On the minimal degree condition of graphs implying equality of the largest Kr-free subgraphs and (r - 1)-partite subgraphs. - Bingchen Qian; Chengfei Xie; Gennian Ge (Discret. Math., 2021)

Some results on k-Turán-good graphs. - Bingchen Qian; Chengfei Xie; Gennian Ge (Discret. Math., 2021)

Improved Lower Bounds for Strongly Separable Matrices and Related Combinatorial Structures. - Bingchen Qian; Xin Wang 065; Gennian Ge (IEEE Trans. Inf. Theory, 2023)

Covering Grassmannian Codes: Bounds and Constructions. - Bingchen Qian; Xin Wang 065; Chengfei Xie; Gennian Ge (IEEE Trans. Inf. Theory, 2023)

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. - Zhen Qin 004; Daoyuan Chen; Bingchen Qian; Bolin Ding; Yaliang Li; Shuiguang Deng (ICML, 2024)

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. - Weirui Kuang; Bingchen Qian; Zitao Li; Daoyuan Chen; Dawei Gao; Xuchen Pan; Yuexiang Xie; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2024)

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. - Jiamu Bai; Daoyuan Chen; Bingchen Qian; Liuyi Yao; Yaliang Li (NeurIPS, 2024)

Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. - Jiamu Bai; Daoyuan Chen; Bingchen Qian; Liuyi Yao; Yaliang Li (CoRR, 2024)

AgentScope: A Flexible yet Robust Multi-Agent Platform. - Dawei Gao; Zitao Li; Weirui Kuang; Xuchen Pan; Daoyuan Chen; Zhijian Ma; Bingchen Qian; Liuyi Yao; Lin Zhu; Chen Cheng; Hongzhu Shi; Yaliang Li; et al. (CoRR, 2024)

KIMAs: A Configurable Knowledge Integrated Multi-Agent System. - Zitao Li; Fei Wei; Yuexiang Xie; Dawei Gao; Weirui Kuang; Zhijian Ma; Bingchen Qian; Yaliang Li; Bolin Ding (CoRR, 2025)

Tree-based Models for Vertical Federated Learning: A Survey. - Bingchen Qian; Yuexiang Xie; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ACM Comput. Surv., 2025)