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Yiding Liu
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Cited by
Year
An experimental evaluation of point-of-interest recommendation in location-based social networks
Y Liu, TAN Pham, G Cong, Q Yuan
Proceedings of the VLDB Endowment 10 (10), 1010-1021, 2017
3422017
Learning from multiple cities: A meta-learning approach for spatial-temporal prediction
H Yao, Y Liu, Y Wei, X Tang, Z Li
The world wide web conference, 2181-2191, 2019
2582019
Online anomalous trajectory detection with deep generative sequence modeling
Y Liu, K Zhao, G Cong, Z Bao
2020 IEEE 36th International Conference on Data Engineering (ICDE), 949-960, 2020
1202020
Interact and decide: Medley of sub-attention networks for effective group recommendation
L Vinh Tran, TA Nguyen Pham, Y Tay, Y Liu, G Cong, X Li
Proceedings of the 42nd International ACM SIGIR conference on research and …, 2019
1162019
Deep multifaceted transformers for multi-objective ranking in large-scale e-commerce recommender systems
Y Gu, Z Ding, S Wang, L Zou, Y Liu, D Yin
Proceedings of the 29th ACM International Conference on Information …, 2020
1102020
Enhanced doubly robust learning for debiasing post-click conversion rate estimation
S Guo, L Zou, Y Liu, W Ye, S Cheng, S Wang, H Chen, D Yin, Y Chang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
692021
Pre-trained language model for web-scale retrieval in baidu search
Y Liu, W Lu, S Cheng, D Shi, S Wang, Z Cheng, D Yin
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
682021
Robust road network representation learning: When traffic patterns meet traveling semantics
Y Chen, X Li, G Cong, Z Bao, C Long, Y Liu, AK Chandran, R Ellison
Proceedings of the 30th ACM International Conference on Information …, 2021
652021
Ernie-search: Bridging cross-encoder with dual-encoder via self on-the-fly distillation for dense passage retrieval
Y Lu, Y Liu, J Liu, Y Shi, Z Huang, SFY Sun, H Tian, H Wu, S Wang, D Yin, ...
arXiv preprint arXiv:2205.09153, 2022
572022
Decoupled graph convolution network for inferring substitutable and complementary items
Y Liu, Y Gu, Z Ding, J Gao, Z Guo, Y Bao, W Yan
Proceedings of the 29th ACM International Conference on Information …, 2020
522020
Correlation between social proximity and mobility similarity
C Fan, Y Liu, J Huang, Z Rong, T Zhou
Scientific reports 7 (1), 11975, 2017
402017
The good and the bad: Exploring privacy issues in retrieval-augmented generation (rag)
S Zeng, J Zhang, P He, Y Xing, Y Liu, H Xu, J Ren, S Wang, D Yin, ...
arXiv preprint arXiv:2402.16893, 2024
362024
Efficient and effective similar subtrajectory search with deep reinforcement learning
Z Wang, C Long, G Cong, Y Liu
arXiv preprint arXiv:2003.02542, 2020
362020
Efficient similar region search with deep metric learning
Y Liu, K Zhao, G Cong
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
352018
Incorporating explicit knowledge in pre-trained language models for passage re-ranking
Q Dong, Y Liu, S Cheng, S Wang, Z Cheng, S Niu, D Yin
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
272022
Towards personalized maps: mining user preferences from geo-textual data
K Zhao, Y Liu, Q Yuan, L Chen, Z Chen, G Cong
PVLDB, 2016
252016
Exploring memorization in fine-tuned language models
S Zeng, Y Li, J Ren, Y Liu, H Xu, P He, Y Xing, S Wang, J Tang, D Yin
arXiv preprint arXiv:2310.06714, 2023
172023
Online anomalous subtrajectory detection on road networks with deep reinforcement learning
Q Zhang, Z Wang, C Long, C Huang, SM Yiu, Y Liu, G Cong, J Shi
2023 IEEE 39th International Conference on Data Engineering (ICDE), 246-258, 2023
172023
I3 retriever: incorporating implicit interaction in pre-trained language models for passage retrieval
Q Dong, Y Liu, Q Ai, H Li, S Wang, Y Liu, D Yin, S Ma
Proceedings of the 32nd ACM International Conference on Information and …, 2023
152023
Pre-trained language model-based retrieval and ranking for web search
L Zou, W Lu, Y Liu, H Cai, X Chu, D Ma, D Shi, Y Sun, Z Cheng, S Gu, ...
ACM Transactions on the Web 17 (1), 1-36, 2022
142022
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