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← Authors

Ke Sun

46 papers · 2008–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) πŸ”¬ Deep Specialist (10) πŸ† Grand Slam πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (200) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (44) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (9)

Conferences

NIPS (10) AAAI (9) ICML (6) CVPR (3) EMNLP (3) ICCV (3) ACL (2) ACML (2) ECCV (2) IJCNLP (2) ICLR (1) IJCAI (1) RSS (1) UAI (1)

Top co-authors

Rongrong Ji (8) Taiping Yao (5) Shen Chen (5) Shouhong Ding (5) Xiaoshuai Sun (4) Stephane Marchand-Maillet (4) Jun Wang (3) Alexandros Kalousis (3) Linglong Kong (3) Hong Liu (3)

Research topics

Privacy (2) Differential Privacy (1)

Keywords

contrastive learning (4) domain generalization (4) representation learning (4) semi-supervised learning (3) information geometry (3) face forgery detection (3) dimensionality reduction (3) graph convolutional network (3) fisher information (3) convolutional neural network (2) deep reinforcement learning (2) riemannian manifold (2) recurrent neural network (2) diffusion model (2) probability distribution (2) manifold learning (2) neural network optimization (2) human pose estimation (2) deepfake detection (2) natural gradient (2)

Papers

Leveraging Sparse Observations to Predict Species Abundance Across Space and Time AAAI 2026 AutoFigure-Edit: Generating Editable Scientific Illustrations via Reference-Guided Styling ACL 2026 Security Attacks on LLM-based Code Completion Tools AAAI 2025 Towards General Visual-Linguistic Face Forgery Detection CVPR 2025 AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models ICCV 2025 Distributional Reinforcement Learning with Regularized Wasserstein Loss NIPS 2024 DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion NIPS 2024 ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024 CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models AAAI 2024 Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition AAAI 2024 Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024 Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition ECCV 2024 DVPE: Divided View Position Embedding for Multi-View 3D Object Detection IJCAI 2024 Trade-Offs of Diagonal Fisher Information Matrix Estimators NIPS 2024 InterFormer: Real-time Interactive Image Segmentation ICCV 2023 Gloss-Free End-to-End Sign Language Translation ACL 2023 Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy ACML 2023 Transformed Distribution Matching for Missing Value Imputation ICML 2023 Dynamic Open-book Prompt for Conversational Recommender System EMNLP 2023 Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy NIPS 2022 Secure Quantized Training for Deep Learning ICML 2022 An Information Theoretic Approach for Attention-Driven Face Forgery Detection ECCV 2022 Dual Contrastive Learning for General Face Forgery Detection AAAI 2022 Fair Wrapping for Black-box Predictions NIPS 2022 Domain General Face Forgery Detection by Learning to Weight AAAI 2021 Contrastive Laplacian Eigenmaps NIPS 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NIPS 2021 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models ICLR 2021 Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression CVPR 2021 On the Variance of the Fisher Information for Deep Learning NIPS 2021 Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation AAAI 2020 Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes AAAI 2020 DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset EMNLP 2020 Deep High-Resolution Representation Learning for Human Pose Estimation CVPR 2019 Fisher-Bures Adversary Graph Convolutional Networks UAI 2019 Representation Learning of Compositional Data NIPS 2018 Trajectory Optimization On Manifolds with Applications to SO(3) and R3XS2 RSS 2018 Human Pose Estimation Using Global and Local Normalization ICCV 2017 Relative Fisher Information and Natural Gradient for Learning Large Modular Models ICML 2017 Information Geometry and Minimum Description Length Networks ICML 2015 Space-Time Local Embeddings NIPS 2015 Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014 Two-Stage Metric Learning ICML 2014 An Information Geometry of Statistical Manifold Learning ICML 2014 A Hierarchical Semantics-Aware Distributional Similarity Scheme IJCNLP 2013 A Study of Chinese Lexical Analysis Based on Discriminative Models IJCNLP 2008