Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation L Wang, W Zhang, X He, H Zha Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 327 | 2018 |
Source-Free Domain Adaptation for Semantic Segmentation Y Liu, W Zhang, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 292 | 2021 |
STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream W Feng, C Zhang, W Zhang, J Han, J Wang, C Aggarwal, J Huang 2015 IEEE 31st International Conference on Data Engineering (ICDE), 1561 - 1572, 2015 | 202 | 2015 |
Combining latent factor model with location features for event-based group recommendation W Zhang, J Wang, W Feng Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 183 | 2013 |
Adaptive multi-teacher multi-level knowledge distillation Y Liu, W Zhang, J Wang Neurocomputing 415, 106-113, 2020 | 172 | 2020 |
IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning P Lu, L Qiu, J Chen, T Xia, Y Zhao, W Zhang, Z Yu, X Liang, SC Zhu arXiv preprint arXiv:2110.13214, 2021 | 151 | 2021 |
Beyond clicks: Modeling multi-relational item graph for session-based target behavior prediction W Wang, W Zhang, S Liu, Q Liu, B Zhang, L Lin, H Zha WWW'20 (arXiv preprint arXiv:2002.07993), 2020 | 140 | 2020 |
A collective bayesian poisson factorization model for cold-start local event recommendation W Zhang, J Wang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 134 | 2015 |
R-VQA: learning visual relation facts with semantic attention for visual question answering P Lu, L Ji, W Zhang, N Duan, M Zhou, J Wang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 100 | 2018 |
Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering P Lu, H Li, W Zhang, J Wang, X Wang arXiv preprint arXiv:1711.06794 (AAAI, 2018), 2017 | 100 | 2017 |
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users Q Yuan, W Zhang, C Zhang, X Geng, G Cong, J Han | 100 | 2017 |
Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation W Zhang, J Wang Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 100 | 2015 |
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction W Zhang, W Wang, J Wang, H Zha Proceedings of the 2018 World Wide Web Conference on World Wide Web, 1277-1286, 2018 | 96 | 2018 |
Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction W Zhang, Q Yuan, J Han, J Wang International Joint Conference on Artificial Intelligence (IJCAI'16), 2016 | 93 | 2016 |
Zero-shot Adversarial Quantization Y Liu, W Zhang, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 85 | 2021 |
Model-based Clustering of Short Text Streams J Yin, D Chao, Z Liu, W Zhang, X Yu, J Wang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 84 | 2018 |
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction H Wu, W Zhang, W Shen, J Wang Proceedings of the 27th ACM International Conference on Information and …, 2018 | 72 | 2018 |
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network Y Jin, W Zhang, X He, X Wang, X Wang ICDE'2020 (arXiv preprint arXiv:2002.08575), 2020 | 69 | 2020 |
Scalable rule-based representation learning for interpretable classification Z Wang, W Zhang, N Liu, J Wang Advances in Neural Information Processing Systems 34, 30479-30491, 2021 | 67 | 2021 |
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning L Wang, X Chang, S Li, Y Chu, H Li, W Zhang, X He, L Song, J Zhou, ... arXiv preprint arXiv:2105.07944, 2021 | 60 | 2021 |