no code implementations • CoNLL (EMNLP) 2021 • Xia Li, Junyi He
Moreover, we also find that linguistic knowledge can be incorporated into data augmentation for generating more representative and more diverse synthetic data.
no code implementations • 26 Oct 2022 • Junyi He, Meimei Wu, Meng Li, Xiaobo Zhu, Feng Ye
Inspired by Transformer TTS, we propose a multilevel transformer model to perform fine-grained multimodal emotion recognition.
no code implementations • 31 Dec 2020 • Yu-Xiao Jiang, Jia-Xin Yin, M. Michael Denner, Nana Shumiya, Brenden R. Ortiz, Junyi He, Xiaoxiong Liu, Songtian S. Zhang, Guoqing Chang, Ilya Belopolski, Qi Zhang, Md Shafayat Hossain, Tyler A. Cochran, Daniel Multer, Maksim Litskevich, Zi-Jia Cheng, Xian P. Yang, Zurab Guguchia, Gang Xu, Ziqiang Wang, Titus Neupert, Stephen D. Wilson, M. Zahid Hasan
Here we use high-resolution scanning tunnelling microscopy (STM) to discover an unconventional charge order in a kagome material KV3Sb5, with both a topological band structure and a superconducting ground state.
Superconductivity Materials Science Strongly Correlated Electrons