Muling Wu
11 papers · 2023–2025 · 3 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
Jump to papers ↓+5 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34) 🏆 Keyword Champion (2)
👥
Mega-Team · Squad
🤝
Dynamic Duo
(10)
⚡
Prolific Year · Productive
🗃️
Keyword Collector
(56)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core AI
(8)
Application Areas
(7)
Deep Learning
(6)
Natural Language Processing
(4)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Learning Paradigms · Artificial Intelligence
(2)
Models
(2)
Generation
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
large language model
(5)
parameter-efficient fine-tuning
(3)
model privacy
(2)
pre-trained language model
(2)
federated learning
(2)
representation editing
(2)
representation engineering
(2)
human preference
(2)
reinforcement learning
(1)
model safety
(1)
contrastive learning
(1)
neural network interpretability
(1)
intellectual property
(1)
reinforcement learning from human feedback
(1)
unsupervised learning
(1)
privacy preservation
(1)
language model
(1)
code generation
(1)
representation learning
(1)
backdoor attack
(1)
Papers
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
EMNLP 2025
Multi-Programming Language Sandbox for LLMs
ACL 2025
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
COLING 2025
Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling
EMNLP 2025
Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
ACL 2025
UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
EMNLP 2025
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
ACL 2024
Aligning Large Language Models with Human Preferences through Representation Engineering
ACL 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
EMNLP 2024
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts
EMNLP 2023
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation
EMNLP 2023