Guoshuai Zhao

According to our database, Guoshuai Zhao authored at least 59 papers between 2010 and 2024.

Collaborative distances:

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

2024

Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models.

Feng Wu, Guoshuai Zhao, Yuerong Zhou, Xueming Qian, Baedorf-Kassis Elias, Li-Wei H. Lehman

IEEE Trans. Biomed. Eng., April, 2024

Split-Check: Boosting Product Recognition via Instance-Level Retrieval.

Chengxu Liu, Zongyang Da, Yuanzhi Liang, Yao Xue, Guoshuai Zhao, Xueming Qian

IEEE Trans. Ind. Informatics, March, 2024

Product Recognition for Unmanned Vending Machines.

Chengxu Liu, Zongyang Da, Yuanzhi Liang, Yao Xue, Guoshuai Zhao, Xueming Qian

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Improved Continually Evolved Classifiers for Few-Shot Class-Incremental Learning.

Ye Wang, Guoshuai Zhao, Xueming Qian

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Resolving Zero-Shot and Fact-Based Visual Question Answering via Enhanced Fact Retrieval.

Sen Wu, Guoshuai Zhao, Xueming Qian

IEEE Trans. Multim., 2024

Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model.

Yuxia Wu, Guoshuai Zhao, Mingdi Li, Zhuocheng Zhang, Xueming Qian

IEEE Trans. Multim., 2024

Personalized Representation With Contrastive Loss for Recommendation Systems.

Hao Tang, Guoshuai Zhao, Jing Gao, Xueming Qian

IEEE Trans. Multim., 2024

Anubis: Towards Reliable Cloud AI Infrastructure via Proactive Validation.

Yifan Xiong, Yuting Jiang, Ziyue Yang, Lei Qu, Guoshuai Zhao, Shuguang Liu, Dong Zhong, Boris Pinzur, Jie Zhang, Yang Wang, Jithin Jose, Hossein Pourreza, Jeff Baxter, Kushal Datta, Prabhat Ram, Luke Melton, Joe Chau, Peng Cheng, Yongqiang Xiong, Lidong Zhou

CoRR, 2024

2023

Learning to complement: Relation complementation network for few-shot class-incremental learning.

Ye Wang, Yaxiong Wang, Guoshuai Zhao, Xueming Qian

Knowl. Based Syst., December, 2023

Fine-grained semantic textual similarity measurement via a feature separation network.

Qiang Chen, Guoshuai Zhao, Yuxia Wu, Xueming Qian

Appl. Intell., August, 2023

Joint Reason Generation and Rating Prediction for Explainable Recommendation.

Jihua Zhu, Yujiao He, Guoshuai Zhao, Xuxiao Bu, Xueming Qian

IEEE Trans. Knowl. Data Eng., May, 2023

What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences With Features.

Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Jihua Zhu, Xueming Qian

IEEE Trans. Knowl. Data Eng., May, 2023

Generative label fused network for image-text matching.

Guoshuai Zhao, Chaofeng Zhang, Heng Shang, Yaxiong Wang, Li Zhu, Xueming Qian

Knowl. Based Syst., March, 2023

Aspect-based sentiment analysis via multitask learning for online reviews.

Guoshuai Zhao, Yiling Luo, Qiang Chen, Xueming Qian

Knowl. Based Syst., March, 2023

State Graph Reasoning for Multimodal Conversational Recommendation.

Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua

IEEE Trans. Multim., 2023

Multisample-Based Contrastive Loss for Top-K Recommendation.

Hao Tang, Guoshuai Zhao, Yuxia Wu, Xueming Qian

IEEE Trans. Multim., 2023

Fine-Grained Conditional Convolution Network With Geographic Features for Temperature Prediction.

Cheng Zhang, Guoshuai Zhao, Junjiao Liu, Xingjun Zhang, Xueming Qian

IEEE Trans. Geosci. Remote. Sens., 2023

Ranking-based contrastive loss for recommendation systems.

Hao Tang, Guoshuai Zhao, Yujiao He, Yuxia Wu, Xueming Qian

Knowl. Based Syst., 2023

A Multiview Text Imagination Network Based on Latent Alignment for Image-Text Matching.

Heng Shang, Guoshuai Zhao, Jing Shi, Xueming Qian

IEEE Intell. Syst., 2023

FP8-LM: Training FP8 Large Language Models.

Houwen Peng, Kan Wu, Yixuan Wei, Guoshuai Zhao, Yuxiang Yang, Ze Liu, Yifan Xiong, Ziyue Yang, Bolin Ni, Jingcheng Hu, Ruihang Li, Miaosen Zhang, Chen Li, Jia Ning, Ruizhe Wang, Zheng Zhang, Shuguang Liu, Joe Chau, Han Hu, Peng Cheng

CoRR, 2023

Knowledge Transfer-Driven Few-Shot Class-Incremental Learning.

Ye Wang, Yaxiong Wang, Guoshuai Zhao, Xueming Qian

CoRR, 2023

Logic Diffusion for Knowledge Graph Reasoning.

Xiaoying Xie, Biao Gong, Yiliang Lv, Zhen Han, Guoshuai Zhao, Xueming Qian

CoRR, 2023

A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction.

Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman

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

2022

Annular-Graph Attention Model for Personalized Sequential Recommendation.

Junmei Hao, Yujie Dun, Guoshuai Zhao, Yuxia Wu, Xueming Qian

IEEE Trans. Multim., 2022

Personalized Long- and Short-term Preference Learning for Next POI Recommendation.

Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian

IEEE Trans. Knowl. Data Eng., 2022

Combining Non-sampling and Self-attention for Sequential Recommendation.

Guangjin Chen, Guoshuai Zhao, Li Zhu, Zhimin Zhuo, Xueming Qian

Inf. Process. Manag., 2022

A Neural Corpus Indexer for Document Retrieval.

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang

CoRR, 2022

PERD: Personalized Emoji Recommendation with Dynamic User Preference.

Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Xueming Qian

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

A Neural Corpus Indexer for Document Retrieval.

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning.

Yihao Zhou, Guoshuai Zhao, Xueming Qian

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

2021

Continual Multiview Task Learning via Deep Matrix Factorization.

Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2021

Deep Multi-View Subspace Clustering With Unified and Discriminative Learning.

Qianqian Wang, Jiafeng Cheng, Quanxue Gao, Guoshuai Zhao, Licheng Jiao

IEEE Trans. Multim., 2021

CAPER: Context-Aware Personalized Emoji Recommendation.

Guoshuai Zhao, Zhidan Liu, Yulu Chao, Xueming Qian

IEEE Trans. Knowl. Data Eng., 2021

Deep multi-task learning model for time series prediction in wireless communication.

Kailin Cao, Ting Hu, Zishuo Li, Guoshuai Zhao, Xueming Qian

Phys. Commun., 2021

Dynamic evolution of multi-graph based collaborative filtering for recommendation systems.

Hao Tang, Guoshuai Zhao, Xuxiao Bu, Xueming Qian

Knowl. Based Syst., 2021

Hashing person re-ID with self-distilling smooth relaxation.

Hanyang Jin, Shenqi Lai, Guoshuai Zhao, Xueming Qian

Neurocomputing, 2021

Multi-Sample based Contrastive Loss for Top-k Recommendation.

Hao Tang, Guoshuai Zhao, Yuxia Wu, Xueming Qian

CoRR, 2021

2020

Location Recommendation for Enterprises by Multi-Source Urban Big Data Analysis.

Guoshuai Zhao, Tianlei Liu, Xueming Qian, Tao Hou, Huan Wang, Xingsong Hou, Zhetao Li

IEEE Trans. Serv. Comput., 2020

Personalized location recommendation by fusing sentimental and spatial context.

Guoshuai Zhao, Peiliang Lou, Xueming Qian, Xingsong Hou

Knowl. Based Syst., 2020

An Extended Knowledge Representation Learning Approach for Context-based Traceability Link Recovery.

Guoshuai Zhao, Tong Li, Zhen Yang

Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

An Extended Knowledge Representation Learning Approach for Context-Based Traceability Link Recovery: Extended Abstract.

Guoshuai Zhao, Tong Li, Zhen Yang

Proceedings of the 7th IEEE International Workshop on Artificial Intelligence for Requirements Engineering, 2020

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations.

Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploring Users' Internal Influence from Reviews for Social Recommendation.

Guoshuai Zhao, Xiaojiang Lei, Xueming Qian, Tao Mei

IEEE Trans. Multim., 2019

Personalized Reason Generation for Explainable Song Recommendation.

Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian

ACM Trans. Intell. Syst. Technol., 2019

Enhancing Content Marketing Article Detection With Graph Analysis.

Xiao Liang, Chenxu Wang, Guoshuai Zhao

IEEE Access, 2019

Long- and Short-term Preference Learning for Next POI Recommendation.

Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Rating prediction by exploring user's preference and sentiment.

Xiang Ma, Xiaojiang Lei, Guoshuai Zhao, Xueming Qian

Multim. Tools Appl., 2018

Why You Should Listen to This Song: Reason Generation for Explainable Recommendation.

Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Service Rating Prediction by Exploring Social Mobile Users' Geographical Locations.

Guoshuai Zhao, Xueming Qian, Chen Kang

IEEE Trans. Big Data, 2017

2016

User-Service Rating Prediction by Exploring Social Users' Rating Behaviors.

Guoshuai Zhao, Xueming Qian, Xing Xie

IEEE Trans. Multim., 2016

Rating Prediction Based on Social Sentiment From Textual Reviews.

Xiaojiang Lei, Xueming Qian, Guoshuai Zhao

IEEE Trans. Multim., 2016

Service Quality Evaluation by Exploring Social Users' Contextual Information.

Guoshuai Zhao, Xueming Qian, Xiaojiang Lei, Tao Mei

IEEE Trans. Knowl. Data Eng., 2016

Finding Optimal Meteorological Observation Locations by Multi-source Urban Big Data Analysis.

Tianlei Liu, Guoshuai Zhao, Huan Wang, Xingsong Hou, Xueming Qian, Tao Hou

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

Schedule a Rich Sentimental Travel via Sentimental POI Mining and Recommendation.

Peiliang Lou, Guoshuai Zhao, Xueming Qian, Huan Wang, Xingsong Hou

Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016

2015

Service Objective Evaluation via Exploring Social Users' Rating Behaviors.

Guoshuai Zhao, Xueming Qian

Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

Prospects and Challenges of Deep Understanding Social Users and Urban Services - A Position Paper.

Guoshuai Zhao, Xueming Qian

Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

2014

Personalized Recommendation Combining User Interest and Social Circle.

Xueming Qian, He Feng, Guoshuai Zhao, Tao Mei

IEEE Trans. Knowl. Data Eng., 2014

Personalized Recommendation by Exploring Social Users' Behaviors.

Guoshuai Zhao, Xueming Qian, He Feng

Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

2010

A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Non-uniform Hypermutation.

Xinchao Zhao, Guoli Liu, Huqiu Liu, Guoshuai Zhao, Shaozhang Niu

Int. J. Comput. Intell. Syst., 2010