Tianlong Xu

Orcid: 0009-0000-2164-7709

According to our database1, Tianlong Xu authored at least 21 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Breaking the Boundary Barrier: Robust Model Fingerprinting via Unlearnable Examples in Model-Parameter Space.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math.
Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025
Large Language Models for Education: A survey and outlook.
IEEE Signal Process. Mag., November, 2025

Aligning Multimodal LLM with Human Preference: A Survey.
CoRR, March, 2025

From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education.
CoRR, February, 2025

Poisoning as a Post-Protection: Mitigating Membership Privacy Leakage From Gradient and Prediction of Federated Models.
IEEE Trans. Dependable Secur. Comput., 2025

Risk Prognosis and Fire Prediction of Urban Utility Tunnels Using a Hybrid SSA-LSTM Method.
Qual. Reliab. Eng. Int., 2025

Multimodal AI Teacher: Integrating Edge Computing and Reasoning Models for Enhanced Student Error Analysis.
AI Mag., 2025

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Knowledge Tagging with Large Language Model Based Multi-Agent System.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Dynamic modeling and reliability analysis of satellite antenna deployment mechanism based on parameter uncertainty.
Qual. Reliab. Eng. Int., July, 2024

Gradient-Leaks: Enabling Black-Box Membership Inference Attacks Against Machine Learning Models.
IEEE Trans. Inf. Forensics Secur., 2024

Foundation Models for Education: Promises and Prospects.
IEEE Intell. Syst., 2024

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.
CoRR, 2024

Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever.
CoRR, 2024

Automate Knowledge Concept Tagging on Math Questions with LLMs.
CoRR, 2024

Bringing Generative AI to Adaptive Learning in Education.
CoRR, 2024

United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022
Your Model Trains on My Data? Protecting Intellectual Property of Training Data via Membership Fingerprint Authentication.
IEEE Trans. Inf. Forensics Secur., 2022

2021
Visually Compatible Home Decor Recommendations Using Object Detection and Product Matching.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021


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