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Shuang Song

20 papers · 2014–2026 · 9 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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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (35) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (12) πŸ† Grand Slam πŸ† Keyword Champion 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (99) πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (7) πŸ’Ž Century Club Β· Bronze

Venues

ICML (4) NeurIPS (4) AISTATS (3) EMNLP (2) ICCV (2) ICLR (2) AAAI (1) COLING (1) CVPR (1)

Top co-authors

Abhradeep Thakurta (6) Abhradeep Guha Thakurta (4) Om Thakkar (4) Yifei Zhang (3) Kamalika Chaudhuri (3) Nicolas Papernot (3) Li Zhang (3) Walid Krichene (3) Prateek Jain (3) Neng Gao (3)

Research topics

Machine Learning (15) Application Areas (12) Artificial Intelligence (10) Core AI (8) Security & Privacy (6) Optimization & Theory (6) Core Methods (5) Deep Learning (4) Differential Privacy (4) Learning Types (4) Computer Vision (3) Privacy (3) Mathematics & Optimization (2) Learning Paradigms Β· Artificial Intelligence (2) Learning Paradigms Β· Machine Learning (2)

Keywords

differential privacy (12) linear regression (3) user-level privacy (2) retrieval-augmented generation (2) recommender system (2) stochastic gradient descent (2) machine learning (2) multi-task learning (1) global convergence (1) 3d reconstruction (1) logistic regression (1) sample complexity (1) point cloud (1) 3d vision (1) bayesian inference (1) contrastive learning (1) deep learning (1) model forgetting (1) token efficiency (1) anomaly detection (1)

Papers

Olbedo: An Albedo and Shading Aerial Dataset for Large-Scale Outdoor Environments CVPR 2026 Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning COLING 2025 EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation EMNLP 2025 ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation EMNLP 2025 Private Learning with Public Features AISTATS 2024 Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments ICCV 2023 Measuring Forgetting of Memorized Training Examples ICLR 2023 Multi-Task Differential Privacy Under Distribution Skew ICML 2023 Public Data-Assisted Mirror Descent for Private Model Training ICML 2022 Differentially Private Model Personalization NeurIPS 2021 Evading the Curse of Dimensionality in Unconstrained Private GLMs AISTATS 2021 Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021 Tempered Sigmoid Activations for Deep Learning with Differential Privacy AAAI 2021 Vis2Mesh: Efficient Mesh Reconstruction From Unstructured Point Clouds of Large Scenes With Learned Virtual View Visibility ICCV 2021 The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space NeurIPS 2020 Scalable Private Learning with PATE ICLR 2018 Renyi Differential Privacy Mechanisms for Posterior Sampling NeurIPS 2017 Learning from Data with Heterogeneous Noise using SGD AISTATS 2015 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014