Sun, Ke

46 publications

ICCV 2025 AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models Ziyin Zhou, Yunpeng Luo, Yuanchen Wu, Ke Sun, Jiayi Ji, Ke Yan, Shouhong Ding, Xiaoshuai Sun, Yunsheng Wu, Rongrong Ji

NeurIPS 2025 Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-Aware Regularized Exploration in Reinforcement Learning Ke Sun, Yingnan Zhao, Enze Shi, Yafei Wang, Xiaodong Yan, Bei Jiang, Linglong Kong

AAAI 2025 Security Attacks on LLM-Based Code Completion Tools Wen Cheng, Ke Sun, Xinyu Zhang, Wei Wang

CVPR 2025 Towards General Visual-Linguistic Face Forgery Detection Ke Sun, Shen Chen, Taiping Yao, Ziyin Zhou, Jiayi Ji, Xiaoshuai Sun, Chia-Wen Lin, Rongrong Ji

TMLR 2024 A Distance-Based Anomaly Detection Framework for Deep Reinforcement Learning Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller

AAAI 2024 CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models Zhongxi Chen, Ke Sun, Xianming Lin

AAAI 2024 Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition Qi Rao, Ke Sun, Xiaohan Wang, Qi Wang, Bang Zhang

IJCAI 2024 DVPE: Divided View Position Embedding for Multi-View 3D Object Detection Jiasen Wang, Zhenglin Li, Ke Sun, Xianyuan Liu, Yang Zhou

NeurIPS 2024 DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji

NeurIPS 2024 Distributional Reinforcement Learning with Regularized Wasserstein Loss Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong

ECCV 2024 Enhancing Tampered Text Detection Through Frequency Feature Fusion and Decomposition Zhongxi Chen, Shen Chen, Taiping Yao, Ke Sun, Shouhong Ding, Xianming Lin, Liujuan Cao, Rongrong Ji

ICMLW 2024 How Does Return Distribution in Distributional Reinforcement Learning Help Optimization? Ke Sun, Bei Jiang, Linglong Kong

AAAI 2024 ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting Ke Sun, Pei Liu, Pengfei Li, Zhifang Liao

ICMLW 2024 Reweighted Bellman Targets for Continual Reinforcement Learning Ke Sun, Jun Jin, Xi Chen, Wulong Liu, Linglong Kong

NeurIPS 2024 Trade-Offs of Diagonal Fisher Information Matrix Estimators Alexander Soen, Ke Sun

ECML-PKDD 2023 Cold-Start Multi-Hop Reasoning by Hierarchical Guidance and Self-Verification Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian

ECML-PKDD 2023 Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations Ke Sun, Yingnan Zhao, Shangling Jui, Linglong Kong

ICCV 2023 InterFormer: Real-Time Interactive Image Segmentation You Huang, Hao Yang, Ke Sun, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Rongrong Ji

ICMLW 2023 Non-Linear Embeddings in Hilbert Simplex Geometry Frank Nielsen, Ke Sun

ACML 2023 Patch-Level Neighborhood Interpolation: A General and Effective Graph-Based Regularization Strategy Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu

ICML 2023 Transformed Distribution Matching for Missing Value Imputation He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla

ECCV 2022 An Information Theoretic Approach for Attention-Driven Face Forgery Detection Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji

AAAI 2022 Dual Contrastive Learning for General Face Forgery Detection Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji

NeurIPS 2022 Fair Wrapping for Black-Box Predictions Alexander Soen, Ibrahim M Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie

NeurIPS 2022 Identification, Amplification and Measurement: A Bridge to Gaussian Differential Privacy Yi Liu, Ke Sun, Bei Jiang, Linglong Kong

ICML 2022 Secure Quantized Training for Deep Learning Marcel Keller, Ke Sun

ICCVW 2021 A Dual-Stream Framework for 3D Mask Face Presentation Attack Detection Shen Chen, Taiping Yao, Ke-Yue Zhang, Yang Chen, Ke Sun, Shouhong Ding, Jilin Li, Feiyue Huang, Rongrong Ji

ICLR 2021 AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun, Zhanxing Zhu, Zhouchen Lin

CVPR 2021 Bottom-up Human Pose Estimation via Disentangled Keypoint Regression Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang

NeurIPS 2021 Contrastive Laplacian Eigenmaps Hao Zhu, Ke Sun, Peter Koniusz

NeurIPS 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization Ke Sun, Yafei Wang, Yi Liu, Yingnan Zhao, Bo Pan, Shangling Jui, Bei Jiang, Linglong Kong

AAAI 2021 Domain General Face Forgery Detection by Learning to Weight Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji

NeurIPS 2021 On the Variance of the Fisher Information for Deep Learning Alexander Soen, Ke Sun

AAAI 2020 Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes Ke Sun, Zhouchen Lin, Zhanxing Zhu

AAAI 2020 Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin

UAI 2019 Fisher-Bures Adversary Graph Convolutional Networks Ke Sun, Piotr Koniusz, Zhen Wang

CVPRW 2019 Learning Deep Image Priors for Blind Image Denoising Xianxu Hou, Hongming Luo, Jingxin Liu, Bolei Xu, Ke Sun, Yuanhao Gong, Bozhi Liu, Guoping Qiu

NeurIPS 2018 Representation Learning of Compositional Data Marta Avalos, Richard Nock, Cheng Soon Ong, Julien Rouar, Ke Sun

WACV 2017 Deep Feature Consistent Variational Autoencoder Xianxu Hou, LinLin Shen, Ke Sun, Guoping Qiu

ICCV 2017 Human Pose Estimation Using Global and Local Normalization Ke Sun, Cuiling Lan, Junliang Xing, Wenjun Zeng, Dong Liu, Jingdong Wang

ICML 2017 Relative Fisher Information and Natural Gradient for Learning Large Modular Models Ke Sun, Frank Nielsen

ICML 2015 Information Geometry and Minimum Description Length Networks Ke Sun, Jun Wang, Alexandros Kalousis, Stephan Marchand-Maillet

NeurIPS 2015 Space-Time Local Embeddings Ke Sun, Jun Wang, Alexandros Kalousis, Stephane Marchand-Maillet

ICML 2014 An Information Geometry of Statistical Manifold Learning Ke Sun, Stéphane Marchand-Maillet

ACML 2014 Sparsity on Statistical Simplexes and Diversity in Social Ranking Ke Sun, Hisham Mohamed, Stephane Marchand-Maillet

ICML 2014 Two-Stage Metric Learning Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis