Tiankai Yang

Orcid: 0009-0000-4965-4433

Affiliations:

University of Southern California (USC), Los Angeles, CA, USA

According to our database¹, Tiankai Yang authored at least 12 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

M3OOD: Automatic Selection of Multimodal OOD Detectors.

[BibT_eX]

[DOI]

CoRR, August, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

[BibT_eX]

[DOI]

CoRR, May, 2025

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, May, 2025

StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization.

[BibT_eX]

[DOI]

CoRR, April, 2025

Efficient Model Selection for Time Series Forecasting via LLMs.

[BibT_eX]

[DOI]

CoRR, April, 2025

Treble Counterfactual VLMs: A Causal Approach to Hallucination.

[BibT_eX]

[DOI]

CoRR, March, 2025

PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

NLP-ADBench: NLP Anomaly Detection Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters.

[BibT_eX]

[DOI]

IEEE Trans. Computers, October, 2023

Tiankai Yang

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