Leilei Gan
College of Software and Technology |
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Biography
Hi! I'm an assistant researcher in the College of Software and Technology at Zhejiang University. Before that, I obtained my Ph.D. degree in computer science and technology from Zhejiang University under the co-supervision of Prof. Fei Wu and Prof. Yi Yang. I am also so lucky to work with Prof. Jiwei Li and Associated Prof. Kun Kuang. My research interests include natural language processing and deep learning. Currently, I study foundation models, including pre-training, fine-tuning, alignment, and their applications on downstream tasks.
Note: I am always interested in taking self-motivated students. Contact me if you are very interested in deep learning and NLP.
News
- [2024.05] LoraRetriever was accepted by the findings of ACL 2024.
- [2024.03] One paper was accepted by the findings of NAACL 2024.
- [2023.10] One paper was accepted by the findings of EMNLP 2023.
- [2022.10] One paper was accepted by the main conference of EMNLP 2022.
- [2022.08] One paper was accepted by TASLP.
- [2022.04] One paper was accepted by the main conference of NAACL 2022.
- [2022.02] One paper was accepted by the main conference of ACL 2022.
- [2021.11] It's my great honor to be sponsored by the CAAI-Huawei MindSpore Open Fund.
- [2020.12] One paper was accepted by AAAI 2021.
- [2020.09] One paper was accepted by TASLP.
Publications
- Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu. LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild, Findings of ACL, 2024
- Shuai Zhao, Leilei Gan, Anhtuan Luu, Jie Fu, Lingjuan Lv, Huizi Jiamei, Jinming-Wen. Defending Against Weight-Poisoning Attacks for Parameter-Efficient Fine-Tuning, Findings of NAACL, 2024
- Leilei Gan, Baokui Li, Kun Kuang, Fei Wu, Yi Yang. Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction, Findings of EMNLP, 2023
- Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples, EMNLP, 2022.
- Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang. SemGloVe: Semantic Co-occurrences for GloVe from BERT, TASLP, 2022.
- Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Shangwei Guo, Chun Fan. Triggerless Backdoor Attack for NLP Tasks with Clean Labels, NAACL, 2022.
- Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li. Dependency Parsing as MRC-based Span-Span Prediction, ACL, 2022.
- Leilei Gan, Kun Kuang, Yi Yang, and Fei Wu. Judgment Prediction via Injecting Legal Knowledge into Neural Networks, AAAI, 2021.
- Leilei Gan, Yue Zhang. Investigating Self-Attention Network for Chinese Word Segmentation, TASLP, 2020.
- Jie Zhang, Zhili Zhou, Shu Li, Leilei Gan, Xuyun Zhang, Lianyong Qi, Xiaolong Xu, Wanchun Dou. Hybrid computation offloading for smart home automation in mobile cloud computing, Personal and Ubiquitous Computing, 2018.