Xinyu Tang
15 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (10)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(6)
🏆
Grand Slam
🗃️
Keyword Collector
(52)
💎
Century Club
(13)
⚡
Prolific Year
(7)
Conferences
ICLR (3)
AAAI (2)
ACL (2)
EMNLP (2)
ICML (2)
ICCV (1)
MICCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(4)
chain-of-thought reasoning
(2)
differential privacy
(2)
image classification
(1)
policy optimization
(1)
transfer learning
(1)
stochastic gradient descent
(1)
in-context learning
(1)
memory efficiency
(1)
explanation generation
(1)
video understanding
(1)
cross-modal transfer
(1)
gradient estimation
(1)
iterative refinement
(1)
gradient descent
(1)
message passing
(1)
monte carlo tree search
(1)
privacy utility tradeoff
(1)
gradient-based optimization
(1)
prior learning
(1)
Papers
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
ACL 2026
L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention
AAAI 2026
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
EMNLP 2025
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
ICLR 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
AAAI 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
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
NAACL 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
Effectively Using Public Data in Privacy Preserving Machine Learning
ICML 2023
Differentially Private Image Classification by Learning Priors from Random Processes
NIPS 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