Qi Wang

👋 Hi! I’m currently a PhD candidate in Computer Technology at Beijing Institute of Technology, jointly advised by Prof. Tianfei Zhou, Prof. Ye Yuan and Prof. Rui Mao. I received my M.Eng. in Artificial Intelligence (2024) and B.Eng. in Energy and Power Engineering (2021) from Northeastern University (China), where I was advised by Prof. Ye Yuan during my master’s studies. Broadly, my long-term research goal is to develop embodied AI systems that integrate perception, reasoning, and goal-directed behavior to interact with the world in a human-like manner.

Research Interests

Spatial Intelligence
Visual Reasoning
Multi-modal Large Language Models

Academic Services

Conference Reviewer: NeurIPS’26, CVPR’26, ECCV’26, MICCAI’25, etc.
Journal Reviewer: TKDE, TKDD, MTA, etc.

News

May 2026	I joined Tencent Rhino-Bird Elite Training Program and got an offer from Tencent Project Up.
Jan 2026	Our Paper “PromptCGL” Accepted to SCIS!
Nov 2025	Our Paper “AbductiveMLLM” Accepted as Oral Presentation at AAAI 2026!
Nov 2025	I was awarded the China National Scholarship for Ph.D. Students (Top ~2% Nationwide).
Sep 2025	Our Paper “VideoRFT” Accepted to NeurIPS 2025!

Selected Publications

AAAI (Oral)

AbductiveMLLM: Boosting Visual Abductive Reasoning within MLLMs

Boyu Chang, Qi Wang, Xi Guo, Zhixiong Nan, Yazhou Yao, and Tianfei Zhou

In The Fortieth AAAI Conference on Artificial Intelligence, 2026

Bib PDF

@inproceedings{AbductiveMLLM,
  title = {AbductiveMLLM: Boosting Visual Abductive Reasoning within MLLMs},
  author = {Chang, Boyu and Wang, Qi and Guo, Xi and Nan, Zhixiong and Yao, Yazhou and Zhou, Tianfei},
  booktitle = {The Fortieth AAAI Conference on Artificial Intelligence},
  year = {2026},
}

SCIS

Prompt-Driven Continual Graph Learning

Qi Wang, Rui Mao, Ye Yuan, and Tianfei Zhou

Science China Information Sciences, 2026

Bib PDF

@article{promptCGL,
  title = {Prompt-Driven Continual Graph Learning},
  author = {Wang, Qi and Mao, Rui and Yuan, Ye and Zhou, Tianfei},
  journal = {Science China Information Sciences},
  year = {2026},
}

NeurIPS

VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning

Qi Wang, Yanrui Yu, Ye Yuan, Rui Mao, and Tianfei Zhou

In Advances in Neural Information Processing Systems, 2025

Bib PDF

@inproceedings{VideoRFT,
  title = {VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning},
  author = {Wang, Qi and Yu, Yanrui and Yuan, Ye and Mao, Rui and Zhou, Tianfei},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2025},
}

APWeb-WAIM

Noise-resistant graph neural networks for session-based recommendation

Qi Wang, Anbiao Wu, Ye Yuan, Yishu Wang, Guangqing Zhong, Xuefeng Gao, and Chenghu Yang

In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, 2024

Bib PDF

@inproceedings{NRGNN,
  title = {Noise-resistant graph neural networks for session-based recommendation},
  author = {Wang, Qi and Wu, Anbiao and Yuan, Ye and Wang, Yishu and Zhong, Guangqing and Gao, Xuefeng and Yang, Chenghu},
  booktitle = {Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data},
  pages = {144--160},
  year = {2024},
  organization = {Springer},
}