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Xiangming Meng

12 papers · 2020–2025 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (28) 🌍 Conference Polyglot Β· Silver 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze
πŸ† Grand Slam πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (54)

Venues

AISTATS (2) ICLR (2) NeurIPS (2) AAAI (1) ACML (1) CVPR (1) ICCV (1) ICML (1) IJCAI (1)

Top co-authors

Yoshiyuki Kabashima (6) Tomoyuki Obuchi (2) Hongwei Wang (2) Zhizhong Wang (1) Ziyi Wang (1) Peiming Li (1) Chunnan Shang (1) Koki Okajima (1) Roman Bachmann (1) Hong Liu (1)

Research topics

Machine Learning (9) Optimization & Theory (7) Deep Learning (5) Computer Vision (4) Core Methods (4) Models (3) Processing (3) Analysis (2) Learning Types (2) Artificial Intelligence (1) Mathematics & Optimization (1) Application Areas (1) Architectures (1) Bayesian & Probabilistic (1) Core AI (1)

Keywords

ising model (2) score-based generative model (2) model selection (2) compressed sensing (2) uncertainty estimation (2) quantized measurement (2) action recognition (1) anomaly detection (1) semantic segmentation (1) image restoration (1) variational inference (1) bayesian inference (1) logistic regression (1) attention mechanism (1) continual learning (1) feature correlation (1) video instance segmentation (1) high-dimensional inference (1) flow matching (1) data augmentation (1)

Papers

FIG: Flow with Interpolant Guidance for Linear Inverse Problems ICLR 2025 SCSA: A Plug-and-Play Semantic Continuous-Sparse Attention for Arbitrary Semantic Style Transfer CVPR 2025 UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling ICCV 2025 Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems ACML 2024 QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024 SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data IJCAI 2024 Average case analysis of Lasso under ultra sparse conditions AISTATS 2023 On Model Selection Consistency of Lasso for High-Dimensional Ising Models AISTATS 2023 Quantized Compressed Sensing with Score-Based Generative Models ICLR 2023 Exact Solutions of a Deep Linear Network NeurIPS 2022 Ising Model Selection Using β„“_1-Regularized Linear Regression: A Statistical Mechanics Analysis NeurIPS 2021 Training Binary Neural Networks using the Bayesian Learning Rule ICML 2020