Shenglin Zhao

According to our database, Shenglin Zhao authored at least 26 papers between 2013 and 2022.

Collaborative distances:

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

2022

Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation.

Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King

CoRR, 2022

A Robust Visual-Inertial Odometry Based on RANSAC Modeling and Motion Conflict in Dynamic Environments.

Shenglin Zhao, Haoyuan Cai, Ya-Qian Liu, Chengnie Liao, Chunxiu Liu

Proceedings of the WiP Proceedings of the Twelfth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2022) co-located with 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2022), Beijing, China, 5 September, 2022

Improving Your Graph Neural Networks: A High-Frequency Booster.

Jiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

A Data-Driven Sequential Localization Framework for Big Telco Data.

Fangzhou Zhu, Mingxuan Yuan, Xike Xie, Ting Wang, Shenglin Zhao, Weixiong Rao, Jia Zeng

IEEE Trans. Knowl. Data Eng., 2021

Making Online Sketching Hashing Even Faster.

Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu

IEEE Trans. Knowl. Data Eng., 2021

Hand Gesture Recognition on a Resource-Limited Interactive Wristband.

Shenglin Zhao, Haoyuan Cai, Wenkuan Li, Ya-Qian Liu, Chunxiu Liu

Sensors, 2021

A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor.

Wenkuan Li, Haoyuan Cai, Shenglin Zhao, Ya-Qian Liu, Chunxiu Liu

Int. J. Autom. Comput., 2021

2020

Effective Data-Aware Covariance Estimator From Compressed Data.

Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King

IEEE Trans. Neural Networks Learn. Syst., 2020

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution.

Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Boosting the Transferability of Adversarial Samples via Attention.

Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems.

Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators.

Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Point-of-Interest Recommendation in Location-Based Social Networks

Shenglin Zhao, Michael R. Lyu, Irwin King

Springer Briefs in Computer Science, Springer, ISBN: 978-981-13-1348-6, 2018

Location-Based Social Network Analysis.

Shenglin Zhao

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Personalized Sequential Check-in Prediction: Beyond Geographical and Temporal Contexts.

Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017

Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation.

Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Mining Business Opportunities from Location-based Social Networks.

Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation.

Shenglin Zhao, Irwin King, Michael R. Lyu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method.

Sheng Zhang, Shenglin Zhao, Mingxuan Yuan, Jia Zeng, Jianguo Yao, Michael R. Lyu, Irwin King

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network.

Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation.

Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu

CoRR, 2016

A Survey of Point-of-interest Recommendation in Location-based Social Networks.

Shenglin Zhao, Irwin King, Michael R. Lyu

CoRR, 2016

Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation.

Qi Xie, Shenglin Zhao, Zibin Zheng, Jieming Zhu, Michael R. Lyu

Proceedings of the IEEE International Conference on Web Services, 2016

Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation.

Shenglin Zhao, Michael R. Lyu, Irwin King

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation.

Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2013

Capturing Geographical Influence in POI Recommendations.

Shenglin Zhao, Irwin King, Michael R. Lyu

Proceedings of the Neural Information Processing - 20th International Conference, 2013