Chuang Liu
17 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (31) ποΈ Keyword Collector (87)
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Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Core AI
(8)
Natural Language Processing
(7)
Deep Learning
(6)
Architectures
(5)
Resources & Methods
(5)
Application Areas
(4)
Applications
(3)
Core Methods
(3)
Learning Types
(3)
Computer Vision
(2)
Domain-Specific
(2)
Generation
(2)
Learning Paradigms
(2)
Keywords
large language model
(5)
medical imaging
(2)
vision foundation model
(2)
graph pooling
(2)
attention mechanism
(2)
graph transformer
(2)
benchmark evaluation
(2)
graph neural network
(2)
multilingual processing
(1)
model evaluation
(1)
concept-based explanation
(1)
text generation
(1)
neural machine translation
(1)
summarization evaluation
(1)
multilingual translation
(1)
self-supervised learning
(1)
medical image segmentation
(1)
graph generation
(1)
out-of-distribution generalization
(1)
natural language generation
(1)
Papers
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
AAAI 2026
TANGO: Learning Distribution-wise Foundation Prior Consistency and Instance-wise Style Calibration for Medical Image Generalization
CVPR 2026
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
CVPR 2025
Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs
COLING 2025
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging
AAAI 2025
ReproHum #0067-01: A Reproduction of the Evaluation of Cross-Lingual Summarization
ACL 2025
TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
ICML 2025
Evaluating Chinese Large Language Models on Discipline Knowledge Acquisition via Memorization and Robustness Assessment
ACL 2024
Gradformer: Graph Transformer with Exponential Decay
IJCAI 2024
LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models
COLING 2024
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
ACL 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
IJCAI 2024
Gapformer: Graph Transformer with Graph Pooling for Node Classification
IJCAI 2023
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
IJCAI 2023
Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports
ACL 2023
TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models
NeurIPS 2022
Vega-MT: The JD Explore Academy Machine Translation System for WMT22
EMNLP 2022