Shangchao Su - RankMe

20 papers A* 4A 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MemFine: Memory-Aware Fine-Grained Scheduling for MoE Training. CoRR Lu Zhao, Rong Shi, Yue Sun, Shaoqing Zhang, Hongxing Niu, Yueqiang Chen, Baoguo He, Hongfeng Sun, Ziqing Yin, Shangchao Su, Zhiyan Cui, Liang Dong, Xiyuan Li, Lingbin Wang, Jianwei He, Jiesong Ma, Weikang Huang, Jianglei Tong, Dongdong Gao, Jian Zhang, Hong Tian, Zhaoqun Sun, Hui Shen
2025	J	`jnl`	MoFa: A Unified Performance Modeling Framework for LLM Pretraining. CoRR Lu Zhao, Rong Shi, Shaoqing Zhang, Shangchao Su, Ziqing Yin, Zhiyan Cui, Hongfeng Sun, Baoguo He, Yueqiang Chen, Liang Dong, Xiyuan Li, Lingbin Wang, Lijun Ma, Qiang Huang, Ting Liu, Chong Wang, Can Wei
2025	A*	`conf`	One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models. ICML Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
2025	A	`conf`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CIKM Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025	J	`jnl`	Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. CoRR Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2024	A*	`conf`	Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models. AAAI Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
2024	A*	`conf`	FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models. ACM Multimedia Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
2024	J	`jnl`	FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models. CoRR Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
2024	—	`conf`	FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients. ECCV (48) Shangchao Su, Bin Li, Xiangyang Xue
2024	A*	`conf`	Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning. AAAI Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue
2023	A	`conf`	Cross-domain Federated Object Detection. ICME Shangchao Su, Bin Li, Chengzhi Zhang, Mingzhao Yang, Xiangyang Xue
2023	J	`jnl`	Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model. CoRR Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
2023	J	`jnl`	FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients. CoRR Shangchao Su, Bin Li, Xiangyang Xue
2023	J	`jnl`	One-Shot Federated Learning with Classifier-Guided Diffusion Models. CoRR Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
2023	J	`jnl`	One-shot Federated Learning without server-side training. Neural Networks Shangchao Su, Bin Li, Xiangyang Xue
2023	J	`jnl`	Privacy-Preserving Collaborative Chinese Text Recognition with Federated Learning. CoRR Shangchao Su, Haiyang Yu, Bin Li, Xiangyang Xue
2022	J	`jnl`	Cross-domain Federated Adaptive Prompt Tuning for CLIP. CoRR Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue
2022	J	`jnl`	Cross-domain Federated Object Detection. CoRR Shangchao Su, Bin Li, Chengzhi Zhang, Mingzhao Yang, Xiangyang Xue
2022	J	`jnl`	Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning. CoRR Shangchao Su, Bin Li, Xiangyang Xue
2022	J	`jnl`	One-shot Federated Learning without Server-side Training. CoRR Shangchao Su, Bin Li, Xiangyang Xue