近年代表论文成果(1作或通讯)
当前位置: 中南大学郭克华的主页 >> 近年代表论文成果(1作或通讯)- [1]Jieyang Zhou, Ziliang Wang, Bin Hu, ying yang, Aoli He, Xianhong Wen, Kehua Guo(通讯).Trainable Topology Supervision under Structurally Unreliable Pseudo Supervision. NeurIPS 2026 accepted SpotLight
- [2]Rui Ding, Jing Hu, Mei Chen, Xi Wu, Hualin zhou, Fan Wu, Kehua Guo(通讯), Tao Gu.Temporal Prototype Alignment for Frozen-Feature Dataset Distillation.NeurIPS 2026 accepted.
- [3]Xianhong Wen, Sheng Ren, Bin Hu, Xiangyuan Zhu, Zehui Xiao and Kehua Guo(通讯). Dual Representation Aggregation Network for Blind Image Super-Resolution via Iterative Bi-level Optimization. IEEE Transactions on Multimedia, 2026, accepted.
- [4]Ying Yang, Bin Hu, Entong Zhu, Jieyang Zhou, and Kehua Guo(通讯). Lightweight UAV Multimodal Detection via Feature Sensing and Dual-Domain Augmentation. IEEE Transactions on Multimedia, 2026, accepted.
- [5]Zhuo Zhang, Entong Zhu, Zheng Wu, Tianyu Chen, Shengxiong Fan, and Kehua Guo(通讯). GLCT: A Novel Global-Local Constraint for Unpaired Image-to-Image Translation. IEEE Transactions on Multimedia, 2026, accepted.
- [6]Zhang, L., Ling, W., Daizhou, S., Kuang, L., & Guo, K. (通讯). CCL-Diff: Representation-Consistent Diffusion with Intrinsic Contrastive Learning for Recommender Systems.WWW 2026 (pp. 6786-6794).
- [7]Zhu, Xiangyuan, Kehua Guo(通讯), Hui Fang, Rui Ding, Zheng Wu, and Gerald Schaefer. "Gradient-based graph attention for scene text image super-resolution." AAAI, vol. 37, no. 3, pp. 3861-3869. 2023.
- [8]Guo, Kehua, Rui Ding, Tian Qiu, Xiangyuan Zhu, Zheng Wu, Liwei Wang, and Hui Fang. "Single domain generalization via unsupervised diversity probe." ACM MM, pp. 2101-2111. 2023.
- [9]R. Ding, K. Guo(通讯), H. Chen and X. Zhu, "Contrastive Diversity Augmentation for Single Domain Generalization," in IEEE Transactions on Multimedia, vol. 28, pp. 388-399, 2026.
- [10]Ding, Rui, Kehua Guo(通讯), Xiangyuan Zhu, Zheng Wu, and Liwei Wang. "Comgan: unsupervised disentanglement and segmentation via image composition." NeurIPS 35 (2022): 4638-4651.
- [11]K. Guo, Z. Wu, X. Wen, S. Guo, Z. Xi and T. Chen, "GAN Prior-Enhanced Novel View Synthesis From Monocular Degraded Images," in IEEE Transactions on Multimedia, vol. 27, pp. 5352-5362, 2025.
- [12]D. Rui, K. Guo(通讯), X. Zhu, Z. Wu and H. Fang, "Progressive Diversity Generation for Single Domain Generalization," in IEEE Transactions on Multimedia, vol. 26, pp. 10200-10210, 2024.
- [13]K. Guo et al., "ReE3D: Boosting Novel View Synthesis for Monocular Images using Residual Encoders," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2023.3347642.
- [14]K. Guo, C. Shen, B. Hu, M. Hu and X. Kui, "RSNet: Relation Separation Network for Few-Shot Similar Class Recognition," in IEEE Transactions on Multimedia, vol. 25, pp. 3894-3904, 2023.
- [15]X. Zhu, K. Guo(通讯), H. Fang, L. Chen, S. Ren and B. Hu, "Cross View Capture for Stereo Image Super-Resolution," in IEEE Transactions on Multimedia, vol. 24, pp. 3074-3086, 2022.
- [16]X. Zhu, K. Guo(通讯), S. Ren, B. Hu, M. Hu and H. Fang, "Lightweight Image Super-Resolution With Expectation-Maximization Attention Mechanism," in IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1273-1284.
- [17]B. Hu, K. Guo(通讯), T. Qiu and S. Guo, "Boosting Adversarial Training With Mitigating Hard Sample Interference," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2025.3648421.
- [18]Zehui Xiao，Xuyang Tan，Xianhong Wen，Xiangyuan Zhu，Kehua Guo(通讯). A Lightweight Multi-Modal Attention Fusion Network for Guided Depth Map Super-Resolution. ACM Transactions onMultimedia Computing,Communications, and Applications, 2026. accepted.
- [19]L. Zhang, W. Xiong, D. Wu, G. Liu, K. Guo(通讯) and X. Zhou, "Mul2UNet: Deformable Multi-Scale UNet With Decoupled Channel Fusion for Oral Squamous Cell Carcinoma Segmentation," in IEEE Transactions on Consumer Electronics, vol. 71, no. 3, pp. 8477-8491, Aug. 2025.
- [20]Zheng Wu, Kehua Guo(通讯), Zhuo Zhang, Rui Ding, and Xiaokang Zhou. 2026. MC-I2I: Multi-Cycle Guided Unpaired Image-to-Image Translation on Industrial Long-Tail Data. ACM Trans. Auton. Adapt. Syst. Just Accepted (July 2026). https://doi.org/10.1145/3831590.