Jia Li
Jia Li
Salesforce Research
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Cited by
Cited by
Latent Cross: Making Use of Context in Recurrent Recommender Systems
A Beutel, P Covington, S Jain, C Xu, J Li, V Gatto, EH Chi
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT
L Sun, K Hashimoto, W Yin, A Asai, J Li, P Yu, C Xiong
arXiv preprint arXiv:2003.04985, 2020
Both nearest neighbours and long-term affiliates predict individual locations during collective movement in wild baboons
DR Farine, A Strandburg-Peshkin, T Berger-Wolf, B Ziebart, I Brugere, J Li, ...
Scientific reports 6 (1), 1-10, 2016
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
S Li, S Yavuz, K Hashimoto, J Li, T Niu, N Rajani, X Yan, Y Zhou, C Xiong
arXiv preprint arXiv:2010.12850, 2020
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
Intent Contrastive Learning for Sequential Recommendation
Y Chen, Z Liu, J Li, J McAuley, C Xiong
arXiv preprint arXiv:2202.02519, 2022
How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search Ranking
J Li, D Arya, V Ha-Thuc, S Sinha
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
Adversarial Sequence Tagging.
J Li, K Asif, H Wang, BD Ziebart, TY Berger-Wolf
IJCAI, 1690-1696, 2016
Social information improves location prediction in the wild
J Li, I Brugere, B Ziebart, T Berger-Wolf, M Crofoot, D Farine
Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Modeling Dynamic Attributes for Next Basket Recommendation
Y Chen, J Li, C Liu, C Li, M Anderle, J McAuley, C Xiong
arXiv preprint arXiv:2109.11654, 2021
Entity-aware features for personalized job search ranking
J Li, D Arya, SD Sinha, VT Ha, D Agarwal
US Patent 9,639,827, 2017
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
Z Ovaisi, S Heinecke, J Li, Y Zhang, E Zheleva, C Xiong
arXiv preprint arXiv:2201.04399, 2022
Entity-faceted historical click-through-rate
J Li, D Arya, SD Sinha, VT Ha, D Agarwal
US Patent 10,726,084, 2020
A Game-Theoretic Adversarial Approach to Dynamic Network Prediction
J Li, B Ziebart, T Berger-Wolf
The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
W Yin, S Heinecke, J Li, NS Keskar, M Jones, S Shi, S Georgiev, K Milich, ...
arXiv preprint arXiv:2111.10497, 2021
Self-supervised Learning for Sequential Recommendation with Model Augmentation
Z Liu, Y Chen, J Li, M Luo, SY Philip, C Xiong
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation
SHOI Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo ...
Proceedings of the 30th ACM International Conference on Information and …, 2021
Structured prediction in time series data
J Li
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
Inferring Visibility Networks from High-Resolution Remotely Sensed Data
J Li, B Vitale, B Ziebart, M Crofoot, A Strandburg-Peshkin, D Farine, ...
NetSci Symposium on Statistical Inference of Network Models, 2017
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Articles 1–19