohamed Rekik, Silvio Giancola, Brande B. H. Wulff, Catherine Gardener
Springer TAG 2025
Research Experience
University of Utah Salt Lake City, Utah, U.S.
Incoming Ph.D. Student in Computer Science Starting from Jan. 2026
Advisor: Prof. Kenneth Marino
SHENNONGSHI.AI Taipei, Taiwan
Research Intern May 2025 - Present
Robot Learning Lab, National Taiwan University Taipei, Taiwan
Research Assistant May 2024 - Present
Advisor: Prof. Shao-Hua Sun
King Abdullah University of Science and Technology Thuwal, Saudi Arabia
Research Engineer May 2023 - May 2024
Advisor: Prof. Bernard Ghanem, Dr. Guohao Li