Hi! I am now a PhD candidate at the Nanyang Technological University, CCDS, supervised by Prof. Erik Cambria.
🤔 My research interests include multimodal spatial 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
- 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, ARR, BMVC26.
- Journal Reviewer: IEEE TAFFC, IEEE TCSS, IEEE TIFS, PR, Neural Network, Neural Computing, IPM.
📝 Preprint
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MMOE: Modernizing Diffusion Transformers \with Efficient Expert Design, Yanhao Jia*, Jiepeng Wang*, Haibin Huang, Chi Zhang, Erik Cambria, Xuelong Li.
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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.
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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.
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ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors?, Bin Zhu*, Yanhao Jia*, Kexin Zhao*, et al.
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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.
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Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models, Jinming Wen, Xinyi Wu, Shuai Zhao, Yanhao Jia, Yuwen Li.
📝 Publications (Part, Full list in Google Scholar)
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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 2025Uni-Retrieval: A Multi-Style Retrieval Framework for STEM’s Education, Yanhao Jia*, Xinyi Wu*, Hao Li, Qinglin Zhang, Yuxiao Hu, Shuai Zhao, Wenqi Fan. -
Nuclear Science and TechniquesOML: An online multi-particle locating method for high-resolution single event effects studies, Yanhao Jia, Jianwei Liao, Haibo Yang, Qihao Duan, Longjie Wang, Jiangyong Du, Honglin Zhang, Chengxin Zhao. -
ECCV 2024FreestyleRet: Retrieving Images from Style-Diversified Queries, Hao Li*, Yanhao Jia*, Peng Jin, Zesen Cheng, Kehan Li, Jialu Sui, Chang Liu, Li Yuan. -
IEEE Trans on Affective ComputingTowards 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 ScienceHi’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
- 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
- 2026.03 - 2026.07, Research Intern, Centre for Multimodal Generation, TeleAI (Supervisor: Dr. Jiepeng Wang)
- 2024.07 - 2025.04, Research Intern, Centre for Frontier AI Research, A*STAR (Supervisor: Prof. Mengmi Zhang)
- 2023.04 - 2024.06, Research Intern, Peking University (Supervisor: Prof. Li Yuan)
- 2021.11 - 2023.03, AI Research Engineer, Shanghai AI Lab (Mentor: Dr. Ruohui Wang and Ms. Juan Dai)
- 2021.08 - 2021.09, AI Teaching Assistant, State Grid Fujian Electric Power Company