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ORCIDShenglin Zhao
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2020 – today
- 2022
[c16]Jiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang
:
Improving Your Graph Neural Networks: A High-Frequency Booster. ICDM (Workshops) 2022: 748-756- [c15]Shenglin Zhao, Haoyuan Cai, Ya-Qian Liu, Chengnie Liao, Chunxiu Liu:
A Robust Visual-Inertial Odometry Based on RANSAC Modeling and Motion Conflict in Dynamic Environments. IPIN-WiP 2022 - [i7]Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King:
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR abs/2209.13973 (2022) - [i6]Jiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang:
Improving Your Graph Neural Networks: A High-Frequency Booster. CoRR abs/2210.08251 (2022) - 2021
- [j6]Wenkuan Li, Haoyuan Cai, Shenglin Zhao, Ya-Qian Liu, Chunxiu Liu:
A Fast Vision-inertial Odometer Based on Line Midpoint Descriptor. Int. J. Autom. Comput. 18(4): 667-679 (2021) - [j5]Shenglin Zhao, Haoyuan Cai, Wenkuan Li, Ya-Qian Liu, Chunxiu Liu:
Hand Gesture Recognition on a Resource-Limited Interactive Wristband. Sensors 21(17): 5713 (2021) - [j4]Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu:
Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. 33(3): 1089-1101 (2021) - [j3]Fangzhou Zhu, Mingxuan Yuan, Xike Xie, Ting Wang, Shenglin Zhao, Weixiong Rao, Jia Zeng:
A Data-Driven Sequential Localization Framework for Big Telco Data. IEEE Trans. Knowl. Data Eng. 33(8): 3007-3019 (2021) - 2020
- [j2]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-Aware Covariance Estimator From Compressed Data. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2441-2454 (2020) - [c14]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Boosting the Transferability of Adversarial Samples via Attention. CVPR 2020: 1158-1167 - [c13]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. CVPR 2020: 8649-8658 - [i5]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Making Online Sketching Hashing Even Faster. CoRR abs/2010.04948 (2020) - [i4]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-aware Covariance Estimator from Compressed Data. CoRR abs/2010.04966 (2020)
2010 – 2019
- 2019
- [c12]Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. IJCAI 2019: 3483-3489 - [c11]Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. IJCAI 2019: 4264-4270 - [i3]Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. CoRR abs/1905.13129 (2019) - 2018
- [b1]Shenglin Zhao, Michael R. Lyu, Irwin King:
Point-of-Interest Recommendation in Location-Based Social Networks. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-13-1348-6, pp. 1-99 - [j1]Shenglin Zhao, Irwin King, Michael R. Lyu:
Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation. Neural Process. Lett. 47(3): 975-992 (2018) - [c10]Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Personalized Sequential Check-in Prediction: Beyond Geographical and Temporal Contexts. ICME 2018: 1-6 - [r1]Shenglin Zhao:
Location-Based Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [c9]Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang:
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network. CIKM 2017: 97-106 - [c8]Sheng Zhang, Shenglin Zhao, Mingxuan Yuan, Jia Zeng, Jianguo Yao, Michael R. Lyu, Irwin King:
Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method. SIGSPATIAL/GIS 2017: 29:1-29:10 - [c7]Shenglin Zhao, Irwin King, Michael R. Lyu:
Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation. ICONIP (5) 2017: 368-377 - [c6]Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan:
Mining Business Opportunities from Location-based Social Networks. SIGIR 2017: 1037-1040 - [c5]Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. WWW (Companion Volume) 2017: 153-162 - 2016
- [c4]Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King:
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. AAAI 2016: 315-322 - [c3]Shenglin Zhao, Michael R. Lyu, Irwin King:
Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation. ICONIP (3) 2016: 450-458 - [c2]Qi Xie, Shenglin Zhao, Zibin Zheng, Jieming Zhu, Michael R. Lyu:
Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation. ICWS 2016: 204-211 - [i2]Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation. CoRR abs/1606.05859 (2016) - [i1]Shenglin Zhao, Irwin King, Michael R. Lyu:
A Survey of Point-of-interest Recommendation in Location-based Social Networks. CoRR abs/1607.00647 (2016) - 2013
- [c1]Shenglin Zhao, Irwin King, Michael R. Lyu:
Capturing Geographical Influence in POI Recommendations. ICONIP (2) 2013: 530-537
Coauthor Index
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