Xiao Tan

Orcid: 0000-0002-3874-9557

Affiliations:
  • Southeast University, Nanjing, China


According to our database1, Xiao Tan authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Identification of Influential Node Group in Attributed Graph through Explaining Graph Neural Network.
Proceedings of the ACM Web Conference 2026, 2026

LiGen: Active Lipid Generation via a Molecular Language Model.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
NoTeNet: Normalized Mutual Information-Driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data.
Proceedings of the ACM on Web Conference 2025, 2025

Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Information-Agnostic Model Poisoning Attacks Against Byzantine-Robust Federated Learning.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix.
Proceedings of the Database Systems for Advanced Applications, 2024

Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021
Fast and Privacy-Preserving Federated Joint Estimator of Multi-sUGMs.
IEEE Access, 2021


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