About Me

I am a Ph.D. student at the NLP Lab, Nanjing University, advised by Professor Jianbing Zhang. I received my M.S. from the same group and B.S. from the Kuang Yaming Honors School, Nanjing University. I also worked as a research intern at GenSI Lab in Institute for AI Industry Research (AIR), Tsinghua University, under the supervision of Professor Hao Zhou.

My research interests lie in AI for Science, particularly LLM for science, material representation learning and generative models. Previously, I worked on Vision–Language Models, emphasizing fine-grained cross-modal understanding and evaluation. I like various sports, such as basketball, table tennis, swimming.

Experience

Selected Publications

MOMA: A Simple Modular Learning Framework for Material Property Prediction
ICLR, 2026

A simple modular learning framework to tackle the diversity and disparity of material property prediction tasks.

Enhancing Spatial Reasoning in Large Language Models for Metal-Organic Frameworks Structure Prediction
KDD, 2026

An LLM-based metal-organic framework (MOF) structure predictor.

Digital Discovery 2025
Digital Discovery, 2025

A generative pipeline for inverse design of OLED molecular emitters with application-driven spectral properties, enabling rapid discovery cycles.

Full Publication List

AI for Science

Botian Wang, Yawen Ouyang, Yaohui Li, Mianzhi Pan, et al.
ICLR, 2026
Mianzhi Pan*, Tianhao Tan*, Yawen Ouyang*, et al.
Digital Discovery, 2025
Mianzhi Pan, Jianfei Li, Yawen Ouyang, et al.
AI4Mat Workshop @ ICLR 2025

Vision-Language Learning

Zheng Ma*, Mianzhi Pan*, Wenhan Wu, et al.
ACM Multimedia, 2023
Zheng Ma, Shi Zong, Mianzhi Pan, et al.
Findings of EMNLP, 2022