Zhang, Yingying

24 publications

NeurIPS 2025 Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving Xinji Mai, Haotian Xu, Xing W, Weinong Wang, Yingying Zhang, Wenqiang Zhang
ICCV 2025 CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance Peiqi Chen, Lei Yu, Yi Wan, Yingying Pei, Xinyi Liu, Yongxiang Yao, Yingying Zhang, Lixiang Ru, Liheng Zhong, Jingdong Chen, Ming Yang, Yongjun Zhang
NeurIPS 2025 Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation Feichen Gan, Lu Youcun, Yingying Zhang, Yukun Liu
ICML 2025 DLP: Dynamic Layerwise Pruning in Large Language Models Yuli Chen, Bo Cheng, Jiale Han, Yingying Zhang, Yingting Li, Shuhao Zhang
AAAI 2025 HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation Xiaolong Wang, Lei Yu, Yingying Zhang, Jiangwei Lao, Lixiang Ru, Liheng Zhong, Jingdong Chen, Yu Zhang, Ming Yang
AAAI 2025 Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging Chuang Liu, Yichao Cao, YingYing Zhang, Xiu Su, Haogang Zhu
ICCV 2025 SkySense V2: A Unified Foundation Model for Multi-Modal Remote Sensing Yingying Zhang, Lixiang Ru, Kang Wu, Lei Yu, Lei Liang, Yansheng Li, Jingdong Chen
CVPR 2025 SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling Qi Zhu, Jiangwei Lao, Deyi Ji, Junwei Luo, Kang Wu, Yingying Zhang, Lixiang Ru, Jian Wang, Jingdong Chen, Ming Yang, Dong Liu, Feng Zhao
NeurIPS 2025 Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens Xixian Yong, Xiao Zhou, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu
ICCV 2025 When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning Junwei Luo, Yingying Zhang, Xue Yang, Kang Wu, Qi Zhu, Lei Liang, Jingdong Chen, Yansheng Li
ICLR 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
NeurIPS 2024 MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu, Yingying Zhang, Yi Ouyang, Ziheng Zhang, Huimin Wang, Zhenxi Lin, Jie Yang, Shuang Zhao, Yefeng Zheng
ECCV 2024 POA: Pre-Training Once for Models of All Sizes Yingying Zhang, Xin Guo, Jiangwei Lao, Lei Yu, Lixiang Ru, Jian Wang, Guo Ye, Huimei He, Jingdong Chen, Ming Yang
ICLR 2024 Pathformer: Multi-Scale Transformers with Adaptive Pathways for Time Series Forecasting Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
CVPR 2024 SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery Xin Guo, Jiangwei Lao, Bo Dang, Yingying Zhang, Lei Yu, Lixiang Ru, Liheng Zhong, Ziyuan Huang, Kang Wu, Dingxiang Hu, Huimei He, Jian Wang, Jingdong Chen, Ming Yang, Yongjun Zhang, Yansheng Li
AISTATS 2023 Conformal Off-Policy Prediction Yingying Zhang, Chengchun Shi, Shikai Luo
CVPR 2023 Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation Jiangwei Lao, Weixiang Hong, Xin Guo, Yingying Zhang, Jian Wang, Jingdong Chen, Wei Chu
IJCAI 2022 Ridgeless Regression with Random Features Jian Li, Yong Liu, Yingying Zhang
JMLR 2022 Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification Yingying Zhang, Yan-Yong Zhao, Heng Lian
ICCV 2021 Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou
AAAI 2021 Knowledge-Aware Dialogue Generation with Hybrid Attention (Student Abstract) Yaru Zhao, Bo Cheng, Yingying Zhang
AAAI 2020 Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks Yingying Zhang, Junyu Gao, Xiaoshan Yang, Chang Liu, Yan Li, Changsheng Xu
AAAI 2019 Learning Incremental Triplet Margin for Person Re-Identification Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu
CVPR 2016 Single-Image Crowd Counting via Multi-Column Convolutional Neural Network Yingying Zhang, Desen Zhou, Siqin Chen, Shenghua Gao, Yi Ma