| VGCN-BERT: augmenting BERT with graph embedding for text classification Z Lu, P Du, JY Nie European Conference on Information Retrieval, 369-382, 2020 | 68 | 2020 |
| Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation L Zou, L Xia, P Du, Z Zhang, T Bai, W Liu, JY Nie, D Yin ACM WSDM 2020, 2020 | 63 | 2020 |
| A unified framework for recommending diverse and relevant queries X Zhu, J Guo, X Cheng, P Du, HW Shen Proceedings of the 20th international conference on World wide web, 37-46, 2011 | 59 | 2011 |
| Ranking on data manifold with sink points XQ Cheng, P Du, J Guo, X Zhu, Y Chen IEEE Transactions on Knowledge and Data Engineering 25 (1), 177-191, 2011 | 53 | 2011 |
| An attribute-aware neural attentive model for next basket recommendation T Bai, JY Nie, WX Zhao, Y Zhu, P Du, JR Wen The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 52 | 2018 |
| DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases JYN Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng SIGIR'19 Proceedings of the 42nd International ACM SIGIR Conference on …, 2019 | 34* | 2019 |
| Manifold ranking with sink points for update summarization P Du, J Guo, J Zhang, X Cheng Proceedings of the 19th ACM international conference on Information and …, 2010 | 34 | 2010 |
| Convergent innovation in food through big data and artificial intelligence for societal-scale inclusive growth L Dubé, P Du, C McRae, N Sharma, S Jayaraman, JY Nie Technology Innovation Management Review 8 (2), 2018 | 30 | 2018 |
| CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation JYN Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Ji-Rong Wen The 42nd International ACM SIGIR Conference on Research & Development in …, 2019 | 29 | 2019 |
| Learning sequential features for cascade outbreak prediction C Gou, H Shen, P Du, D Wu, Y Liu, X Cheng Knowledge and Information Systems 54, 2018 | 24 | 2018 |
| A novel relational learning-to-rank approach for topic-focused multi-document summarization Y Zhu, Y Lan, J Guo, P Du, X Cheng 2013 IEEE 13th International Conference on Data Mining, 927-936, 2013 | 17 | 2013 |
| A long-short demands-aware model for next-item recommendation T Bai, P Du, WX Zhao, JR Wen, JY Nie arXiv preprint arXiv:1903.00066, 2019 | 11 | 2019 |
| Decayed divrank: Capturing relevance, diversity and prestige in information networks P Du, J Guo, XQ Cheng Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 9 | 2011 |
| ICTGrasper at TAC2009: Temporal Preferred Update Summarization. J Zhang, P Du, H Xu, X Cheng TAC, 2009 | 8 | 2009 |
| Contrastive learning of user behavior sequence for context-aware document ranking Y Zhu, JY Nie, Z Dou, Z Ma, X Zhang, P Du, X Zuo, H Jiang Proceedings of the 30th ACM International Conference on Information …, 2021 | 7 | 2021 |
| Mutux at SemEval-2018 Task 1: exploring impacts of context information on emotion detection P Du, JY Nie Proceedings of the 12th international workshop on semantic evaluation, 345-349, 2018 | 7 | 2018 |
| Content Selection Network for Document-grounded Retrieval-based Chatbots Y Zhu, JY Nie, K Zhou, P Du, Z Dou ECIR (Accepted), 2021 | 6 | 2021 |
| Graph Topic Neural Network for Document Representation Q Xie, J Huang, P Du, M Peng, JY Nie The WebConf 2021 (WWW Accepted), 2021 | 6 | 2021 |
| Supervised lazy random walk for topic-focused multi-document summarization P Du, J Guo, X Cheng 2011 IEEE 11th International Conference on Data Mining, 1026-1031, 2011 | 6 | 2011 |
| Exploring the query-flow graph with a mixture model for query recommendation L Bai, J Guo, X Cheng, X Geng, P Du Proceedings of SIGIR Workshop on Query Representation and Understanding, 2011 | 6 | 2011 |
Jian-Yun Nieuniversity of montrealBestätigte E-Mail-Adresse bei iro.umontreal.ca
