Completely Publication

[arXiv] Higher-Order Expressivity, Higher-Order Leakage: Membership Inference in Simplicial Complex Neural Networks
Chengze Du, Jun Sakuma, Rui Wen
arXiv, 2026.

[TNSM'26] REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
Zhiwei Yu, Chengze Du, Heng Xu, Ying Zhou, Bo Liu, Jialong Li
IEEE Transactions on Network and Service Management (TNSM), 2026.

[arXiv] PlatoNT: Learning a Platonic Representation for Unified Network Tomography
Chengze Du, Heng Xu, Zhiwei Yu, Bo Liu, Jialong Li
arXiv, 2025.

[arXiv] RailS: Load Balancing for All-to-All Communication in Distributed Mixture-of-Experts Training
Heng Xu, Zhiwei Yu, Chengze Du, Ying Zhou, Letian Li, Haojie Wang, Weiqiang Cheng, Bo Liu, Jialong Li
arXiv, 2025.

[NeurIPS'25 Workshop] Semitone-Aware Fourier Encoding: A Music-Structured Approach to Audio-Text Alignment
Chengze Du*, JinYang Zhang*, Wenxin Zhang (* Equal Contribution)
In Proceedings of the Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) Workshop: AI for Music, 2025.

[arXiv] RoTO: Robust Topology Obfuscation Against Tomography Inference Attacks
Chengze Du*, Heng Xu*, Zhiwei Yu, Ying Zhou, Zili Meng, Jialong Li (* Equal Contribution)
arXiv, 2025.

[arXiv] Temporal-Aware GPU Resource Allocation for Distributed LLM Inference via Reinforcement Learning
Chengze Du, Zhiwei Yu, Heng Xu, Haojie Wang, Bo Liu, Jialong Li
arXiv, 2025.

[IJCNN'25] GuidedLatent: Defending VAEs against Membership Inference Attacks via Distribution-Guided Privacy
Chengze Du, Guangzhen Yao, Jibin Shi, Ying Zhang, Renda Han
In Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2025.

[CC] Identification of Path Congestion Status from End-to-End Measurements Using Deep Spatial-Temporal Learning
Chengze Du, Zhiwei Yu, Xiangyu Wang
Computer Communications, 2025.

[arXiv] SecureNT: A Practical Framework for Efficient Topology Protection and Monitoring
Chengze Du, Jibin Shi
arXiv, 2024.