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Journal Articles
- 2024
[j3]Guangzhi Xiong
, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang:
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data. Bioinform. 40(7) (2024)- 2023
- [j2]Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang:
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq. Bioinform. 39(8) (2023) - [j1]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Comput. Surv. 55(2): 35:1-35:36 (2023)
Conference and Workshop Papers
- 2024
- [c3]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. ACL (Findings) 2024: 6233-6251 - [c2]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. IJCAI 2024: 503-511 - [c1]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. KDD 2024: 2699-2710
Informal and Other Publications
- 2024
- [i7]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. CoRR abs/2402.13178 (2024) - [i6]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. CoRR abs/2405.00349 (2024) - [i5]Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. CoRR abs/2406.12036 (2024) - [i4]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. CoRR abs/2407.19300 (2024) - [i3]Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang:
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions. CoRR abs/2408.00727 (2024) - [i2]Guangzhi Xiong, Sanchit Sinha, Aidong Zhang:
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. CoRR abs/2410.04723 (2024) - 2021
- [i1]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Comprehensive Review. CoRR abs/2102.05281 (2021)
Coauthor Index
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