EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information. - Shaoming Song; Hongfei Cui; Shengquan Chen; Qiao Liu 008; Rui Jiang 001 (Quant. Biol., 2019)

Loosely Coupled Federated Learning Over Generative Models. - Shaoming Song; Yunfeng Shao 001; Jian Li (CoRR, 2020)

FedPHP: Federated Personalization with Inherited Private Models. - Xin-Chun Li; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (ECML/PKDD (1), 2021)

Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes. - Xin-Chun Li; Le Gan; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (CoRR, 2021)

Preliminary Steps Towards Federated Sentiment Classification. - Xin-Chun Li; De-Chuan Zhan; Yunfeng Shao 001; Bingshuai Li; Shaoming Song (CoRR, 2021)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yichu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CVPR, 2022)

Avoid Overfitting User Specific Information in Federated Keyword Spotting. - Xin-Chun Li; Jin-Lin Tang; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; Le Gan; De-Chuan Zhan (INTERSPEECH, 2022)

Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again. - Xin-Chun Li; Wen-Shu Fan; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; De-Chuan Zhan (NeurIPS, 2022)

Federated Learning with Position-Aware Neurons. - Xin-Chun Li; Yi-Chu Xu; Shaoming Song; Bingshuai Li; Yinchuan Li; Yunfeng Shao 001; De-Chuan Zhan (CoRR, 2022)

MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes. - Xin-Chun Li; Shaoming Song; Yinchuan Li; Bingshuai Li; Yunfeng Shao 001; Yang Yang 074; De-Chuan Zhan (IEEE Trans. Knowl. Data Eng., 2024)