Introduction
Yong Li got his Ph.D degree from national laboratory of pattern recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), with the supervision of Pro. Songde Ma and Pro. Hanqing Lu. He got his B.E. degree from the Huazhong University of Science and Technology (HUST). His current research interest includes machine learning, computer vision and computational advertising. He was the Winner of Scene Parsing task in Places Challenge at ICCV 2017. He ranked the 3rd place among 1895 teams in KDD Cup 2020 Challenges for Modern E-Commerce Platform. He also has good knowledge of mathematical modelling. He received the first prize in Chinese Undergraduate Mathematical Contest in Modelling (CUMCM) 2009. He was invited to the camp of Microsoft Young Fellow in 2010 and was a recipient of the Microsoft Young Fellowship. Google Scholar
Publications
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning, Jiaxing Wang, Yong Li, Jingwei Zhuo, Xupeng Shi, Weizhong Zhang, Lixing Gong, Tong Tao, Pengzhang Liu, Yongjun Bao, Weipeng Yan, ICLR 2023
Dynamic Graph Modeling for Weakly-Supervised Temporal Action Localization, Haichao Shi, Xiaoyu Zhang, Changsheng Li, Lixing Gong, Yong Li, Yongjun Bao, ACM Multimedia 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, SIGIR 2022
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, RecSys 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 Yan, RecSys 2020
Dimension Relation Modeling for Click-Through Rate Prediction, Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan, Conference on Information and Knowledge Management(CIKM) 2020
Scene Segmentation With Dual Relation-Aware Attention Network, Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu, IEEE Transactions on Neural Networks and Learning Systems(TNNLS) 2020
Contextual Deconvolution Network for Semantic Segmentation, Jun Fu, Jing Liu, Yong Li, Yongjun Bao, Weipeng Yan, Zhiwei Fang, Hanqing Lu, Pattern Recognition(PR) 2020
Adaptive Context Network for Scene Parsing (ACNet), Jun Fu, Jing Liu, Yuhang Wang, Yong Li, Yongjun Bao, Jinhui Tang, Hanqing Lu, International Conference on Computer Vision(ICCV) 2019
Dual Attention Network for Scene Segmentation (DANet) , Code, Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu, Conference on Computer Vision and Pattern Recognition(CVPR) 2019
Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation Jing Liu, Yuhang Wang, Yong Li, Jun Fu, Jiangyun Li, Hanqing Lu, IEEE Transactions on Neural Networks and Learning Systems(TNNLS) 2018
Hierarchically Supervised Deconvolutional Network for Semantic Video Segmentation Yuhang Wang, Jing Liu, Yong Li, Jun Fu, Min Xu, Hanqing Lu, Pattern Recognition 2017, p437-445
Objectness-aware Semantic Segmentation Yuhang Wang, Jing Liu, Yong Li, Junjie Yan, Hanqing Lu, ACM Multimedia 2016, p307-311
Object-aware Deep Network for Commodity Image Retrieval Zhiwei Fang, Jing Liu, Yuhang Wang, Yong Li, Jinhui Tang, Hanqing Lu, ICMR 2016, p405-408
Weakly Supervised RBM for Semantic Segmentation, ORAL, Poster, Yong Li, Jing Liu, Yuhang Wang, Hanqing Lu, Songde Ma, IJCAI, 2015, p1888-1894
Semi- and Weakly-Supervised Segmantic Segmantation With Deep Convoluational Neural Networks, Yuhang Wang, Jing Liu, Yong Li, Hanqing Lu, ACM Multimedia 2015, p1223-1226
Color Names Learning Using Convolutional Neural Networks, Yuhang Wang, Jing Liu, Jinqiao Wang, Yong Li, Hanqing Lu, ICIP 2015, p217-221
Learning Robust Face Representation with Classwise Block-Diagonal Structure, Code, Yong Li, Jing Liu, Hanqing Lu, Songde Ma, IEEE Trans. Inf. Forensics Security, 2014, p2051-2062
Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition(ORAL),Code, Yong Li, Jing Liu, Zechao Li, Yangmuzi Zhang, Hanqing Lu, Songde Ma, AAAI 2014, P2810-2816
Object Co-segmentation via Salient and Common Regions Discovery, Yong Li, Jing Liu, Zechao Li, Hanqing Lu, Songde Ma, Neurocomputing, 2016
Object co-segmentation via discriminative low rank matrix recovery, Yong Li, Jing Liu, Zechao Li, Yang Liu, Hanqing Lu, ACM Multimedia 2013, P749-752
Awards
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing, Rank 3/1895 in Track A, 4/1895 in Track B, 2020
Winner of Scene Parsing in Places Challenge at ICCV COCO Places Workshop, 2017
"First Prize"in the Challenger Match of Alibaba Large-scale Image Search Challenge (ALISC), Total Rank 5/800+, Team Leader, 2015.11
"Second Place" in the ImageCLEF Annotation Task to annotate and localize 500,000 web images with 251 concepts , Work Notes, Team Leader, 2015
"The First-Class Scholarship" of PanDeng prize (6/500+), 2015
“Excellent Student Leader” award was received (2%), 2012
“Merit Student” award was received (15%), 2012, 2014
"Microsoft young fellowship" was honored (30 in total around the country), 2010
"National Encouragement Scholarship" was received, 2010
First Prize in Chinese Undergraduate Mathematical Contests in Modeling(CUMCM), Team Leader, 2009.