Hui Sun
11 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Natural Language Processing
(3)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Optimization & Theory
(2)
Processing
(2)
Knowledge & Reasoning
(1)
Architectures
(1)
Core Methods
(1)
Keywords
code generation
(3)
adversarial learning
(1)
embedding space
(1)
feature learning
(1)
few-shot learning
(1)
domain adaptation
(1)
semi-supervised learning
(1)
attention mechanism
(1)
relation extraction
(1)
contrastive learning
(1)
image reconstruction
(1)
image compression
(1)
markov decision process
(1)
reproducing kernel hilbert space
(1)
multi-class classification
(1)
static analysis
(1)
frame selection
(1)
determinantal point process
(1)
support vector machine
(1)
wasserstein distance
(1)
Papers
ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls
AAAI 2026
Dynamic-Static Synergistic Selection Method for Candidate Code Solutions with Generated Test Cases
AAAI 2026
Learned Image Compression via Sparse Attention and Adaptive Frequency
CVPR 2026
Enhancing the Prototype Network with Local-to-Global Optimization for Few-Shot Relation Extraction
NAACL 2025
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks
AAAI 2025
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs
ICCV 2025
Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?
ICML 2025
Ambiguity-Aware Abductive Learning
ICML 2024
Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation
AAAI 2023
Semi-supervised Learning with Support Isolation by Small-Paced Self-Training
AAAI 2023
Angle-based Multicategory Distance-weighted SVM
JMLR 2017