Yong Li

According to our database, Yong Li authored at least 27 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction.

Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao

CoRR, 2022

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR Prediction.

Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao, Non Non

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization.

Haichao Shi, Xiaoyu Zhang, Changsheng Li, Lixing Gong, Yong Li, Yongjun Bao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

Scene Segmentation With Dual Relation-Aware Attention Network.

Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu

IEEE Trans. Neural Networks Learn. Syst., 2021

Labeling Document Images for E-Commence Products with Tree-Based Segment Re-organizing and Hierarchical Transformer.

Peng Li, Pingguang Yuan, Yong Li, Yongjun Bao, Weipeng Yan

Proceedings of the Document Analysis and Recognition, 2021

2020

Contextual deconvolution network for semantic segmentation.

Jun Fu, Jing Liu, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu

Pattern Recognit., 2020

A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit.

Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System.

Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Dimension Relation Modeling for Click-Through Rate Prediction.

Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

BTDP: Toward Sparse Fusion with Block Term Decomposition Pooling for Visual Question Answering.

Zhiwei Fang, Jing Liu, Xueliang Liu, Qu Tang, Yong Li, Hanqing Lu

ACM Trans. Multim. Comput. Commun. Appl., 2019

Improving visual question answering using dropout and enhanced question encoder.

Zhiwei Fang, Jing Liu, Yong Li, Yanyuan Qiao, Hanqing Lu

Pattern Recognit., 2019

Adaptive Context Network for Scene Parsing.

Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dual Attention Network for Scene Segmentation.

Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation.

Jing Liu, Yuhang Wang, Yong Li, Jun Fu, Jiangyun Li, Hanqing Lu

IEEE Trans. Neural Networks Learn. Syst., 2018

Enhancing Visual Question Answering Using Dropout.

Zhiwei Fang, Jing Liu, Yanyuan Qiao, Qu Tang, Yong Li, Hanqing Lu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Answer Distillation for Visual Question Answering.

Zhiwei Fang, Jing Liu, Qu Tang, Yong Li, Hanqing Lu

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation.

Yuhang Wang, Jing Liu, Yong Li, Jun Fu, Min Xu, Hanqing Lu

Pattern Recognit., 2017

2016

Object co-segmentation via salient and common regions discovery.

Yong Li, Jing Liu, Zechao Li, Hanqing Lu, Songde Ma

Neurocomputing, 2016

Objectness-aware Semantic Segmentation.

Yuhang Wang, Jing Liu, Yong Li, Junjie Yan, Hanqing Lu

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Object-aware Deep Network for Commodity Image Retrieval.

Zhiwei Fang, Jing Liu, Yuhang Wang, Yong Li, Hang Song, Jinhui Tang, Hanqing Lu

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

2015

Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks.

Yuhang Wang, Jing Liu, Yong Li, Hanqing Lu

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Weakly Supervised RBM for Semantic Segmentation.

Yong Li, Jing Liu, Yuhang Wang, Hanqing Lu, Songde Ma

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Color names learning using convolutional neural networks.

Yuhang Wang, Jing Liu, Jinqiao Wang, Yong Li, Hanqing Lu

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization.

Yong Li, Jing Liu, Yuhang Wang, Bingyuan Liu, Jun Fu, Yunze Gao, Hui Wu, Hang Song, Peng Ying, Hanqing Lu

Proceedings of the Working Notes of CLEF 2015, 2015

2014

Learning Robust Face Representation With Classwise Block-Diagonal Structure.

Yong Li, Jing Liu, Hanqing Lu, Songde Ma

IEEE Trans. Inf. Forensics Secur., 2014

Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition.

Yong Li, Jing Liu, Zechao Li, Yangmuzi Zhang, Hanqing Lu, Songde Ma

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Object co-segmentation via discriminative low rank matrix recovery.

Yong Li, Jing Liu, Zechao Li, Yang Liu, Hanqing Lu

Proceedings of the ACM Multimedia Conference, 2013