| Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding J Tang, K Wang Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 770 | 2018 |
| Sequential Recommendation with User Memory Networks X Chen, H Xu, Y Zhang, J Tang, Y Cao, Z Qin, H Zha Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 354 | 2018 |
| Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System J Tang, K Wang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 94 | 2018 |
| Towards Neural Mixture Recommender for Long Range Dependent User Sequences J Tang, F Belletti, S Jain, M Chen, A Beutel, C Xu, E H Chi The World Wide Web Conference, 1782-1793, 2019 | 67 | 2019 |
| Understanding and Improving Knowledge Distillation J Tang, R Shivanna, Z Zhao, D Lin, A Singh, EH Chi, S Jain arXiv preprint arXiv:2002.03532, 2020 | 50 | 2020 |
| Off-policy Learning in Two-stage Recommender Systems J Ma, Z Zhao, X Yi, J Yang, M Chen, J Tang, L Hong, EH Chi Proceedings of The Web Conference 2020, 463-473, 2020 | 44 | 2020 |
| Revisiting Adversarially Learned Injection Attacks Against Recommender Systems J Tang, H Wen, K Wang Fourteenth ACM Conference on Recommender Systems, 318-327, 2020 | 22 | 2020 |
| Browsing Regularities in Hedonic Content Systems P Luo, G Zhou, J Tang, R Chen, Z Yu, Q He IJCAI, 3811-3817, 2016 | 1 | 2016 |
| Distributionally-robust Recommendations for Improving Worst-case User Experience H Wen, X Yi, T Yao, J Tang, L Hong, EH Chi Proceedings of the ACM Web Conference 2022, 3606-3610, 2022 | | 2022 |
| Towards Recommendation with User Action Sequences J Tang Applied Sciences: School of Computing Science, 2019 | | 2019 |
Ke WangProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
