👤 About Me

I am a senior undergraduate student at Nankai University, and an incoming MPhil student at HKUST(GZ) (Red Bird MPhil Program, starting Fall 2026). I previously interned at the Language and Intelligence Lab and the Lab of MLLMs at HKUST(GZ), where I worked with Chengwei Qin.

My research interests lie in MLLM post-training, multimodal reinforcement learning, and latent-space reasoning. I am also broadly interested in agentic RL and its applications in scientific discovery.

If you are interested in my work or would like to chat about research, feel free to drop me an email!

🎓 Education

  • Nankai University, B.Eng. in Computer Science and Technology, 2022.09 - 2026.06, Tianjin, China.
  • The Hong Kong University of Science and Technology (Guangzhou), Incoming MPhil Student, starting 2026.09, Guangzhou, China.

📖 Publications

arXiv 2026
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LatentGeo: Learnable Auxiliary Constructions in Latent Space for Multimodal Geometric Reasoning

Haiying Xu*, Zihan Wang*, Song Dai*, Zhengxuan Zhang, Kairan Dou, Xuming Hu

NSMMSC 2025
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EchoVoices: Preserving Generational Voices and Memories for Seniors and Children

Haiying Xu*, Haoze Liu*, Mingshi Li, Siyu Cai, Guangxuan Zheng, Yuhuang Jia, Jinghua Zhao, Yong Qin

🛠 Skills

  • LLM Training: PyTorch, Hugging Face, LoRA, verl, MS-Swift, FlashAttention, PPO, DPO, GRPO.
  • Multimodal and Speech Models: CLIP, BLIP-2, LLaVA, Qwen-VL, InternVL, Whisper, VITS, Stable Diffusion.
  • RAG and Agents: LangChain, LlamaIndex, FAISS, Milvus, Function Calling, ReAct, Multi-Agent systems.
  • Programming: Python, C/C++, Linux, Docker, Git, LaTeX.