| Implicit feature identification via co-occurrence association rule mining Z Hai, K Chang, J Kim Computational Linguistics and Intelligent Text Processing: 12th …, 2011 | 223 | 2011 |
| Identifying features in opinion mining via intrinsic and extrinsic domain relevance Z Hai, K Chang, JJ Kim, CC Yang IEEE Transactions on Knowledge and Data Engineering 26 (3), 623-634, 2014 | 210 | 2014 |
| Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach Z Hai, G Cong, K Chang, P Cheng, C Miao IEEE Transactions on Knowledge and Data Engineering 29 (6), 1172-1185, 2017 | 76 | 2017 |
| One seed to find them all: mining opinion features via association Z Hai, K Chang, G Cong Proceedings of the 21st ACM international conference on Information and …, 2012 | 72 | 2012 |
| Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data Z Hai, P Zhao, P Cheng, P Yang, X Li, G Li The 2016 Conference on Empirical Methods in Natural Language Processing …, 2016 | 64 | 2016 |
| Coarse-to-fine review selection via supervised joint aspect and sentiment model Z Hai, G Cong, K Chang, W Liu, P Cheng Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 26 | 2014 |
| An Association-Based Unified Framework for Mining Features and Opinion Words Z Hai, K Chang, G Cong, CC Yang ACM Transactions on Intelligent Systems and Technology (TIST) 6 (2), 26:1 …, 2015 | 25 | 2015 |
| Metaphor identification: A contextual inconsistency based neural sequence labeling approach X Chen, Z Hai, S Wang, D Li, C Wang, H Luan Neurocomputing 428, 268-279, 2021 | 21 | 2021 |
| Geospatial Entity Resolution P Balsebre, D Yao, G Cong, Z Hai Proceedings of the ACM Web Conference 2022 (WWW'22), Pages 3061–3070, 2022 | 20 | 2022 |
| Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews J Liu, Z Hai, M Yang, L Bing The 59th Annual Meeting of the Association for Computational Linguistics 1 …, 2021 | 17 | 2021 |
| Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions T Nguyen, X Wu, AT Luu, CD Nguyen, Z Hai, L Bing The 2022 Conference on Empirical Methods in Natural Language Processing …, 2022 | 16 | 2022 |
| SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning W Han, H Chen, Z Hai, S Poria, L Bing Proceedings of the 29th International Conference on Computational …, 2022 | 16 | 2022 |
| Global and Local Tensor Factorization for Multi-criteria Recommender System S Wang, J Yang, Z Chen, H Yuan, J Geng, Z Hai Patterns 1 (2), 1-15, 2020 | 14 | 2020 |
| DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model Y Cheng, C Xu, Z Hai*, Y Li IEEE Transactions on Dependable and Secure Computing 1 (1), 1-14, 2020 | 12 | 2020 |
| A Statistical NLP Approach for Feature and Sentiment Identification from Chinese Reviews Z Hai, K Chang, Q Song, J Kim CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010 | 10 | 2010 |
| Mining geospatial relationships from text P Balsebre, D Yao, G Cong, H Weiming, Z Hai ACM SIGMOD, 1-14, 2023 | 9 | 2023 |
| Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning X Chen, Z Hai, D Li, S Wang, D Wang Findings of the Association for Computational Linguistics: ACL 2021, 1429–1434, 2021 | 9 | 2021 |
| Efficient multi-class selective sampling on graphs P YANG, P ZHAO, Z HAI, W LIU, SCH HOI, XL Li The Thirty-Second Conference on Uncertainty In Artificial Intelligence (UAI …, 2016 | 6 | 2016 |
| Efficient Multi-Class Selective Sampling on Graphs P Yang, P Zhao, Z Hai, W Liu, SCH Hoi, XL Li The Conference on Uncertainty in Artificial Intelligence (UAI 2016), 805-814, 2016 | 6 | 2016 |
| Gradient-boosted decision tree for listwise context model in multimodal review helpfulness prediction T Nguyen, X Wu, X Dong, AT Luu, CD Nguyen, Z Hai, L Bing arXiv preprint arXiv:2305.12678, 2023 | 4 | 2023 |
Julian Kuiyu CHANG張圭煜MoSuMaПотвърден имейл адрес: mosuma.com
