@inproceedings{zhao2020matching, title={Matching Neural Network for Extreme Multi-Label Learning}, author={Zhao, Zhiyun and Li, Fengzhi and Zuo, Yuan and Wu, Junjie}, booktitle={Journal of Physics: Conference Series}, volume={1642}, number={1}, pages={012013}, year={2020}, organization={IOP Publishing} }
@article{lin2021go, title={Where to go? Predicting next location in IoT environment}, author={Lin, Hao and Liu, Guannan and Li, Fengzhi and Zuo, Yuan}, journal={Frontiers of Computer Science}, volume={15}, number={1}, pages={151306}, year={2021}, publisher={Springer} }
@article{li2023boostxml, title={Boostxml: gradient boosting for extreme multilabel text classification with tail labels}, author={Li, Fengzhi and Zuo, Yuan and Lin, Hao and Wu, Junjie}, journal={IEEE Transactions on Neural Networks and Learning Systems}, volume={35}, number={11}, pages={15292--15305}, year={2023}, publisher={IEEE} }
@article{wang2024llms, title={Llms as zero-shot graph learners: Alignment of gnn representations with llm token embeddings}, author={Wang, Duo and Zuo, Yuan and Li, Fengzhi and Wu, Junjie}, journal={Advances in neural information processing systems}, volume={37}, pages={5950--5973}, year={2024} }
@article{qi2024memory, title={Memory-Tuning: A Unified Parameter-Efficient Tuning Method for Pre-Trained Language Models}, author={Qi, Wang and Liu, Rui and Zuo, Yuan and Li, Fengzhi and Chen, Yong and Wu, Junjie}, journal={IEEE Transactions on Audio, Speech and Language Processing}, volume={33}, pages={1--10}, year={2024}, publisher={IEEE} }
@article{li2026beyond, title={Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models}, author={Li, Fengzhi and Zhang, Liang and Zuo, Yuan and Zhao, Ruiqing and Liu, YanSong and Ma, Yunfei and Meng, Fanyu and Feng, Junlan}, journal={arXiv preprint arXiv:2603.02938}, year={2026} }
@article{zhao2026strategy, title={Strategy-Aware Optimization Modeling with Reasoning LLMs}, author={Zhao, Ruiqing and Li, Fengzhi and Zuo, Yuan and Liu, Rui and Liu, Yansong and Ma, Yunfei and Meng, Fanyu and Feng, Junlan}, journal={arXiv preprint arXiv:2605.02545}, year={2026} }
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