Xinyu Tang
15 papers · 2019–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver
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Prolific Year · Productive
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Keyword Collector
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Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core AI
(9)
Application Areas
(7)
Deep Learning
(5)
Optimization & Theory · Machine Learning
(5)
Learning Types · Machine Learning
(4)
Natural Language Processing
(3)
Learning Paradigms
(3)
Architectures
(2)
Generation
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Security & Privacy
(1)
Keywords
large language model
(5)
differential privacy
(4)
in-context learning
(3)
chain-of-thought reasoning
(2)
few-shot learning
(1)
policy optimization
(1)
image classification
(1)
gradient-based optimization
(1)
stochastic gradient descent
(1)
hyperparameter optimization
(1)
synthetic data generation
(1)
explanation generation
(1)
video understanding
(1)
cross-modal transfer
(1)
gradient estimation
(1)
transfer learning
(1)
iterative refinement
(1)
message passing
(1)
gradient descent
(1)
prior learning
(1)
Papers
L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention
AAAI 2026
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
ACL 2026
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
NAACL 2025
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
ICLR 2025
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
EMNLP 2025
Privacy Auditing of Large Language Models
ICLR 2025
T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models
MICCAI 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
AAAI 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
ICML 2024
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
ICLR 2024
Differentially Private Image Classification by Learning Priors from Random Processes
NeurIPS 2023
Effectively Using Public Data in Privacy Preserving Machine Learning
ICML 2023
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
EMNLP 2023
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning
ICCV 2019