Zhao, Z., Li, F., Zuo, Y., & Wu, J. (2020, September). Matching Neural Network for Extreme Multi-Label Learning. In Journal of Physics: Conference Series (Vol. 1642, No. 1, p. 012013). IOP Publishing.
Lin, H., Liu, G., Li, F., & Zuo, Y. (2021). Where to go? Predicting next location in IoT environment. Frontiers of Computer Science, 15(1), 151306.
Li, F., Zuo, Y., Lin, H., & Wu, J. (2023). Boostxml: gradient boosting for extreme multilabel text classification with tail labels. IEEE Transactions on Neural Networks and Learning Systems, 35(11), 15292-15305.
Wang, D., Zuo, Y., Li, F., & Wu, J. (2024). Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings. Advances in Neural Information Processing Systems, 37, 5950-5973.
Qi, W., Liu, R., Zuo, Y., Li, F., Chen, Y., & Wu, J. (2024). Memory-Tuning: A Unified Parameter-Efficient Tuning Method for Pre-trained Language Models. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA