About Me
Iām Junlong Tong, a Ph.D. candidate in Computer Science at Shanghai Jiao Tong University and Eastern Institute of Technology (supervised by Dr. Xiaoyu Shen).
My research focuses on multimodal foundation models for dynamic real-world environments, with the goal of enabling models to perceive, reason, and interact continuously and proactively in real time. In particular, I focus on two complementary directions:
- Streaming LLMs/MLLMs, which study real-time multimodal perception, concurrent reasoning, and proactive interaction over continuous, long-horizon multimodal streams.
- Efficient LLMs/MLLMs, which investigate data/token/KV cache compression, layer pruning, and efficient inference for scalable deployment.
More broadly, I aim to build multimodal foundation models that are both capable of operating in continuous real-world settings and efficient enough for practical deployment at scale, and serve as the foundation for multimodal agents. I also have research experience in LLMs for time-series modeling, which complements my broader interest in temporal modeling over continuous data.
š” Seeking Research Internship Opportunities & Collaborations: I am actively seeking research internship opportunities in LLMs/MLLMs and am always open to academic collaborations. Feel free to reach out to me via jl-tong@sjtu.edu.cn!
News āØ
[2026.04] The survey of streaming LLMs has been accepted by ACL 2026 Findings.š
[2026.02] Three papsers are accepted by CVPR 2026.š
[2026.01] Two papers are accepted by ICLR 2026.š
[2025.08] One paper is accepted by EMNLP 2025.š
[2025.06] One paper is accepted by ICCV 2025.š
[2025.05] One paper is accepted by ACL 2025 Findings.š
[2025.05] One paper is accepted by ICML 2025.š