Hi! I am a PhD candidate at Nanyang Technological University, CCDS, supervised by Prof. Erik Cambria.

🤔 My research interests include multimodal 4D intelligence methods and their downstream applications on cross-fields. I keep collaboration with my friends Dr. Hao Li on Multi-Modal Tasks, Dr. Shuai Zhao on LLMs-related Tasks, and Dr. Xinyi Wu on AI4Education. Specifically, I aim to develop models that emulate human reasoning and enhance human productivity.

🤝 Looking for collaboration. If you are interested in working with me on AI tasks or AI4Sci tasks, please drop me an email.

🔥 News

09/2026: 🎉🎉 Qwen-Planner-Agent now released!
09/2026: 🎉🎉 Two papers are accepted by ACM Computing Surveys & Pattern Recognition
07/2026: 🎉🎉 One paper is accepted by IEEE Transactions on Information Forensics and Security
05/2026: 🎉🎉 Two papers are accepted by ACL2026 findings
03/2026: 🎉🎉 Two papers are accepted by Pattern Recognition & IEEE Transactions on Dependable and Secure Computing
02/2026: 🎉🎉 Two papers are accepted by ICLR2026 & IEEE Transactions on Affective Computing
11/2025: 🎉🎉 Two papers are accepted by AAAI2026 & IEEE Transactions on Affective Computing
05/2025: 🎉🎉 One paper is accepted by NIPS2025(Spotlight)
05/2025: 🎉🎉 Two papers are accepted by ACL2025(1 main & 1 findings)
04/2025: 🎉🎉 One paper is accepted by IEEE Transactions on Affective Computing
01/2025: 🎉🎉 Two papers are accepted by IEEE Trans on Nuclear Science & Journal of Instrumentation
09/2024: 🎉🎉 One paper is accepted by NIPS2024
07/2024: 🎉🎉 One paper is accepted by ECCV2024
Conference Reviewer: ACM MM24-26, ECCV24&26, KDD25&26, ICCV25, NIPS25&26, ICML26, AAAI26&27, ICLR27, ARR, BMVC26.
Journal Reviewer: IEEE TAFFC, IEEE TCSS, IEEE TIFS, PR, Neural Network, Neural Computing, IPM, KBS, ESWA.

📝 Preprint

MMOE: Modernizing Diffusion Transformers with Efficient Expert Design, Yanhao Jia^*, Jiepeng Wang^*, Haibin Huang, Chi Zhang, Erik Cambria, Xuelong Li.
Towards Spatial Reasoning and Understanding via Modeling Modality Conflict, Bias and Alignment, Yanhao Jia, Xinyi Wu, Jayant Teotia, Junhao Dong, Shuai Zhao, Piotr Koniusz, Erik Cambria.
Bridging World Models and Physical Simulation for Real-World 3D Scene Assets Generation, Yanhao Jia, Qinglin Yang, Hao Li, Wangbo Yu, Junhao Dong, Shuai Zhao.
ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors?, Bin Zhu^*, Yanhao Jia^*, Kexin Zhao^*, et al.
From query to explanation: Uni-rag for multi-modal retrieval-augmented learning in stem, Xinyi Wu, Yanhao Jia, Luwei Xiao, Shuai Zhao, Feng-Kuang Chiang, Erik Cambria.

📝 Publications (Part, Full list in Google Scholar)

NIPS 2025(Spotlight) Seeing sound, hearing sight: Uncovering modality bias and conflict of ai models in sound localization, Yanhao Jia, Ji Xie, S Jivaganesh, Hao Li, Xu Wu, Mengmi Zhang.
ACL 2025 Uni-Retrieval: A Multi-Style Retrieval Framework for STEM’s Education, Yanhao Jia^*, Xinyi Wu^*, Hao Li, Qinglin Zhang, Yuxiao Hu, Shuai Zhao, Wenqi Fan.
ACM Computing Surveys Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models, Jinming Wen, Xinyi Wu, Yuwen Li, Yanhao Jia, Shuai Zhao.
ECCV 2024 FreestyleRet: Retrieving Images from Style-Diversified Queries, Hao Li^*, Yanhao Jia^*, Peng Jin, et al.
IEEE Trans on Affective Computing Towards Affective Evaluation of STEM Education: Leveraging MLLMs in Project-Based Learning, Xinyi Wu, Yanhao Jia, Qinglin Zhang, Yiran Qin, Luwei Xiao, Shuai Zhao.
IEEE Trans on Nuclear Science Hi’Beam-SEE: A Real-time High-resolution Single Event Effects Locating Device for Heavy Ion Facilities, Jianwei Liao, Yanhao Jia, Shun Liao, et al.

👨‍💻 Open-Source Projects

📖 Educations

2024.07 - (now), Ph.D. in Computer Science, Nanyang Technological University
2023.04 - 2024.06, Visiting Scholar, Peking University (Supervisor: Prof. Li Yuan)
2021.09 - 2024.06, M.S. in Computer Science, University of Chinese Academy of Sciences (Supervisor: Prof. Chengxin Zhao)
2017.09 - 2021.06, B.S. in Computer Science, Shandong University

💻 Internships

2026.07 - (now), Research Intern, Alibaba (work with Dr. Yi Zhu, Dr. Yiran Zhong and Prof. Steven Hoi)
2026.03 - 2026.07, Research Intern, TeleAI (work with Dr. Jiepeng Wang, Dr. Haibin Huang and Prof. Xuelong Li)
2024.07 - 2025.04, Research Intern, A*STAR (work with Prof. Mengmi Zhang)
2021.11 - 2023.03, AI Research Engineer, Shanghai AI Lab (work with Dr. Ruohui Wang and Ms. Juan Dai)