Tianqi Hou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection.
CoRR, 2024

In-context KV-Cache Eviction for LLMs via Attention-Gate.
CoRR, 2024

The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels.
CoRR, 2024

Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents.
CoRR, 2024

Decentralizing Coherent Joint Transmission Precoding Via Deterministic Equivalents.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.
Proceedings of the IEEE Information Theory Workshop, 2023

Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sparse superposition codes with rotational invariant coding matrices for memoryless channels.
Proceedings of the IEEE Information Theory Workshop, 2022

Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices.
Proceedings of the IEEE International Symposium on Information Theory, 2022

On Capacity Achieving of Sparse Regression Code with the Row-Orthogonal Matrix.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021
Finite-Time Synchronization of Fractional-Order Complex-Variable Dynamic Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2021

2019
Statistical physics of unsupervised learning with prior knowledge in neural networks.
CoRR, 2019

Minimal model of permutation symmetry in unsupervised learning.
CoRR, 2019


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