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2020 – today
- 2024
[c22]Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu:
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. IJCAI 2024: 5707-5715- [i14]Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu:
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. CoRR abs/2405.03481 (2024) - 2023
- [c21]Shanlei Mu
, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM 2023: 1857-1866 - [c20]Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu:
Global Balanced Experts for Federated Long-Tailed Learning. ICCV 2023: 4792-4802 - [c19]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: 2370-2378 - [c18]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. KDD 2023: 5204-5214 - [c17]Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. SIGIR 2023: 2032-2036 - [c16]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: 3037-3046 - [c15]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: 983-991 - [i13]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. CoRR abs/2302.02592 (2023) - [i12]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR abs/2302.02636 (2023) - [i11]Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. CoRR abs/2303.05847 (2023) - [i10]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 abs/2305.08328 (2023) - 2022
- [c14]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: 4635-4639 - [c13]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: 9-17 - [c12]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. SIGIR 2022: 2634-2638 - [c11]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: 2645-2649 - [c10]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. WWW 2022: 2078-2087 - [i9]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. CoRR abs/2201.08024 (2022) - [i8]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 abs/2205.07295 (2022) - [i7]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 abs/2205.08943 (2022) - [i6]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. CoRR abs/2205.14970 (2022) - [i5]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 abs/2206.12147 (2022) - [i4]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 abs/2206.13108 (2022) - [i3]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 abs/2208.13442 (2022) - [i2]Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. CoRR abs/2211.11191 (2022) - 2021
- [c9]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: 3528-3532 - [c8]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: 2036-2040 - [i1]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 abs/2105.07706 (2021)
2010 – 2019
- 2016
- [j3]Shaoguo Liu, Haibo Wang, Jue Wang, Chunhong Pan:
Blur-Kernel Bound Estimation From Pyramid Statistics. IEEE Trans. Circuits Syst. Video Technol. 26(5): 1012-1016 (2016) - 2015
- [j2]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): 239-250 (2015) - [j1]Shaoguo Liu, Haibo Wang, Jue Wang, Sunghyun Cho, Chunhong Pan:
Automatic blur-kernel-size estimation for motion deblurring. Vis. Comput. 31(5): 733-746 (2015) - 2013
- [c7]Shaoguo Liu, Ying Wang, Haibo Wang, Chunhong Pan:
Kinect Depth Inpainting via Graph Laplacian with TV21 Regularization. ACPR 2013: 251-255 - [c6]Jixia Zhang, Haibo Wang, Shaoguo Liu, Franck Davoine, Chunhong Pan, Shiming Xiang:
Active learning based automatic face segmentation for kinect video. ICASSP 2013: 1816-1820 - [c5]Shaoguo Liu, Ying Wang, Jue Wang, Haibo Wang, Jixia Zhang, Chunhong Pan:
Kinect depth restoration via energy minimization with TV21 regularization. ICIP 2013: 724 - [c4]Jixia Zhang, Haibo Wang, Shaoguo Liu, Jiangyong Duan, Ying Wang, Chunhong Pan:
An integrated graph-based face segmentation approach from Kinect videos. ICIP 2013: 2733-2737 - [c3]Shaoguo Liu, Haibo Wang, Ying Wang, Jixia Zhang, Chunhong Pan:
Maximum correntropy criterion based 3D head tracking with commodity depth camera. ICIP 2013: 2782-2786 - 2011
- [c2]Haibo Wang, Chunhong Pan, Franck Davoine, Shaoguo Liu:
Hierarchical fusion of descriptor matching and L-K optical flow. ICIP 2011: 1893-1896 - [c1]Shaoguo Liu, Haibo Wang, Jixia Zhang, Franck Davoine, Chunhong Pan:
Softferns for homography estimation. ICIP 2011: 2981-2984
Coauthor Index
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