Tianqi Hou

31 papers A* 2B 7Misc 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diving into Kronecker Adapters: Component Design Matters.
CoRR
Jiayu Bai, Danchen Yu, Zhenyu Liao, Tianqi Hou, Feng Zhou, Robert C. Qiu, Zenan Ling
2025 J jnl
A Random Matrix Analysis of In-context Memorization for Nonlinear Attention.
CoRR
Zhenyu Liao, Jiaqing Liu, Tianqi Hou, Difan Zou, Zenan Ling
2025 J jnl
Adaptive Discretization for Consistency Models.
CoRR
Jiayu Bai, Zhanbo Feng, Zhijie Deng, Tianqi Hou, Robert C. Qiu, Zenan Ling
2025 J jnl
Latent Iterative Refinement Flow: A Geometric-Constrained Approach for Few-Shot Generation.
CoRR
Songtao Li, Zhenyu Liao, Tianqi Hou, Ting Gao
2025 J jnl
LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding.
CoRR
Chenkai Xu, Yijie Jin, Jiajun Li, Yi Tu, Guoping Long, Dandan Tu, Mingcong Song, Hongjie Si, Tianqi Hou, Junchi Yan, Zhijie Deng
2025 A* conf
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection.
ICLR
Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng
2025 J jnl
Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation.
CoRR
Chenkai Xu, Xu Wang, Zhenyi Liao, Yishun Li, Tianqi Hou, Zhijie Deng
2025 B conf
The Error Probability of Spatially Coupled Sparse Regression Codes Over Memoryless Channels.
ISIT
Yuhao Liu, Yizhou Xu, Tianqi Hou
2024 Misc conf
Decentralizing Coherent Joint Transmission Precoding Via Deterministic Equivalents.
ICASSP
Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang
2024 J jnl
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents.
CoRR
Yuhao Liu, Xinyu Bian, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang
2024 J jnl
Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents.
CoRR
Xinyu Bian, Yuhao Liu, Yizhou Xu, Tianqi Hou, Wenjie Wang, Yuyi Mao, Jun Zhang
2024 J jnl
In-context KV-Cache Eviction for LLMs via Attention-Gate.
CoRR
Zihao Zeng, Bokai Lin, Tianqi Hou, Hao Zhang, Zhijie Deng
2024 J jnl
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection.
CoRR
Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng
2024 B conf
Robust Decentralized Coordinated Precoding in Multi-cell Coherent Joint Transmission Networks.
GLOBECOM
Shaojun Wan, Xinyu Bian, Wenjie Wang, Tianqi Hou, Yong Zhou
2024 J jnl
The Error Probability of Spatially Coupled Sparse Regression Codes over Memoryless Channels.
CoRR
Yuhao Liu, Yizhou Xu, Tianqi Hou
2023 B conf
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.
ITW
Yizhou Xu, Tianqi Hou, Shansuo Liang, Marco Mondelli
2023 B conf
Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing.
ISIT
Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bai, Jean Barbier, Tianqi Hou
2023 J jnl
Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing.
CoRR
Yizhou Xu, Yuhao Liu, Shansuo Liang, Ting-Yi Wu, Bo Bob Bai, Jean Barbier, Tianqi Hou
2023 B conf
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise.
ISIT
Teng Fu, Yuhao Liu, Jean Barbier, Marco Mondelli, Shansuo Liang, Tianqi Hou
2023 J jnl
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise.
CoRR
Teng Fu, Yuhao Liu, Jean Barbier, Marco Mondelli, Shansuo Liang, Tianqi Hou
2022 J jnl
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models.
CoRR
Yizhou Xu, Tianqi Hou, Shansuo Liang, Marco Mondelli
2022 — conf
On Capacity Achieving of Sparse Regression Code with the Row-Orthogonal Matrix.
ICCT
Yizhou Xu, Teng Fu, Yuhao Liu, Tianqi Hou
2022 B conf
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices.
ISIT
Tianqi Hou, Yuhao Liu, Teng Fu, Jean Barbier
2022 J jnl
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices.
CoRR
Tianqi Hou, Yuhao Liu, Teng Fu, Jean Barbier
2022 B conf
Sparse superposition codes with rotational invariant coding matrices for memoryless channels.
ITW
Yuhao Liu, Teng Fu, Jean Barbier, Tianqi Hou
2022 J jnl
Sparse superposition codes with rotational invariant coding matrices for memoryless channels.
CoRR
Yuhao Liu, Teng Fu, Jean Barbier, Tianqi Hou
2022 A* conf
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
NeurIPS
Jean Barbier, Tianqi Hou, Marco Mondelli, Manuel Sáenz
2022 J jnl
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
CoRR
Jean Barbier, Tianqi Hou, Marco Mondelli, Manuel Sáenz
2021 J jnl
Finite-Time Synchronization of Fractional-Order Complex-Variable Dynamic Networks.
IEEE Trans. Syst. Man Cybern. Syst.
Tianqi Hou, Juan Yu, Cheng Hu, Haijun Jiang
2019 J jnl
Minimal model of permutation symmetry in unsupervised learning.
CoRR
Tianqi Hou, K. Y. Michael Wong, Haiping Huang
2019 J jnl
Statistical physics of unsupervised learning with prior knowledge in neural networks.
CoRR
Tianqi Hou, Haiping Huang