| 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 | 445 | 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 | 118 | 2020 |
| 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 | 113* | 2019 |
| 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 | 99* | 2021 |
| Zero-shot recommender systems H Ding, Y Ma, A Deoras, Y Wang, H Wang arXiv preprint arXiv:2105.08318, 2021 | 97 | 2021 |
| Temporal-Contextual Recommendation in Real-Time Y Ma, BM Narayanaswamy, H Lin, H Ding Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and …, 2020 | 82 | 2020 |
| Convolutional Set Matching for Graph Similarity Y Bai*, H Ding*, Y Sun, W Wang NeurIPS 2018 Relational Representation Learning Workshop, 2018 | 54 | 2018 |
| 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 | 30 | 2017 |
| 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 | 21 | 2018 |
| 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 | 11 | 2024 |
| 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 | 8 | 2023 |
| 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 | 8 | 2022 |
| 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 | 6 | 2024 |
| Reasoning and planning with large language models in code development H Ding, Z Fan, I Gühring, G Gupta, W Ha, J Huan, L Liu, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 4 | 2024 |
| 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 | 3 | 2023 |
| Language-Model Prior Overcomes Cold-Start Items S Wang, H Ding, Y Gu, S Aydore, K Kalantari, B Kveton arXiv preprint arXiv:2411.09065, 2024 | 1 | 2024 |
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
