| MMKG: multi-modal knowledge graphs Y Liu, H Li, A Garcia-Duran, M Niepert, D Onoro-Rubio, DS Rosenblum European Semantic Web Conference (ESWC), 459-474, 2019 | 254 | 2019 |
| Overlapping community regularization for rating prediction in social recommender systems H Li, D Wu, W Tang, N Mamoulis ACM Conference on Recommender Systems (RecSys), 27-34, 2015 | 96 | 2015 |
| Recsys-dan: discriminative adversarial networks for cross-domain recommender systems C Wang, M Niepert, H Li IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 31 (8 …, 2020 | 94 | 2020 |
| Efficient fault-tolerant group recommendation using alpha-beta-core D Ding, H Li, Z Huang, N Mamoulis Conference on Information and Knowledge Management (CIKM), 2047-2050, 2017 | 93 | 2017 |
| Code completion by modeling flattened abstract syntax trees as graphs Y Wang, H Li AAAI Conference on Artificial Intelligence (AAAI) 35 (16), 14015-14023, 2021 | 90 | 2021 |
| Attacking Recommender Systems with Augmented User Profiles C Lin, S Chen, H Li, Y Xiao, L Li, Q Yang Conference on Information and Knowledge Management (CIKM), 855-864, 2020 | 90 | 2020 |
| On multi-relational link prediction with bilinear models Y Wang, R Gemulla, H Li AAAI Conference on Artificial Intelligence (AAAI), 2018 | 85 | 2018 |
| FEXIPRO: fast and exact inner product retrieval in recommender systems H Li, TN Chan, ML Yiu, N Mamoulis ACM International Conference on Management of Data (SIGMOD), 835-850, 2017 | 85 | 2017 |
| Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting C Lin, Z Ouyang, J Zhuang, J Chen, H Li, R Wu IEEE/ACM International Conference on Program Comprehension (ICPC), 184-195, 2021 | 79 | 2021 |
| Multi-task learning for recommendation over heterogeneous information network H Li, Y Wang, Z Lyu, J Shi IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 | 75 | 2020 |
| Prompt-enhanced software vulnerability detection using chatgpt C Zhang, H Liu, J Zeng, K Yang, Y Li, H Li Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024 | 57 | 2024 |
| Translation-based sequential recommendation for complex users on sparse data H Li, Y Liu, N Mamoulis, DS Rosenblum IEEE Transactions on Knowledge and Data Engineering (TKDE) 32 (8), 1639-1651, 2020 | 51 | 2020 |
| Content-based filtering recommendation algorithm using HMM H Li, F Cai, Z Liao International Conference on Computational and Information Sciences (ICCIS …, 2012 | 46 | 2012 |
| Mitigating Sentiment Bias for Recommender Systems C Lin, X Liu, G Xv, H Li International ACM SIGIR Conference on Research and Development in …, 2021 | 43 | 2021 |
| LRMM: Learning to Recommend with Missing Modalities C Wang, M Niepert, H Li Conference on Empirical Methods in Natural Language Processing (EMNLP), 3360 …, 2018 | 42 | 2018 |
| Hbgg: a hierarchical bayesian geographical model for group recommendation Z Lu, H Li, N Mamoulis, DW Cheung SIAM International Conference on Data Mining (SDM), 372-380, 2017 | 37 | 2017 |
| Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles C Lin, S Chen, M Zeng, S Zhang, M Gao, H Li IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 | 36 | 2022 |
| Multi-view group representation learning for location-aware group recommendation Z Lyu, M Yang, H Li Information Sciences 580, 495-509, 2021 | 36 | 2021 |
| Adaptive code learning for spark configuration tuning C Lin, J Zhuang, J Feng, H Li, X Zhou, G Li 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1995-2007, 2022 | 32 | 2022 |
| Knowledge prompt-tuning for sequential recommendation J Zhai, X Zheng, CD Wang, H Li, Y Tian Proceedings of the 31st ACM International Conference on Multimedia, 6451-6461, 2023 | 30 | 2023 |
