Jin, Ying

22 publications

ICML 2025 Automated Hypothesis Validation with Agentic Sequential Falsifications Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel Candes, Jure Leskovec

CVPR 2025 Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang

ICCV 2025 UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer Haoxuan Wang, Jinlong Peng, Qingdong He, Hao Yang, Ying Jin, Jiafu Wu, Xiaobin Hu, Yanjie Pan, Zhenye Gan, Mingmin Chi, Bo Peng, Yabiao Wang

ICML 2024 Adaptively Learning to Select-Rank in Online Platforms Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou

NeurIPS 2024 Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees Yu Gui, Ying Jin, Zhimei Ren

NeurIPSW 2024 DAug: Diffusion-Based Channel Augmentation for Radiology Image Retrieval and Classification Ying Jin, Zhuoran Zhou, Haoquan Fang, Jenq-Neng Hwang

AISTATS 2024 Feasible $q$-Learning for Average Reward Reinforcement Learning Ying Jin, Ramki Gummadi, Zhengyuan Zhou, Jose Blanchet

NeurIPSW 2023 Model-Free Selective Inference and Its Applications to Drug Discovery Ying Jin, Emmanuel Candes

JMLR 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data Ying Jin, Dominik Rothenhäusler

CVPR 2023 Multi-Level Logit Distillation Ying Jin, Jiaqi Wang, Dahua Lin

NeurIPS 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao

JMLR 2023 Selection by Prediction with Conformal P-Values Ying Jin, Emmanuel J. Candes

ICML 2023 UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang

NeurIPS 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks Kexin Huang, Ying Jin, Emmanuel Candes, Jure Leskovec

NeurIPS 2022 Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant Ying Jin, Jiaqi Wang, Dahua Lin

ECCV 2022 Should All Proposals Be Treated Equally in Object Detection? Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos

NeurIPS 2021 Few-Shot Object Detection via Association and DIscrimination Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin

ICML 2021 Is Pessimism Provably Efficient for Offline RL? Ying Jin, Zhuoran Yang, Zhaoran Wang

ICCVW 2021 Single-DARTS: Towards Stable Architecture Search Pengfei Hou, Ying Jin, Yukang Chen

ICML 2020 Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model Ying Jin, Zhaoran Wang, Junwei Lu

ECCV 2020 Minimum Class Confusion for Versatile Domain Adaptation Ying Jin, Ximei Wang, Mingsheng Long(), Jianmin Wang

NeurIPS 2019 Transferable Normalization: Towards Improving Transferability of Deep Neural Networks Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I Jordan