| 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 | 312 | 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 | 278 | 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 | 200 | 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 | 181 | 2013 |
| Adaptive multi-teacher multi-level knowledge distillation Y Liu, W Zhang, J Wang Neurocomputing 415, 106-113, 2020 | 157 | 2020 |
| 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 | 135 | 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 | 131 | 2015 |
| 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 | 117 | 2021 |
| 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 |
| PRED: Periodic Region Detection for Mobility Modeling of Social Media Users Q Yuan, W Zhang, C Zhang, X Geng, G Cong, J Han | 99 | 2017 |
| 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 | 98 | 2017 |
| 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 | 97 | 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 |
| 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 | 92 | 2018 |
| Zero-shot Adversarial Quantization Y Liu, W Zhang, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 81 | 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 | 81 | 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 | 67 | 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 | 64 | 2020 |
| Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction W Zhang, J Wang IEEE Transactions on Knowledge and Data Engineering 28 (11), 3013-3027, 2016 | 59 | 2016 |
| 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 | 58 | 2021 |
Jianyong WangTsinghua UniversityVerified email at tsinghua.edu.cn
