| Eann: Event adversarial neural networks for multi-modal fake news detection Y Wang, F Ma, Z Jin, Y Yuan, G Xun, K Jha, L Su, J Gao KDD 2018, 2018 | 1109 | 2018 |
| Towards environment independent device free human activity recognition W Jiang, C Miao, F Ma, S Yao, Y Wang, Y Yuan, H Xue, C Song, X Ma, ... Proceedings of the 24th annual international conference on mobile computing …, 2018 | 532 | 2018 |
| Weak supervision for fake news detection via reinforcement learning Y Wang, W Yang, F Ma, J Xu, B Zhong, Q Deng, J Gao AAAI 2020, 2020 | 175 | 2020 |
| AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning Y Wang, S Agarwal, S Mukherjee, X Liu, J Gao, AH Awadallah, J Gao EMNLP 2022, 2022 | 161* | 2022 |
| Meta Self-training for few-shot neural sequence labeling Y Wang, S Mukherjee, H Chu, Y Tu, M Wu, J Gao, AH Awadallah KDD 2021, 2021 | 114 | 2021 |
| AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ... KDD 2020, 2020 | 90 | 2020 |
| Muvan: A multi-view attention network for multivariate temporal data Y Yuan, G Xun, F Ma, Y Wang, N Du, K Jia, L Su, A Zhang 2018 IEEE International Conference on Data Mining (ICDM), 717-726, 2018 | 81 | 2018 |
| Multimodal Emergent Fake News Detection via Meta Neural Process Networks Y Wang, F Ma, H Wang, K Jha, J Gao KDD 2021, 3708–3716, 2021 | 58 | 2021 |
| MeSHProbeNet: a self-attentive probe net for MeSH indexing G Xun, K Jha, Y Yuan, Y Wang, A Zhang Bioinformatics 35 (19), 3794-3802, 2019 | 54 | 2019 |
| MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths M Ye, S Cui, Y Wang, J Luo, C Xiao, F Ma WWW 2021, 2021 | 53 | 2021 |
| A hybrid self-attention deep learning framework for multivariate sleep stage classification Y Yuan, K Jia, F Ma, G Xun, Y Wang, L Su, A Zhang BMC bioinformatics 20, 1-10, 2019 | 46 | 2019 |
| Outlier weighed layerwise sparsity (owl): A missing secret sauce for pruning llms to high sparsity L Yin, Y Wu, Z Zhang, CY Hsieh, Y Wang, Y Jia, G Li, A Jaiswal, ... arXiv preprint arXiv:2310.05175, 2023 | 42 | 2023 |
| Learning from language description: Low-shot named entity recognition via decomposed framework Y Wang, H Chu, C Zhang, J Gao arXiv preprint arXiv:2109.05357, 2021 | 41 | 2021 |
| A general framework for diagnosis prediction via incorporating medical code descriptions F Ma, Y Wang, H Xiao, Y Yuan, R Chitta, J Zhou, J Gao 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 38 | 2018 |
| Interpretable word embeddings for medical domain K Jha, Y Wang, G Xun, A Zhang ICDM 2018, 1061-1066, 2018 | 36 | 2018 |
| Teach LLMs to Personalize--An Approach inspired by Writing Education C Li, M Zhang, Q Mei, Y Wang, SA Hombaiah, Y Liang, M Bendersky arXiv preprint arXiv:2308.07968, 2023 | 35 | 2023 |
| Hypothesis generation from text based on co-evolution of biomedical concepts K Jha, G Xun, Y Wang, A Zhang KDD 2019, 2019 | 30 | 2019 |
| Fedcon: A contrastive framework for federated semi-supervised learning Z Long, J Wang, Y Wang, H Xiao, F Ma arXiv preprint arXiv:2109.04533, 2021 | 28 | 2021 |
| Discovering truths from distributed data Y Wang, F Ma, L Su, J Gao ICDM 2017, 2017 | 26 | 2017 |
| Concepts-bridges: Uncovering conceptual bridges based on biomedical concept evolution K Jha, G Xun, Y Wang, V Gopalakrishnan, A Zhang KDD 2018, 2018 | 24 | 2018 |
Fenglong MaPennsylvania State University在 psu.edu 的电子邮件经过验证
