Xu, Ning

69 publications

NeurIPS 2025 Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning Junkai Zhang, Jinmin He, Yifan Zhang, Yifan Zang, Ning Xu, Jian Cheng

NeurIPS 2025 Can Class-Priors Help Single-Positive Multi-Label Learning? Biao Liu, Ning Xu, Jie Wang, Xin Geng

ICML 2025 Progressively Label Enhancement for Large Language Model Alignment Biao Liu, Ning Xu, Xin Geng

NeurIPS 2025 Reduction-Based Pseudo-Label Generation for Instance-Dependent Partial Label Learning Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng

CVPR 2025 SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity Yijie Xu, Bolun Zheng, Wei Zhu, Hangjia Pan, Yuchen Yao, Ning Xu, Anan Liu, Quan Zhang, Chenggang Yan

ICLR 2025 Selective Label Enhancement Learning for Test-Time Adaptation Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu

NeurIPS 2025 Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning Tianxing Wu, Shutong Zhu, Jingting Wang, Ning Xu, Guilin Qi, Haofen Wang

UAI 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning Jie Wang, Ning Xu, Xin Geng

ICML 2024 Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng

ICML 2024 Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng

CVPRW 2024 Exploring Real World mAP Change Generalization of Prior-Informed HD mAP Prediction Models Samuel M. Bateman, Ning Xu, H. Charles Zhao, Yael Ben Shalom, Vince Gong, Greg Long, Will Maddern

ECCVW 2024 LSVOS Challenge Report: Large-Scale Complex and Long Video Object Segmentation Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, Lingling Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu

WACV 2024 Latent-Guided Exemplar-Based Image Re-Colorization Wenjie Yang, Ning Xu, Yifei Fan

ICML 2024 Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu

ICML 2024 ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng

NeurIPS 2024 What Makes Partial-Label Learning Algorithms Effective? Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng

ICLR 2023 Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao, Ning Xu, Xin Geng

ICML 2023 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng

AAAI 2023 FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning Haiyun Li, Jixin Zhang, Ning Xu, Mingyu Liu

AAAI 2023 Imbalanced Label Distribution Learning Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng

NeurIPS 2023 Learning from Biased Soft Labels Hua Yuan, Yu Shi, Ning Xu, Xu Yang, Xin Geng, Yong Rui

ICML 2023 Progressive Purification for Instance-Dependent Partial Label Learning Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng

ICML 2023 Revisiting Pseudo-Label for Single-Positive Multi-Label Learning Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng

WACV 2023 TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang

CVPR 2023 Towards Effective Visual Representations for Partial-Label Learning Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng

IJCAI 2023 Unreliable Partial Label Learning with Recursive Separation Yu Shi, Ning Xu, Hua Yuan, Xin Geng

IJCAI 2022 Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng

IJCAI 2022 Fusion Label Enhancement for Multi-Label Learning Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng

AAAI 2022 Hierarchical Image Generation via Transformer-Based Sequential Patch Selection Xiaogang Xu, Ning Xu

ECCV 2022 Image Inpainting with Cascaded Modulation GAN and Object-Aware Training Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo

AAAI 2022 Learngene: From Open-World to Your Learning Task Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu

NeurIPS 2022 One Positive Label Is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang

CVPR 2022 SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu

CVPR 2022 Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma

ICCV 2021 A Simple Baseline for Weakly-Supervised Scene Graph Generation Jing Shi, Yiwu Zhong, Ning Xu, Yin Li, Chenliang Xu

ICCV 2021 End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks Tao Wang, Ning Xu, Kean Chen, Weiyao Lin

AAAI 2021 High-Resolution Deep Image Matting Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi

NeurIPS 2021 Instance-Dependent Partial Label Learning Ning Xu, Congyu Qiao, Xin Geng, Min-Ling Zhang

ICCV 2021 Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism Wentao Jiang, Ning Xu, Jiayun Wang, Chen Gao, Jing Shi, Zhe Lin, Si Liu

CVPR 2021 Learning by Planning: Language-Guided Global Image Editing Jing Shi, Ning Xu, Yihang Xu, Trung Bui, Franck Dernoncourt, Chenliang Xu

ICCVW 2021 MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni

CVPR 2021 Mask Guided Matting via Progressive Refinement Network Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan Yuille

IJCAI 2021 Video Summarization via Label Distributions Dual-Reward Yongbiao Gao, Ning Xu, Xin Geng

AAAI 2020 Channel Attention Is All You Need for Video Frame Interpolation Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee

NeurIPS 2020 Delving into the Cyclic Mechanism in Semi-Supervised Video Object Segmentation Yuxi Li, Ning Xu, Jinlong Peng, John See, Weiyao Lin

ECCVW 2020 Disentangled Image Generation for Unsupervised Domain Adaptation Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto

AAAI 2020 Finding Action Tubes with a Sparse-to-Dense Framework Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu

ECCV 2020 Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang

IJCAI 2020 Label Distribution for Learning with Noisy Labels Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng

ICLR 2020 Minimizing FLOPs to Learn Efficient Sparse Representations Biswajit Paria, Chih-Kuan Yeh, Ian E. H. Yen, Ning Xu, Pradeep Ravikumar, Barnabás Póczos

ECCV 2020 Multiple Sound Sources Localization from Coarse to Fine Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin

AAAI 2020 Partial Multi-Label Learning with Label Distribution Ning Xu, Yun-Peng Liu, Xin Geng

ICML 2020 Variational Label Enhancement Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng

IJCAI 2020 Video Question Answering on Screencast Tutorials Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin

ICCVW 2019 AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results Seungjun Nah, Heewon Kim, Bohyung Han, Ning Xu, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Wang Shen, Wenbo Bao, Guangtao Zhai, Sanghyun Son, Li Chen, Zhiyong Gao, Guannan Chen, Yunhua Lu, Ran Duan, Tong Liu, Lijie Zhang, Woon-Sung Park, Munchurl Kim, George Pisha, Radu Timofte, Eyal Naor, Lior Aloni, Kyoung Mu Lee, Li Siyao, Ze Pan, Xiangyu Xu, Wenxiu Sun, Myungsub Choi

AAAI 2019 Partial Label Learning via Label Enhancement Ning Xu, Jiaqi Lv, Xin Geng

ICLR 2019 Slimmable Neural Networks Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas Huang

IJCAI 2019 Weakly Supervised Multi-Label Learning via Label Enhancement Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng

IJCAI 2018 Label Enhancement for Label Distribution Learning Ning Xu, An Tao, Xin Geng

IJCAI 2018 Multi-Level Policy and Reward Reinforcement Learning for Image Captioning Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang

ICML 2018 WSNet: Compact and Efficient Networks Through Weight Sampling Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan

ECCV 2018 YouTube-VOS: Sequence-to-Sequence Video Object Segmentation Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian Price, Scott Cohen, Thomas Huang

CVPR 2017 Deep Image Matting Ning Xu, Brian Price, Scott Cohen, Thomas Huang

CVPR 2016 Deep Interactive Object Selection Ning Xu, Brian Price, Scott Cohen, Jimei Yang, Thomas S. Huang

UAI 2006 Propagation of Delays in the National Airspace System Kathryn B. Laskey, Ning Xu, Chun-Hung Chen

CVPR 2005 Videoshop: A New Framework for Spatio-Temporal Video Editing in Gradient Domain Hongcheng Wang, Ning Xu, Ramesh Raskar, Narendra Ahuja

CVPR 2004 Recovering Shape and Reflectance Model of Non-Lambertian Objects from Multiple Views Tian-Li Yu, Ning Xu, Narendra Ahuja

ECCV 2004 Shape and View Independent Reflectance mAP from Multiple Views Tian-Li Yu, Ning Xu, Narendra Ahuja

CVPR 2003 Object Segmentation Using Graph Cuts Based Active Contours Ning Xu, Ravi Bansal, Narendra Ahuja