Peiran Wang
7 papers · 2025–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
⭐
Rising Star
(7)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Deep Learning
(3)
Application Areas
(3)
Core AI
(3)
Natural Language Processing
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Resources & Methods
(2)
Security & Privacy
(1)
Core Methods
(1)
Differential Privacy
(1)
Learning Paradigms
(1)
Keywords
dataset distillation
(2)
one-shot learning
(1)
differential privacy
(1)
benchmark evaluation
(1)
adversarial robustness
(1)
optimal transport
(1)
adversarial training
(1)
safety alignment
(1)
distribution matching
(1)
wasserstein metric
(1)
synthetic data
(1)
parameter-efficient fine-tuning
(1)
mixture of expert
(1)
jailbreak attack
(1)
privacy leakage
(1)
representation steering
(1)
language model fine-tuning
(1)
split learning
(1)
software security
(1)
llm agent
(1)
Papers
FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
ACL 2026
CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities
NAACL 2025
Dataset Distillation via the Wasserstein Metric
ICCV 2025
Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models
MICCAI 2025
RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process
NAACL 2025
SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework
IJCAI 2025
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
AAAI 2025