Sun, Ying

38 publications

AISTATS 2025 Covariance Selection over Networks Wenfu Xia, Fengpei Li, Ying Sun, Ziping Zhao

JMLR 2025 Decentralized Sparse Linear Regression via Gradient-Tracking Marie Maros, Gesualdo Scutari, Ying Sun, Guang Cheng

JMLR 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis Youcheng Niu, Jinming Xu, Ying Sun, Yan Huang, Li Chai

AAAI 2025 EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity Hongyan Bao, Pengwen Chen, Ying Sun, Zhize Li

ICML 2025 Efficient Skill Discovery via Regret-Aware Optimization He Zhang, Ming Zhou, Shaopeng Zhai, Ying Sun, Hui Xiong

NeurIPS 2025 Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding Weiyu Guo, Ziyang Chen, Shaoguang Wang, Jianxiang He, Yijie Xu, Jinhui Ye, Ying Sun, Hui Xiong

AAAI 2025 Non-Convex Tensor Recovery from Local Measurements Tongle Wu, Ying Sun, Jicong Fan

NeurIPS 2025 Non-Convex Tensor Recovery from Tube-Wise Sensing Tongle Wu, Ying Sun

NeurIPS 2025 OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects Mark He Huang, Lin Geng Foo, Christian Theobalt, Ying Sun, De Wen Soh

ICML 2025 Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models Zheng Gong, Ying Sun

ICML 2025 Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis Weiyu Guo, Ziyue Qiao, Ying Sun, Yijie Xu, Hui Xiong

ICML 2025 Towards Lifelong Model Editing via Simulating Ideal Editor Yaming Guo, Siyang Guo, Hengshu Zhu, Ying Sun

ICML 2025 Understanding the Statistical Accuracy-Communication Trade-Off in Personalized Federated Learning with Minimax Guarantees Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li

ICML 2025 Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach Zhigaoyuan Wang, Ying Sun, Hengshu Zhu

IJCAI 2024 Anomaly Subgraph Detection Through High-Order Sampling Contrastive Learning Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao

IJCAI 2024 Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute Networks Ying Sun

NeurIPS 2024 Implicit Regularization of Decentralized Gradient Descent for Sparse Regression Tongle Wu, Ying Sun

NeurIPS 2024 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong

NeurIPS 2024 SpGesture: Source-Free Domain-Adaptive sEMG-Based Gesture Recognition with Jaccard Attentive Spiking Neural Network Weiyu Guo, Ying Sun, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong

NeurIPS 2024 Tackling Uncertain Correspondences for Multi-Modal Entity Alignment Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong

WACV 2024 Training-Free Object Counting with Prompts Zenglin Shi, Ying Sun, Mengmi Zhang

AISTATS 2024 TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression Zelin He, Ying Sun, Runze Li

CVPR 2023 A General Regret Bound of Preconditioned Gradient Method for DNN Training Hongwei Yong, Ying Sun, Lei Zhang

IJCAI 2023 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng

AAAI 2023 Counterfactual Dynamics Forecasting - A New Setting of Quantitative Reasoning Yanzhu Liu, Ying Sun, Joo-Hwee Lim

JMLR 2023 Distributed Sparse Regression via Penalization Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa

ICCV 2023 Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh, You Li, Ankur Sikarwar, Stan Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

CVPR 2023 Meta Compositional Referring Expression Segmentation Li Xu, Mark He Huang, Xindi Shang, Zehuan Yuan, Ying Sun, Jun Liu

ECML-PKDD 2023 NKFAC: A Fast and Stable KFAC Optimizer for Deep Neural Networks Ying Sun, Hongwei Yong, Lei Zhang

ICLR 2022 Hybrid Local SGD for Federated Learning with Heterogeneous Communications Yuanxiong Guo, Ying Sun, Rui Hu, Yanmin Gong

IJCAI 2022 Monitoring Vegetation from Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net Joshua Fan, Di Chen, Jiaming Wen, Ying Sun, Carla P. Gomes

CVPR 2022 Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo Labels Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan Kankanhalli

ICML 2022 Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-Induced Topology Yan Huang, Ying Sun, Zehan Zhu, Changzhi Yan, Jinming Xu

NeurIPS 2021 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong

AAAI 2021 TAILOR: Teaching with Active and Incremental Learning for Object Registration Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim

AISTATS 2020 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari

JMLR 2019 Decentralized Dictionary Learning over Time-Varying Digraphs Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler

AAAI 1993 A Framework for Model-Based Repair Ying Sun, Daniel S. Weld