Shaoguo Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Binary Features

Online Advertising

Motion Deblurring

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. CoRR (2024)
Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. CoRR (2023)
Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM (2023)
Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. WWW (2023)
Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu
Global Balanced Experts for Federated Long-Tailed Learning. ICCV (2023)
Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. IJCAI (2023)
Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR (2023)
Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. CoRR (2023)
Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. SIGIR (2023)
Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. KDD (2023)
Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. SIGIR (2023)
Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. CoRR (2023)
Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng
Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. CoRR (2022)
Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CoRR (2022)
Xiao Wang, Shaoguo Liu, Yidong Jia, Yuxin Fu, Yufang Yu, Liang Wang, Bo Zheng
MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising. CoRR (2022)
Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. CoRR (2022)
Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CIKM (2022)
Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. WWW (2022)
Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. NAACL-HLT (Industry Papers) (2022)
Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. CoRR (2022)
Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. SIGIR (2022)
Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. CoRR (2022)
Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. CoRR (2022)
Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. CoRR (2022)
Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. SIGIR (2022)
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. SIGIR (2021)
Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng
AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation. CIKM (2021)
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. CoRR (2021)
Shaoguo Liu, Haibo Wang, Jue Wang, Chunhong Pan
Blur-Kernel Bound Estimation From Pyramid Statistics. IEEE Trans. Circuits Syst. Video Technol. 26 (5) (2016)
Shaoguo Liu, Haibo Wang, Yiyi Wei, Chunhong Pan
BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation. IEEE Trans. Circuits Syst. Video Technol. 25 (2) (2015)
Shaoguo Liu, Haibo Wang, Jue Wang, Sunghyun Cho, Chunhong Pan
Automatic blur-kernel-size estimation for motion deblurring. Vis. Comput. 31 (5) (2015)
Shaoguo Liu, Ying Wang, Jue Wang, Haibo Wang, Jixia Zhang, Chunhong Pan
Kinect depth restoration via energy minimization with TV21 regularization. ICIP (2013)
Jixia Zhang, Haibo Wang, Shaoguo Liu, Jiangyong Duan, Ying Wang, Chunhong Pan
An integrated graph-based face segmentation approach from Kinect videos. ICIP (2013)
Shaoguo Liu, Haibo Wang, Ying Wang, Jixia Zhang, Chunhong Pan
Maximum correntropy criterion based 3D head tracking with commodity depth camera. ICIP (2013)
Shaoguo Liu, Ying Wang, Haibo Wang, Chunhong Pan
Kinect Depth Inpainting via Graph Laplacian with TV21 Regularization. ACPR (2013)
Jixia Zhang, Haibo Wang, Shaoguo Liu, Franck Davoine, Chunhong Pan, Shiming Xiang
Active learning based automatic face segmentation for kinect video. ICASSP (2013)
Shaoguo Liu, Haibo Wang, Jixia Zhang, Franck Davoine, Chunhong Pan
Softferns for homography estimation. ICIP (2011)
Haibo Wang, Chunhong Pan, Franck Davoine, Shaoguo Liu
Hierarchical fusion of descriptor matching and L-K optical flow. ICIP (2011)