2024
- 2024.12: 🎉🎉 Our work “Higher-order cumulants in diffusion models” got the Best ‘Physics for AI’ Paper Award (Sponsored by Apple) in “Machine Learning and the Physical Sciences” Workshop at the 38th conference on Neural Information Processing Systems (NeurIPS), December 15, 2024.
- 2024.07: 🚆🚆 I was invited to attend the workshop of “EMMI Workshop at the University of Wrocław - Aspects of Criticality II” in Wrocław, Poland from 2nd to 4th July, and gave a plenary talk on “Exploring properties of extreme matter with machine learning”.
- 2024.05: 🚆🚆 I attended the workshop of “Machine Learning and the Renormalization Group” in ECT*, Italy from 27th to 31th May, and gave a talk on “Action estimation with continuous-mixture autoregressive networks”.
- 2024.05: 🎉🎉 Our new work of “Diffusion models as stochastic quantization in lattice field theory” has been published on Journal of High Energy Physics .
- 2024.05: 🚆🚆 I attended the workshop of “Spicy Gluons (胶麻) 2024” in Hefei from 15th to 18th May, and gave a plenary talk on “Deep Learning for Exploring QCD Matter”.
- 2024.04: 🎉🎉 “DEEP-IN” working group has been established at RIKEN-iTHEMS, the kick-off meeting was held on 23 of April.
- 2024.03: 🎉🎉 I start working as a Research Scientist(PI) in RIKEN-iTHEMS (理化学研究所 数理創造プログラム) from Mar. 2024.
2023
- 2023.12: 🎉🎉 I start working as a visiting scholar at Institute of Modern Physics(IMP) in Fudan University for two months.
- 2023.12: 🚆🚆 I attended the conference of “The 15th Workshop on QCD Phase Transition and Relativistic Heavy-Ion Physics (QPT 2023)” and gave a plenary talk of “Machine Learning for QCD Matter” .
- 2023.10: 🚆🚆 I visited many intitutions in China (SCNU, Tsinghua Uni. and CCNU), and attended the conference of “第三届中国格点量子色动力学研讨会” .
- 2023.07: 🚆🚆 I attended the conference of “XQCD 2023” at University of Coimbra from 26th to 28th Jul., and gave a talk on “Rebuilding Neutron Star EoSs from Observations with Deep Learning”.
- 2023.04: 🎉🎉 Our new work of “Reconstructing dense matter equation of state from neutron star observations” has been published on Phys. Rev. D .
- 2023.03: 🎉🎉 Our new review paper “Exploring QCD matter in extreme conditions with Machine Learning” was posted on arXiv:2303.15136. It aims to introduce machine learning approaches to our community comprehensively.
- 2023.03: 🎉🎉 Our new work of “Identifying lightning structures via machine learning” has been published on Chaos, Solitons & Fractals . 📢📢 It was also featured on the FIAS’s homepage , and reported by the media of Germany, e.g., HR TV , FAZ and Main Riedberg .
- 2023.03: 🎉🎉 Our new work of “Fourier-Flow Model” has been published on Phys. Rev. D .
- 2023.02: 🚆🚆 I attended the workshop “Machine Learning approaches in Lattice QCD” at TUM-IAS from 27th of Feb. to 3rd of Mar..