Pan Du
Cited by
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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
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
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
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
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
VGCN-BERT: augmenting BERT with graph embedding for text classification
Z Lu, P Du, JY Nie
Advances in Information Retrieval 12035, 369, 2020
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
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
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
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
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
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
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
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
ICTGrasper at TAC2009: Temporal Preferred Update Summarization.
J Zhang, P Du, H Xu, X Cheng
TAC, 2009
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
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
Content Selection Network for Document-grounded Retrieval-based Chatbots
Y Zhu, JY Nie, K Zhou, P Du, Z Dou
ECIR (Accepted), 2021
Decayed DivRank for Guided Summarization.
P Du, J Yuan, X Lin, J Zhang, J Guo, X Cheng
TAC, 2011
Graph Topic Neural Network for Document Representation
Q Xie, J Huang, P Du, M Peng, JY Nie
The WebConf 2021 (WWW Accepted), 2021
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