Yinggui Wang

11 papers · 2022–2025 · 6 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

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29) 🗃️ Keyword Collector (60)

💎 Century Club · Bronze ⚡ Prolific Year · Productive 🌈 Renaissance Researcher (5)

Venues

EMNLP (5) IJCAI (2) AAAI (1) ACL (1) COLING (1) ICLR (1)

Top co-authors

Wei Huang (6) Anda Cheng (4) Le Yang (3) Cen Chen (2) Lei Wang (1) Chengyu Wang (1) Zhenxing Qian (1) Zhaorui Tan (1) Yuan Zhao (1) Penglei Gao (1)

Research topics

Machine Learning (10) Application Areas (8) Artificial Intelligence (6) Deep Learning (6) Core AI (6) Models (5) Learning Types (4) Natural Language Processing (2) Security & Privacy (2) Core Methods (2) Privacy (2) Resources & Methods (2) Computer Vision (1) Healthcare & Medicine (1) Analysis (1)

Keywords

large language model (4) knowledge distillation (3) contrastive learning (2) face recognition (2) model compression (2) privacy preservation (2) adversarial robustness (1) multi-task learning (1) kl divergence (1) feature representation (1) benchmark evaluation (1) domain adaptation (1) adversarial training (1) spoken language understanding (1) semantic alignment (1) machine unlearning (1) privacy-preserving learning (1) orthogonal decomposition (1) transfer learning (1) catastrophic forgetting (1)

Papers

A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization EMNLP 2025 DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025 DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment EMNLP 2025 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 Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025 Enhanced Face Recognition using Intra-class Incoherence Constraint ICLR 2024 Privacy Evaluation Benchmarks for NLP Models EMNLP 2024 TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences COLING 2024 Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023 Privacy-Preserving Face Recognition in the Frequency Domain AAAI 2022