Zhong Wang
8 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
👥
Mega-Team · Squad
🚀
Conference Pioneer
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Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Deep Learning
(2)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Speech & Audio
(1)
Analysis
(1)
Architectures
(1)
Core Methods
(1)
Generation
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
large language model
(2)
confidence calibration
(2)
mathematical reasoning
(2)
text generation
(1)
fourier analysis
(1)
image compression
(1)
model serving
(1)
implicit neural representation
(1)
diffusion model
(1)
3d gaussian splatting
(1)
positional encoding
(1)
hallucination detection
(1)
fourier series
(1)
expected calibration error
(1)
inference serving
(1)
resource efficiency
(1)
predictive distribution
(1)
confidence estimation
(1)
kolmogorov-arnold network
(1)
reasoning chain
(1)
Papers
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs
ACL 2026
Global-Local Confidence Fusion for Hallucination Detection in Mathematical Reasoning Task
AAAI 2026
Prism: Cost-Efficient Multi-LLM Serving via GPU Memory Ballooning
OSDI 2026
SmartSplat: Feature-Smart Gaussians for Scalable Compression of Ultra-High-Resolution Images
AAAI 2026
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework
AAAI 2025
SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models
EMNLP 2025
TermDiffuSum: A Term-guided Diffusion Model for Extractive Summarization of Legal Documents
COLING 2025
A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention
MICCAI 2024