Liu, Ying

11 publications

MLJ 2025 Deep Sub-Ensembles Meets Quantile Regression: Uncertainty-Aware Imputation for Time Series Ying Liu, Peng Cui, Wenbo Hu, Richang Hong

AAAI 2025 Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning Xiang Zhang, Wanqing Zhao, Pengyang Li, Ying Liu, Hangzai Luo, Sheng Zhong, Jinye Peng, Jianping Fan

AAAI 2025 Semi-Implicit Neural Ordinary Differential Equations Hong Zhang, Ying Liu, Romit Maulik

CVPRW 2024 NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel

MLHC 2024 Network-Assisted Mediation Analysis with High-Dimensional Neuroimaging Mediators Baoyi Shi, Ying Liu, Shanghong Xie, Xi Zhu, Yuanjia Wang

AISTATS 2023 Covariate-Informed Representation Learning to Prevent Posterior Collapse of iVAE Young-Geun Kim, Ying Liu, Xue-Xin Wei

NeurIPSW 2023 Semi-Implicit Neural Ordinary Differential Equations for Learning Chaotic Systems Hong Zhang, Ying Liu, Romit Maulik

IJCAI 2019 LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou

ACML 2019 Multi-Modal Representation Learning for Successive POI Recommendation Lishan Li, Ying Liu, Jianping Wu, Lin He, Gang Ren

NeurIPS 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs Ying Liu, Alan Willsky

AAAI 2007 TableRank: A Ranking Algorithm for Table Search and Retrieval Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles