| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019 | 310 | 2019 |
| Improving fairness in graph neural networks via mitigating sensitive attribute leakage Y Wang, Y Zhao, Y Dong, H Chen, J Li, T Derr Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 94 | 2022 |
| Adversarial tensor factorization for context-aware recommendation H Chen, J Li Proceedings of the 13th ACM Conference on Recommender Systems, 363-367, 2019 | 88 | 2019 |
| iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding H Chen, F Cheng, J Li PLoS computational biology 16 (7), e1008040, 2020 | 76 | 2020 |
| Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth AL Tarca, BA Pataki, R Romero, M Sirota, Y Guan, R Kutum, ... Cell Reports Medicine 2 (6), 2021 | 72 | 2021 |
| Structured graph convolutional networks with stochastic masks for recommender systems H Chen, L Wang, Y Lin, CCM Yeh, F Wang, H Yang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 65 | 2021 |
| Llm maybe longlm: Self-extend llm context window without tuning H Jin, X Han, J Yang, Z Jiang, Z Liu, CY Chang, H Chen, X Hu arXiv preprint arXiv:2401.01325, 2024 | 64 | 2024 |
| Denoising self-attentive sequential recommendation H Chen, Y Lin, M Pan, L Wang, CCM Yeh, X Li, Y Zheng, F Wang, H Yang Proceedings of the 16th ACM Conference on Recommender Systems, 92-101, 2022 | 58 | 2022 |
| Neural tensor model for learning multi-aspect factors in recommender systems H Chen, J Li International Joint Conference on Artificial Intelligence (IJCAI) 2020, 2020 | 41 | 2020 |
| Graph neural transport networks with non-local attentions for recommender systems H Chen, CCM Yeh, F Wang, H Yang Proceedings of the ACM Web Conference 2022, 1955-1964, 2022 | 39 | 2022 |
| Modeling relational drug-target-disease interactions via tensor factorization with multiple web sources H Chen, J Li The World Wide Web Conference, 218-227, 2019 | 39 | 2019 |
| Exploiting structural and temporal evolution in dynamic link prediction H Chen, J Li Proceedings of the 27th ACM International conference on information and …, 2018 | 37 | 2018 |
| Toward a foundation model for time series data CCM Yeh, X Dai, H Chen, Y Zheng, Y Fan, A Der, V Lai, Z Zhuang, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 34 | 2023 |
| Learning multiple similarities of users and items in recommender systems H Chen, J Li 2017 IEEE International Conference on Data Mining (ICDM), 811-816, 2017 | 34 | 2017 |
| Drugcom: Synergistic discovery of drug combinations using tensor decomposition H Chen, J Li 2018 IEEE International Conference on Data Mining (ICDM), 899-904, 2018 | 32 | 2018 |
| Kernel ridge regression-based graph dataset distillation Z Xu, Y Chen, M Pan, H Chen, M Das, H Yang, H Tong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 31 | 2023 |
| A flexible and robust multi-source learning algorithm for drug repositioning H Chen, J Li Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 27 | 2017 |
| Data poisoning attacks on cross-domain recommendation H Chen, J Li Proceedings of the 28th ACM International Conference on Information and …, 2019 | 25 | 2019 |
| Learning data-driven drug-target-disease interaction via neural tensor network H Chen, J Li International joint conference on artificial intelligence (IJCAI), 2020 | 24 | 2020 |
| Embedding compression with hashing for efficient representation learning in large-scale graph CCM Yeh, M Gu, Y Zheng, H Chen, J Ebrahimi, Z Zhuang, J Wang, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 23 | 2022 |
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