cheng cheng
17 papers · 2017–2025 · 12 conferences · across top CS/AI conferences
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large language model
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point cloud
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graph representation learning
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few-shot learning
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model architecture
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Papers
CogMath: Assessing LLMsβ Authentic Mathematical Ability from a Human Cognitive Perspective
ICML 2025
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
ICML 2025
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
IJCNLP 2025
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
AAAI 2025
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
ACL 2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
ACL 2025
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
AACL 2025
Automatic Spectral Calibration of Hyperspectral Images: Method, Dataset and Benchmark
CVPR 2025
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
WACV 2025
Robust Function-Calling for On-Device Language Model via Function Masking
ICLR 2025
Towards Explainable Computerized Adaptive Testing with Large Language Model
EMNLP 2024
Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction
NIPS 2024
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization
NIPS 2024
Graph Propagation Transformer for Graph Representation Learning
IJCAI 2023
Typed Markers and Context for Clinical Temporal Relation Extraction
MLHC 2023
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
NIPS 2023
A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection
CVPR 2017