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Xiaoqing Lyu
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2020 – today
- 2023
- [c25]Minchong Wu, Hongxiang Lin, Xiaoqing Lyu, Chenrui Zhang, Sun Yu:
Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening. BIBM 2023: 4975-4977 - [c24]Ruiqi Jia, Xianbing Feng, Xiaoqing Lyu, Zhi Tang:
Graph-Graph Context Dependency Attention for Graph Edit Distance. ICASSP 2023: 1-5 - [c23]Yixiao Zhou, Ruiqi Jia, Hongxiang Lin, Hefeng Quan, Yumeng Zhao, Xiaoqing Lyu:
Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network. NeurIPS 2023 - [c22]Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu:
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. SIGIR 2023: 2021-2025 - 2022
- [c21]Ruiqi Jia, Wentao Xie, Baole Wei, Guanren Qiao, Zonglin Yang, Xiaoqing Lyu, Zhi Tang:
Molecular Formula Image Segmentation with Shape Constraint Loss and Data Augmentation. BIBM 2022: 3821-3823 - [c20]Baole Wei, Ruiqi Jia, Shihan Fu, Xiaoqing Lyu, Liangcai Gao, Zhi Tang:
MIR: A Benchmark for Molecular Image Retrival with a Cross-modal Pretraining Framework. BIBM 2022: 3902-3904 - [c19]Haihua Xie, Xiaoqing Lyu, Xuefei Chen:
String Editing Based Chinese Grammatical Error Diagnosis. COLING 2022: 5335-5344 - 2021
- [c18]Xianbing Feng, Jingwei Qu, Tianle Wang, Bei Wang, Xiaoqing Lyu, Zhi Tang:
Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction. BIBM 2021: 1299-1302 - [c17]Jingwei Qu, Bei Wang, Zhixun Li, Xiaoqing Lyu, Zhi Tang:
Understanding Multivariate Drug-Target-DiseaseInterdependence via Event-Graph. BIBM 2021: 1685-1687 - [c16]Jingwei Qu, Haibin Ling, Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
Adaptive Edge Attention for Graph Matching with Outliers. IJCAI 2021: 966-972 - 2020
- [c15]Haowen Sun, Xiaoqing Lyu, Bei Wang, Yifan Wang, Zhi Tang, Zhenming Liu:
An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding. BIBM 2020: 1137-1141 - [c14]Bei Wang, Chenrui Zhang, Hao Zhang, Xiaoqing Lyu, Zhi Tang:
Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation. CIKM 2020: 2249-2252 - [c13]Chenrui Zhang, Yifeng Huang, Xiaoqing Lyu, Zhi Tang:
Topology Discriminative Pooling via Graph Kernel Derived Nodes and Edges Co-Embedding. ICME 2020: 1-6 - [c12]Haihua Xie, Zhiyou Chen, Yabo Li, Shaoling Jing, Xiaoqing Lyu, Zhi Tang:
SemBRS: A Semantic Analysis Based Book Retrieval Approach. MIPR 2020: 101-104
2010 – 2019
- 2019
- [c11]Chenrui Zhang, Xiaoqing Lyu, Yifeng Huang, Zhi Tang, Zhenming Liu:
Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning. BIBM 2019: 326-329 - [c10]Xin Li, Xiaoqing Lyu, Zhi Tang, Hao Zhang:
Chemical Similarity Based on Map Edit Distance. BIBM 2019: 1220-1222 - [c9]Bei Wang, Xiaoqing Lyu, Zhi Tang, Yifan Wang:
Comparison of Molecule Graph Representation with Similarity Consistency. BIBM 2019: 1250-1252 - [c8]Bei Wang, Xiaoqing Lyu, Jingwei Qu, Haowen Sun, Zehua Pan, Zhi Tang:
GNDD: A Graph Neural Network-Based Method for Drug-Disease Association Prediction. BIBM 2019: 1253-1255 - [c7]Xin Li, Xiaoqing Lyu, Hao Zhang, Keqi Hu, Zhi Tang:
Regularizing Variational Autoencoders for Molecular Graph Generation. ICONIP (5) 2019: 467-476 - [c6]Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning. ACM Multimedia 2019: 1641-1649 - [c5]Haihua Xie, Aolin Li, Yabo Li, Jing Cheng, Zhiyou Chen, Xiaoqing Lyu, Zhi Tang:
Automatic Chinese Spelling Checking and Correction Based on Character-Based Pre-trained Contextual Representations. NLPCC (2) 2019: 540-549 - [i2]Penghui Sun, Jingwei Qu, Xiaoqing Lyu, Haibin Ling, Zhi Tang:
Graph Attribute Aggregation Network with Progressive Margin Folding. CoRR abs/1905.05347 (2019) - [i1]Chenrui Zhang, Xiaoqing Lyu, Zhi Tang:
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning. CoRR abs/1908.11503 (2019) - 2018
- [c4]Yitao Liu, Xiaoqing Lyu, Haihua Xie, Xiaotong Yan, Bei Wang, Zhi Tang:
A method for improving the reliability of causal inference from large-scale data in biomedicine. BIBM 2018: 693-696 - [c3]Penghui Sun, Xiaoqing Lyu, Xin Li, Bei Wang, Xiaohan Yi, Zhi Tang:
Understanding Markush Structures in Chemistry Documents With Deep Learning. BIBM 2018: 1126-1129 - [c2]Penghui Sun, Yan Chen, Xiaoqing Lyu, Bei Wang, Jingwei Qu, Zhi Tang:
A Free-Sketch Recognition Method for Chemical Structural Formula. DAS 2018: 157-162 - [c1]Jingwei Qu, Xiaoqing Lyu, Chengcui Zhang, Penghui Sun, Bei Wang, Zhi Tang:
PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity. MIPR 2018: 45-50
Coauthor Index
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