| A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... ACM Transactions on Intelligent Systems and Technology 15 (3), 1-45, 2024 | 1593 | 2024 |
| 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 | 1397 | 2016 |
| Yahoo! learning to rank challenge overview O Chapelle, Y Chang Proceedings of the learning to rank challenge, 1-24, 2011 | 749 | 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 | 612 | 2019 |
| 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 35 (7), 6968-6972, 2022 | 444 | 2022 |
| 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 | 410 | 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 | 367 | 2016 |
| 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 | 311 | 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 | 255 | 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 | 252 | 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 | 244 | 2018 |
| 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 | 240 | 2021 |
| 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 | 209 | 2010 |
| Mining social media with social theories: a survey J Tang, Y Chang, H Liu ACM Sigkdd Explorations Newsletter 15 (2), 20-29, 2014 | 207 | 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 | 201 | 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 | 191 | 2014 |
| 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 | 186 | 2020 |
| 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 | 169 | 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 | 147 | 2012 |
| 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 | 142 | 2010 |