Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search. - Chun Jiang Zhu; Minghu Song; Qinqing Liu; Chloé Becquey; Jinbo Bi (J. Chem. Inf. Model., 2020)

Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. - Chunjiang Zhu; Qinqing Liu; Jinbo Bi (ICML, 2021)

Communication Efficient Distributed Hypergraph Clustering. - Chun Jiang Zhu; Qinqing Liu; Jinbo Bi (SIGIR, 2021)

Multi-view spectral graph convolution with consistent edge attention for molecular modeling. - Chao Shang; Qinqing Liu; Qianqian Tong; Jiangwen Sun; Minghu Song; Jinbo Bi (Neurocomputing, 2021)

Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. - Qinqing Liu; Fei Dou; Meijian Yang; Ezana Amdework; Guiling Wang; Jinbo Bi (IJCAI, 2023)

Research on Improved Semi-Supervised Learning Fault Diagnosis Based on SE Module. - Xinna Ma; Xiu Liang; Yiyang Li; Yu Tang; Qinqing Liu; Xuepeng Zheng (ISCSIC, 2023)

CWDCGAN-GP Fault Diagnosis Method for Rolling Bearing Under Imbalanced Sample Conditions. - Xinna Ma; Yiyang Li; Yu Tang; Xiu Liang; Xuepeng Zheng; Qinqing Liu (ISCSIC, 2023)

Deep Reinforcement Learning Bearing Fault Diagnosis Method Based on Improved Reward Function. - Xinna Ma; Qinqing Liu; Xuepeng Zheng; Yu Tang; Yiyang Li; Xiu Liang (ISCSIC, 2023)

Partial Domain Bearing Fault Diagnosis Method Based on Weighted Bi-Classifier. - Xinna Ma; Yu Tang; Xiu Liang; Qinqing Liu; Yiyang Li; Xuepeng Zheng (ISCSIC, 2023)

Research on bearing fault diagnosis based on improved dense connection network. - Xinna Ma; Xuepeng Zheng; Qinqing Liu; Yu Tang; Yiyang Li; Xiu Liang (ISCSIC, 2023)