| Graph contextualized self-attention network for session-based recommendation. C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang, X Zhou IJCAI 19 (2019), 3940-3946, 2019 | 689 | 2019 |
| Where to go next: A spatio-temporal gated network for next poi recommendation P Zhao, A Luo, Y Liu, J Xu, Z Li, F Zhuang, VS Sheng, X Zhou IEEE Transactions on Knowledge and Data Engineering 34 (5), 2512-2524, 2020 | 532 | 2020 |
| Feature-level deeper self-attention network for sequential recommendation. T Zhang, P Zhao, Y Liu, VS Sheng, J Xu, D Wang, G Liu, X Zhou IJCAI, 4320-4326, 2019 | 345 | 2019 |
| Lc-rnn: A deep learning model for traffic speed prediction. Z Lv, J Xu, K Zheng, H Yin, P Zhao, X Zhou IJCAI 2018, 27, 2018 | 303 | 2018 |
| A Comparative Study of SIFT and its Variants J Wu, Z Cui, VS Sheng, P Zhao, D Su, S Gong Measurement science review 13 (3), 122, 2013 | 283 | 2013 |
| Recurrent convolutional neural network for sequential recommendation C Xu, P Zhao, Y Liu, J Xu, VSS S. Sheng, Z Cui, X Zhou, H Xiong The world wide web conference, 3398-3404, 2019 | 159 | 2019 |
| Collaborative self-attention network for session-based recommendation. A Luo, P Zhao, Y Liu, F Zhuang, D Wang, J Xu, J Fang, VS Sheng IJCAI, 2591-2597, 2020 | 116 | 2020 |
| Multi-label active learning algorithms for image classification: Overview and future promise J Wu, VS Sheng, J Zhang, H Li, T Dadakova, CL Swisher, Z Cui, P Zhao ACM Computing Surveys (CSUR) 53 (2), 1-35, 2020 | 99 | 2020 |
| Long-and short-term self-attention network for sequential recommendation C Xu, J Feng, P Zhao, F Zhuang, D Wang, Y Liu, VS Sheng Neurocomputing 423, 580-589, 2021 | 94 | 2021 |
| On prediction of user destination by sub-trajectory understanding: A deep learning based approach J Zhao, J Xu, R Zhou, P Zhao, C Liu, F Zhu Proceedings of the 27th ACM international conference on information and …, 2018 | 77 | 2018 |
| Where to go next: A spatio-temporal LSTM model for next POI recommendation P Zhao, H Zhu, Y Liu, Z Li, J Xu, VS Sheng arXiv preprint arXiv:1806.06671, 2018 | 77 | 2018 |
| Frequency enhanced hybrid attention network for sequential recommendation X Du, H Yuan, P Zhao, J Qu, F Zhuang, G Liu, Y Liu, VS Sheng Proceedings of the 46th International ACM SIGIR conference on research and …, 2023 | 61 | 2023 |
| Multi-label active learning for image classification J Wu, VS Sheng, J Zhang, P Zhao, Z Cui 2014 IEEE international conference on image processing (ICIP), 5227-5231, 2014 | 59 | 2014 |
| Semantic-aware top-k spatial keyword queries Z Qian, J Xu, K Zheng, P Zhao, X Zhou World Wide Web 21, 573-594, 2018 | 58 | 2018 |
| Unsupervised entity alignment using attribute triples and relation triples F He, Z Li, Y Qiang, A Liu, G Liu, P Zhao, L Zhao, M Zhang, Z Chen Database Systems for Advanced Applications: 24th International Conference …, 2019 | 57 | 2019 |
| Variational self-attention network for sequential recommendation J Zhao, P Zhao, L Zhao, Y Liu, VS Sheng, X Zhou 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1559-1570, 2021 | 54 | 2021 |
| Exploiting aesthetic preference in deep cross networks for cross-domain recommendation J Liu, P Zhao, F Zhuang, Y Liu, VS Sheng, J Xu, X Zhou, H Xiong Proceedings of the web conference 2020, 2768-2774, 2020 | 54 | 2020 |
| An active learning approach with uncertainty, representativeness, and diversity T He, S Zhang, J Xin, P Zhao, J Wu, X Xian, C Li, Z Cui The Scientific World Journal 2014 (1), 827586, 2014 | 53 | 2014 |
| Contrastive learning with bidirectional transformers for sequential recommendation H Du, H Shi, P Zhao, D Wang, VS Sheng, Y Liu, G Liu, L Zhao Proceedings of the 31st ACM International Conference on Information …, 2022 | 50 | 2022 |
| Predicting destinations by a deep learning based approach J Xu, J Zhao, R Zhou, C Liu, P Zhao, L Zhao IEEE Transactions on Knowledge and Data Engineering 33 (2), 651-666, 2019 | 50 | 2019 |
Victor S. ShengProfessor of Computer Science, Texas Tech UniversityVerificeret mail på ttu.edu