| Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization Y Zhu, H Lu, P Qiu, K Shi, J Chambua, Z Niu Neurocomputing 415, 84-95, 2020 | 108 | 2020 |
| Lexical based automated teaching evaluation via students’ short reviews Q Lin, Y Zhu, S Zhang, P Shi, Q Guo, Z Niu Computer Applications in Engineering Education 27 (1), 194-205, 2019 | 73 | 2019 |
| Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks Y Zhu, Q Lin, H Lu, K Shi, P Qiu, Z Niu Knowledge-Based Systems 215, 106744, 2021 | 50 | 2021 |
| Heterogeneous knowledge-based attentive neural networks for short-term music recommendations Q Lin, Y Niu, Y Zhu, H Lu, KZ Mushonga, Z Niu IEEE Access 6, 58990-59000, 2018 | 43 | 2018 |
| Using adverse weather data in social media to assist with city-level traffic situation awareness and alerting H Lu, Y Zhu, K Shi, Y Lv, P Shi, Z Niu Applied Sciences 8 (7), 1193, 2018 | 35 | 2018 |
| Incorporating context graph with logical reasoning for inductive relation prediction Q Lin, J Liu, F Xu, Y Pan, Y Zhu, L Zhang, T Zhao Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 34 | 2022 |
| Improving University Faculty Evaluations via multi-view Knowledge Graph Q Lin, Y Zhu, H Lu, K Shi, Z Niu Future Generation Computer Systems 117, 181-192, 2021 | 34 | 2021 |
| Academic rising star prediction via scholar’s evaluation model and machine learning techniques Y Nie, Y Zhu, Q Lin, S Zhang, P Shi, Z Niu Scientometrics 120 (2), 461-476, 2019 | 34 | 2019 |
| Recommending learning objects through attentive heterogeneous graph convolution and operation-aware neural network Y Zhu, Q Lin, H Lu, K Shi, D Liu, J Chambua, S Wan, Z Niu IEEE Transactions on Knowledge and Data Engineering 35 (4), 4178-4189, 2021 | 29 | 2021 |
| Wide-grained capsule network with sentence-level feature to detect meteorological event in social network K Shi, C Gong, H Lu, Y Zhu, Z Niu Future Generation Computer Systems 102, 323-332, 2020 | 29 | 2020 |
| Social signal-driven knowledge automation: A focus on social transportation H Lu, Y Zhu, Y Yuan, W Gong, J Li, K Shi, Y Lv, Z Niu, FY Wang IEEE Transactions on Computational Social Systems 8 (3), 737-753, 2021 | 25 | 2021 |
| Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace Y Zhu, S Zhang, Y Li, H Lu, K Shi, Z Niu Geoscience Data Journal 7 (1), 61-79, 2020 | 23 | 2020 |
| User preferences prediction approach based on embedded deep summaries J Chambua, Z Niu, Y Zhu Expert Systems with Applications 132, 87-98, 2019 | 22 | 2019 |
| Sensing urban transportation events from multi-channel social signals with the Word2vec fusion model H Lu, K Shi, Y Zhu, Y Lv, Z Niu Sensors 18 (12), 4093, 2018 | 21 | 2018 |
| Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity Y Zhu, X Li, Y Qiao, R Shang, G Shi, Y Shang, H Guo Medical Image Analysis 73, 102163, 2021 | 20 | 2021 |
| Automatic generation of meteorological briefing by event knowledge guided summarization model K Shi, H Lu, Y Zhu, Z Niu Knowledge-Based Systems 192, 105379, 2020 | 18 | 2020 |
| The divided brain: Functional brain asymmetry underlying self-construal G Shi, X Li, Y Zhu, R Shang, Y Sun, H Guo, J Sui NeuroImage 240, 118382, 2021 | 17 | 2021 |
| WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window Y Zhu, F Cong, D Zhang, W Gong, Q Lin, W Feng, Y Dong, J Tang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 16 | 2023 |
| EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings K Shi, Y Wang, H Lu, Y Zhu, Z Niu Information Processing & Management 58 (4), 102564, 2021 | 15 | 2021 |
| Application of social sensors in natural disasters emergency management: a review K Shi, X Peng, H Lu, Y Zhu, Z Niu IEEE Transactions on Computational Social Systems 10 (6), 3143-3158, 2022 | 11 | 2022 |
Kaize Shi, PhDsUniversity of Technology Sydney在 uts.edu.au 的电子邮件经过验证
