A survey on dialogue systems: Recent advances and new frontiers H Chen, X Liu, D Yin, J Tang Acm Sigkdd Explorations Newsletter 19 (2), 25-35, 2017 | 844 | 2017 |
Graph structure learning for robust graph neural networks W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang KDD 2020 (ACM SIGKDD International Conference on Knowledge Discovery & Data …, 2020 | 568 | 2020 |
Is homophily a necessity for graph neural networks? Y Ma, X Liu, N Shah, J Tang ICLR 2022 (International Conference on Learning Representations), 2021 | 228 | 2021 |
Trustworthy AI: A Computational Perspective H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, AK Jain, J Tang ACM Transactions on Intelligent Systems and Technology, 2022 | 186 | 2022 |
To be robust or to be fair: Towards fairness in adversarial training H Xu*, X Liu*, Y Li, A Jain, J Tang International Conference on Machine Learning, 11492-11501, 2021 | 161 | 2021 |
A unified view on graph neural networks as graph signal denoising Y Ma, X Liu, T Zhao, Y Liu, J Tang, N Shah Proceedings of the 30th ACM International Conference on Information …, 2021 | 154 | 2021 |
Elastic graph neural networks X Liu, W Jin, Y Ma, Y Li, H Liu, Y Wang, M Yan, J Tang International Conference on Machine Learning, 6837-6849, 2021 | 109 | 2021 |
Graph trend filtering networks for recommendation W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 79 | 2022 |
A pointing gesture based egocentric interaction system: Dataset, approach and application Y Huang, X Liu, X Zhang, L Jin Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 69 | 2016 |
Automated self-supervised learning for graphs W Jin, X Liu, X Zhao, Y Ma, N Shah, J Tang ICLR 2022 (International Conference on Learning Representations), 2021 | 68 | 2021 |
A Double Residual Compression Algorithm for Efficient Distributed Learning X Liu, Y Li, J Tang, M Yan AISTATS 2020 (International Conference on Artificial Intelligence and …, 2020 | 65 | 2020 |
Deep adversarial network alignment T Derr, H Karimi, X Liu, J Xu, J Tang Proceedings of the 30th ACM international conference on information …, 2021 | 54 | 2021 |
Graph neural networks with adaptive residual X Liu, J Ding, W Jin, H Xu, Y Ma, Z Liu, J Tang Advances in Neural Information Processing Systems 34, 9720-9733, 2021 | 52 | 2021 |
Linear Convergent Decentralized Optimization with Compression X Liu, Y Li, R Wang, J Tang, M Yan ICLR 2021 (International Conference on Learning Representations), 2021 | 47 | 2021 |
Deepfinger: A cascade convolutional neuron network approach to finger key point detection in egocentric vision with mobile camera Y Huang, X Liu, L Jin, X Zhang 2015 IEEE international conference on systems, man, and cybernetics, 2944-2949, 2015 | 42 | 2015 |
Epidemic graph convolutional network T Derr, Y Ma, W Fan, X Liu, C Aggarwal, J Tang WSDM 2020 (International Conference on Web Search and Data Mining), 160-168, 2020 | 36 | 2020 |
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective W Jin, X Liu, Y Ma, C Aggarwal, J Tang ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2022 | 31 | 2022 |
Jointly attacking graph neural network and its explanations W Fan, W Jin, X Liu, H Xu, X Tang, S Wang, Q Li, J Tang, J Wang, ... IEEE International Conference on Data Engineering (ICDE 2023), 2021 | 30 | 2021 |
Deep Adversarial Canonical Correlation Analysis W Fan, Y Ma, H Xu, X Liu, J Wang, Q Li, J Tang ICDM 2020 (SIAM International Conference on Data Mining), 352-360, 2020 | 24 | 2020 |
Imbalanced adversarial training with reweighting W Wang, H Xu, X Liu, Y Li, B Thuraisingham, J Tang Proceedings of the 2022 IEEE International Conference on Data Mining (ICDM), 2021 | 18 | 2021 |