Selected Publications (Full Publications Google Scholar)
Graph Learning & AI4RAN
Z. Shan, X. Yi, H. Yu, C. Liao, and S. Jin, “Revisiting Topological Interference Management: A Learning-to-Code on Graphs Perspective,” IEEE Transactions on Communications (TCOM), 2025.
Z. Shan, X. Yi, L. Liang, C. Liao, and S. Jin, “GRLinQ: A Hybrid Model/Data-Driven Spectrum Sharing Mechanism for Device-to-Device Communications,” IEEE Transactions on Communications (TCOM), 2025.
K. Huang, L. Liang, X. Yi, H. Ye, S. Jin, and G. Li, “Meta-Learning Empowered Graph Neural Networks for Radio Resource Management,” IEEE Transactions on Communications (TCOM), 2025.
J. Guo, K. Huang, R. Zhang, and X. Yi, “ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
J. Liu, X. Yi, and X. Huang, “DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks,” IEEE Transactions on Artificial Intelligence (TAI), 2024.
J. Guo, K. Huang, X. Yi, R. Zhang, “Learning Disentangled Graph Convolutional Networks Locally and Globally,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
J. Guo, K. Huang, X. Yi, and R. Zhang, “Graph Neural Networks with Diverse Spectral Filtering,” International World Wide Web Conference (WWW’23), 2023.
G. Liu, X. Huang, and X. Yi, “Adversarial label poisoning attack on graph neural networks via label propagation,” European Conference on Computer Vision (ECCV’22), 2022.
Learning Theory & Trustworthy AI
J. Liu, X. Yi, X. Yin, Y. Song, G. Jin, and X. Huang, ``Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention,'' Transactions on Machine Learning Research (TMLR), 2025.
G. Jin, X. Yi, W. Huang, S. Schewe, and X. Huang, “S2O: Enhancing Adversarial Training with Second-Order Statistics of Weights,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
G. Jin, R. Mu, X. Yi, X. Huang, and L. Zhang, “Invariant Correlation of Representation with Label,” IEEE Transactions on Information Forensics & Security (TIFS), 2025.
S. Zhang, Z. Qian, K. Huang, Q. Wang, B. Gu, H. Xiong, and X. Yi, “Inter-feature Relationship Certifies Robust Generalization of Adversarial Training,” International Journal of Computer Vision (IJCV), 2024.
G. Jin, X. Yi, D. Wu, R. Mu, X. Huang, “Randomized adversarial training via Taylor expansion,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
G. Jin, X. Yi, P. Yang, L. Zhang, S. Schewe, and X. Huang, “Weight expansion: A new perspective on dropout and generalization,” Transactions on Machine Learning Research (TMLR), 2022.
X. Yi, “Asymptotic spectral representation of linear convolutional layers,” IEEE Transactions on Signal Processing (TSP), vol. 70, 2022, pp. 566–581.
G. Jin, X. Yi, W. Huang, S. Schewe, X. Huang, “Enhancing adversarial training with second-order statistics of weights,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
S. Zhang, Z. Qian, K. Huang, Q. Wang, R. Zhang, X. Yi, “Towards better robust generalization with shift consistency regularization,” International Conference on Machine Learning (ICML), 2021.
G. Jin, X. Yi, L. Zhang, L. Zhang, S. Schewe, and X. Huang, “How does weight correlation affect generalisation ability of deep neural networks?” Conference on Neural Information Processing Systems (NeurIPS), 2020.
Information Theory & Communications
H. Yu, X. Yi, and G. Caire, “Topological pilot assignment in large-scale distributed MIMO networks,” IEEE Transactions on Wireless Communications (TWC), 2022.
Y. Liang, C. Liao, and X. Yi, “Topological interference management with adversarial topology perturbation: An algorithmic perspective,” IEEE Transactions on Communications (TCOM), 2022.
H. Joudeh, X. Yi, B. Clerckx, G. Caire, "On the optimality of treating inter-cell interference as noise: Downlink cellular networks and uplink-downlink duality," IEEE Transactions on Information Theory (TIT), vol. 66, no. 11, pp. 6939-6961, Nov. 2020.
X. Yi and H. Sun, “Opportunistic topological interference management,” IEEE Transactions on Communications (TCOM), vol. 68, no. 1, pp. 521-535, Jan. 2020.
X. Yi and H. Sun, “Opportunistic treating interference as noise,” IEEE Transactions on Information Theory (TIT), vol. 66, no. 1, pp. 520-533, Jan. 2020.
X. Yi and G. Caire, “Topological interference management with decoded message passing,” IEEE Transactions on Information Theory (TIT), vol. 64, no. 5, pp. 3842-3864, May 2018.
X. Yi, H. Sun, S. Jafar, and D. Gesbert, “TDMA is optimal for all-unicast DoF region of TIM if and only if topology is chordal bipartite,” IEEE Transactions on Information Theory (TIT), vol. 64, no. 3, pp. 2065– 2076, Mar. 2018.
X. Yi and G. Caire, “Optimality of treating interference as noise: A combinatorial perspective,” IEEE Transactions on Information Theory (TIT), vol. 62, no. 8, pp. 4654–4673, Aug. 2016.
X. Yi and D. Gesbert, “Topological interference management with transmitter cooperation,” IEEE Transactions on Information Theory (TIT), vol. 61, no. 11, pp. 6107–6130, Nov. 2015.
X. Yi, S. Yang, D. Gesbert, and M. Kobayashi, “The degrees of freedom region of temporally correlated MIMO networks with delayed CSIT,” IEEE Transactions on Information Theory (TIT), vol. 60, no. 1, pp. 594–614, Jan. 2014.
S. Yang, M. Kobayashi, D. Gesbert, and X. Yi, “Degrees of freedom of time correlated MISO broadcast channels with delayed CSIT,” IEEE Transactions on Information Theory (TIT), vol. 59, no. 1, pp. 315–328, Jan. 2013.