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 | 417 | 2018 |
Intent Contrastive Learning for Sequential Recommendation Y Chen, Z Liu, J Li, J McAuley, C Xiong arXiv preprint arXiv:2202.02519, 2022 | 290 | 2022 |
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 | 208 | 2021 |
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 | 143 | 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 | 70 | 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 | 69 | 2020 |
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 | 35 | 2016 |
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 | 23 | 2021 |
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 | 21 | 2022 |
Adversarial Sequence Tagging. J Li, K Asif, H Wang, BD Ziebart, TY Berger-Wolf IJCAI, 1690-1696, 2016 | 18 | 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 | 14 | 2015 |
Entity-aware features for personalized job search ranking J Li, D Arya, SD Sinha, VT Ha, D Agarwal US Patent 9,639,827, 2017 | 8 | 2017 |
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 | 7* | 2021 |
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 | 3 | 2021 |
Self-supervised Learning for Sequential Recommendation with Model Augmentation Z Liu, Y Chen, J Li, M Luo, SY Philip, C Xiong | 3 | 2021 |
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 | 2 | 2018 |
Structured prediction in time series data J Li Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 2 | 2017 |
Entity-faceted historical click-through-rate J Li, D Arya, SD Sinha, VT Ha, D Agarwal US Patent 10,726,084, 2020 | | 2020 |
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 | | 2017 |