Personal profile

Overview

Yizhi Li is currently a Computer Science PhD student funded by the University of Manchester, supervised by Prof. Chenghua Lin. He is also a co-founder of the Multimodal Art Projection (M-A-P) research community. I’ve collaborated with Dr. Jie Fu and had a lot of fun. He previously worked as a research assistant at Tsinghua NLP Lab with Prof. Zhiyuan Liu.

His research interests include music modelling, fairness in NLP, and general topics of natural language modelling. More can be referred to the publication pages.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

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Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • First Measurement of η Meson Production in Neutrino Interactions on Argon with MicroBooNE

    Abratenko, P., Alterkait, O., Aldana, D. A., Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., Barr, G., Barrow, J., Basque, V., Rodrigues, O. B., Berkman, S., Bhanderi, A., Bhat, A., Bhattacharya, M., Bishai, M., Blake, A. & Bogart, B. & 167 others, Bolton, T., Book, J. Y., Camilleri, L., Cao, Y., Caratelli, D., Terrazas, I. C., Cavanna, F., Cerati, G., Chen, Y., Conrad, J. M., Convery, M., Cooper-Troendle, L., Crespo-Anadon, J. I., Del Tutto, M., Dennis, S. R., Detje, P., Devitt, A., Diurba, R., Djurcic, Z., Dorrill, R., Duffy, K., Dytman, S., Eberly, B., Englezos, P., Ereditato, A., Evans, J. J., Fine, R., Finnerud, O. G., Foreman, W., Fleming, B. T., Foppiani, N., Franco, D., Furmanski, A. P., Garcia-Gamez, D., Gardiner, S., Ge, G., Gollapinni, S., Goodwin, O., Gramellini, E., Green, P., Greenlee, H., Gu, W., Guenette, R., Guzowski, P., Hagaman, L., Hen, O., Hicks, R., Hilgenberg, C., Horton-Smith, G. A., Imani, Z., Irwin, B., Itay, R., James, C., Ji, X., Jiang, L., Jo, J. H., Johnson, R. A., Jwa, Y.-J., Kalra, D., Kamp, N., Karagiorgi, G., Ketchum, W., Kirby, M., Kobilarcik, T., Kreslo, I., Leibovitch, M. B., Lepetic, I., Li, J.-Y., Li, K., Li, Y., Lin, K., Littlejohn, B. R., Louis, W. C., Luo, X., Mariani, C., Marsden, D., Marshall, J., Martinez, N., Caicedo, D. A. M., Mason, K., Mastbaum, A., McConkey, N., Meddage, V., Miller, K., Mills, J., Mogan, A., Mohayai, T., Mooney, M., Moor, A. F., Moore, C. D., Lepin, L. M., Mulleriababu, S., Naples, D., Navrer-Agasson, A., Nayak, N., Nebot-Guinot, M., Nowak, J., Oza, N., Palamara, O., Pallat, N., Paolone, V., Papadopoulou, A., Papavassiliou, V., Parkinson, H. B., Pate, S. F., Patel, N., Pavlovic, Z., Piasetzky, E., Ponce-Pinto, I. D., Pophale, I., Prince, S., Qian, X., Raaf, J. L., Radeka, V., Rafique, A., Reggiani-Guzzo, M., Ren, L., Rochester, L., Rondon, J. R., Rosenberg, M., Ross-Lonergan, M., von Rohr, C. R., Scanavini, G., Schmitz, D. W., Schukraft, A., Seligman, W., Shaevitz, M. H., Sharankova, R., Shi, J., Snider, E. L., Soderberg, M., Soldner-Rembold, S., Spitz, J., Stancari, M., St John, J., Strauss, T., Sword-Fehlberg, S., Szelc, A. M., Tang, W., Taniuchi, N., Terao, K., Thorpe, C., Torbunov, D., Totani, D., Toups, M., Tsai, Y.-T., Tyler, J., Uchida, M. A., Usher, T., Viren, B., Weber, M., Wei, H., White, A. J., Williams, Z., Wolbers, S., Wongjirad, T., Wospakrik, M., Wresilo, K., Wright, N., Wu, W., Yandel, E., Yang, T., Yates, L. E., Yu, H. W., Zeller, G. P., Zennamo, J. & Zhang, C., 10 Apr 2024, In: Physical Review Letters. 132, 15, 7 p., 151801.

    Research output: Contribution to journalArticlepeer-review

  • MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

    Li, Y., Yuan, R., Zhang, G., Ma, Y., Chen, X., Yin, H., Lin, C., Ragni, A., Benetos, E., Gyenge, N., Dannenberg, R., Liu, R., Chen, W., Xia, G., Shi, Y., Huang, W., Guo, Y. & Fu, J., 16 Jan 2024.

    Research output: Contribution to conferencePosterpeer-review

  • OmniBench: Towards The Future of Universal Omni-Language Models

    Li, Y., Zhang, G., Ma, Y., Yuan, R., Zhu, K., Guo, H., Liang, Y., Liu, J., Yang, J., Wu, S. & others, C. H., 2024, In: arXiv.

    Research output: Contribution to journalArticle