Shaoguo Liu

According to our database, Shaoguo Liu authored at least 38 papers between 2011 and 2026.

Collaborative distances:

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

2026

DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage.

Haowen Gao, Zhenyu Zhang, Liang Pang, Fangda Guo, Hongjian Dou, Guannan Lv, Shaoguo Liu, Tingting Gao, Huawei Shen, Xueqi Cheng

CoRR, March, 2026

QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling.

Tian Xia, Jiaqi Zhang, Yueyang Liu, Hongjian Dou, Tingya Yin, Jiangxia Cao, Xulei Liang, Tianlu Xie, Lihao Liu, Xiang Chen, Shen Wang, Changxin Lao, Haixiang Gan, Jinkai Yu, Keting Cen, Lu Hao, Xu Zhang, Qiqiang Zhong, Zhongbo Sun, Yiyu Wang, Shuang Yang, Mingxin Wen, Xiangyu Wu, Shaoguo Liu, Tingting Gao, Zhaojie Liu, Han Li, Kun Gai

CoRR, February, 2026

OneMall: One Architecture, More Scenarios - End-to-End Generative Recommender Family at Kuaishou E-Commerce.

Kun Zhang, Jingming Zhang, Wei Cheng, Yansong Cheng, Jiaqi Zhang, Hao Lu, Xu Zhang, Haixiang Gan, Jiangxia Cao, Tenglong Wang, Ximing Zhang, Boyang Xia, Kuo Cai, Shiyao Wang, Hongjian Dou, Jinkai Yu, Mingxing Wen, Qiang Luo, Dongxu Liang, Chenyi Lei, Jun Wang, Runan Liu, Zhaojie Liu, Ruiming Tang, Tingting Gao, Shaoguo Liu, Yuqing Ding, Hui Kong, Han Li, Guorui Zhou, Wenwu Ou, Kun Gai

CoRR, January, 2026

2025

Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules.

Chenyu Zhou, Xiaoming Shi, Hui Qiu, Xiawu Zheng, Haitao Leng, Yankai Jiang, Shaoguo Liu, Tingting Gao, Rongrong Ji

CoRR, September, 2025

Enhancing Supervised Composed Image Retrieval via Reasoning-Augmented Representation Engineering.

Jun Li, Kai Li, Shaoguo Liu, Tingting Gao

CoRR, August, 2025

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations.

Yiming Lei, Zhizheng Yang, Zeming Liu, Haitao Leng, Shaoguo Liu, Tingting Gao, Qingjie Liu, Yunhong Wang

CoRR, May, 2025

KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus.

Xiaoming Shi, Zeming Liu, Yiming Lei, Chenkai Zhang, Haitao Leng, Chuan Wang, Qingjie Liu, Wanxiang Che, Shaoguo Liu, Size Li, Yunhong Wang

CoRR, March, 2025

Reliable Imputed-Sample Assisted Vertical Federated Learning.

Yaopei Zeng, Lei Liu, Shaoguo Liu, Hongjian Dou, Baoyuan Wu, Li Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding.

Chenkai Zhang, Yiming Lei, Zeming Liu, Haitao Leng, Shaoguo Liu, Tingting Gao, Qingjie Liu, Yunhong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GODBench: A Benchmark for Multimodal Large Language Models in Video Comment Art.

Yiming Lei, Chenkai Zhang, Zeming Liu, Haitao Leng, Shaoguo Liu, Tingting Gao, Qingjie Liu, Yunhong Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers.

Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation.

Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng

Proceedings of the ACM Web Conference 2023, 2023

Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning.

Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning.

Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads.

Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach.

Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Global Balanced Experts for Federated Long-Tailed Learning.

Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking.

Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation.

Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng

CoRR, 2022

Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation.

Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng

CoRR, 2022

MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising.

Xiao Wang, Shaoguo Liu, Yidong Jia, Yuxin Fu, Yufang Yu, Liang Wang, Bo Zheng

CoRR, 2022

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation.

Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising.

Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng

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

Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding.

Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng

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

CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning.

Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction.

Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach.

Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoHERI: Automated Hierarchical Representation Integration for Post-Click Conversion Rate Estimation.

Penghui Wei, Weimin Zhang, Zixuan Xu, Shaoguo Liu, Kuang-chih Lee, Bo Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2016

Blur-Kernel Bound Estimation From Pyramid Statistics.

Shaoguo Liu, Haibo Wang, Jue Wang, Chunhong Pan

IEEE Trans. Circuits Syst. Video Technol., 2016

2015

Automatic blur-kernel-size estimation for motion deblurring.

Shaoguo Liu, Haibo Wang, Jue Wang, Sunghyun Cho, Chunhong Pan

Vis. Comput., 2015

BB-Homography: Joint Binary Features and Bipartite Graph Matching for Homography Estimation.

Shaoguo Liu, Haibo Wang, Yiyi Wei, Chunhong Pan

IEEE Trans. Circuits Syst. Video Technol., 2015

2013

An integrated graph-based face segmentation approach from Kinect videos.

Jixia Zhang, Haibo Wang, Shaoguo Liu, Jiangyong Duan, Ying Wang, Chunhong Pan

Proceedings of the IEEE International Conference on Image Processing, 2013

Maximum correntropy criterion based 3D head tracking with commodity depth camera.

Shaoguo Liu, Haibo Wang, Ying Wang, Jixia Zhang, Chunhong Pan

Proceedings of the IEEE International Conference on Image Processing, 2013

Kinect depth restoration via energy minimization with TV21 regularization.

Shaoguo Liu, Ying Wang, Jue Wang, Haibo Wang, Jixia Zhang, Chunhong Pan

Proceedings of the IEEE International Conference on Image Processing, 2013

Active learning based automatic face segmentation for kinect video.

Jixia Zhang, Haibo Wang, Shaoguo Liu, Franck Davoine, Chunhong Pan, Shiming Xiang

Proceedings of the IEEE International Conference on Acoustics, 2013

Kinect Depth Inpainting via Graph Laplacian with TV21 Regularization.

Shaoguo Liu, Ying Wang, Haibo Wang, Chunhong Pan

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2011

Hierarchical fusion of descriptor matching and L-K optical flow.

Haibo Wang, Chunhong Pan, Franck Davoine, Shaoguo Liu

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Softferns for homography estimation.

Shaoguo Liu, Haibo Wang, Jixia Zhang, Franck Davoine, Chunhong Pan

Proceedings of the 18th IEEE International Conference on Image Processing, 2011