Position:
Assistant Professor
Affiliation:
Shanghai Innovation Institute
Email:
jjgongjj+wk[AT]gmail.com
I am an Assistant Professor at the Shanghai Innovation Institute, where my research explores the cutting edge of Embodied AI. My primary goal is to push the frontiers of multimodal large models into the physical world, bridging the gap between digital intelligence and physical interaction. My research interests span Machine Learning (ML), Reinforcement Learning (RL) and Natural Language Processing (NLP), with a particular focus on Large Language Models (LLMs). Additionally, I have a deep passion for advanced Generative Models, including Diffusion Models, Flow Matching, and Bayesian Flow Networks.
Before joining the Institute, I was a Postdoctoral Fellow at the Institute for AI Industrial Research, Tsinghua University, working with Prof. Weiying Ma and Prof. Hao Zhou, focusing on bio-molecular generative models. I obtained my Ph.D. from Fudan University, advised by Prof. Xipeng Qiu and Prof. Xuanjing Huang, where my work concentrated on Natural Language Processing (NLP). I have served as reviewer for top-tier conferences including NeurIPS, ICML, ICLR, ACL, EMNLP and AAAI, and was honored to be an Area Chair for ICLR 2026.
Feel free to reach out to me if you are interested in building cool things together!
News
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Selected Publications
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