Zhicheng Yang
17 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(8)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(86)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(9)
Natural Language Processing
(7)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(4)
Resources & Methods
(4)
Deep Learning
(3)
Applications
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Clinical
(2)
Keywords
large language model
(5)
supervised fine-tuning
(2)
in-context learning
(2)
remote sensing
(2)
logical reasoning
(2)
contrastive learning
(2)
language model
(2)
math word problem
(2)
satellite imagery
(2)
image segmentation
(1)
uncertainty quantification
(1)
curriculum learning
(1)
semantic segmentation
(1)
mathematical reasoning
(1)
scene classification
(1)
imitation learning
(1)
zero-shot learning
(1)
medical imaging
(1)
weakly supervised learning
(1)
self-supervised learning
(1)
Papers
CARE What Fails: Contrastive Anchored-REflection for Verifiable Multimodal Reasoning
CVPR 2026
Easy2Hard: From Partially to Fully Unmatched Modalities as Negative Samples in Contrastive Learning
CVPR 2026
CityWalker: Learning Embodied Urban Navigation from Web-Scale Videos
CVPR 2025
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
ICLR 2025
Prefix-Enhanced Large Language Models with Reused Training Data in Multi-Turn Medical Dialogue
NAACL 2025
Understanding GUI Agent Localization Biases through Logit Sharpness
EMNLP 2025
When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning
EMNLP 2025
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
ATG: Benchmarking Automated Theorem Generation for Generative Language Models
NAACL 2024
CLOMO: Counterfactual Logical Modification with Large Language Models
ACL 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
ICLR 2024
Proving Theorems Recursively
NeurIPS 2024
Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract)
AAAI 2023
PARCS: A Deployment-Oriented AI System for Robust Parcel-Level Cropland Segmentation of Satellite Images
AAAI 2023
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning
EMNLP 2022
Unbiased Math Word Problems Benchmark for Mitigating Solving Bias
NAACL 2022
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
CVPR 2021