Mengxuan Hu
10 papers · 2024–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π Renaissance Researcher (6) π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (21)
π£
Hot Topic Early Bird
β‘
Prolific Year
(7)
Conferences
AAAI (3)
ICML (2)
ACL (1)
CVPR (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
causal inference
(2)
backdoor attack
(2)
large language model
(2)
model security
(1)
domain generalization
(1)
causal reasoning
(1)
computer vision
(1)
causal discovery
(1)
source-free domain adaptation
(1)
interpretable machine learning
(1)
pseudo labeling
(1)
feature attribution
(1)
semantic alignment
(1)
computational efficiency
(1)
class imbalance
(1)
domain knowledge
(1)
prompt-adaptive pruning
(1)
adversarial attack
(1)
generative model
(1)
diffusion model
(1)
Papers
Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods
ACL 2026
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models
AAAI 2025
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
CVPR 2025
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
EMNLP 2025
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
ICLR 2025
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
ICML 2025
Large Language Models for Causal Discovery: Current Landscape and Future Directions
IJCAI 2025
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety
ICML 2025
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
AAAI 2024
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)
AAAI 2024