Yuanze Li

Orcid: 0009-0000-0366-8362

According to our database1, Yuanze Li authored at least 17 papers between 2022 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
Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes.
CoRR, May, 2026

AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images.
CoRR, April, 2026

Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning.
CoRR, April, 2026

THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics.
CoRR, March, 2026

Encoder-decoder based watermarking for federated learning models.
Future Gener. Comput. Syst., 2026

FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Triad: Empowering LMM-based Anomaly Detection with Vision Expert-guided Visual Tokenizer and Manufacturing Process.
CoRR, March, 2025

Task Allocation With Geography-Context-Capacity Awareness in Distributed Burstable Billing Edge-Cloud Systems.
IEEE Trans. Serv. Comput., 2025

Triad: Empowering LMM-Based Anomaly Detection with Expert-Guided Region-of-Interest Tokenizer and Manufacturing Process.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Copyright protection framework for federated learning models against collusion attacks.
Inf. Sci., 2024

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective.
CoRR, 2024

Class Balance Matters to Active Class-Incremental Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A watermark-based framework to actively protect deep neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection.
CoRR, 2023

LoCoCa: Location-Context-Capacity Aware Cost Economizing in Edge-Cloud Systems.
Proceedings of the IEEE Global Communications Conference, 2023

2022
On Steering Multi-Annotations per Sample for Multi-Task Learning.
CoRR, 2022


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