Haitong Luo

According to our database, Haitong Luo authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Nethira: A Heterogeneity-aware Hierarchical Pre-trained Model for Network Traffic Classification.

Chungang Lin, Weiyao Zhang, Haitong Luo, Xuying Meng, Yujun Zhang

CoRR, January, 2026

Enhance graph alignment for large language models.

Haitong Luo, Xuying Meng, Suhang Wang, Tianxiang Zhao, Fali Wang, Yujun Zhang

Neural Networks, 2026

SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis.

Haitong Luo, Weiyao Zhang, Suhang Wang, Wenji Zou, Chungang Lin, Xuying Meng, Yujun Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Generalize across Homophily and Heterophily: Hybrid Spectral Graph Pre-Training and Prompt Tuning.

Haitong Luo, Suhang Wang, Weiyao Zhang, Ruiqi Meng, Xuying Meng, Yujun Zhang

CoRR, August, 2025

Heterogeneity-Oblivious Robust Federated Learning.

Weiyao Zhang, Jinyang Li, Qi Song, Miao Wang, Chungang Lin, Haitong Luo, Xuying Meng, Yujun Zhang

CoRR, August, 2025

Convolutions are Competitive with Transformers for Encrypted Traffic Classification with Pre-training.

Chungang Lin, Weiyao Zhang, Tianyu Zuo, Chao Zha, Yilong Jiang, Ruiqi Meng, Haitong Luo, Xuying Meng, Yujun Zhang

CoRR, August, 2025

2024

Enhance Graph Alignment for Large Language Models.

Haitong Luo, Xuying Meng, Suhang Wang, Tianxiang Zhao, Fali Wang, Hanyun Cao, Yujun Zhang

CoRR, 2024

Spectral-Based Graph Neural Networks for Complementary Item Recommendation.

Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Understanding WiFi Signal Frequency Features for Position-Independent Gesture Sensing.

Kai Niu, Fusang Zhang, Xuanzhi Wang, Qin Lv, Haitong Luo, Daqing Zhang

IEEE Trans. Mob. Comput., 2022

Packet Representation Learning for Traffic Classification.

Xuying Meng, Yequan Wang, Runxin Ma, Haitong Luo, Xiang Li, Yujun Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022