Guoshuai Zhao

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 55

Top Topics

Rating Prediction

Geographical Locations

Top Venues

IEEE Trans. Multim.

IEEE Trans. Knowl. Data Eng.

Knowl. Based Syst.

Publications

Sen Wu, Guoshuai Zhao, Xueming Qian
Resolving Zero-Shot and Fact-Based Visual Question Answering via Enhanced Fact Retrieval. IEEE Trans. Multim. 26 (2024)
Chengxu Liu, Zongyang Da, Yuanzhi Liang, Yao Xue, Guoshuai Zhao, Xueming Qian
Product Recognition for Unmanned Vending Machines. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Feng Wu, Guoshuai Zhao, Yuerong Zhou, Xueming Qian, Baedorf-Kassis Elias, Li-Wei H. Lehman
Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models. IEEE Trans. Biomed. Eng. 71 (4) (2024)
Yuxia Wu, Guoshuai Zhao, Mingdi Li, Zhuocheng Zhang, Xueming Qian
Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model. IEEE Trans. Multim. 26 (2024)
Hao Tang, Guoshuai Zhao, Jing Gao, Xueming Qian
Personalized Representation With Contrastive Loss for Recommendation Systems. IEEE Trans. Multim. 26 (2024)
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
SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation. USENIX ATC (2024)
Ye Wang, Guoshuai Zhao, Xueming Qian
Improved Continually Evolved Classifiers for Few-Shot Class-Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. 34 (2) (2024)
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
Anubis: Towards Reliable Cloud AI Infrastructure via Proactive Validation. CoRR (2024)
Chengxu Liu, Zongyang Da, Yuanzhi Liang, Yao Xue, Guoshuai Zhao, Xueming Qian
Split-Check: Boosting Product Recognition via Instance-Level Retrieval. IEEE Trans. Ind. Informatics 20 (3) (2024)
Xiaoying Xie, Biao Gong, Yiliang Lv, Zhen Han, Guoshuai Zhao, Xueming Qian
Logic Diffusion for Knowledge Graph Reasoning. CoRR (2023)
Heng Shang, Guoshuai Zhao, Jing Shi, Xueming Qian
A Multiview Text Imagination Network Based on Latent Alignment for Image-Text Matching. IEEE Intell. Syst. 38 (3) (2023)
Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua
State Graph Reasoning for Multimodal Conversational Recommendation. IEEE Trans. Multim. 25 (2023)
Jihua Zhu, Yujiao He, Guoshuai Zhao, Xuxiao Bu, Xueming Qian
Joint Reason Generation and Rating Prediction for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Guoshuai Zhao, Yiling Luo, Qiang Chen, Xueming Qian
Aspect-based sentiment analysis via multitask learning for online reviews. Knowl. Based Syst. 264 (2023)
Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Jihua Zhu, Xueming Qian
What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences With Features. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Ye Wang, Yaxiong Wang, Guoshuai Zhao, Xueming Qian
Learning to complement: Relation complementation network for few-shot class-incremental learning. Knowl. Based Syst. 282 (2023)
Hao Tang, Guoshuai Zhao, Yuxia Wu, Xueming Qian
Multisample-Based Contrastive Loss for Top-K Recommendation. IEEE Trans. Multim. 25 (2023)
Ye Wang, Yaxiong Wang, Guoshuai Zhao, Xueming Qian
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning. CoRR (2023)
Feng Wu, Guoshuai Zhao, Xueming Qian, Li-Wei H. Lehman
A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. IJCAI (2023)
Qiang Chen, Guoshuai Zhao, Yuxia Wu, Xueming Qian
Fine-grained semantic textual similarity measurement via a feature separation network. Appl. Intell. 53 (15) (2023)
Hao Tang, Guoshuai Zhao, Yujiao He, Yuxia Wu, Xueming Qian
Ranking-based contrastive loss for recommendation systems. Knowl. Based Syst. 261 (2023)
Cheng Zhang, Guoshuai Zhao, Junjiao Liu, Xingjun Zhang, Xueming Qian
Fine-Grained Conditional Convolution Network With Geographic Features for Temperature Prediction. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Guoshuai Zhao, Chaofeng Zhang, Heng Shang, Yaxiong Wang, Li Zhu, Xueming Qian
Generative label fused network for image-text matching. Knowl. Based Syst. 263 (2023)
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
FP8-LM: Training FP8 Large Language Models. CoRR (2023)
Junmei Hao, Yujie Dun, Guoshuai Zhao, Yuxia Wu, Xueming Qian
Annular-Graph Attention Model for Personalized Sequential Recommendation. IEEE Trans. Multim. 24 (2022)
Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Xueming Qian
PERD: Personalized Emoji Recommendation with Dynamic User Preference. SIGIR (2022)
Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian
Personalized Long- and Short-term Preference Learning for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Guangjin Chen, Guoshuai Zhao, Li Zhu, Zhimin Zhuo, Xueming Qian
Combining Non-sampling and Self-attention for Sequential Recommendation. Inf. Process. Manag. 59 (2) (2022)
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
A Neural Corpus Indexer for Document Retrieval. NeurIPS (2022)
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
A Neural Corpus Indexer for Document Retrieval. CoRR (2022)
Yihao Zhou, Guoshuai Zhao, Xueming Qian
Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning. CIKM (2022)
Hao Tang, Guoshuai Zhao, Xuxiao Bu, Xueming Qian
Dynamic evolution of multi-graph based collaborative filtering for recommendation systems. Knowl. Based Syst. 228 (2021)
Guoshuai Zhao, Zhidan Liu, Yulu Chao, Xueming Qian
CAPER: Context-Aware Personalized Emoji Recommendation. IEEE Trans. Knowl. Data Eng. 33 (9) (2021)
Qianqian Wang, Jiafeng Cheng, Quanxue Gao, Guoshuai Zhao, Licheng Jiao
Deep Multi-View Subspace Clustering With Unified and Discriminative Learning. IEEE Trans. Multim. 23 (2021)
Hanyang Jin, Shenqi Lai, Guoshuai Zhao, Xueming Qian
Hashing person re-ID with self-distilling smooth relaxation. Neurocomputing 455 (2021)
Kailin Cao, Ting Hu, Zishuo Li, Guoshuai Zhao, Xueming Qian
Deep multi-task learning model for time series prediction in wireless communication. Phys. Commun. 44 (2021)
Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu
Continual Multiview Task Learning via Deep Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Hao Tang, Guoshuai Zhao, Yuxia Wu, Xueming Qian
Multi-Sample based Contrastive Loss for Top-k Recommendation. CoRR (2021)
Guoshuai Zhao, Peiliang Lou, Xueming Qian, Xingsong Hou
Personalized location recommendation by fusing sentimental and spatial context. Knowl. Based Syst. 196 (2020)
Guoshuai Zhao, Tianlei Liu, Xueming Qian, Tao Hou, Huan Wang, Xingsong Hou, Zhetao Li
Location Recommendation for Enterprises by Multi-Source Urban Big Data Analysis. IEEE Trans. Serv. Comput. 13 (6) (2020)
Guoshuai Zhao, Tong Li, Zhen Yang
An Extended Knowledge Representation Learning Approach for Context-Based Traceability Link Recovery: Extended Abstract. AIRE@RE (2020)
Jun Li, Gan Sun, Guoshuai Zhao, Li-Wei H. Lehman
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. AAAI (2020)
Guoshuai Zhao, Tong Li, Zhen Yang
An Extended Knowledge Representation Learning Approach for Context-based Traceability Link Recovery. SEKE (2020)
Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian
Personalized Reason Generation for Explainable Song Recommendation. ACM Trans. Intell. Syst. Technol. 10 (4) (2019)
Guoshuai Zhao, Xiaojiang Lei, Xueming Qian, Tao Mei
Exploring Users' Internal Influence from Reviews for Social Recommendation. IEEE Trans. Multim. 21 (3) (2019)
Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian
Long- and Short-term Preference Learning for Next POI Recommendation. CIKM (2019)
Xiao Liang, Chenxu Wang, Guoshuai Zhao
Enhancing Content Marketing Article Detection With Graph Analysis. IEEE Access 7 (2019)
Xiang Ma, Xiaojiang Lei, Guoshuai Zhao, Xueming Qian
Rating prediction by exploring user's preference and sentiment. Multim. Tools Appl. 77 (6) (2018)
Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian
Why You Should Listen to This Song: Reason Generation for Explainable Recommendation. ICDM Workshops (2018)
Guoshuai Zhao, Xueming Qian, Chen Kang
Service Rating Prediction by Exploring Social Mobile Users' Geographical Locations. IEEE Trans. Big Data 3 (1) (2017)
Guoshuai Zhao, Xueming Qian, Xing Xie
User-Service Rating Prediction by Exploring Social Users' Rating Behaviors. IEEE Trans. Multim. 18 (3) (2016)
Peiliang Lou, Guoshuai Zhao, Xueming Qian, Huan Wang, Xingsong Hou
Schedule a Rich Sentimental Travel via Sentimental POI Mining and Recommendation. BigMM (2016)
Xiaojiang Lei, Xueming Qian, Guoshuai Zhao
Rating Prediction Based on Social Sentiment From Textual Reviews. IEEE Trans. Multim. 18 (9) (2016)
Tianlei Liu, Guoshuai Zhao, Huan Wang, Xingsong Hou, Xueming Qian, Tao Hou
Finding Optimal Meteorological Observation Locations by Multi-source Urban Big Data Analysis. CCBD (2016)
Guoshuai Zhao, Xueming Qian, Xiaojiang Lei, Tao Mei
Service Quality Evaluation by Exploring Social Users' Contextual Information. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Guoshuai Zhao, Xueming Qian
Prospects and Challenges of Deep Understanding Social Users and Urban Services - A Position Paper. BigMM (2015)
Guoshuai Zhao, Xueming Qian
Service Objective Evaluation via Exploring Social Users' Rating Behaviors. BigMM (2015)
Xueming Qian, He Feng, Guoshuai Zhao, Tao Mei
Personalized Recommendation Combining User Interest and Social Circle. IEEE Trans. Knowl. Data Eng. 26 (7) (2014)
Guoshuai Zhao, Xueming Qian, He Feng
Personalized Recommendation by Exploring Social Users' Behaviors. MMM (2) (2014)
Xinchao Zhao, Guoli Liu, Huqiu Liu, Guoshuai Zhao, Shaozhang Niu
A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Non-uniform Hypermutation. Int. J. Comput. Intell. Syst. 3 (sup01) (2010)