ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. Z Peng, M Luo, J Li, H Liu, Q Zheng IJCAI 18, 3513-3519, 2018 | 159 | 2018 |
Semantics-guided contrastive network for zero-shot object detection C Yan, X Chang, M Luo, H Liu, X Zhang, Q Zheng IEEE transactions on pattern analysis and machine intelligence 46 (3), 1530-1544, 2022 | 73 | 2022 |
EEG-based emotion recognition with emotion localization via hierarchical self-attention Y Zhang, H Liu, D Zhang, X Chen, T Qin, Q Zheng IEEE Transactions on Affective Computing 14 (3), 2458-2469, 2022 | 33 | 2022 |
Dual-stream generative adversarial networks for distributionally robust zero-shot learning H Liu, L Yao, Q Zheng, M Luo, H Zhao, Y Lyu Information Sciences 519, 407-422, 2020 | 27 | 2020 |
Top-k multi-class SVM using multiple features C Yan, M Luo, H Liu, Z Li, Q Zheng Information Sciences 432, 479-494, 2018 | 26 | 2018 |
Detecting global and local topics via mining twitter data H Liu, Y Ge, Q Zheng, R Lin, H Li Neurocomputing 273, 120-132, 2018 | 25 | 2018 |
MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks Y Xiao, Q Pei, T Xiao, L Yao, H Liu Journal of Network and Computer Applications 177, 102954, 2021 | 24 | 2021 |
Multi-task generative adversarial learning on geometrical shape reconstruction from eeg brain signals X Zhang, X Chen, M Dong, H Liu, C Ge, L Yao arXiv preprint arXiv:1907.13351, 2019 | 17 | 2019 |
Progressive generative adversarial networks with reliable sample identification G Wei, M Luo, H Liu, D Zhang, Q Zheng Pattern Recognition Letters 130, 91-98, 2020 | 14 | 2020 |
Dual-channel graph contrastive learning for self-supervised graph-level representation learning Z Luo, Y Dong, Q Zheng, H Liu, M Luo Pattern Recognition 139, 109448, 2023 | 10 | 2023 |
An efficient multi-feature SVM solver for complex event detection H Liu, Q Zheng, Z Li, T Qin, L Zhu Multimedia Tools and Applications 77, 3509-3532, 2018 | 7 | 2018 |
How unlabeled web videos help complex event detection? H Liu, Q Zheng, M Luo, D Zhang, X Chang, C Deng International Joint Conference on Artificial Intelligence 2017, 4040-4046, 2017 | 6 | 2017 |
EEG-based multimodal emotion recognition: a machine learning perspective H Liu, T Lou, Y Zhang, Y Wu, Y Xiao, CS Jensen, D Zhang IEEE Transactions on Instrumentation and Measurement, 2024 | 5 | 2024 |
AutoEER: automatic EEG-based emotion recognition with neural architecture search Y Wu, H Liu, D Zhang, Y Zhang, T Lou, Q Zheng Journal of Neural Engineering 20 (4), 046029, 2023 | 4 | 2023 |
Social Image–Text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation H Liu, K Li, J Fan, C Yan, T Qin, Q Zheng IEEE Transactions on Affective Computing 14 (4), 3332-3344, 2022 | 4 | 2022 |
Memory transformation networks for weakly supervised visual classification H Liu, Q Zheng, M Luo, X Chang, C Yan, L Yao Knowledge-Based Systems 210, 106432, 2020 | 3 | 2020 |
基于排序学习的网络舆情演化趋势评估方法研究 秦涛, 沈壮, 刘欢, 陈周国 计算机研究与发展 57 (12), 2490-2500, 2020 | 3 | 2020 |
基于跨域对抗学习的零样本分类 刘欢, 郑庆华, 罗敏楠, 赵洪科, 肖阳, 吕彦章 计算机研究与发展 56 (12), 2521-2535, 2019 | 2 | 2019 |
Exploring open information via event network Y Chen, Q Zheng, F Tian, H Liu, Y Hao, N Shah Natural Language Engineering 24 (2), 199-220, 2018 | 2 | 2018 |
Cross-modal credibility modelling for EEG-based multimodal emotion recognition Y Zhang, H Liu, D Wang, D Zhang, T Lou, Q Zheng, C Quek Journal of Neural Engineering 21 (2), 026040, 2024 | 1 | 2024 |