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Meng, Xiangming
12 publications
ICLR
2025
FIG: Flow with Interpolant Guidance for Linear Inverse Problems
Yici Yan
,
Yichi Zhang
,
Xiangming Meng
,
Zhizhen Zhao
CVPR
2025
SCSA: A Plug-and-Play Semantic Continuous-Sparse Attention for Arbitrary Semantic Style Transfer
Chunnan Shang
,
Zhizhong Wang
,
Hongwei Wang
,
Xiangming Meng
ICCV
2025
UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling
Peiming Li
,
Ziyi Wang
,
Yulin Yuan
,
Hong Liu
,
Xiangming Meng
,
Junsong Yuan
,
Mengyuan Liu
ACML
2024
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng
,
Yoshiyuki Kabashima
AAAI
2024
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng
,
Yoshiyuki Kabashima
IJCAI
2024
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data
Shuting Tao
,
Tongtian Zhu
,
Hongwei Wang
,
Xiangming Meng
AISTATS
2023
Average Case Analysis of Lasso Under Ultra Sparse Conditions
Koki Okajima
,
Xiangming Meng
,
Takashi Takahashi
,
Yoshiyuki Kabashima
AISTATS
2023
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
Xiangming Meng
,
Tomoyuki Obuchi
,
Yoshiyuki Kabashima
ICLR
2023
Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng
,
Yoshiyuki Kabashima
NeurIPS
2022
Exact Solutions of a Deep Linear Network
Liu Ziyin
,
Botao Li
,
Xiangming Meng
NeurIPS
2021
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis
Xiangming Meng
,
Tomoyuki Obuchi
,
Yoshiyuki Kabashima
ICML
2020
Training Binary Neural Networks Using the Bayesian Learning Rule
Xiangming Meng
,
Roman Bachmann
,
Mohammad Emtiyaz Khan