An Xception-GRU Model for Visual Question Answering in the Medical Domain. - Shengyan Liu; Xiaozhi Ou; Jiao Che; Xiaobing Zhou; Haiyan Ding (CLEF (Working Notes), 2019)

YNU_Wb at HASOC 2019: Ordered Neurons LSTM with Attention for Identifying Hate Speech and Offensive Language. - Bin Wang; Yunxia Ding; Shengyan Liu; Xiaobing Zhou (FIRE (Working Notes), 2019)

Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task. - Shengyan Liu; Haiyan Ding; Xiaobing Zhou (CLEF (Working Notes), 2020)

YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network. - Xiaozhi Ou; Shengyan Liu; Hongling Li (SemEval@COLING, 2020)

Lijie at ImageCLEFmed VQA-Med 2021: Attention Model-based Efficient Interaction between Multimodality. - Jie Li; Shengyan Liu (CLEF (Working Notes), 2021)

Photonic Crystal Enhanced Quantum Dot Biosensor for Cancer-associated miRNA Detection. - Yanyu Xiong; Qinglan Huang; Taylor D. Canady; Priyash Barya; Shengyan Liu; Opeyemi H. Arogundade; Caitlin M. Race; Congnyu Che; Xiaojing Wang; Lifeng Zhou; Anh Igarashi; Xing Wang 009; et al. (IEEE SENSORS, 2022)

BPI-MVQA: a bi-branch model for medical visual question answering. - Shengyan Liu; Xuejie Zhang 002; Xiaobing Zhou; Jian Yang (BMC Medical Imaging, 2022)

SciCode: A Research Coding Benchmark Curated by Scientists. - Minyang Tian; Luyu Gao; Shizhuo Dylan Zhang; Xinan Chen; Cunwei Fan; Xuefei Guo; Roland Haas; Pan Ji; Kittithat Krongchon; Yao Li; Shengyan Liu; Di Luo; et al. (NeurIPS, 2024)

SciCode: A Research Coding Benchmark Curated by Scientists. - Minyang Tian; Luyu Gao; Shizhuo Dylan Zhang; Xinan Chen; Cunwei Fan; Xuefei Guo; Roland Haas; Pan Ji; Kittithat Krongchon; Yao Li; Shengyan Liu; Di Luo; et al. (CoRR, 2024)

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. - Akari Asai; Jacqueline He; Rulin Shao; Weijia Shi; Amanpreet Singh; Joseph Chee Chang; Kyle Lo; Luca Soldaini; Sergey Feldman; Mike D'Arcy; David Wadden; Matt Latzke; et al. (CoRR, 2024)