| Targeted attack for deep hashing based retrieval J Bai, B Chen, Y Li, D Wu, W Guo, S Xia, E Yang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 102 | 2020 |
| Constructions of Optimal Cyclic Locally Repairable Codes B Chen, ST Xia, J Hao, FW Fu IEEE Transactions on Information Theory 64 (4), 2499-2511, 2017 | 102 | 2017 |
| Bounds and constructions of locally repairable codes: parity-check matrix approach J Hao, ST Xia, KW Shum, B Chen, FW Fu, Y Yang IEEE Transactions on Information Theory 66 (12), 7465-7474, 2020 | 81 | 2020 |
| Constructions of Optimal Locally Repairable Codes via Constacyclic Codes B Chen, W Fang, ST Xia, FW Fu IEEE Transactions on Communications 67 (8), 5253-5263, 2019 | 66 | 2019 |
| Some results on optimal locally repairable codes J Hao, ST Xia, B Chen 2016 IEEE International Symposium on Information Theory (ISIT), 440-444, 2016 | 62 | 2016 |
| Contrastive quantization with code memory for unsupervised image retrieval J Wang, Z Zeng, B Chen, T Dai, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2468-2476, 2022 | 53 | 2022 |
| Improved bounds and singleton-optimal constructions of locally repairable codes with minimum distance 5 and 6 B Chen, W Fang, ST Xia, J Hao, FW Fu IEEE Transactions on Information Theory 67 (1), 217-231, 2020 | 49 | 2020 |
| Adversarial attack on deep product quantization network for image retrieval Y Feng, B Chen, T Dai, ST Xia Proceedings of the AAAI conference on Artificial Intelligence 34 (07), 10786 …, 2020 | 49 | 2020 |
| Deep image prior based defense against adversarial examples T Dai, Y Feng, B Chen, J Lu, ST Xia Pattern Recognition 122, 108249, 2022 | 46 | 2022 |
| On optimal ternary locally repairable codes J Hao, ST Xia, B Chen 2017 IEEE international symposium on information theory (ISIT), 171-175, 2017 | 46 | 2017 |
| Instance-aware dynamic prompt tuning for pre-trained point cloud models Y Zha, J Wang, T Dai, B Chen, Z Wang, ST Xia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 44 | 2023 |
| Gifd: A generative gradient inversion method with feature domain optimization H Fang, B Chen, X Wang, Z Wang, ST Xia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 39 | 2023 |
| Correlation-based structural dropout for convolutional neural networks Y Zeng, T Dai, B Chen, ST Xia, J Lu Pattern Recognition 120, 108117, 2021 | 26 | 2021 |
| Adversarial examples generation for deep product quantization networks on image retrieval B Chen, Y Feng, T Dai, J Bai, Y Jiang, ST Xia, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1388-1404, 2022 | 25 | 2022 |
| Privacy leakage on dnns: A survey of model inversion attacks and defenses H Fang, Y Qiu, H Yu, W Yu, J Kong, B Chong, B Chen, X Wang, ST Xia, ... arXiv preprint arXiv:2402.04013, 2024 | 24 | 2024 |
| Dipdefend: Deep image prior driven defense against adversarial examples T Dai, Y Feng, D Wu, B Chen, J Lu, Y Jiang, ST Xia Proceedings of the 28th ACM International Conference on Multimedia, 1404-1412, 2020 | 24 | 2020 |
| Towards compact 3d representations via point feature enhancement masked autoencoders Y Zha, H Ji, J Li, R Li, T Dai, B Chen, Z Wang, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 6962-6970, 2024 | 22 | 2024 |
| Vision-language pre-training with object contrastive learning for 3d scene understanding T Zhang, S He, T Dai, Z Wang, B Chen, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7296-7304, 2024 | 22 | 2024 |
| Pyramid hybrid pooling quantization for efficient fine-grained image retrieval Z Zeng, J Wang, B Chen, T Dai, ST Xia, Z Wang Pattern Recognition Letters 178, 106-114, 2024 | 20 | 2024 |
| Contrastive masked autoencoders for self-supervised video hashing Y Wang, J Wang, B Chen, Z Zeng, ST Xia Proceedings of the AAAI conference on artificial intelligence 37 (3), 2733-2741, 2023 | 20 | 2023 |
Shu-Tao XiaSIGS, Tsinghua UniversityVerified email at sz.tsinghua.edu.cn
