| A comprehensive survey of clustering algorithms D Xu, Y Tian Annals of data science 2, 165-193, 2015 | 2392 | 2015 |
| Parameterized explainer for graph neural network D Luo, W Cheng, D Xu, W Yu, B Zong, H Chen, X Zhang Advances in neural information processing systems 33, 19620-19631, 2020 | 715 | 2020 |
| Infogcl: Information-aware graph contrastive learning D Xu, W Cheng, D Luo, H Chen, X Zhang Advances in Neural Information Processing Systems 34, 30414-30425, 2021 | 216 | 2021 |
| Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. D Xu, W Cheng, D Luo, X Liu, X Zhang IJCAI, 3947-3953, 2019 | 105 | 2019 |
| Co-regularized deep multi-network embedding J Ni, S Chang, X Liu, W Cheng, H Chen, D Xu, X Zhang Proceedings of the 2018 world wide web conference, 469-478, 2018 | 76 | 2018 |
| Accelerating dataset distillation via model augmentation L Zhang, J Zhang, B Lei, S Mukherjee, X Pan, B Zhao, C Ding, Y Li, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 64 | 2023 |
| Rewoo: Decoupling reasoning from observations for efficient augmented language models B Xu, Z Peng, B Lei, S Mukherjee, Y Liu, D Xu arXiv preprint arXiv:2305.18323, 2023 | 59 | 2023 |
| Rethinking Network Pruning--under the Pre-train and Fine-tune Paradigm D Xu, IEH Yen, J Zhao, Z Xiao arXiv preprint arXiv:2104.08682, 2021 | 58 | 2021 |
| Time series contrastive learning with information-aware augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023 | 57 | 2023 |
| A survey for efficient open domain question answering Q Zhang, S Chen, D Xu, Q Cao, X Chen, T Cohn, M Fang arXiv preprint arXiv:2211.07886, 2022 | 44 | 2022 |
| Adaptive neural network for node classification in dynamic networks D Xu, W Cheng, D Luo, Y Gu, X Liu, J Ni, B Zong, H Chen, X Zhang 2019 IEEE International Conference on Data Mining (ICDM), 1402-1407, 2019 | 44 | 2019 |
| Tensorized LSTM with adaptive shared memory for learning trends in multivariate time series D Xu, W Cheng, B Zong, D Song, J Ni, W Yu, Y Liu, H Chen, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1395-1402, 2020 | 43 | 2020 |
| Towards personalized federated learning via heterogeneous model reassembly J Wang, X Yang, S Cui, L Che, L Lyu, DDK Xu, F Ma Advances in Neural Information Processing Systems 36, 2024 | 40 | 2024 |
| Leveraging adversarial training in self-learning for cross-lingual text classification X Dong, Y Zhu, Y Zhang, Z Fu, D Xu, S Yang, G De Melo Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 36 | 2020 |
| Deep co-clustering D Xu, W Cheng, B Zong, J Ni, D Song, W Yu, Y Chen, H Chen, X Zhang Proceedings of the 2019 SIAM International Conference on Data Mining, 414-422, 2019 | 32 | 2019 |
| Sparse progressive distillation: Resolving overfitting under pretrain-and-finetune paradigm S Huang, D Xu, IEH Yen, Y Wang, SE Chang, B Li, S Chen, M Xie, ... arXiv preprint arXiv:2110.08190, 2021 | 31 | 2021 |
| Gentopia: A collaborative platform for tool-augmented llms B Xu, X Liu, H Shen, Z Han, Y Li, M Yue, Z Peng, Y Liu, Z Yao, D Xu arXiv preprint arXiv:2308.04030, 2023 | 21 | 2023 |
| Data augmentation with adversarial training for cross-lingual nli XL Dong, Y Zhu, Z Fu, D Xu, G De Melo Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 21 | 2021 |
| Transformer-style relational reasoning with dynamic memory updating for temporal network modeling D Xu, J Liang, W Cheng, H Wei, H Chen, X Zhang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4546-4554, 2021 | 21 | 2021 |
| Automated anomaly precursor detection W Cheng, D Xu, H Chen, M Natsumeda US Patent App. 16/520,632, 2020 | 19 | 2020 |
Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)Verifierad e-postadress på nec-labs.com