Hi there Welcome to my Homepage!

Hi! I am a senior (4th-year) undergraduate student at Xidian University.

My research interests lie at the intersection of natural language processing and computer vision, with a particular focus on multimodal representation learning. My long-term goal is to understand how human-like intelligence can emerge and to develop unified models that connect the physical world with human cognition.

I enjoy exploring new research directions and collaborating with researchers across disciplines. In my spare time, I also enjoy exploring Buddhist philosophy. Feel free to reach out if you are interested in research collaborations or other opportunities.

One day, I’ll become a chef and open my own restaurant; if you have my contact info, you’ll get a discount. 😏

Research interests
MLLM RSI Agentic Robot Efficient AI HCI BCI

News

  • 2026.10 🎉🎉 We released The Trinity.
  • 2026.07 🎉🎉 I became the Chief Research Officer of a startup.
  • 2026.05 🎉🎉 I joined Alibaba Group as an MLLM Research Intern.
  • 2026.04 🎉🎉 Two papers accepted to ACL 2026.
  • 2026.02 🎉🎉 One paper accepted to CVPR 2026.
  • 2026.01 🎉🎉 I joined TeleAI as an LLM Research Intern.
  • 2025.08 🎉🎉 One paper accepted to PRCV 2025.
  • 2025.07 🎉🎉 One paper accepted to ICCV 2025.
  • 2024.10 🎉🎉 I joined the HPC-AI Lab at NUS as a Research Assistant.

Education

Xidian University 2023.09 - Present
Undergraduate Student

Experience

Cardinal AI Lab, InfRec 2026.07 - Present
Chief Research Officer (Founding Member)
Leading research on recursive self-improvement and long-horizon world interaction.
Alibaba Group 2026.05 - 2026.07
MLLM Research Intern
Research on post-training, visual-semantic alignment, and large-scale e-commerce retrieval.
Institute of Artificial Intelligence of China Telecom 2026.01 - 2026.03
LLM Research Intern
AI infrastructure for LLM training and inference on Huawei Ascend 910B.
National University of Singapore 2024.10 - 2025.10
Research Assistant · HPC-AI Lab

Publications

(* equal contribution · † corresponding author · ‡ project leader)

The Trinity overview: Creator, Explorer, and Evolver co-evolve worlds and agent capabilities
The Trinity: Capability-Driven Recursive Self-Improvement for Multimodal Agents
Weidong Tang*, R. Wang*, J. Zhang*, H. Wang, H. Chen, Z. Zhang, Y. Ma, Z. Jiang, Z. Guo, H. Li, Z. Jiao, Z. Cui, X. Yin, S. Liang, Z. Wan, H. Lin, W. Zhao, K. Zhang, P. Zhou†, O. Zhang†, & Y. You†.
We introduce a capability-driven framework that couples world generation with agent harness evolution, enabling multimodal agents to recursively improve and transfer learned capabilities to unseen tasks.
arXiv preprint, 2026   [Paper] [GitHub] [Project Page]
wog
GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMs
Weidong Tang, Jierui Li, Yueling Hou, Zihan Mei, Can Zhang, Xinyan Wan, Zhiyuan Liang, Pengfei Zhou†, Yang You, Wangbo Zhao†
We propose GroupToM-Bench and show that current models fail at nonlinear group reasoning despite strong individual-level ToM, exposing a clear group cognitive gap.
ACL 2026   [Poster] [Paper] [Dataset]
wog
MagicBench: Diagnosing Visual Agency Loss and Semantic Dependency in Multimodal LLMs
Tang Da Huang, Weidong Tang‡, Wen Qi Xu, Xianpeng Guo†
The authors introduce MagicBench, a video dataset of magic tricks, to test if Multimodal LLMs actually rely on visual physics or if they are overly dependent on language narratives (which, in magic tricks, are deliberately deceptive).
ACL 2026   [Paper] [code]
wog
Efficient Video Object Segmentation and Tracking with Recurrent Dynamic Submodel
Weidong Tang, Zhiyuan Liang, Xinyan Wan, Chen Zhu, Zhaopan Xu, Pengfei Zhou, Yan Song, Yang You, Wangbo Zhao†
Proposed a Recurrent Dynamic Submodel for efficient Video Object Segmentation and Tracking. By integrating temporal-prior-guided global dynamic routing and Importance-aware LoRA, it achieves an optimal trade-off between performance and speed using minimal trainable parameters and training data.
CVPR 2026   [Poster] [Paper]
wog
Inference-Time Scaling for Visual AutoRegressive Modeling by Searching Representative Samples
Weidong Tang, Xinyan Wan, Siyu Li, Xiumei Wang†
Explored inference-time scaling in discrete spaces by mapping them to continuous spaces to obtain density distributions, thereby optimizing the sampling of early coarse-scale features.
PRCV 2025   [Poster] [arXiv] [code]

Projects

WowPage — clouds over a green field
WowPage
Weidong Tang, Yue Su.
In collaboration with Yue Su, I refined and improved his original homepage template. A clean standalone template version is coming soon.
Project   [code] [RedNote]

Blog

一半探索,一半自省。Exploring the world. Reflecting on the self.

悬停翻开书封 · Hover to open轻点翻开书封 · Tap to open

研究与技术手记Research & technical notes

Tech 技术

下一页,写给技术。The next page is for tech.

研究笔记与技术实践,待续。Research notes and technical explorations, coming soon.

0 篇手记 / notes01

思考未完,逐页续写。Thoughts in progress, one page at a time.

Awards

  • 2025 & 2026
    Second-Class Academic Scholarship Xidian University · Ranked 5/99 (2025)

Talks

Services

  • 2026.10 – Present
    Coordinator Xidian admissions group avatar Xidian Graduate Admissions Experience-Sharing Group (3,000 members)
  • 2025.06 – Present
    AI Team Lead 🌊Xidian–Inspur Club
  • Present
    Reviewer ICIC 2026, PRCV (2025, 2026), ICLR 2027