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Zhiwei Liu
Zhiwei Liu
Research Scientist, Salesforce
Verified email at salesforce.com - Homepage
Title
Cited by
Cited by
Year
Enhancing graph neural network-based fraud detectors against camouflaged fraudsters
Y Dou, Z Liu, L Sun, Y Deng, H Peng, PS Yu
Proceedings of the 29th ACM international conference on information …, 2020
4742020
Alleviating the inconsistency problem of applying graph neural network to fraud detection
Z Liu, Y Dou, PS Yu, Y Deng, H Peng
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
2692020
Intent contrastive learning for sequential recommendation
Y Chen, Z Liu, J Li, J McAuley, C Xiong
Proceedings of the ACM Web Conference 2022, 2172-2182, 2022
2562022
Contrastive self-supervised sequential recommendation with robust augmentation
Z Liu, Y Chen, J Li, PS Yu, J McAuley, C Xiong
arXiv preprint arXiv:2108.06479, 2021
1882021
Continuous-time sequential recommendation with temporal graph collaborative transformer
Z Liu*, Z Fan*, J Zhang, Y Xiong, L Zheng, PS Yu
Proceedings of the 30th ACM International Conference on Information …, 2021
1822021
Federated social recommendation with graph neural network
Z Liu, L Yang, Z Fan, H Peng, PS Yu
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-24, 2022
1492022
Consisrec: Enhancing gnn for social recommendation via consistent neighbor aggregation
L Yang, Z Liu, Y Dou, J Ma, PS Yu
Proceedings of the 44th international ACM SIGIR conference on Research and …, 2021
1482021
Augmenting sequential recommendation with pseudo-prior items via reversely pre-training transformer
Z Liu, Z Fan, Y Wang, PS Yu
Proceedings of the 44th international ACM SIGIR conference on Research and …, 2021
1472021
Sequential recommendation via stochastic self-attention
Z Fan, Z Liu, Y Wang, A Wang, Z Nazari, L Zheng, H Peng, PS Yu
Proceedings of the ACM web conference 2022, 2036-2047, 2022
1392022
Basconv: Aggregating heterogeneous interactions for basket recommendation with graph convolutional neural network
Z Liu, M Wan, S Guo, K Achan, PS Yu
Proceedings of the 2020 SIAM International Conference on Data Mining, 64-72, 2020
842020
Few-shot intent detection via contrastive pre-training and fine-tuning
J Zhang, T Bui, S Yoon, X Chen, Z Liu, C Xia, QH Tran, W Chang, P Yu
arXiv preprint arXiv:2109.06349, 2021
812021
Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents
Z Liu, W Yao, J Zhang, L Xue, S Heinecke, R Murthy, Y Feng, Z Chen, ...
arXiv preprint arXiv:2308.05960, 2023
662023
Basket recommendation with multi-intent translation graph neural network
Z Liu, X Li, Z Fan, S Guo, K Achan, SY Philip
2020 IEEE International Conference on Big Data (Big Data), 728-737, 2020
662020
Dskreg: Differentiable sampling on knowledge graph for recommendation with relational gnn
Y Wang, Z Liu, Z Fan, L Sun, PS Yu
Proceedings of the 30th ACM International Conference on Information …, 2021
632021
Large-scale personalized video game recommendation via social-aware contextualized graph neural network
L Yang, Z Liu, Y Wang, C Wang, Z Fan, PS Yu
Proceedings of the ACM Web Conference 2022, 3376-3386, 2022
562022
Pre-training graph neural network for cross domain recommendation
C Wang, Y Liang, Z Liu, T Zhang, SY Philip
2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021
532021
Retroformer: Retrospective large language agents with policy gradient optimization
W Yao, S Heinecke, JC Niebles, Z Liu, Y Feng, L Xue, R Murthy, Z Chen, ...
arXiv preprint arXiv:2308.02151, 2023
522023
Contrastvae: Contrastive variational autoencoder for sequential recommendation
Y Wang, H Zhang, Z Liu, L Yang, PS Yu
Proceedings of the 31st ACM International Conference on Information …, 2022
482022
Modeling sequences as distributions with uncertainty for sequential recommendation
Z Fan, Z Liu, S Wang, L Zheng, PS Yu
Proceedings of the 30th ACM international conference on information …, 2021
472021
Are pretrained transformers robust in intent classification? a missing ingredient in evaluation of out-of-scope intent detection
J Zhang, K Hashimoto, Y Wan, Z Liu, Y Liu, C Xiong, PS Yu
arXiv preprint arXiv:2106.04564, 2021
372021
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