Yinggui Wang
11 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10) π Renaissance Researcher (7)
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(30)
π
Conference Polyglot
(6)
π
Century Club
(11)
ποΈ
Keyword Collector
(57)
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Prolific Year
(6)
Conferences
EMNLP (5)
IJCAI (2)
AAAI (1)
ACL (1)
COLING (1)
ICLR (1)
Top co-authors
Research topics
Keywords
large language model
(4)
knowledge distillation
(2)
model compression
(2)
contrastive learning
(2)
privacy preservation
(2)
adversarial robustness
(1)
face recognition
(1)
multi-task learning
(1)
kl divergence
(1)
model pruning
(1)
benchmark evaluation
(1)
domain adaptation
(1)
adversarial training
(1)
spoken language understanding
(1)
semantic alignment
(1)
machine unlearning
(1)
privacy-preserving learning
(1)
model interpretability
(1)
transfer learning
(1)
catastrophic forgetting
(1)
Papers
Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models
IJCAI 2025
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
ACL 2025
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization
EMNLP 2025
Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
EMNLP 2025
DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
EMNLP 2025
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
EMNLP 2025
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences
COLING 2024
Privacy Evaluation Benchmarks for NLP Models
EMNLP 2024
Enhanced Face Recognition using Intra-class Incoherence Constraint
ICLR 2024
Privacy-Preserving End-to-End Spoken Language Understanding
IJCAI 2023
Privacy-Preserving Face Recognition in the Frequency Domain
AAAI 2022