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Hao Ding
Hao Ding
Senior Applied Scientist, AWS AI
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Y Bai, H Ding, B Song, T Chen, Y Sun, W Wang
Proceedings of the 12th ACM International Conference on Web Search and Data …, 2019
3662019
Unsupervised inductive whole-graph embedding by preserving graph proximity
Y Bai, H Ding, Y Qiao, A Marinovic, K Gu, T Chen, Y Sun, W Wang
Proceedings of the 28th International Joint Conference on Artificial …, 2019
100*2019
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
Y Bai*, H Ding*, K Gu, Y Sun, W Wang
Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
942020
Language Models as Recommender Systems: Evaluations and Limitations
Y Zhang, H Ding, Z Shui, Y Ma, J Zou, A Deoras, H Wang
NeurIPS 2021 Workshop, 2021
71*2021
Temporal-Contextual Recommendation in Real-Time
Y Ma, BM Narayanaswamy, H Lin, H Ding
Proceedings of the 26th ACM SIGKDD international conference on Knowledge …, 2020
672020
Zero-shot recommender systems
H Ding, Y Ma, A Deoras, Y Wang, H Wang
arXiv preprint arXiv:2105.08318, 2021
622021
Convolutional Set Matching for Graph Similarity
Y Bai*, H Ding*, Y Sun, W Wang
NeurIPS 2018 Relational Representation Learning Workshop, 2018
502018
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification
L He, CT Lu, H Ding, S Wang, L Shen, PS Yu, AB Ragin
Proceedings of the Computer Vision and Pattern Recognition (CVPR), 2017
252017
Learning from Multi-View Multi-Way Data via Structural Factorization Machines
CT Lu, L He, H Ding, B Cao, PS Yu
Proceedings of the 27th International Conference on World Wide Web (WWW), 2018
232018
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems
H Wang, Y Ma, H Ding, Y Wang
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022
42022
Personalized Federated Domain Adaptation for Item-to-Item Recommendation
Z Fan, H Ding, A Deoras, TN Hoang
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence …, 2023
32023
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs
B Rahdari, H Ding, Z Fan, Y Ma, Z Chen, A Deoras, B Kveton
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
22024
Pre-trained Recommender Systems: A Causal Debiasing Perspective
Z Lin*, H Ding*, N Hoang, B Kveton, A Deoras, H Wang
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
12024
Trending Now: Modeling Trend Recommendations
H Ding, B Kveton, Y Ma, Y Park, V Kini, Y Gu, R Divvela, F Wang, ...
Proceedings of the 17th ACM Conference on Recommender Systems (RecSys), 2023
12023
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