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Shengyan Liu
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2020 – today
- 2024
- [i2]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, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng:
SciCode: A Research Coding Benchmark Curated by Scientists. CoRR abs/2407.13168 (2024) - [i1]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, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi:
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs. CoRR abs/2411.14199 (2024) - 2023
- [j2]Shengyan Liu, Yao Zhou, Xiao Wang:
WDBA method for probabilistic linguistic MAGDM with entropy weight and application to consumer competitiveness evaluation in creative and cultural industries. J. Intell. Fuzzy Syst. 44(2): 3399-3409 (2023) - 2022
- [j1]Shengyan Liu, Xuejie Zhang, Xiaobing Zhou, Jian Yang:
BPI-MVQA: a bi-branch model for medical visual question answering. BMC Medical Imaging 22(1): 79 (2022) - [c6]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
Photonic Crystal Enhanced Quantum Dot Biosensor for Cancer-associated miRNA Detection. IEEE SENSORS 2022: 1-4 - 2021
- [c5]Jie Li, Shengyan Liu:
Lijie at ImageCLEFmed VQA-Med 2021: Attention Model-based Efficient Interaction between Multimodality. CLEF (Working Notes) 2021: 1275-1284 - 2020
- [c4]Shengyan Liu, Haiyan Ding, Xiaobing Zhou:
Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task. CLEF (Working Notes) 2020 - [c3]Xiaozhi Ou, Shengyan Liu, Hongling Li:
YNU-oxz at SemEval-2020 Task 5: Detecting Counterfactuals Based on Ordered Neurons LSTM and Hierarchical Attention Network. SemEval@COLING 2020: 683-689
2010 – 2019
- 2019
- [c2]Shengyan Liu, Xiaozhi Ou, Jiao Che, Xiaobing Zhou, Haiyan Ding:
An Xception-GRU Model for Visual Question Answering in the Medical Domain. CLEF (Working Notes) 2019 - [c1]Bin Wang, Yunxia Ding, Shengyan Liu, Xiaobing Zhou:
YNU_Wb at HASOC 2019: Ordered Neurons LSTM with Attention for Identifying Hate Speech and Offensive Language. FIRE (Working Notes) 2019: 191-198
Coauthor Index
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