| 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 | 204 | 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 | 89 | 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 | 54 | 2022 |
| A low-rank matching attention based cross-modal feature fusion method for conversational emotion recognition Y Shou, H Liu, X Cao, D Meng, B Dong IEEE Transactions on Affective Computing, 2024 | 52 | 2024 |
| Masked contrastive graph representation learning for age estimation Y Shou, X Cao, H Liu, D Meng Pattern Recognition 158, 110974, 2025 | 47 | 2025 |
| Top-k multi-class SVM using multiple features C Yan, M Luo, H Liu, Z Li, Q Zheng Information Sciences 432, 479-494, 2018 | 30 | 2018 |
| 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 | 29 | 2020 |
| 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 | 25 | 2021 |
| 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 |
| 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 | 20 | 2023 |
| Reliable recommendation with review-level explanations Y Lyu, H Yin, J Liu, M Liu, H Liu, S Deng 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1548-1558, 2021 | 19 | 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 | 18 | 2019 |
| 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 | 17 | 2024 |
| 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 |
| 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 | 10 | 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 | 8 | 2022 |
| 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 | 8 | 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 |
| 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 | 5 | 2024 |
| 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 | 4 | 2020 |
