| Drug-Target Interaction Prediction by Learning From Local Information and Neighbors JP Mei, CK Kwoh, P Yang, XL Li, J Zheng Bioinformatics 29 (2), 238-245, 2013 | 421 | 2013 |
| Positive-Unlabeled Learning for Disease Gene Identification P Yang, XL Li, JP Mei, CK Kwoh, SK Ng Bioinformatics 28 (20), 2640-2647, 2012 | 231 | 2012 |
| GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization P Han*, P Yang*, P Zhao, S Shang, Y Liu, J Zhou, X Gao, P Kalnis ACM SIGKDD Conference On Knowledge Discovery and Data Mining (KDD-19), 2019 | 166 | 2019 |
| Ensemble positive unlabeled learning for disease gene identification P Yang, X Li, HN Chua, CK Kwoh, SK Ng PLOS ONE 9 (5), e97079, 2014 | 121 | 2014 |
| Incorporating Expert Knowledge into Keyphrase Extraction SD Gollapalli, XL Li, P Yang Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 3180-3187, 2017 | 119 | 2017 |
| Inferring gene-phenotype associations via global protein complex network propagation P Yang, X Li, M Wu, CK Kwoh, SK Ng PloS one 6 (7), e21502, 2011 | 107 | 2011 |
| Detecting temporal protein complexes from dynamic protein-protein interaction networks L Ou-Yang, DQ Dai, XL Li, M Wu, XF Zhang, P Yang BMC bioinformatics 15, 1-14, 2014 | 79 | 2014 |
| Robust Watermarking for Deep Neural Networks via Bi-level Optimization P Yang, Y Lao, P Li IEEE/CVF International Conference on Computer Vision (ICCV-2021), 14841-14850, 2021 | 67 | 2021 |
| Deceptive review spam detection via exploiting task relatedness and unlabeled data Z Hai, P Zhao, P Cheng, P Yang, XL Li, G Li Conference on empirical methods in natural language processing (EMNLP-16 …, 2016 | 65 | 2016 |
| Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling W Wu, Y Wang, JB Gomes, DT Anh, S Antonatos, M Xue, P Yang, GE Yap, ... IEEE International Conference Mobile Data Management, 321-328, 2014 | 64 | 2014 |
| One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching KD Doan, P Yang, P Li IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-2022 …, 2022 | 57 | 2022 |
| PGCN: Disease gene prioritization by disease and gene embedding through graph convolutional neural networks Y Li, H Kuwahara, P Yang, L Song, X Gao biorxiv, 532226, 2019 | 53 | 2019 |
| Mitigating Forgetting in Online Continual Learning with Neuron Calibration H Yin*, P Yang*, P Li Advances in Neural Information Processing (NeuIPS 2021), 2021 | 45 | 2021 |
| SupportNet: solving catastrophic forgetting in class incremental learning with support data Y Li, Z Li, L Ding, P Yang, Y Hu, W Chen, X Gao | 39 | 2018 |
| Defending backdoor attacks on vision transformer via patch processing KD Doan, Y Lao, P Yang, P Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 506-515, 2023 | 31 | 2023 |
| DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding Y Lao, W Zhao, P Yang, P Li Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2022), 2022 | 27 | 2022 |
| Robust Online Multi-Task Learning with Correlative and Personalized Structures P Yang, P Zhao, X Gao IEEE Transactions on Knowledge and Data Engineering (TKDE-17) 29 (11), 2510-2521, 2017 | 23 | 2017 |
| Identification for Deep Neural Network: Simply Adjusting Few Weights! Y Lao, P Yang, W Zhao, P Li The IEEE International Conference on Data Engineering (ICDE-2022), 2022 | 22 | 2022 |
| Reliable and Fast Estimation of Recombination Rates by Convergence Diagnosis and Parallel Markov Chain Monte Carlo J Guo, R Jain, P Yang, R Fan, CK Kowh, J Zheng IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (1), 63-72, 2014 | 22 | 2014 |
| An Aggressive Graph-based Selective Sampling Algorithm for Classification P Yang, P Zhao, VW Zheng, Xiao-Li LI IEEE International Conference on Data Mining (ICDM 2015), 509-518, 2015 | 21 | 2015 |
Peilin Zhao (赵沛霖)TencentPatvirtintas el. paštas tencent.com