Bingchen Qian - RankMe

16 papers A* 3Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications. CoRR Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	KIMAs: A Configurable Knowledge Integrated Multi-Agent System. CoRR Zitao Li, Fei Wei, Yuexiang Xie, Dawei Gao, Weirui Kuang, Zhijian Ma, Bingchen Qian, Yaliang Li, Bolin Ding
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. CoRR Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Tree-based Models for Vertical Federated Learning: A Survey. ACM Comput. Surv. Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou
2024	J	`jnl`	Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. CoRR Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	A*	`conf`	Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. NeurIPS Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
2024	A*	`conf`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. ICML Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2024	A*	`conf`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	Covering Grassmannian Codes: Bounds and Constructions. IEEE Trans. Inf. Theory Bingchen Qian, Xin Wang, Chengfei Xie, Gennian Ge
2023	J	`jnl`	Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
2023	J	`jnl`	FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	Improved Lower Bounds for Strongly Separable Matrices and Related Combinatorial Structures. IEEE Trans. Inf. Theory Bingchen Qian, Xin Wang, Gennian Ge
2022	J	`jnl`	Covering Grassmannian Codes: Bounds and Constructions. CoRR Bingchen Qian, Xin Wang, Chengfei Xie, Gennian Ge
2021	J	`jnl`	On the minimal degree condition of graphs implying equality of the largest Discret. Math. Bingchen Qian, Chengfei Xie, Gennian Ge
2021	J	`jnl`	Some results on Discret. Math. Bingchen Qian, Chengfei Xie, Gennian Ge