MeaeQ: Mount Model Extraction Attacks with Efficient Queries. - Chengwei Dai; Minxuan Lv; Kun Li; Wei Zhou 019 (EMNLP, 2023)

CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability. - Minxuan Lv; Chengwei Dai; Kun Li; Wei Zhou 019; Songlin Hu 001 (EMNLP, 2023)

GRAgent: A Generative Retrieval Framework for Action Subspace Selection. - Minxuan Lv; Kun Li; Wei Zhou 019; Songlin Hu 001 (CSCWD, 2025)

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. - Zhenpeng Su; Xing Wu 002; Zijia Lin; Yizhe Xiong; Minxuan Lv; Guangyuan Ma; Hui Chen 013; Songlin Hu 001; Guiguang Ding (NAACL (Long Papers), 2025)

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. - Minxuan Lv; Zhenpeng Su; Leiyu Pan; Yizhe Xiong; Zijia Lin; Hui Chen 013; Wei Zhou 019; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)

Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts. - Leiyu Pan; Zhenpeng Su; Minxuan Lv; Yizhe Xiong; Xiangwen Zhang; Zijia Lin; Hui Chen 013; Jungong Han; Guiguang Ding; Cheng Luo; Di Zhang; Kun Gai; et al. (CoRR, 2025)