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Jianling Wang
Jianling Wang
Research Scientist, Google DeepMind
Verified email at tamu.edu - Homepage
Title
Cited by
Cited by
Year
Next-item recommendation with sequential hypergraphs
J Wang, K Ding, L Hong, H Liu, J Caverlee
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
2322020
Be more with less: Hypergraph attention networks for inductive text classification
K Ding, J Wang, J Li, D Li, H Liu
arXiv preprint arXiv:2011.00387, 2020
1922020
Graph prototypical networks for few-shot learning on attributed networks
K Ding, J Wang, J Li, K Shu, C Liu, H Liu
Proceedings of the 29th ACM International Conference on Information …, 2020
1272020
Popularity-opportunity bias in collaborative filtering
Z Zhu, Y He, X Zhao, Y Zhang, J Wang, J Caverlee
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
1232021
Measuring and mitigating item under-recommendation bias in personalized ranking systems
Z Zhu, J Wang, J Caverlee
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
972020
Session-based recommendation with hypergraph attention networks
J Wang, K Ding, Z Zhu, J Caverlee
Proceedings of the 2021 SIAM international conference on data mining (SDM …, 2021
782021
Improving top-k recommendation via jointcollaborative autoencoders
Z Zhu, J Wang, J Caverlee
The World Wide Web Conference, 3483-3482, 2019
572019
Item relationship graph neural networks for e-commerce
W Liu, Y Zhang, J Wang, Y He, J Caverlee, PPK Chan, DS Yeung, ...
IEEE Transactions on Neural Networks and Learning Systems 33 (9), 4785-4799, 2021
472021
Sequential recommendation for cold-start users with meta transitional learning
J Wang, K Ding, J Caverlee
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
452021
A hierarchical self-attentive model for recommending user-generated item lists
Y He, J Wang, W Niu, J Caverlee
Proceedings of the 28th ACM international conference on information and …, 2019
342019
Time to Shop for Valentine's Day: Shopping Occasions and Sequential Recommendation in E-commerce
J Wang, R Louca, D Hu, C Cellier, J Caverlee, L Hong
Proceedings of the 13th International Conference on Web Search and Data …, 2020
322020
Quantifying and mitigating popularity bias in conversational recommender systems
A Lin, J Wang, Z Zhu, J Caverlee
Proceedings of the 31st ACM international conference on information …, 2022
312022
Meta propagation networks for graph few-shot semi-supervised learning
K Ding, J Wang, J Caverlee, H Liu
Proceedings of the AAAI conference on artificial intelligence 36 (6), 6524-6531, 2022
312022
Recurrent recommendation with local coherence
J Wang, J Caverlee
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
302019
Key opinion leaders in recommendation systems: Opinion elicitation and diffusion
J Wang, K Ding, Z Zhu, Y Zhang, J Caverlee
Proceedings of the 13th international conference on web search and data …, 2020
252020
Learning strong graph neural networks with weak information
Y Liu, K Ding, J Wang, V Lee, H Liu, S Pan
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
202023
Adaptive hierarchical translation-based sequential recommendation
Y Zhang, Y He, J Wang, J Caverlee
Proceedings of the Web Conference 2020, 2984-2990, 2020
152020
Exploring heterogeneous metadata for video recommendation with two-tower model
J Wang, A Yessenalina, A Roshan-Ghias
arXiv preprint arXiv:2109.11059, 2021
112021
Learning to augment for casual user recommendation
J Wang, Y Le, B Chang, Y Wang, EH Chi, M Chen
Proceedings of the ACM Web Conference 2022, 2183-2194, 2022
92022
User recommendation in content curation platforms
J Wang, Z Zhu, J Caverlee
Proceedings of the 13th International Conference on Web Search and Data …, 2020
92020
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