| What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation S Wang, Y Wang, J Tang, K Shu, S Ranganath, H Liu 26th International Conference on World Wide Web, 2017 | 165 | 2017 |
| Sentiment Analysis for Social Media Images Y Wang, B Li 2015 IEEE International Conference on Data Mining Workshop, pp: 1584-1591, 2015 | 117 | 2015 |
| Unsupervised Sentiment Analysis for Social Media Images Y Wang, S Wang, J Tang, H Liu, B Li 24th International Joint Conference on Artificial Intelligence, 2015 | 117* | 2015 |
| Exploring Implicit Hierarchical Structure for Recommender Systems S Wang, J Tang, Y Wang, H Liu IJCAI, 2015 | 66 | 2015 |
| Hierarchical Attention Network for Action Recognition in Videos Y Wang, S Wang, J Tang, N O'Hare, Y Chang, B Li arXiv preprint arXiv:1607.06416, 2016 | 63 | 2016 |
| Understanding and Discovering Deliberate Self-harm Content in Social Media Y Wang, J Tang, J Li, B Li, Y Wan, C Mellina, N O'Hare, Y Chang 26th International Conference on World Wide Web, 2017 | 32 | 2017 |
| PPP:Joint Pointwise and Pairwise Image Label Prediction Y Wang, S Wang, J Tang, H Liu, B Li The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 29 | 2016 |
| Crossfire: Cross media joint friend and item recommendations K Shu, S Wang, J Tang, Y Wang, H Liu Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 28 | 2018 |
| Exploring hierarchical structures for recommender systems S Wang, J Tang, Y Wang, H Liu IEEE Transactions on Knowledge and Data Engineering 30 (6), 1022-1035, 2018 | 27 | 2018 |
| CLARE:A Joint Approach to Label Classification and Tag Recommendation Y Wang, S Wang, J Tang, G Qi, H Liu, B Li AAAI Conference on Artificial Intelligence, 2017 | 25 | 2017 |
| Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach Y Wang, Y Hu, S Kambhampati, B Li. Proceedings of the Ninth International Conference on Web and Social Media …, 2015 | 25 | 2015 |
| Exploiting Hierarchical Structures for Unsupervised Feature Selection S Wang, Y Wang, J Tang, C Aggarwal, S Ranganath, H Liu SDM 2017, 2017 | 11 | 2017 |
| Efficient Unsupervised Abnormal Crowd Activity Detection Based on a Spatiotemporal Saliency Detector Y Wang, Q Zhang, B Li 2016 IEEE Winter Conference on Applications of Computer Vision, 2016 | 10 | 2016 |
| Multimodal Style Transfer via Graph Cuts Y Zhang, C Fang, Y Wang, Z Wang, Z Lin, Y Fu, J Yang ICCV, 2019 | 8 | 2019 |
| Weakly supervised facial attribute manipulation via deep adversarial network Y Wang, S Wang, G Qi, J Tang, B Li 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 112-121, 2018 | 8 | 2018 |
| Image Co-segmentation via Multi-task Learning Q Zhang, J Zhou, Y Wang, J Ye, B Li. BMVC, 2014 | 8 | 2014 |
| Understanding and Predicting Delay in Reciprocal Relations J Li, J Tang, Y Wang, Y Wan, Y Chang, H Liu arXiv preprint arXiv:1703.01393, 2017 | 7 | 2017 |
| Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection PS Chandakkar, Y Wang, B Li. WACV, 2015 | 6 | 2015 |
| Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector Q Zhang, Y Wang, B Li arXiv preprint arXiv:1503.06917, 2015 | 5 | 2015 |
| Incorporating reinforced adversarial learning in autoregressive image generation KE Ak, N Xu, Z Lin, Y Wang arXiv preprint arXiv:2007.09923, 2020 | 4 | 2020 |
Baoxin LiArizona State UniversityVerified email at asu.edu
