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Qian YU
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Year
APE: Argument pair extraction from peer review and rebuttal via multi-task learning
L Cheng, L Bing, Q Yu, W Lu, L Si
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
522020
Review-aware answer prediction for product-related questions incorporating aspects
Q Yu, W Lam
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
422018
Responding e-commerce product questions via exploiting qa collections and reviews
Q Yu, W Lam, Z Wang
Proceedings of the 27th International Conference on Computational …, 2018
192018
Review-based Question Generation with Adaptive Instance Transfer and Augmentation
Q Yu, L Bing, Q Zhang, W Lam, L Si
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
18*2020
Decoder-only or encoder-decoder? interpreting language model as a regularized encoder-decoder
Z Fu, W Lam, Q Yu, AMC So, S Hu, Z Liu, N Collier
arXiv preprint arXiv:2304.04052, 2023
152023
Alleviating cold-start problem in CTR prediction with a variational embedding learning framework
X Xu, C Yang, Q Yu, Z Fang, J Wang, C Fan, Y He, C Peng, Z Lin, J Shao
Proceedings of the ACM Web Conference 2022, 27-35, 2022
142022
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
L Cheng, L Bing, R He, Q Yu, Y Zhang, L Si
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
142022
Data augmentation based on adversarial autoencoder handling imbalance for learning to rank
Q Yu, W Lam
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 411-418, 2019
122019
Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering
Y Xu, Q Yu, W Lam, T Lin
Knowledge and Information Systems 52, 221-254, 2017
102017
Product question intent detection using indicative clause attention and adversarial learning
Q Yu, W Lam
Proceedings of the 2018 ACM SIGIR International Conference on Theory of …, 2018
92018
Product question answering in e-commerce: A survey
Y Deng, W Zhang, Q Yu, W Lam
arXiv preprint arXiv:2302.08092, 2023
82023
Enhancing drug–drug interaction prediction by three-way decision and knowledge graph embedding
X Hao, Q Chen, H Pan, J Qiu, Y Zhang, Q Yu, Z Han, X Du
Granular Computing 8 (1), 67-76, 2023
72023
Answering product-related questions with heterogeneous information
W Zhang, Q Yu, W Lam
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020
42020
Rényi divergence based generalization for learning of classification restricted Boltzmann machines
Q Yu, Y Hou, X Zhao, G Cheng
2014 IEEE International Conference on Data Mining Workshop, 692-697, 2014
42014
An incremental update framework for online recommenders with data-driven prior
C Yang, J Chen, Q Yu, X Wu, K Ma, Z Zhao, Z Fang, W Chen, C Fan, J He, ...
Proceedings of the 32nd ACM International Conference on Information and …, 2023
22023
Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction
X Xu, Z Fang, Q Yu, R Huang, Y Li, Y He, C Peng, Z Lin, J Shao
Proceedings of the 45th International ACM SIGIR conference on Research and …, 2022
22022
A distribution separation method using irrelevance feedback data for information retrieval
P Zhang, Q Yu, Y Hou, D Song, J Li, B Hu
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (3), 1-26, 2017
22017
Document Boltzmann machines for information retrieval
Q Yu, P Zhang, Y Hou, D Song, J Wang
Advances in Information Retrieval: 37th European Conference on IR Research …, 2015
22015
Generalized analysis of a distribution separation method
P Zhang, Q Yu, Y Hou, D Song, J Li, B Hu
Entropy 18 (4), 105, 2016
12016
Understanding boltzmann machine and deep learning via a confident information first principle
X Zhao, Y Hou, Q Yu, D Song, W Li
arXiv preprint arXiv:1302.3931, 2013
12013
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