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 | 141 | 2018 |
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, 27704, 2016 | 39 | 2016 |
Adversarial Sequence Tagging. J Li, K Asif, H Wang, BD Ziebart, TY Berger-Wolf IJCAI, 1690-1696, 2016 | 17 | 2016 |
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 | 14 | 2016 |
Social information improves location prediction in the wild J Li, I Brugere, B Ziebart, TY Berger-Wolf, MC Crofoot, DR Farine AAAI Workshops, 2015 | 13 | 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 | 4 | 2017 |
Entity-faceted historical click-through-rate J Li, D Arya, SD Sinha, VT Ha, D Agarwal US Patent 10,726,084, 2020 | 1 | 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 | 1 | 2018 |
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 | | 2020 |
Structured prediction in time series data J Li Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | | 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 | | 2017 |