Chen Liang

Affiliations

Georgia Institute of TechnologyGoogle Brain

papers

1,295

total citations

papers (13)

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

ICLR 2025arXiv

122

citations

Compositional Generalization via Neural-Symbolic Stack Machines

NEURIPS 2020arXiv

106

citations

Visual Abductive Reasoning

CVPR 2022arXiv

citations

Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation

ICCV 2023arXiv

citations

PyGlove: Symbolic Programming for Automated Machine Learning

NEURIPS 2020arXiv

citations

Non-confusing Generation of Customized Concepts in Diffusion Models

ICML 2024arXiv

citations

Module-wise Adaptive Distillation for Multimodality Foundation Models

NEURIPS 2023arXiv

citations

IDEA-Bench: How Far are Generative Models from Professional Designing?

CVPR 2025arXiv

citations

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild

CVPR 2021

citations

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

AAAI 2024

citations

Chen Liang

Affiliations

papers (13)

Symbolic Discovery of Optimization Algorithms

LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models

GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Compositional Generalization via Neural-Symbolic Stack Machines

Visual Abductive Reasoning

Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation

PyGlove: Symbolic Programming for Automated Machine Learning

Non-confusing Generation of Customized Concepts in Diffusion Models

Module-wise Adaptive Distillation for Multimodality Foundation Models

IDEA-Bench: How Far are Generative Models from Professional Designing?

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

papers (13)

Symbolic Discovery of Optimization Algorithms

LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models

GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Compositional Generalization via Neural-Symbolic Stack Machines

Visual Abductive Reasoning

Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation

PyGlove: Symbolic Programming for Automated Machine Learning

Non-confusing Generation of Customized Concepts in Diffusion Models

Module-wise Adaptive Distillation for Multimodality Foundation Models

IDEA-Bench: How Far are Generative Models from Professional Designing?

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems