| Contrastive clustering Y Li, P Hu, Z Liu, D Peng, JT Zhou, X Peng Proceedings of the AAAI conference on artificial intelligence 35 (10), 8547-8555, 2021 | 683 | 2021 |
| Deep supervised cross-modal retrieval L Zhen, P Hu, X Wang, D Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 482 | 2019 |
| Massive MIMO linear precoding: A survey N Fatema, G Hua, Y Xiang, D Peng, I Natgunanathan IEEE systems journal 12 (4), 3920-3931, 2017 | 278 | 2017 |
| Spectrogram based multi-task audio classification Y Zeng, H Mao, D Peng, Z Yi Multimedia Tools and Applications 78, 3705-3722, 2019 | 185 | 2019 |
| Scalable deep multimodal learning for cross-modal retrieval P Hu, L Zhen, D Peng, P Liu Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 151 | 2019 |
| Unsupervised contrastive cross-modal hashing P Hu, H Zhu, J Lin, D Peng, YP Zhao, X Peng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3877-3889, 2022 | 139 | 2022 |
| A dual-channel time-spread echo method for audio watermarking Y Xiang, I Natgunanathan, D Peng, W Zhou, S Yu IEEE Transactions on Information Forensics and Security 7 (2), 383-392, 2011 | 122 | 2011 |
| Twin contrastive learning for online clustering Y Li, M Yang, D Peng, T Li, J Huang, X Peng International Journal of Computer Vision 130 (9), 2205-2221, 2022 | 119 | 2022 |
| Underdetermined blind source separation using sparse coding L Zhen, D Peng, Z Yi, Y Xiang, P Chen IEEE transactions on neural networks and learning systems 28 (12), 3102-3108, 2016 | 112 | 2016 |
| Effective pseudonoise sequence and decoding function for imperceptibility and robustness enhancement in time-spread echo-based audio watermarking Y Xiang, D Peng, I Natgunanathan, W Zhou IEEE Transactions on Multimedia 13 (1), 2-13, 2010 | 96 | 2010 |
| Deep drug-target binding affinity prediction with multiple attention blocks Y Zeng, X Chen, Y Luo, X Li, D Peng Briefings in bioinformatics 22 (5), bbab117, 2021 | 95 | 2021 |
| Multi-view linear discriminant analysis network P Hu, D Peng, Y Sang, Y Xiang IEEE Transactions on Image Processing 28 (11), 5352-5365, 2019 | 95 | 2019 |
| Spread spectrum audio watermarking using multiple orthogonal PN sequences and variable embedding strengths and polarities Y Xiang, I Natgunanathan, D Peng, G Hua, B Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (3), 529-539, 2017 | 93 | 2017 |
| Underdetermined blind source separation based on relaxed sparsity condition of sources D Peng, Y Xiang IEEE Transactions on Signal Processing 57 (2), 809-814, 2008 | 86 | 2008 |
| Hierarchical consensus hashing for cross-modal retrieval Y Sun, Z Ren, P Hu, D Peng, X Wang IEEE Transactions on Multimedia 26, 824-836, 2023 | 84 | 2023 |
| Deep evidential learning with noisy correspondence for cross-modal retrieval Y Qin, D Peng, X Peng, X Wang, P Hu Proceedings of the 30th ACM International Conference on Multimedia, 4948-4956, 2022 | 76 | 2022 |
| Multimodal adversarial network for cross-modal retrieval P Hu, D Peng, X Wang, Y Xiang Knowledge-Based Systems 180, 38-50, 2019 | 70 | 2019 |
| Comprehensive and delicate: An efficient transformer for image restoration H Zhao, Y Gou, B Li, D Peng, J Lv, X Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 64 | 2023 |
| Drsl: Deep relational similarity learning for cross-modal retrieval X Wang, P Hu, L Zhen, D Peng Information Sciences 546, 298-311, 2021 | 59 | 2021 |
| Evolving deep convolutional variational autoencoders for image classification X Chen, Y Sun, M Zhang, D Peng IEEE Transactions on Evolutionary Computation 25 (5), 815-829, 2020 | 58 | 2020 |
