Zhiquan Tan

Orcid: 0000-0001-6658-1934

According to our database1, Zhiquan Tan authored at least 19 papers between 2022 and 2024.

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

Timeline

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Links

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Bibliography

2024
SEAL: Simultaneous Label Hierarchy Exploration And Learning.
Trans. Mach. Learn. Res., 2024

Can I understand what I create? Self-Knowledge Evaluation of Large Language Models.
CoRR, 2024

The Information of Large Language Model Geometry.
CoRR, 2024

Large Language Model Evaluation via Matrix Entropy.
CoRR, 2024

Matrix Information Theory for Self-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provable Contrastive Continual Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

OTMatch: Improving Semi-Supervised Learning with Optimal Transport.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Information Flow in Self-Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unveiling the Dynamics of Information Interplay in Supervised Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Learning is Spectral Clustering on Similarity Graph.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Coded Real Number Matrix Multiplication for On-Device Edge Computing.
IEEE Signal Process. Lett., 2023

Understanding Grokking Through A Robustness Viewpoint.
CoRR, 2023

Distributed Matrix Multiplication with a Smaller Recovery Threshold through Modulo-based Approaches.
CoRR, 2023

Privacy-Preserving Polynomial Computing Over Distributed Data.
CoRR, 2023

Multiplexed Streaming Codes for Messages With Different Decoding Delays in Channel with Burst and Random Erasures.
CoRR, 2023

Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning.
CoRR, 2023

RelationMatch: Matching In-batch Relationships for Semi-supervised Learning.
CoRR, 2023

Trade-off Between Efficiency and Consistency for Removal-based Explanations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Data Integrity Check in Distributed Storage Systems.
Proceedings of the IEEE International Symposium on Information Theory, 2022


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