| Abusive language detection in online user content C Nobata, J Tetreault, A Thomas, Y Mehdad, Y Chang Proceedings of the 25th international conference on world wide web, 145-153, 2016 | 1186 | 2016 |
| Yahoo! learning to rank challenge overview O Chapelle, Y Chang Proceedings of the learning to rank challenge, 1-24, 2011 | 685 | 2011 |
| A novel cascade binary tagging framework for relational triple extraction Z Wei, J Su, Y Wang, Y Tian, Y Chang arXiv preprint arXiv:1909.03227, 2019 | 387 | 2019 |
| Attributed network embedding for learning in a dynamic environment J Li, H Dani, X Hu, J Tang, Y Chang, H Liu Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 373 | 2017 |
| A survey of signed network mining in social media J Tang, Y Chang, C Aggarwal, H Liu ACM Computing Surveys (CSUR) 49 (3), 1-37, 2016 | 325 | 2016 |
| Graphlime: Local interpretable model explanations for graph neural networks Q Huang, M Yamada, Y Tian, D Singh, Y Chang IEEE Transactions on Knowledge and Data Engineering, 2022 | 277 | 2022 |
| Signed network embedding in social media S Wang, J Tang, C Aggarwal, Y Chang, H Liu Proceedings of the 2017 SIAM international conference on data mining, 327-335, 2017 | 273 | 2017 |
| Time is of the essence: improving recency ranking using twitter data A Dong, R Zhang, P Kolari, J Bai, F Diaz, Y Chang, Z Zheng, H Zha Proceedings of the 19th international conference on World wide web, 331-340, 2010 | 253 | 2010 |
| Streaming recommender systems S Chang, Y Zhang, J Tang, D Yin, Y Chang, MA Hasegawa-Johnson, ... Proceedings of the 26th international conference on world wide web, 381-389, 2017 | 216 | 2017 |
| Zero-shot user intent detection via capsule neural networks C Xia, C Zhang, X Yan, Y Chang, PS Yu arXiv preprint arXiv:1809.00385, 2018 | 203 | 2018 |
| Towards recency ranking in web search A Dong, Y Chang, Z Zheng, G Mishne, J Bai, R Zhang, K Buchner, C Liao, ... Proceedings of the third ACM international conference on Web search and data …, 2010 | 203 | 2010 |
| Mining social media with social theories: a survey J Tang, Y Chang, H Liu ACM Sigkdd Explorations Newsletter 15 (2), 20-29, 2014 | 186 | 2014 |
| Target-sensitive memory networks for aspect sentiment classification S Wang, S Mazumder, B Liu, M Zhou, Y Chang Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 180 | 2018 |
| What is tumblr: A statistical overview and comparison Y Chang, L Tang, Y Inagaki, Y Liu ACM SIGKDD explorations newsletter 16 (1), 21-29, 2014 | 179 | 2014 |
| Ranking relevance in yahoo search D Yin, Y Hu, J Tang, T Daly, M Zhou, H Ouyang, J Chen, C Kang, H Deng, ... Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 144 | 2016 |
| Friend or frenemy? Predicting signed ties in social networks SH Yang, AJ Smola, B Long, H Zha, Y Chang Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 143 | 2012 |
| Structure-augmented text representation learning for efficient knowledge graph completion B Wang, T Shen, G Long, T Zhou, Y Wang, Y Chang Proceedings of the Web Conference 2021, 1737-1748, 2021 | 141 | 2021 |
| Active learning for ranking through expected loss optimization B Long, O Chapelle, Y Zhang, Y Chang, Z Zheng, B Tseng Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 141 | 2010 |
| Self-paced ensemble for highly imbalanced massive data classification Z Liu, W Cao, Z Gao, J Bian, H Chen, Y Chang, TY Liu 2020 IEEE 36th international conference on data engineering (ICDE), 841-852, 2020 | 124 | 2020 |
| Learning to model relatedness for news recommendation Y Lv, T Moon, P Kolari, Z Zheng, X Wang, Y Chang Proceedings of the 20th international conference on World wide web, 57-66, 2011 | 122 | 2011 |
