Zhuo Zhang
23 papers · 2020–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (11)
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Renaissance Researcher
(6)
π
Conference Polyglot
(11)
π§¬
Topic Evolution
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Keyword Champion
(3)
ποΈ
Keyword Collector
(101)
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Century Club
(21)
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Unstoppable
(5)
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Prolific Year
(6)
Conferences
ACL (5)
INTERSPEECH (4)
NIPS (3)
AAAI (2)
EMNLP (2)
AACL (1)
COLING (1)
EACL (1)
ICML (1)
IJCNLP (1)
NAACL (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(8)
federated learning
(7)
backdoor attack
(3)
personally identifiable information
(3)
privacy leakage
(2)
privacy preservation
(2)
natural language processing
(2)
ai-generated text detection
(2)
text classification
(2)
adversarial learning
(1)
information extraction
(1)
knowledge distillation
(1)
preference optimization
(1)
cross-modal learning
(1)
continual learning
(1)
image classification
(1)
preference learning
(1)
model alignment
(1)
reinforcement learning
(1)
parameter efficient
(1)
Papers
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation
AAAI 2026
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
WACV 2026
Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models
ACL 2025
Correcting Large Language Model Behavior via Influence Function
AAAI 2025
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
IJCNLP 2025
COPR: Continual Human Preference Learning via Optimal Policy Regularization
ACL 2025
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
AACL 2025
Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis
EMNLP 2025
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering
NAACL 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding
COLING 2024
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
NIPS 2024
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
NIPS 2024
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC
ACL 2024
Threat Behavior Textual Search by Attention Graph Isomorphism
EACL 2024
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
NIPS 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP
ACL 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models
ACL 2023
Image-driven Audio-visual Universal Source Separation
INTERSPEECH 2023
Federated Model Decomposition with Private Vocabulary for Text Classification
EMNLP 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense
ICML 2022
Parameter-Efficient Conformers via Sharing Sparsely-Gated Experts for End-to-End Speech Recognition
INTERSPEECH 2022
EEG-Based Short-Time Auditory Attention Detection Using Multi-Task Deep Learning
INTERSPEECH 2020
Neural Entrainment to Natural Speech Envelope Based on Subject Aligned EEG Signals
INTERSPEECH 2020